Development of a Cloud-Based Web Geospatial Information System for Agricultural Monitoring Using Sentinel-2 Data
01 Sep 2018-
TL;DR: This paper presents a system architecture of a cloud-based web geographic information system (GIS) used to develop a web mapping application for agricultural monitoring that incorporates a dynamic web map tile service (WMTS) with a geospatial processing service (GPS) for distributed calculations.
Abstract: This paper presents a system architecture of a cloud-based web geographic information system (GIS) used to develop a web mapping application for agricultural monitoring. It incorporates a dynamic web map tile service (WMTS) with a geospatial processing service (GPS) for distributed calculations. The system implementation results in a web GIS deployed on Amazon Web Services (AWS) and exposed to the client as a set of RESTful APIs. The functionality provided by the system is used in the application to visualize crop type maps and calculate a core set of descriptive statistics, that summarize the values of vegetation indices for a user defined area of interest over a time period, using Sentinel-2 data.
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TL;DR: The trimming-based method was found to be key for using spatially coarse baseline land cover information and, thus, avoiding costly field campaigns for prior information retrieval and the accuracy and timeliness of the proposed approach shows that it has substantial potential for operational agriculture monitoring programs.
Abstract: Cropland mapping relies heavily on field data for algorithm calibration, making it, in many cases, applicable only at the field campaign scale. While the recently launched Sentinel-2 satellite will be able to deliver time series over large regions, it will not really be compatible with the current mapping approach or the available in situ data. This research introduces a generic methodology for mapping annual cropland along the season at high spatial resolution with the use of globally available baseline land cover and no need for field data. The methodology is based on cropland-specific temporal features, which are able to cope with the diversity of agricultural systems, prior information from which mislabeled pixels have been removed and a cost-effective classifier. Thanks to the JECAM network, eight sites across the world were selected for global cropland mapping benchmarking. Accurate cropland maps were produced at the end of the season, showing an overall accuracy of more than 85%. Early cropland maps were also obtained at three-month intervals after the beginning of the growing season, and these showed reasonable accuracy at the three-month stage (>70% overall accuracy) and progressive improvement along the season. The trimming-based method was found to be key for using spatially coarse baseline land cover information and, thus, avoiding costly field campaigns for prior information retrieval. The accuracy and timeliness of the proposed approach shows that it has substantial potential for operational agriculture monitoring programs.
128 citations
TL;DR: A comprehensive overview of CropWatch as a remote sensing-based system, describing its structure, components, and monitoring approaches is presented and a comparison with other global crop-monitoring systems is discussed.
Abstract: Monitoring the production of main agricultural crops is important to predict and prepare for disruptions in food supply and fluctuations in global crop market prices. China's global crop-monitoring system (CropWatch) uses remote sensing data combined with selected field data to determine key crop production indicators: crop acreage, yield and production, crop condition, cropping intensity, crop-planting proportion, total food availability, and the status and severity of droughts. Results are combined to analyze the balance between supply and demand for various food crops and if needed provide early warning about possible food shortages. CropWatch data processing is highly automated and the resulting products provide new kinds of inputs for food security assessments. This paper presents a comprehensive overview of CropWatch as a remote sensing-based system, describing its structure, components, and monitoring approaches. The paper also presents examples of monitoring results and discusses the strengths and...
119 citations
TL;DR: This paper describes a distributed system for agricultural monitoring in Ukraine at two levels, namely, at ministerial level and at agricultural enterprise level, constructed using open-source software that conforms to OGC standards for geospatial information management.
Abstract: This paper describes a distributed system for agricultural monitoring in Ukraine at two levels, namely, at ministerial level and at agricultural enterprise level. Crop monitoring is performed using data and products obtained by moderate and high-resolution remote sensing satellites. The system includes a geoportal with a Web interface and a desktop geographic information system (GIS) with additional functions of automatic data retrieval and business-logic analysis. The system is constructed using open-source software that conforms to OGC standards for geospatial information management.
44 citations
"Development of a Cloud-Based Web Ge..." refers background in this paper
...Several countries and organizations, including the United States, the European Commission, the Food and Agriculture Organization of the United Nations, China, Brazil, Canada, and India currently operate crop monitoring systems to monitor their domestic or regional and global crop production [4]....
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37 citations
31 Oct 2016
TL;DR: This paper presents a system architecture of a web GIS that is used to develop a web mapping app for real-time macroeconomic impact decision support tool and deploys ESRI's ArcGIS platform, Amazon Web Services, enterprise spatial database, C#, RESTful API, and JSON format.
Abstract: This paper presents a system architecture of a web GIS that is used to develop a web mapping app for real-time macroeconomic impact decision support tool. It incorporates web GIS on the cloud with an autonomous software system for real-time situational awareness (outage statue and economic loss) from power & electric utilities.Our web GIS is a system of systems, and we deployed ESRI's ArcGIS platform, Amazon Web Services (AWS), enterprise spatial database, C#, RESTful API, and JSON format. The system implementation results in a web GIS that contains a GIS server with a set of REST APIs of GIS web services (map service, geodata service, etc) on the cloud that can be used by web mapping apps, mobile GIS apps, or desktop programs to share, display, analyze, and update a geodatabase, which is embedded in cloud. To evaluate our approach, we developed a web map application and an operations dashboard that used the created GIS web services and APIs. Our web GIS is applicable for the "Internet of Things" domain, public safety, cloud communication, crisis response, web map application, location-based services, and real-time GIS.
2 citations