Images difference of ASAR data for rice crop mapping in Fuzhou, China
نویسندگان
چکیده
منابع مشابه
Supervised Wishart Classifier for Rice Mapping Using Multi-temporal Envisat Asar Aps Data
For the operational application of multi-temporal ENVISAT ASAR APS data to rice mapping, a complex Wishart distribution based multi-temporal classifier was evaluated in this paper. The classification accuracy of this classifier was quantitatively compared with commonly used classifiers for optical remote sensing image classification including maximum likelihood classifier and minimum euclidean ...
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Rice is the most important food crop in Asia, and the timely mapping and monitoring of paddy rice fields subsequently emerged as an important task in the context of food security and modelling of greenhouse gas emissions. Rice growth has a distinct influence on Synthetic Aperture Radar (SAR) backscatter images, and time-series analysis of C-band images has been successfully employed to map rice...
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The objective of this paper is to investigate the use of HH/VV backscatter ratio, derived from data acquired by the Advanced Synthetic Aperture Radar (ASAR) system at high incidence angles (i.e. swaths I5-I7), to discriminate wheat from other crops. The wheat classification is obtained by applying an optimal threshold derived from the statistical distribution of the co-polarized backscatter rat...
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15 صفحه اولSensitivity of Asar Ap Data to Wheat Crop Parameters
This paper illustrates some results obtained in the frame of an experimental campaign carried out on several wheat fields of the Matera (Italy) site, from February 2003 to June 2004. During this period, ENVISAT ASAR data, at alternating polarization mode and at different incidence angles, were acquired on the area roughly every week. Ground data such as soil moisture content, wheat biomass, LAI...
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ژورنال
عنوان ژورنال: Geo-spatial Information Science
سال: 2010
ISSN: 1009-5020,1993-5153
DOI: 10.1007/s11806-010-0243-8