Paper Info
Title
Synergy of multitemporal Radarsat SAR and Landsat ETM data for extracting agricultural crops structure
Abstract
In China, crop structure adjustment policy has brought great change of different breed's planting area in different years. Government managers of agricultural industry need timely crop structure information to monitor the performance of the crop structure adjustment policy. The objective of this research was to evaluate the synergistic effects of multitemporal RADAR SAT synthetic aperture radar (SAR) and Land sat ETM+ data for extracting agricultural crops structure using an object-oriented classification approach. This paper instructs and analyses the crop structure near the Kaifeng city area in 2002. Four crop types were extracted: corn, soybean, cotton, and peanut. With the object-oriented classification approach, the overall accuracy of crop structure extracting from two-date F5 mode's SAR data (mid- to last-season) and two-date Land sat ETM+ is over 90%
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1370026
IGARSS
Keywords
Field
DocType
synthetic aperture radar,timely crop structure information,object-oriented classification,multitemporal radarsat sar,agricultural industry,ad 2002,china,image segmentation,kaifeng city,agriculture,remote sensing by radar,crops,agricultural crops structure,image classification,landsat etm data,quick bird,crop structure adjustment policy,synergistic effects,radar imaging,object-oriented methods,remote sensing,seasonality
Agricultural crops,Radar,Radar imaging,Object oriented methods,Computer science,Crop,Synthetic aperture radar,Remote sensing,Agriculture,Contextual image classification
Conference
Volume
Issue
ISSN
6
null
2153-6996
ISBN
Citations 
PageRank 
0-7803-8742-2
1
0.43
References 
Authors
1
5
Name
Order
Citations
PageRank
Wenbo Xu177.75
Wu Bingfang216539.66
Yichen Tian3175.87
Jianxi Huang41013.31
Yong Zhang562.47