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Proceedings Paper

Feasibility of estimating rice planting area of hilly region in southern China using remote sensing technique
Author(s): Geying Lai; Xingwei Yang
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Paper Abstract

The objective of the study (Zhejiang province as study area) was to estimate rice planting area of hilly region in southern part of China by remote sensing technique with NOAA/AVHRR data. The research contents mainly concerned contrast tests on practical approaches, both digital elevation model (DEM) and digital slope model (DSM) derived from the digital relief map were used for the purpose of improving the classification accuracy of AVHRR imagery in large-area hilly region. The results indicated that the accuracy of maximum-likelihood (MLH) classification could satisfy the professional requirements of estimating rice planting area and fuzzy supervised classification based on unmixing AVHRR imagery has better classification accuracy and stability than MLH. In addition, the results through using both DEM and DSM as ancillary categorization data suggests DSM may improve the results of extracting paddy field signatures from AVHRR, particularly may improve the spatial accuracy, while DEM contribute nothing to improve the accuracy mentioned above.

Paper Details

Date Published: 19 August 1998
PDF: 9 pages
Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); doi: 10.1117/12.319543
Show Author Affiliations
Geying Lai, Shanghai Meteorological Institute (China)
Xingwei Yang, Shanghai Meteorological Institute (China)

Published in SPIE Proceedings Vol. 3504:
Optical Remote Sensing for Industry and Environmental Monitoring
Upendra N. Singh; Huanling Hu; Gengchen Wang, Editor(s)

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