Paper Info
Title
Developing geospatial Web service and system for SMAP soil moisture monitoring
Abstract
Agriculture cropland soil moisture information plays a significant role in the management of agricultural policy, food security, and food prices. For better utilizing and reusing the agricultural information and knowledge, US Departments of Agriculture (USDA) National Agricultural Statistics Service (NASS) monitors US crop soil moisture condition using weekly field observations for counties in 45 states. The traditional State-level soil moisture is measured based on subjective and qualitative field observations through the crop progress report. These kind of observations are high-cost, not always precise, sometimes even inconsistent, unreliable, and do not provide complete national scale geospatial coverage. The Soil Moisture Active Passive (SMAP) mission measures passive land surface microwave emission and active radar backscatter, it provides a reliable data source for cropland soil moisture assessment. Geospatial Web service enables users to leverage distributed geospatial data and computing resources from the third-party geospatial applications through the network, and to automate geospatial data integration and analysis. Comparing to the portal manner, geospatial Web service is a more efficient and more flexible manner to make multi-machine interactions possible. Standard-based geospatial Web services technologies have been widely adopted in accessing, managing, and analyzing data and information for agriculture and environmental monitoring. Building the geospatial web service for agriculture soil moisture could enable the interoperation among different agricultural applications and systems, as well as fulfill the requirements from different organizations and agencies. This paper presents a prototype of Web service-based soil moisture monitoring system, demonstrates how to design and implement standard-based geospatial web services for visualization, dissemination, assessment, analytics, and management of agricultural soil moisture data, moreover, discusses the usability, scalability, and effectiveness of the system.
Year
DOI
Venue
2017
10.1109/Agro-Geoinformatics.2017.8047066
2017 6th International Conference on Agro-Geoinformatics
Keywords
Field
DocType
agriculture,soil moisture,geospatial web service,SMAP,OGC
Geospatial analysis,Environmental resource management,Computer science,Information science,Remote sensing,Interoperation,Agriculture,Analytics,Agricultural policy,Web service,Food security
Conference
ISSN
ISBN
Citations 
2334-3168
978-1-5386-3885-9
0
PageRank 
References 
Authors
0.34
3
11
Name
Order
Citations
PageRank
Lei Hu1103.35
Liping Di281198.92
Eugene Yu3216.77
Peng Yue4489.99
Junmei Tang563.57
Li Lin64423.07
Chen Zhang783.31
Ziheng Sun88215.31
Ruiheng Hu900.34
ranjay shrestha1093.84
Md. Shahinoor Rahman1173.99