Synergy of multitemporal Radarsat SAR and Landsat ETM data for extracting agricultural crops structure

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 thi...

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Bibliographic Details
Main Authors: Wenbo Xu, Bingfang Wu, Yichen Tian, Jianxi Huang, Yong Zhang
Format: Conference Proceeding
Language:English
Subjects:
Agronomy. Soil science and plant productions
Applied geophysics
Biological and medical sciences
Cotton
Crops
Data mining
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
Helium
Internal geophysics
Remote monitoring
Remote sensing
Satellites
Spaceborne radar
Speckle
Synthetic aperture radar
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Summary: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%
DOI:10.1109/IGARSS.2004.1370026