Crop monitoring using remote sensing orientated for government decision making and agricultural management: a case study of China's soybean planting area estimation

Bangjie Yang; Yonglan Qian; Zhiyuan Pei; Xianfeng Jiao

doi:10.1117/12.693679

11 January 2007 Crop monitoring using remote sensing orientated for government decision making and agricultural management: a case study of China's soybean planting area estimation

Bangjie Yang, Yonglan Qian, Zhiyuan Pei, Xianfeng Jiao

Author Affiliations +

Proceedings Volume 6412, Disaster Forewarning Diagnostic Methods and Management; 64120T (2007) https://doi.org/10.1117/12.693679
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

China is one of the main soybean production countries in the world and soybean is of great importance in agricultural industry, domestic consumption and international trade. In recent years, however, China has become the largest soybean importer in the world. Therefore timely credible information about soybean planting area and production is essential for government decision making and agricultural management on domestic consumption and international trade. Moreover, information on soybean planting and continuous planting location is critical for distributing farmer subsidies and production management. In this paper, an operational system based on multi-resolution remotely sensed data was developed for the soybean area inventory and continuous cropping area monitoring. A stratified sampling method is employed to extract and locate major soybean-planting regions, which are later surveyed using remote sensing data. At the same time, sub regions are constructed based on cropping systems in which remotely sensed data of different resolutions are applied for the soybean area estimation and replanting area location assessment.

Citation Download Citation

Bangjie Yang, Yonglan Qian, Zhiyuan Pei, and Xianfeng Jiao "Crop monitoring using remote sensing orientated for government decision making and agricultural management: a case study of China's soybean planting area estimation", Proc. SPIE 6412, Disaster Forewarning Diagnostic Methods and Management, 64120T (11 January 2007); https://doi.org/10.1117/12.693679

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KEYWORDS

Remote sensing

Agriculture

Earth observing sensors

Landsat

Accuracy assessment

Image resolution

Image classification

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