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Bio-Design and Manufacturing  2022 Vol.5 No.4 P.412~417

10.1631/jzus.2004.0412


Assessment of rice fields by GIS/GPS-supported classification of MODIS data


Author(s):  CHENG Qian, HUANG Jing-feng, WANG Ren-chao

Affiliation(s):  Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou 310029, China

Corresponding email(s):   qiancheng525@yahoo.com.cn

Key Words:  Areas of rice fields, Moderate-Resolution Imaging Spectroradiometer (MODIS), Geographic information system (GIS), Global position system (GPS)


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CHENG Qian, HUANG Jing-feng, WANG Ren-chao. Assessment of rice fields by GIS/GPS-supported classification of MODIS data[J]. Journal of Zhejiang University Science D, 2022, 5(4): 412~417.

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Abstract: 
The new moderate-Resolution Imaging Spectroradiometer (MODIS) satellite image offers a large choice of opportunities for operational applications. The 1-km Advanced Very High Resolution Radiometer (AVHRR) image is not suitable for retrieval of field level parameter and Landsat data are not frequent enough for monitoring changes in crop parameters during the critical crop growth periods. A methodology to map areas of paddy fields using MODIS, geographic information system (GIS) and global position system (GPS) is introduced in this paper. Training samples are selected and located with the help of GPS to provide maximal accuracy. A concept of assessing areas of potential cultivation of rice is suggested by means of GIS integration. By integration of MODIS with GIS and GPS technologies the actual areas of rice fields in 2002 have been mapped. The classification accuracy was 95.7% percent compared with the statistical data of the Agricultural Bureau of Zhejiang Province.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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<1>

Tien@Pham<pdtien.agu@gmail.com>

2011-03-25 16:43:23

i is very helpfull

cdxx@eweg<woeorp@yahoo.com>

2010-06-11 11:28:13

good

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