CN115527111A - Remote sensing extraction method, device and equipment for rice planting information and multiple cropping index - Google Patents
Remote sensing extraction method, device and equipment for rice planting information and multiple cropping index Download PDFInfo
- Publication number
- CN115527111A CN115527111A CN202211111990.7A CN202211111990A CN115527111A CN 115527111 A CN115527111 A CN 115527111A CN 202211111990 A CN202211111990 A CN 202211111990A CN 115527111 A CN115527111 A CN 115527111A
- Authority
- CN
- China
- Prior art keywords
- crop
- planting
- index
- curve
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/58—Extraction of image or video features relating to hyperspectral data
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Evolutionary Biology (AREA)
- Algebra (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a remote sensing extraction method, a device and equipment for rice planting information and multiple cropping indexes, wherein the method comprises the following steps: determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area; determining the number of crop planting stubbles according to the crop phenological curve, the median point and a target preset threshold; and determining a multiple cropping index according to the crop planting stubble number to obtain planting information of the planting area, wherein the planting information comprises the crop planting stubble number and the multiple cropping index. According to the method, the crop phenological curve and the corresponding median point of the crop phenological curve are determined by obtaining the remote sensing image of the planting area, the crop planting stubble number is determined according to the crop phenological curve, the median point and the target preset threshold, and finally the multiple cropping index is determined according to the planting stubble number, so that the crop planting information containing the crop planting stubble number and the multiple cropping index is obtained, and the farmland planting information and the multiple cropping index are accurately obtained.
Description
Technical Field
The invention relates to the technical field of remote sensing, in particular to a method, a device and equipment for remotely sensing and extracting rice planting information and multiple cropping indexes.
Background
The rice is a main grain crop in China, and the rice planting information comprises rice space-time distribution, multiple cropping index and other information. The multiple cropping index is the average number of times of planting crops on the same cultivated land area in a certain period, the value is equal to the ratio of the total seeding area of the crops to the cultivated land area in the year, and the multiple cropping index is an index reflecting the utilization degree of the cultivated land. Obtaining the multiple cropping index and the distribution information of the farmland is very important for the aspects of crop growth vigor, yield estimation, farmland management and the like. Therefore, the accurate space-time distribution of the farmland multiple cropping index is very important for crop yield assessment, scientific management and scientific allocation of water resources.
At present, the method for obtaining the rice farmland planting information of space-time distribution and the multiple cropping index information thereof is mainly manual statistics, and the method has the problems of being not objective enough and being difficult to obtain the space-time dynamic multiple cropping index distribution information.
Disclosure of Invention
The invention provides a method, a device and equipment for remotely sensing and extracting rice planting information and a multiple cropping index, which are used for solving the technical problem that farmland planting information and multiple cropping index obtained by the existing method are not objective and accurate enough.
The invention provides a remote sensing extraction method of rice planting information and multiple cropping index, comprising the following steps:
determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;
determining the number of crop planting stubbles according to the crop phenological curve, the median point and a target preset threshold;
and determining a multiple cropping index according to the crop planting stubble number to obtain planting information of the planting area, wherein the planting information comprises the crop planting stubble number and the multiple cropping index.
According to the rice planting information and multiple cropping index remote sensing extraction method provided by the invention, the step of determining the crop phenological curve and the median point corresponding to the crop phenological curve according to the remote sensing image of the planting area comprises the following steps:
obtaining remote sensing images of an area to be identified, and determining a normalized vegetation index corresponding to each remote sensing image;
calculating to obtain a crop identification index according to each remote sensing image and the normalized vegetation index corresponding to each remote sensing image;
and determining the area to be identified as a planting area under the condition that the crop identification index is greater than or equal to a first preset threshold value.
According to the rice planting information and multiple cropping index remote sensing extraction method provided by the invention, the step of determining the crop phenological curve and the median point corresponding to the crop phenological curve according to the remote sensing image of the planting area comprises the following steps:
determining a normalized water body index and a normalized vegetation index corresponding to a planting area according to a remote sensing image of the planting area;
and determining a crop phenological curve and a median point corresponding to the crop phenological curve according to the normalized water body index, the normalized vegetation index and the time sequence.
According to the rice planting information and multiple cropping index remote sensing extraction method provided by the invention, the step of determining the crop planting stubble number according to the crop phenological curve, the median point and the target preset threshold comprises the following steps:
determining a plant climate curve, a mature climate curve and a germination climate curve in the crop climate curve;
and determining the number of crop planting stubbles according to the median point corresponding to the crop phenological curve, the mature phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index.
According to the rice planting information and multiple cropping index remote sensing extraction method provided by the invention, the step of determining the number of crop planting stubbles according to the median point corresponding to the crop phenological curve, the mature phenological curve, the sprouting phenological curve, the target preset threshold and the historical vegetation index comprises the following steps:
determining a first water body index and a first vegetation index corresponding to the phyto-climatic curve, a second vegetation index corresponding to the mature phyto-climatic curve, and a second water body index and a third vegetation index corresponding to the germina-climatic curve;
and determining the crop planting stubble number according to the first water body index, the first vegetation index, the second water body index, the third vegetation index, the target preset threshold and the historical vegetation index.
According to the rice planting information and multiple cropping index remote sensing extraction method provided by the invention, the step of determining the multiple cropping index according to the crop planting stubble number comprises the following steps:
acquiring the total crop planting stubbles corresponding to a preset time period;
and determining a multiple cropping index according to the preset time period and the total crop planting number.
The invention also provides a rice planting information and multiple cropping index remote sensing extraction device, which comprises:
the crop phenological curve determining module is used for determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;
the crop planting stubble number determining module is used for determining the crop planting stubble number according to the crop phenological curve, the median point and a target preset threshold;
and the planting information acquisition module is used for determining a multiple planting index according to the crop planting stubble number to obtain planting information of the planting area, wherein the planting information comprises the crop planting stubble number and the multiple planting index.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the remote sensing extraction method of the rice planting information and the multiple cropping index.
The invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for remote sensing extraction of rice planting information and multiple cropping index as described in any one of the above.
The invention also provides a computer program product, which comprises a computer program, wherein when the computer program is executed by a processor, the remote sensing extraction method of the rice planting information and the multiple cropping index is realized.
According to the rice planting information and multiple cropping index remote sensing extraction method, device and equipment, the crop phenological curve and the corresponding median point are determined by obtaining the remote sensing image of the planting area, the crop planting stubble number is determined according to the crop phenological curve, the median point and the target preset threshold, and the multiple cropping index is determined according to the planting stubble number, so that the crop planting information containing the crop planting stubble number and the multiple cropping index is obtained, and the farmland planting information and the multiple cropping index are accurately obtained.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a remote sensing extraction method for rice planting information and multiple cropping index provided by the present invention;
FIG. 2 is a second schematic flow chart of the remote sensing method for extracting rice planting information and multiple cropping index provided by the present invention;
FIG. 3 is a schematic structural diagram of a remote sensing extraction device for rice planting information and multiple cropping index provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The rice planting information and multiple cropping index remote sensing extraction method of the invention is described below with reference to fig. 1-2.
Referring to fig. 1, the present invention provides a remote sensing extraction method for rice planting information and multiple cropping index, comprising:
specifically, a multi-scene remote sensing image of a planting area is obtained, a two-dimensional rectangular coordinate system of a normalized vegetation index and time is established, wherein the normalized vegetation index is a vertical axis, and the time is a horizontal axis, so that the relationship between the normalized vegetation index and the time of different crop growth periods based on a time sequence is obtained, and a crop phenological curve of the normalized vegetation index of the time sequence is obtained. The remote sensing data with high time resolution is applied to obtain a crop phenological curve of a time sequence, and initial values, maximum values and median values of the curves of the time sequences of different crop types are determined, namely, median points corresponding to the crop phenological curve in the embodiment are determined.
200, determining the number of crop planting stubbles according to the crop phenological curve, the median point and a target preset threshold;
specifically, the initial value of the crop climatic curve is NDWI-NDVI, wherein NDWI (Normalized Difference Water Index) is the Normalized Water body Index, and the initial value of the crop climatic curve is obtained by calculation according to the formula (1), wherein R is g The reflectance of the green band.
Let NDVI be the median point of the phenological curve of the crop p10 、NDVI p11 、NDVI p20 And NDVI p21 In the planting period of the crop phenology, if the condition is 1, the normalized water body index of the initial value of the planting period is greater than or equal to a 1 (ii) a The normalized vegetation index of the initial value of the planting period is less than or equal to a 2 (ii) a And satisfies the following relationship:
t p11 and t p10 Maximum of NDVI in between | NDVI max1 -NDVI max2 |≤a 4 Wherein a is 1 ～a 4 To preset a threshold value, NDVI max1 The highest NDVI value, NDVI, of the first crop max2 NDVI is the highest value of NDVI of the crop according to the statistics of the past years max NDVI, the maximum value of the curve of the crop's phenological planting period mix Is the minimum value of the curve of the crop phenological planting period, and t10 and t11 are respectively t p1 Time points of remote sensing images obtained before and after the point (the midpoint of the first crop planting period); t20 and t21 are each t p11 Time points of remote sensing images obtained before and after the point (the middle point of the mature period of the first crop). The number of crop planting stubbles meeting the above conditions is 1.
And 300, determining a multiple cropping index according to the crop planting stubble number to obtain planting information of the planting area, wherein the planting information comprises the crop planting stubble number and the multiple cropping index.
Specifically, after the crop planting number is obtained, a multiple cropping index can be calculated according to a formula (2), wherein FI is the multiple cropping index, k ij For the planting condition of the jth crop in the ith year, if the jth crop in the ith year is planted, k is ij The value is 1, otherwise, the value is 0, n is the statistical number of years, and m is the number of stubbles planted by the crops. The number of stubbles planted in crops and the multiple cropping index can be obtained after the multiple cropping index is determinedPlanting information of the planting area.
In the embodiment, the crop phenological curve and the corresponding median point are determined by obtaining the remote sensing image of the planting area, the crop planting stubble number is determined according to the crop phenological curve, the median point and the target preset threshold, and finally the multiple cropping index is determined according to the planting stubble number to obtain the crop planting information containing the crop planting stubble number and the multiple cropping index, so that the farmland planting information and the multiple cropping index are accurately obtained.
Referring to fig. 2, in an embodiment, the method for remotely sensing and extracting rice planting information and multiple cropping indexes provided in the embodiment of the present application may further include:
and step 30, determining the area to be identified as a planting area under the condition that the crop identification index is greater than or equal to a first preset threshold value.
Specifically, a multi-view remote sensing image of the to-be-identified area is obtained, and then an NDVI (Normalized Difference Vegetation Index) value of the to-be-identified area, that is, a Normalized Vegetation Index in this embodiment, is calculated according to the multi-view remote sensing image. Then, a CRI (Color Rendering Index) value, that is, the crop identification Index in this embodiment, is calculated according to each remote sensing image and the normalized vegetation Index corresponding to each remote sensing image. Calculating to obtain an NDVI value according to a formula (3); and calculating to obtain the crop identification index according to the formula (4). Wherein R is nir Is the reflectivity of the near infrared band, R n Reflectivity in the red band, NDVI i The NDVI value of the ith scene data covering the same area, i is the ith scene data of the remote sensing image participating in calculation, n 1 For remote sensingThe number of scenes in the image is determined,
NDVI means of time series.
When the CRI value corresponding to the area to be identified is larger than or equal to a 4 (i.e., the first preset threshold in this embodiment), it is determined that the area to be identified is the planting area.
The present embodiment determines a planting area by normalizing the vegetation index and the crop identification index.
In an embodiment, the remote sensing extraction method for rice planting information and multiple cropping index provided in the embodiment of the present application may further include:
step 110, determining a normalized water body index and a normalized vegetation index corresponding to a planting area according to a remote sensing image of the planting area;
and 120, determining a crop phenological curve and a median point corresponding to the crop phenological curve according to the normalized water body index, the normalized vegetation index and the time sequence.
Specifically, multi-scene remote sensing images of a planting area are obtained, and a crop phenology curve of the time series of the normalized vegetation index is determined. The method comprises the steps of obtaining a time-series crop phenology curve by using remote sensing data with high time resolution, and determining an initial value (NDWI-NDVI), a maximum value and a median of the time-series curves of different crop types, namely a median point corresponding to the crop phenology curve in the embodiment, wherein NDWI is a normalized water body index in the embodiment.
In this embodiment, the crop phenology curve is determined by normalizing the water body index, the normalized vegetation index, and the time series.
In an embodiment, the remote sensing extraction method for rice planting information and multiple cropping index provided by the embodiment of the present application may further include:
step 210, determining a plant phenological curve, a mature phenological curve and a germination phenological curve in the crop phenological curve;
and step 220, determining the crop planting stubble number according to the median point corresponding to the crop phenological curve, the mature phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index.
Specifically, the crop phenological curve comprises a planting period phenological curve, a mature period phenological curve and a germination period phenological curve, an initial value of the crop phenological curve is obtained by calculation according to a formula (1), and a median point of the crop phenological curve is NDVI p10 、NDVI p11 、NDVI p20 And NDVI p21 In the planting period in the crop climate, on the basis of the above example condition 1, if condition 2,
t p21 and t p20 Maximum of NDVI | NDVI between max3 -NDVI max4 |≤a 2 Wherein a is 1 ～a 5 To preset threshold, NDVI max3 The highest NDVI value of the first crop, t30 and t31 being t p20 Time points of the remote sensing images obtained before and after the point (the middle point of the second crop planting period); t40 and t41 are each t p21 Time points of the remote sensing images obtained before and after the point (the middle point of the mature period of the second crop). The number of crop planting stubbles meeting the above conditions is 2.
In the embodiment, the crop planting stubble number is determined through the crop phenological curve, the preset threshold and the historical vegetation index.
In an embodiment, the remote sensing extraction method for rice planting information and multiple cropping index provided by the embodiment of the present application may further include:
step 221, determining a first water body index and a first vegetation index corresponding to the phyto-climatic curve, a second vegetation index corresponding to the mature phyto-climatic curve, and a second water body index and a third vegetation index corresponding to the germina-climatic curve;
step 222, determining the number of crop planting stubbles according to the first water body index, the first vegetation index, the second water body index, the third vegetation index, the target preset threshold and the historical vegetation index.
In particular, according to the phenological curve during germination, if NDVI is present e -NDVI c ≥a 7 ，NDWI c -NDWI e ≥a 8 In the above formula, NDWI e 、NDVI e 、NDWI c And NDVI c The NDWI index and the NDVI index before germination of the second crop, and the NDWI water body index and the NDVI value at the initial stage of planting the first crop, respectively, satisfy the condition 2 in the above embodiment, and then determine that the number of planted crops is 2.
The number of crop planting stubbles is determined according to the water body index and the vegetation index.
In an embodiment, the remote sensing extraction method for rice planting information and multiple cropping index provided by the embodiment of the present application may further include:
310, acquiring the total crop planting stubbles corresponding to a preset time period;
and 320, determining a multiple cropping index according to the preset time period and the total crop planting number.
Specifically, after the crop planting number is obtained, a multiple cropping index can be calculated according to a formula (2), wherein FI is the multiple cropping index, and k is ij For the planting condition of the jth crop in the ith year, if the jth crop in the ith year is planted, k is ij The value is 1, otherwise, 0, n is the counted number of years (i.e., the preset time period in this embodiment), and m is the number of stubbles planted by the crop (i.e., the total number of stubbles planted by the crop in this embodiment). After the multiple cropping index is determined, the planting area containing the crop planting stubble number and the multiple cropping index can be obtainedAnd (5) planting information.
In this embodiment, the multiple cropping index is determined according to the crop cropping number, and the cropping information of the cropping area containing the crop cropping number and the multiple cropping index is obtained.
The rice planting information and multiple cropping index remote sensing extraction device provided by the invention is described below, and the rice planting information and multiple cropping index remote sensing extraction device described below and the rice planting information and multiple cropping index remote sensing extraction method described above can be referred to correspondingly.
Referring to fig. 3, the present invention further provides a rice planting information and multiple cropping index remote sensing extraction device, including:
a crop phenological curve determining module 301, configured to determine a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;
a crop planting stubble number determining module 302, configured to determine a crop planting stubble number according to the crop phenological curve, the median point, and a target preset threshold;
a planting information obtaining module 303, configured to determine a multiple cropping index according to the crop planting stubble number, and obtain planting information of the planting area, where the planting information includes the crop planting stubble number and the multiple cropping index.
Optionally, the rice planting information and multiple cropping index remote sensing extraction device further comprises:
the normalized vegetation index determining module is used for acquiring remote sensing images of an area to be identified and determining a normalized vegetation index corresponding to each remote sensing image;
the crop identification index calculation module is used for calculating to obtain a crop identification index according to each remote sensing image and the normalized vegetation index corresponding to each remote sensing image;
and the planting area determining module is used for determining the area to be identified as a planting area under the condition that the crop identification index is greater than or equal to a first preset threshold value.
Optionally, the crop phenology curve determination module includes:
the index determining unit is used for determining a normalized water body index and a normalized vegetation index corresponding to a planting area according to the remote sensing image of the planting area;
and the phenological curve median point determining unit is used for determining the crop phenological curve and the median point corresponding to the crop phenological curve according to the normalized water body index, the normalized vegetation index and the time sequence.
Optionally, the crop planting stubble number determining module includes:
the phenological curve determining unit is used for determining a plant phenological curve, a mature phenological curve and a germination phenological curve in the crop phenological curve;
and the crop planting stubble number determining unit is used for determining the crop planting stubble number according to the median point corresponding to the crop phenological curve, the mature phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index.
Optionally, the crop planting stubble number determining unit includes:
the first determining unit is used for determining a first water body index and a first vegetation index corresponding to the vegetation-climate curve, a second vegetation index corresponding to the maturity-climate curve, and a second water body index and a third vegetation index corresponding to the germination-climate curve;
and the second determining unit is used for determining the crop planting stubble number according to the first water body index, the first vegetation index, the second water body index, the third vegetation index, the target preset threshold and the historical vegetation index.
Optionally, the planting information obtaining module includes:
the crop planting total stubble number acquisition unit is used for acquiring the crop planting total stubble number corresponding to a preset time period;
and the multiple cropping index determining unit is used for determining the multiple cropping index according to the preset time period and the total crop planting stubbles.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a communication Interface 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 can call the logic instructions in the memory 430 to execute the rice planting information and the multiple cropping index remote sensing extraction method.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can execute the rice planting information and the multiple cropping index remote sensing extraction method provided by the above methods.
In still another aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for remotely sensing and extracting rice planting information and multiple cropping index provided by the above methods.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A remote sensing extraction method for rice planting information and multiple cropping indexes is characterized by comprising the following steps:
determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;
determining the crop planting stubble number according to the crop phenological curve, the median point and a target preset threshold;
and determining a multiple cropping index according to the crop planting stubble number to obtain planting information of the planting area, wherein the planting information comprises the crop planting stubble number and the multiple cropping index.
2. The remote sensing extraction method of rice planting information and multiple cropping index according to claim 1, wherein the step of determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area comprises:
obtaining remote sensing images of an area to be identified, and determining a normalized vegetation index corresponding to each remote sensing image;
calculating to obtain a crop identification index according to each remote sensing image and the normalized vegetation index corresponding to each remote sensing image;
and determining the area to be identified as a planting area under the condition that the crop identification index is greater than or equal to a first preset threshold value.
3. The remote sensing extraction method of rice planting information and multiple cropping index according to claim 1, wherein the step of determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area comprises:
determining a normalized water body index and a normalized vegetation index corresponding to a planting area according to a remote sensing image of the planting area;
and determining a crop phenology curve and a median point corresponding to the crop phenology curve according to the normalized water body index, the normalized vegetation index and the time sequence.
4. The remote sensing extraction method for the rice planting information and the multiple cropping index according to claim 1, wherein the step of determining the number of crop planting stubbles according to the crop phenological curve, the median point and a target preset threshold comprises the following steps:
determining a plant climate curve, a mature climate curve and a germination climate curve in the crop climate curve;
and determining the number of crop planting stubbles according to the median point corresponding to the crop phenological curve, the mature phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index.
5. The remote sensing extraction method for the rice planting information and the multiple cropping index according to claim 4, wherein the step of determining the number of crop planting stubbles according to the median point corresponding to the crop phenological curve, the mature phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index comprises:
determining a first water body index and a first vegetation index corresponding to the vegetation-climate curve, a second vegetation index corresponding to the maturity-climate curve, and a second water body index and a third vegetation index corresponding to the germination-climate curve;
and determining the crop planting stubble number according to the first water body index, the first vegetation index, the second water body index, the third vegetation index, the target preset threshold and the historical vegetation index.
6. The remote sensing extraction method for the rice planting information and the multiple cropping index according to claim 1, wherein the step of determining the multiple cropping index according to the crop planting stubble number comprises the following steps:
acquiring the total crop planting stubbles corresponding to a preset time period;
and determining a multiple cropping index according to the preset time period and the total crop planting number.
7. The utility model provides a rice planting information and multiple cropping index remote sensing extraction element which characterized in that includes:
the crop phenological curve determining module is used for determining a crop phenological curve and a median point corresponding to the crop phenological curve according to the remote sensing image of the planting area;
the crop planting stubble number determining module is used for determining the crop planting stubble number according to the crop phenological curve, the median point and a target preset threshold;
and the planting information acquisition module is used for determining a multiple planting index according to the crop planting stubble number to obtain the planting information of the planting area, wherein the planting information comprises the crop planting stubble number and the multiple planting index.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor executes the program to implement the rice planting information and multiple cropping index remote sensing extraction method according to any one of claims 1 to 6.
9. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for remotely sensing and extracting rice planting information and multiple cropping index according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method for remotely sensing and extracting rice planting information and multiple cropping index according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211111990.7A CN115527111A (en) | 2022-09-13 | 2022-09-13 | Remote sensing extraction method, device and equipment for rice planting information and multiple cropping index |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211111990.7A CN115527111A (en) | 2022-09-13 | 2022-09-13 | Remote sensing extraction method, device and equipment for rice planting information and multiple cropping index |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115527111A true CN115527111A (en) | 2022-12-27 |
Family
ID=84697327
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211111990.7A Pending CN115527111A (en) | 2022-09-13 | 2022-09-13 | Remote sensing extraction method, device and equipment for rice planting information and multiple cropping index |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115527111A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116152673A (en) * | 2023-04-21 | 2023-05-23 | 杭州稻道农业科技有限公司 | Method and device for identifying ratoons by utilizing multi-time-phase high-resolution satellite images |
-
2022
- 2022-09-13 CN CN202211111990.7A patent/CN115527111A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116152673A (en) * | 2023-04-21 | 2023-05-23 | 杭州稻道农业科技有限公司 | Method and device for identifying ratoons by utilizing multi-time-phase high-resolution satellite images |
| CN116152673B (en) * | 2023-04-21 | 2023-09-29 | 杭州稻道农业科技有限公司 | Method and device for identifying ratoons by utilizing multi-time-phase high-resolution satellite images |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109446958B (en) | Method, device and system for determining pesticide application effect | |
| CN109409275B (en) | Target object identification method and device, and drug delivery information determination method | |
| CN110458032B (en) | Whole-process litchi growth condition monitoring method and system, cloud server and storage medium | |
| CN109197278B (en) | Method and device for determining operation strategy and method for determining drug spraying strategy | |
| CN107480706A (en) | A kind of seed production corn field remote sensing recognition method and device | |
| CN112418050B (en) | Remote sensing identification method and device for land withdrawal information | |
| CN110796001A (en) | Satellite image film-covering farmland identification and extraction method and system | |
| CN108345992B (en) | Multiple cropping index extraction method and device | |
| CN106971167A (en) | Crop growth analysis method and its analysis system based on unmanned aerial vehicle platform | |
| CN112001809A (en) | Method for acquiring farmland returning information of agriculture and forestry area | |
| CN115527111A (en) | Remote sensing extraction method, device and equipment for rice planting information and multiple cropping index | |
| CN114419367A (en) | High-precision crop drawing method and system | |
| CN114782838A (en) | Rice identification method and device, electronic equipment and storage medium | |
| CN111310639B (en) | Evergreen artificial forest remote sensing identification method and evergreen artificial forest growth remote sensing monitoring method | |
| CN113609910A (en) | Winter wheat growth early-stage spatial distribution monitoring method and device based on remote sensing image | |
| CN113984212A (en) | Agricultural irrigated area extraction method and system | |
| CN112232230B (en) | Remote sensing identification method and device for land withdrawal information | |
| CN111610159B (en) | Earth surface temperature downscaling estimation method and vegetation water stress monitoring method | |
| CN115526927A (en) | Rice planting method integrating phenological data and remote sensing big data and area estimation method thereof | |
| CN114782816B (en) | Remote sensing extraction method for crop multiple cropping index | |
| CN110008881B (en) | Method and device for identifying cow behaviors of multiple moving targets | |
| CN115861827A (en) | Crop water and fertilizer stress decision method and device and mobile phone terminal | |
| CN110246214B (en) | Crop plant phenotype analyzing method and device | |
| CN109712110B (en) | Crop real-time water consumption monitoring method and device based on machine vision | |
| CN115936917B (en) | Yield estimation method and device for whole crop, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |