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

• Published in: Journal of Zhejiang University. A. Science Vol. 5; no. 4; pp. 412 - 417
• Main Author: 程乾 黄敬峰 王人潮
• Format: Journal Article
• Language: English
• Published: China Springer Nature B.V 01.04.2004
• Subjects: Agriculture - methods; Agriculture - statistics & numerical data; China; Classification; Crop growth; Data Interpretation, Statistical; Geographic information systems; GIS; Global positioning systems; GPS; Image resolution; Landsat; Landsat satellites; MODIS; Oryza - growth & development; Parameters; Radiometry - methods; Radiometry - statistics & numerical data; Remote sensing; Rice; Rice fields; Satellite imagery; Software Design; Spectroradiometers; 全球定位系统; 地理信息系统; China
• ISSN: 1009-3095; 1673-565X; 1862-1775
• DOI: 10.1631/jzus.2004.0412

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.