CN113849670A - Batch rapid acquisition method of sentinel image data - Google Patents
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Abstract
The invention discloses a method for rapidly acquiring image data of sentinels in batches, which comprises the following steps of S100: acquiring metadata of image data through programming by taking the time of the required image, the range of the required image, the data type of the required image and the cloud amount of the required image as input conditions through an official interface sentinel API provided by a sentinel website; step S200: generating a geojson file G1 from the metadata, creating a text file T1, and starting downloading related image data; step S300: the use of the Aria2 open source download tool helps to simplify the download process; managing the downloading process by using a user pool and a process pool; step S400: reading the file name information of the geojson file G1, and comparing the file name information of the geojson file G1 with the file name information of a local file; and recording the comparison result in a text file T1; step S500: sequentially reading the text file T1 to judge the file downloading condition; step S600: and managing the downloading of the image data based on the obtained judgment result.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method for rapidly acquiring image data of sentinels in batches.
Background
When files are downloaded on an official website of a sentinel image, the files can be downloaded through a registered account and directly inquiring download data on the website, and the files can be downloaded in batch by programming and calling on an official API interface sentinelAPI; however, the above methods generally have the following disadvantages: firstly, the official website of the sentinel image only allows a single user to download at most two links, namely files, simultaneously, and has the limitation on the concurrence quantity; second, official APIs can enable downloading of up to 2000 links, but a single user can only download two files at the same time; third, official websites and APIs do not provide download acceleration functionality; fourth, the official website does not provide a function of downloading data according to the administrative division; fifth, official offline data cannot be downloaded directly, and at most 20 offline data can be downloaded and activated per user per day.
Disclosure of Invention
The invention aims to provide a method for rapidly acquiring image data of sentinels in batches, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a method for rapidly acquiring image data of sentinels in batches comprises the following steps:
step S100: acquiring metadata of image data through programming by taking the time of the required image, the range of the required image, the data type of the required image and the cloud amount of the required image as input conditions through an official interface sentinel API provided by a sentinel website;
step S200: generating a geojson file G1 from the metadata, creating a text file T1, and starting downloading related image data;
step S300: the use of the Aria2 open source download tool helps to simplify the download process; managing the downloading process by using a user pool and a process pool;
step S400: reading the file name information of the geojson file G1, and comparing the file name information of the geojson file G1 with the file name information of a local file; and recording the comparison result in a text file T1;
step S500: sequentially reading the text file T1 to judge the file downloading condition;
step S600: managing the downloading of the image data based on the judgment result obtained in the step S500;
the method solves the problem of batch downloading of data of official websites by self-establishing a text file T1 record table, managing the record table by self and calling a method of a third-party open source accelerated downloading tool, and realizes that the downloading quantity can be unlimited; the method solves the problem of limitation of the concurrent download quantity of the official website by establishing a user pool and a process pool.
Further, the programming in step S100 includes:
step S101: defining the time of the required image, namely converting the format of the required image into a set time format;
step S102: defining the range of the required image, namely converting the range into a corresponding coordinate string, wherein the coordinate string forms a closed polygon;
step S103: defining the data type of the required image according to the letter code corresponding to each satellite product type defined in the official website;
step S104: inputting the cloud amount of the required image, and converting the format of the cloud amount into a set cloud amount format;
the method comprises the steps that the vector file of the administrative division is converted into a coordinate string file and input into an API of an authority, and the problem of downloading according to the administrative division range is solved.
Further, step S102 includes:
step S111: converting the face file of the administrative division into a JSON file by using a conversion tool, namely Features To JSON, of ArcGIS or other GIS software, and then opening the JSON file by using a text editor;
step S112: and changing the corresponding coordinate string part in the json file into a specified format.
Further, the text file T1 is used as an input part of Aria2, and Aria2 is closely associated with a user pool and a process pool, and the downloading in the Aria2 is managed by the user pool and the process pool.
Further, the comparison in step S400 refers to comparing the suffix name of the file; skip when there is a file with the suffix.zip locally, but not a file with the suffix.aria 2; when a file with a suffix of.zip is locally present, and a file with a suffix of.aria 2 is also present, information recording is performed in the text file T1.
Further, step S500 includes:
step S501: when the number of file records of the text file T1 is 0, it indicates that there is no satellite image data satisfying the condition, or that the satellite image data satisfying the condition has been completely downloaded, and the downloading procedure is ended;
step S502: when the number of the file records of the text file T1 is not 0, inquiring the storage state of the record through an official API, and directly downloading if the file is displayed in an online state; if the file display is the off-line state, activating the on-line state through the API;
step S503: the timer is triggered, and simultaneously an off-line data activated record table is written in, and the file name, the download address and the activation time of the file are recorded; the timer checks the difference value between the activation time of the off-line data and the current time after every time threshold, and if the difference value is larger than the set time difference threshold, the data is downloaded; when the data downloading is successful, removing the corresponding record of the file from the record table activated by the offline data;
the method comprises the steps that data of an official website are divided into offline data and online data, the online data cannot be downloaded, the offline data can be downloaded only after being activated, if the data are manually operated, the offline data are required to be added into a shopping cart and then activated by clicking, the data can be downloaded only after waiting for about 4 hours, if the data are not downloaded within a certain time, the data are changed into an offline state, and the method is troublesome; this block is also managed by both the user pool and the process pool, solving the problem of the limitation of the amount of offline data.
Further, the offline state and the online state of the file refer to the state of the image file on the official server; when the file state is on-line, the file is stored in the network environment and the storage server with the network speed meeting the normal threshold value, and can be downloaded normally, and when the file state is off-line, the file is stored in the network environment and the storage server with the network speed lower than the normal threshold value, and cannot be downloaded.
Further, the offline state and the Online state of the file are determined by a program, where # product _ odata [ 'Online' ] ═ true is the Online state, and product _ odata [ 'Online' ] ═ false is the offline state;
the method is realized through a python scripting language, is fully-automatic in execution and strong in expandability, is suitable for rapidly downloading a large amount of sentinel satellite image data in a specified area at a specified time, is particularly suitable for the situations of large areas, large time span and large downloading amount, and is particularly suitable for the situations of continuous and uninterrupted downloading.
Further, step S600 is that when the state of the file is shown as offline, a download request is sent, the official server will temporarily copy the file from the network and storage server with the network speed lower than the normal threshold to the network environment and storage server with the network speed meeting the normal threshold, and at the same time, change the state of the file to online, and after the copying is finished, the official server will delete the file from the network environment and storage server with the network speed meeting the normal threshold, and change the state of the file to offline.
Further, the user pool and the process pool configure the number of the user pool according to the bandwidth and hardware resources of the website.
Compared with the prior art, the invention has the following beneficial effects: the method solves the problem of limitation of the concurrent downloading quantity of the official website by establishing the user pool and the process pool; the open source downloading tool is introduced, so that the function of accelerating downloading is realized; the method converts the vector file of the administrative division into the coordinate string file, inputs the coordinate string file into the API of the authority, and solves the problem of downloading according to the scope of the administrative division; by self-building a text file record table, managing the record table by self and calling a method of a third-party open source accelerated downloading tool, the problem of batch downloading of data of official websites is solved, and the downloading quantity can be theoretically unlimited; the functions of automatic activation, automatic waiting and automatic downloading of offline data are realized through the time management of the timer and the record management of the process pool; the method is realized through a python scripting language, is full-automatic in execution and strong in expandability, is suitable for rapidly downloading a large amount of sentinel satellite image data in specified time in a specified area, is particularly suitable for scenes with large area, large time span and large downloading amount, and is particularly suitable for scenes needing continuous and uninterrupted downloading.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a method for rapidly acquiring image data of sentinels in batches according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a method for rapidly acquiring image data of sentinels in batches comprises the following steps:
step S100: acquiring metadata of image data through programming by taking the time of the required image, the range of the required image, the data type of the required image and the cloud amount of the required image as input conditions through an official interface sentinel API provided by a sentinel website;
wherein the programming in step S100 includes:
step S101: defining the time of the required image, namely converting the format of the required image into a set time format; for example, 8 months 1 to 8 months 31 days in 2021, in the format of 20210101;
step S102: defining the range of the required image, namely converting the range into a corresponding coordinate string, wherein the coordinate string forms a closed polygon; the format is POLYGON, for example, the range of the required image is: ((116.356934.7452,116.453934.9004,116.790334.9355,117.822434.6551,118.517434.692994011464521,116.356934.7452)); the data in the brackets is the azimuth coordinate of each vertex of the polygon formed by the range of the required image;
wherein, step S102 includes:
step S111: converting the face file of the administrative division into a JSON file by using a conversion tool, namely Features To JSON, of ArcGIS or other GIS software, and then opening the JSON file by using a text editor;
step S112: changing the corresponding coordinate string part in the json file into a specified format;
step S103: defining the data type of the required image according to the letter code corresponding to each satellite product type defined in the official website; for example, S2MSI1C, S2MSI2A, S2MSI1C represent L1C-level multispectral data (MSI) of sentinel number 2 (S2), and S2MSI1C is an orthorectified and geometrically refined atmospheric apparent reflectance product, and no atmospheric correction is performed. S2MSI2A is that the L2A level data primarily contains Atmosphere-corrected atmospheric Bottom reflectance data (Bottom-of-atmospheric corrected reflectance); more sentinel product types can be selected according to the requirements;
step S104: inputting the cloud amount of the required image, and converting the format of the cloud amount into a set cloud amount format; the cloud amount format is: (0,10) indicating that the cloud amount of the satellite product to be downloaded is within 10%;
the specific calling procedure operation is:
query interface (query) to call official sentinel api, api. query (area ═ roi, date ═ start _ date, end _ date)
product type, cloudcovercentration, wherein roi is a character string of the coordinate conversion of the administrative region, start _ date, end _ date are required dates, product type is a satellite product type to be downloaded, and cloudcoverr is a cloud amount limit of the satellite product to be downloaded;
step S200: generating a geojson file G1 from the metadata, creating a text file T1, and starting downloading related image data;
step S300: the use of the Aria2 open source download tool helps to simplify the download process; managing the downloading process by using a user pool and a process pool; taking the text file T1 as an input part of Asia 2, and the Asia 2 is closely associated with a user pool and a process pool, and the downloading in the Asia 2 is managed through the user pool and the process pool;
the Asia 2 supports magnetic link, BT seed, http and other types of file downloading, compared with thunder and QQ whirlwind, the Asia 2 has excellent performance and lower resource occupation, the structure is very light, and other open source accelerated downloading modules can be used for replacing the Asia 2
The user pool and the process pool configure the number of the user pool according to the bandwidth and hardware resources of the website; if the network bandwidth is 100M (100Mbps is 12.5MB/S, and the maximum download speed is generally 12.5 MBM/S), if the fastest download speed of one accelerated process is 2M, 6 processes can be configured at most, and three different users are used for downloading;
the specific program calling mode is as follows:
aria2c x5 (several times faster) - -http-user-username-http-password-check-certificate-false (auto-verify username and password) -continuation-max-current-downloads 2 (maximum number of passes) -M T1 (input file);
step S400: reading the file name information of the geojson file G1, and comparing the file name information of the geojson file G1 with the file name information of a local file; and recording the comparison result in a text file T1; a geoJson file, which is a meta file of image data of the current query result set (a description file of information of the file itself, such as shooting time of satellite images, cloud cover, and the like), and a text record file for the accelerated downloading module;
wherein, the comparison refers to the comparison of suffix names of the files; skip when there is a file with the suffix.zip locally, but not a file with the suffix.aria 2; when a file with a suffix name of.zip is locally present, and a file with a suffix name of.aria 2 is simultaneously present, information recording is performed in the text file T1; the method uses an Asia 2 open source downloading tool, a file which is downloaded but not completely downloaded has two files, one is a file with the suffix name of a zip file, the other is a file with the suffix name of an Asia 2, and after complete downloading, the file with the suffix name of an Asia 2 does not exist;
step S500: sequentially reading the text file T1 to judge the file downloading condition;
wherein, step S500 includes:
step S501: when the number of file records of the text file T1 is 0, it indicates that there is no satellite image data satisfying the condition, or that the satellite image data satisfying the condition has been completely downloaded, and the downloading procedure is ended;
step S502: when the number of the file records of the text file T1 is not 0, inquiring the storage state of the record through an official API, and directly downloading if the file is displayed in an online state; if the file display is the off-line state, activating the on-line state through the API;
step S503: the timer is triggered, and simultaneously an off-line data activated record table is written in, and the file name, the download address and the activation time of the file are recorded; the timer checks the difference value between the activation time of the off-line data and the current time after every time threshold, and if the difference value is larger than the set time difference threshold, the data is downloaded; when the data downloading is successful, removing the corresponding record of the file from the record table activated by the offline data;
the offline state and the online state of the file refer to the state of an image file on an official server; when the file state is on-line, the file is stored in a network environment and a storage server with the network speed meeting a normal threshold value and can be normally downloaded, and when the file state is off-line, the file is stored in the network and the storage server with the network speed lower than the normal threshold value and cannot be downloaded; the offline state and the Online state of the file are obtained by program judgment, wherein # product _ odata [ 'Online' ] ═ true is the Online state, and product _ odata [ 'Online' ] ═ false is the offline state;
step S600: the downloading of the image data is managed based on the determination result obtained in step S600.
Step S600 is that when the state of the file is offline, a download request is sent, the official server will temporarily copy the file from the network and storage server with the network speed lower than the normal threshold to the network environment and storage server with the network speed meeting the normal threshold, and at the same time, change the state of the file to online, after the copy is completed, the official server will delete the file from the network environment and storage server with the network speed meeting the normal threshold, and change the state of the file to offline, which are all performed at the server, and the downloaded client needs to pay attention to the file change of the server and download in time.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A batch rapid acquisition method of sentinel image data is characterized by comprising the following steps:
step S100: acquiring metadata of image data through programming by taking the time of the required image, the range of the required image, the data type of the required image and the cloud amount of the required image as input conditions through an official interface sentinel API provided by a sentinel website;
step S200: generating a geojson file G1 from the metadata, creating a text file T1, and starting downloading the related image data;
step S300: the use of the Aria2 open source download tool helps to simplify the download process; managing the downloading process by using a user pool and a process pool;
step S400: reading the file name information of the geojson file G1, and comparing the file name information of the geojson file G1 with the file name information of a local file; recording the comparison result in the text file T1;
step S500: sequentially reading the text file T1 to judge the file downloading condition;
step S600: and managing the downloading of the image data based on the judgment result obtained in the step S500.
2. The batch rapid acquisition method of sentinel image data according to claim 1, characterized in that: the programming in step S100 includes:
step S101: defining the time of the required image, namely converting the format of the time into a set time format;
step S102: defining the range of the required image, namely converting the range of the required image into a corresponding coordinate string, wherein the coordinate string forms a closed polygon;
step S103: defining the data type of the required image according to the letter code corresponding to each satellite product type defined in the official website;
step S104: and inputting the cloud amount of the required image, and converting the format of the cloud amount into a set cloud amount format.
3. The batch rapid acquisition method of sentinel image data according to claim 1, characterized in that: the step S102 includes:
step S111: converting the face file of the administrative division into a JSON file by using a conversion tool, namely Features To JSON, of ArcGIS or other GIS software, and then opening the JSON file by using a text editor;
step S112: and changing the corresponding coordinate string part in the json file into a specified format.
4. The batch rapid acquisition method of sentinel image data according to claim 1, characterized in that: the text file T1 is used as an input part of the Aria2, and the Aria2 is closely associated with a user pool and a process pool through which downloads in the Aria2 are managed.
5. The batch rapid acquisition method of sentinel image data according to claim 1, characterized in that: the comparison in step S400 is to compare the suffix name of the file; skip when there is a file with the suffix.zip locally, but not a file with the suffix.aria 2; when a file with a suffix of.zip is locally present, while a file with a suffix of.aria 2 is present, information recording is performed in the text file T1.
6. The batch rapid acquisition method of sentinel image data according to claim 1, characterized in that: the step S500 includes:
step S501: when the number of file records of the text file T1 is 0, it indicates that there is no satellite image data satisfying the condition, or the satellite image data satisfying the condition has been completely downloaded, and the downloading procedure is ended;
step S502: when the number of the file records of the text file T1 is not 0, inquiring the storage state of the record through an official API (application program interface), and directly downloading the record if the file is displayed in an online state; if the file display is the off-line state, activating the on-line state through the API;
step S503: the timer is triggered, and simultaneously an off-line data activated record table is written in, and the file name, the download address and the activation time of the file are recorded; the timer checks the difference value between the activation time of the off-line data and the current time after every time threshold, and if the difference value is greater than the set time difference threshold, the data is downloaded; when the data download is successful, the corresponding record of the file is removed from the record table of the offline data activation.
7. The method for rapidly acquiring the image data of the sentinels in batches as claimed in claim 6, wherein the offline state and the online state of the file refer to the state of the image file on an official server; when the file state is on-line, the file is stored in the network environment and the storage server with the network speed meeting the normal threshold value, and can be downloaded normally, and when the file state is off-line, the file is stored in the network environment and the storage server with the network speed lower than the normal threshold value, and cannot be downloaded.
8. The method for rapidly acquiring the sentinel image data in batches according to claim 7, wherein the offline state and the Online state of the file are determined by a program, wherein # product _ odata [ 'Online' ] ═ true is the Online state, and product _ odata [ 'Online' ] ═ false is the offline state.
9. The method as claimed in claim 7, wherein the step S600 is to send a download request when the file status shows offline, the official server will temporarily copy the file from the network and storage servers with the network speed lower than the normal threshold to the network environment and storage servers with the network speed meeting the normal threshold, and at the same time, change the file status to online, and after the copy is finished, the official server will delete the file from the network environment and storage servers with the network speed meeting the normal threshold, and change the file status to offline.
10. The method for rapidly acquiring the batch of the sentinel image data according to claim 1, wherein the user pool and the progress pool are configured according to the bandwidth and hardware resources of a website.
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