IES87493Y1 - Method for Acquiring Spatial Distribution Map of Farmland Soil Organic Carbon - Google Patents
Method for Acquiring Spatial Distribution Map of Farmland Soil Organic CarbonInfo
- Publication number
- IES87493Y1 IES87493Y1 IE20230060U IE20230060U IES87493Y1 IE S87493 Y1 IES87493 Y1 IE S87493Y1 IE 20230060 U IE20230060 U IE 20230060U IE 20230060 U IE20230060 U IE 20230060U IE S87493 Y1 IES87493 Y1 IE S87493Y1
- Authority
- IE
- Ireland
- Prior art keywords
- organic carbon
- spatial distribution
- soil organic
- distribution map
- farmland
- Prior art date
Links
- 239000002689 soil Substances 0.000 title abstract 8
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title abstract 6
- 229910052799 carbon Inorganic materials 0.000 title abstract 6
- 238000000034 method Methods 0.000 title abstract 5
- 238000005070 sampling Methods 0.000 abstract 2
- 238000013441 quality evaluation Methods 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
- G01N33/245—Earth materials for agricultural purposes
-
- 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
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
- G06V10/765—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects using rules for classification or partitioning the feature space
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Data Mining & Analysis (AREA)
- Pathology (AREA)
- Computational Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Medicinal Chemistry (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Immunology (AREA)
- Remote Sensing (AREA)
- Multimedia (AREA)
- Geology (AREA)
- Mathematical Physics (AREA)
- Environmental & Geological Engineering (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Software Systems (AREA)
- Food Science & Technology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The present invention discloses a method for acquiring a spatial distribution map of farmland soil organic carbon, and belongs to the technical field of soil quality evaluation. The prediction precision and the fitting goodness are greatly improved, and a feasible method is provided for quickly and accurately obtaining a spatial distribution map of soil organic carbon in large-scale farmland and realizing precision agriculture. The method comprises collecting soil samples in a research area by using a spatial random sampling method, and recording cropping systems of sampling points and measuring soil organic carbon contents thereof; acquiring a spatial distribution map of farmland cropping systems by using time series remote sensing images; and summarizing results of each stratum to obtain a spatial distribution map of soil organic carbon. The prediction precision and the fitting goodness of the model are greatly improved, and the present invention achieves low- cost, rapid and accurate prediction of the spatial distribution of the soil organic carbon in large-scale farmland.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211234454.6A CN115561432A (en) | 2022-10-10 | 2022-10-10 | Farmland soil organic carbon spatial distribution map obtaining method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| IES87493Y1 true IES87493Y1 (en) | 2024-04-10 |
| IE20230060U1 IE20230060U1 (en) | 2024-04-10 |
Family
ID=84745454
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IE20230060U IE20230060U1 (en) | 2022-10-10 | 2023-03-20 | Method for Acquiring Spatial Distribution Map of Farmland Soil Organic Carbon |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN115561432A (en) |
| IE (1) | IE20230060U1 (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117132883B (en) * | 2023-05-08 | 2024-03-19 | 江苏商贸职业学院 | GIS-based intelligent agricultural disaster discrimination method and system |
-
2022
- 2022-10-10 CN CN202211234454.6A patent/CN115561432A/en active Pending
-
2023
- 2023-03-20 IE IE20230060U patent/IE20230060U1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| CN115561432A (en) | 2023-01-03 |
| IE20230060U1 (en) | 2024-04-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Michael Mertens et al. | Spatial heterogeneity of soil properties and its mapping with apparent electrical conductivity | |
| CN104656098A (en) | Method for inverting remote sensing forest biomass | |
| CN106501816B (en) | A kind of satellite remote-sensing monitoring method of jujube tree canopy nitrogen content | |
| IES87493Y1 (en) | Method for Acquiring Spatial Distribution Map of Farmland Soil Organic Carbon | |
| CN104331639A (en) | Indirect soil moisture content obtaining and rapid evaluation method | |
| Djuraev et al. | Evaluation of soil salinity level through NDVI in Syrdarya province, Uzbekistan | |
| CN106501255B (en) | A kind of satellite remote-sensing monitoring method of jujube tree canopy Chlorophyll content | |
| CN114169161A (en) | Method and system for estimating space-time variation and carbon sequestration potential of soil organic carbon | |
| CN116429988A (en) | Dynamic remote sensing monitoring device for ocean plant carbon sink | |
| Gao et al. | Performance improvement of long-range scanning Mie lidar for the retrieval of atmospheric extinction | |
| CN106504240B (en) | A kind of satellite remote-sensing monitoring method of jujube tree canopy Chlorophyll-a Content | |
| Grottoli et al. | High resolution coral Cd measurements using LA-ICP-MS and ID-ICP-MS: Calibration and interpretation | |
| CN109917387A (en) | A kind of method for building up of the forest biomass model based on full-polarization SAR data | |
| CN113567358A (en) | Cultivated land pollution monitoring and early warning system based on remote sensing and Internet of things | |
| Dige | Precision agriculture in india: Opportunities and challenges | |
| CN113762383B (en) | Vegetation index fusion method based on multi-source data | |
| CN112270293B (en) | Daily paddy field CH 4 Remote sensing estimation method of flux | |
| Serrano et al. | Spatial variability of soil phosphorus, potassium and pH: evaluation of the potential for improving vineyard fertilizer management | |
| Yegül et al. | Determination of some soil parameters with electromagnetic induction sensor | |
| De Lara et al. | Characterizing spatial variability in soil water content for precision irrigation management | |
| Zhao et al. | Regional application of the site-specific biochemical process-based crop model DNDC for rice in NE-China | |
| Ren et al. | Regional yield prediction of winter wheat based on retrieval of Leaf area index by remote sensing technology | |
| Borůvka et al. | Combining and harmonizing soil data from different sources: Problems and approaches | |
| Guo et al. | The assessment of soil quality on the arable land in Yellow River delta combined with remote sensing technology | |
| Liu et al. | Study of remote sensing based parameter uncertainty in production efficiency models |