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Proceedings Paper

Study on the shelterbelt effects on crop condition using RS and GIS
Author(s): Rongxin Deng; Shuwen Zhang; Ying Li; Wenjuan Wang
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Paper Abstract

The Northeast shelterbelt is a part of the Shelter Forest System Program in Three-North Regions of China, and the Jilin Province is an important food production basis, the research on the shelterbelt effects on crop condition in this region is very necessary to evaluating the protective effect and crop increasing. For this purpose, it choose Dehui, Yushu, Fuyu and Nong'an of the Jilin province as the research areas, and select the shelterbelt protected ground and no shelterbelt protected ground as the research spot respectively, taken the MODIS NDVI of 16 days compositional data productions from March to October in 2008, using GIS analysis technique, analyzing the crop condition in this temporal series. Through comparing the NDVI temporal changing line, peak value and the sum of the NDVI, it found that the shelterbelt has an obvious effect on the crop condition. It can conclude that, through reducing the wind speed, changing the local climate environment, the shelterbelt can improve the crop condition. In addition, comparing to the traditional research methods, it's much more effective, and less time consuming to analyzing the shelterbelt by RS and GIS, and it can help study the shelterbelt's protective effect on a larger temporal and spatial scale.

Paper Details

Date Published: 11 July 2009
PDF: 6 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910N (11 July 2009); doi: 10.1117/12.836836
Show Author Affiliations
Rongxin Deng, Northeast Institute of Geography and Agroecology (China)
Graduate School of the Chinese Academy of Sciences (China)
Shuwen Zhang, Northeast Institute of Geography and Agroecology (China)
Ying Li, Northeast Institute of Geography and Agroecology (China)
Wenjuan Wang, Northeast Institute of Geography and Agroecology (China)
Graduate School of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering

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