Web service-based SMAP soil moisture data visualization, dissemination and analytics based on vegscape framwork

Timely, frequent, crop vegetation condition information, with complete geospatial coverage acquired throughout the growing season is critical for public and private sector decision making that concerns agricultural policy, production, food security, and food prices. The NASA Soil Moisture Active and Passive (SMAP) mission provides such a reliable data source for cropland soil moisture assessment. This paper presents a prototype of an interactive Web service based SMAP soil moisture visualization, dissemination and analytics system for US soil moisture monitoring based on the VegScape framework. This system automatically retrieves and preprocesses SMAP soil moisture data for US cropland soil moisture condition monitoring and assessment. The prototype takes advantage of the VegScape's service oriented architecture and adds a new component for SMAP soil moisture. It reuses existing VegScape visualization, dissemination and analytical functionalities and tools. The prototype inherits the capabilities of interactive map operations, data dissemination, statistical tabulating and charting, comparison analysis, and various Web services.

[1]  Ionut Iosifescu Enescu,et al.  Web cartography with open standards - A solution to cartographic challenges of environmental management , 2010, Environ. Model. Softw..

[2]  Jiancheng Shi,et al.  The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.

[3]  Bill Kropla,et al.  Beginning MapServer: Open Source GIS Development , 2005 .

[4]  Liping Di,et al.  Web service-based vegetation condition monitoring system - VegScape , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[5]  Rick Mueller,et al.  US national cropland soil moisture monitoring using SMAP , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[6]  Liping Di,et al.  Deriving 2011 cultivated land cover data sets using usda National Agricultural Statistics Service historic Cropland Data Layers , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[7]  Laura Díaz,et al.  Service-oriented applications for environmental models: Reusable geospatial services , 2010, Environ. Model. Softw..