Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland
Soil moisture is an essential parameter to understand crop conditions throughout the growing season. Collecting soil moisture data by field observation is labor-intensive, especially when attempting to obtain Conterminous United States (CONUS) geographic coverage. In addition, using soil moisture fo...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222001042 |
| _version_ | 1817999338563960832 |
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| author | Chen Zhang Zhengwei Yang Haoteng Zhao Ziheng Sun Liping Di Rajat Bindlish Pang-Wei Liu Andreas Colliander Rick Mueller Wade Crow Rolf H. Reichle John Bolten Simon H. Yueh |
| author_facet | Chen Zhang Zhengwei Yang Haoteng Zhao Ziheng Sun Liping Di Rajat Bindlish Pang-Wei Liu Andreas Colliander Rick Mueller Wade Crow Rolf H. Reichle John Bolten Simon H. Yueh |
| author_sort | Chen Zhang |
| collection | DOAJ |
| description | Soil moisture is an essential parameter to understand crop conditions throughout the growing season. Collecting soil moisture data by field observation is labor-intensive, especially when attempting to obtain Conterminous United States (CONUS) geographic coverage. In addition, using soil moisture for assessing current and future crop conditions is best realized by combining soil moisture estimates with concurrent observations of crop conditions. However, until recently, this capability has not been available to the public. In this paper, we present an interoperable data service application system, the Crop Condition and Soil Moisture Analytics (Crop-CASMA) system, that facilitates the retrieval, analysis, visualization, and sharing of soil moisture data for the CONUS. This system delivers a variety of satellite remote sensing based data products that are derived from Soil Moisture Active Passive (SMAP) Level-4 data and SMAP Thermal Hydraulic disaggregation of Soil Moisture (THySM) data, as well as vegetation index data derived from Moderate Resolution Imaging Spectroradiometer (MODIS) observations. To make services interoperable and reusable, all data products are disseminated via Open Geospatial Consortium (OGC) Web Map Service (WMS) and Web Coverage Service (WCS) interface standards. Additionally, a suite of geoprocessing operations, such as geospatial statistics, time-series profile generation, PDF map production, and image composition, has been implemented in the OGC Web Processing Service (WPS) interface standard. The implementation shows the proposed web service system can significantly simplify the mapping and quantitative analysis of soil moisture and crop condition over U.S. cropland. In addition, it is interoperable with GIS software and has been successfully integrated with web-based applications. |
| first_indexed | 2024-04-14T03:07:18Z |
| format | Article |
| id | doaj.art-a8a028181ea64a25872b3b4cd99a2e59 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-14T03:07:18Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-a8a028181ea64a25872b3b4cd99a2e592022-12-22T02:15:42ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322022-08-01112102902Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. CroplandChen Zhang0Zhengwei Yang1Haoteng Zhao2Ziheng Sun3Liping Di4Rajat Bindlish5Pang-Wei Liu6Andreas Colliander7Rick Mueller8Wade Crow9Rolf H. Reichle10John Bolten11Simon H. Yueh12Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA; Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USAU.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC 20250, USA; Corresponding authors at: U.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC 20250, USA (Z. Yang). Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA (L. Di).Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA; Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USACenter for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USACenter for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA; Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA; Corresponding authors at: U.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC 20250, USA (Z. Yang). Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA (L. Di).Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USAGoddard Space Flight Center, NASA, Greenbelt, MD 20771, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USAU.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC 20250, USAU.S. Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USAGoddard Space Flight Center, NASA, Greenbelt, MD 20771, USAGoddard Space Flight Center, NASA, Greenbelt, MD 20771, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USASoil moisture is an essential parameter to understand crop conditions throughout the growing season. Collecting soil moisture data by field observation is labor-intensive, especially when attempting to obtain Conterminous United States (CONUS) geographic coverage. In addition, using soil moisture for assessing current and future crop conditions is best realized by combining soil moisture estimates with concurrent observations of crop conditions. However, until recently, this capability has not been available to the public. In this paper, we present an interoperable data service application system, the Crop Condition and Soil Moisture Analytics (Crop-CASMA) system, that facilitates the retrieval, analysis, visualization, and sharing of soil moisture data for the CONUS. This system delivers a variety of satellite remote sensing based data products that are derived from Soil Moisture Active Passive (SMAP) Level-4 data and SMAP Thermal Hydraulic disaggregation of Soil Moisture (THySM) data, as well as vegetation index data derived from Moderate Resolution Imaging Spectroradiometer (MODIS) observations. To make services interoperable and reusable, all data products are disseminated via Open Geospatial Consortium (OGC) Web Map Service (WMS) and Web Coverage Service (WCS) interface standards. Additionally, a suite of geoprocessing operations, such as geospatial statistics, time-series profile generation, PDF map production, and image composition, has been implemented in the OGC Web Processing Service (WPS) interface standard. The implementation shows the proposed web service system can significantly simplify the mapping and quantitative analysis of soil moisture and crop condition over U.S. cropland. In addition, it is interoperable with GIS software and has been successfully integrated with web-based applications.http://www.sciencedirect.com/science/article/pii/S1569843222001042SMAPSoil moistureInteroperabilityGeoprocessingOGC web serviceCrop-CASMA |
| spellingShingle | Chen Zhang Zhengwei Yang Haoteng Zhao Ziheng Sun Liping Di Rajat Bindlish Pang-Wei Liu Andreas Colliander Rick Mueller Wade Crow Rolf H. Reichle John Bolten Simon H. Yueh Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland International Journal of Applied Earth Observations and Geoinformation SMAP Soil moisture Interoperability Geoprocessing OGC web service Crop-CASMA |
| title | Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland |
| title_full | Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland |
| title_fullStr | Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland |
| title_full_unstemmed | Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland |
| title_short | Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland |
| title_sort | crop casma a web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over u s cropland |
| topic | SMAP Soil moisture Interoperability Geoprocessing OGC web service Crop-CASMA |
| url | http://www.sciencedirect.com/science/article/pii/S1569843222001042 |
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