10.6084/m9.figshare.5797173.v1
Liping Di
Liping
Di
Eugene Genong Yu
Eugene Genong
Yu
Zhengwei Yang
Zhengwei
Yang
James Hipple
James
Hipple
G. Robert Brakenridge
G. Robert
Brakenridge
Li Lin
Li
Lin
Ranjay Shrestha
Ranjay
Shrestha
Lingjun Kang
Lingjun
Kang
Md. Shahino Rahman
Shahino
Rahman
Junmei Tang
Junmei
Tang
A Crop Loss Assessment Service System Using Remote Sensing
ESIP
2018
remote sensing
crop monitoring
geospatial Web services
GIS
Decision Support System
flood
Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
2018-01-19 18:07:14
Poster
https://esip.figshare.com/articles/poster/A_Crop_Loss_Assessment_Service_System_Using_Remote_Sensing/5797173
<p>Flood
causes crop damages on a large scale. Correct decisions to mitigate
flood-induced crop loss need extended information (time series and different
spatial resolution and extend). A survey of user requirements reveals that the
USDA National Agricultural Statistics Services (NASS) and the USDA Risk
Management Agency (RMA) have been identified as two of the largest users on the
flood-induced crop loss information. The former requires statistics of crop
loss assessment after all flood events in the United States of America. The
latter needs time series of flood assessment to make correct decisions in crop
insurance management. To meet the requirements of both agencies, a system of
service-oriented services has been designed and developed for better disseminating
and providing much needed decision-support information. Geospatial Web services
are adopted as the fundamental components. Standard and specifications are the
glue to support interactions and integrations among loose-coupled components to
form a unified system. Standard geospatial Web services include those following
OGC specifications: Web Coverage Service (WCS) for data/product servicing, Web
Map Service (WMS) for data presentation, Web Feature Service (WFS) for
geographic features, and Web Processing Services (WPS) for data processing and
analysis. The system consists of four functional modules to provide monthly and
annually flood statistics, crop condition profiles, flood duration/frequency,
and crop loss. The latency of information production is reduced by establishing
live workflows from Earth Observations (EO) to flood duration and frequency and
crop condition profiles.
</p>