Crops distribution in large scale based on SPOT/VGT NDVI

被引：0
作者：
Li Y. [1 ]
Jiang N. [1 ]
Shi H. [2 ]
Lü H. [1 ]
Xue C. [2 ]
Wang N. [2 ]
机构：
[1] School of Geography Science, Nanjing Normal University
[2] College of Forest Resources and Environment, Nanjing Forestry University
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2010年 / 26卷 / 12期
关键词：
Crops; Data processing; NDVI; Remote sensing; Spatial distribution; SPOT/VGT; Stepwise regression;
D O I：
10.3969/j.issn.1002-6819.2010.12.041
中图分类号：
学科分类号：
摘要：
With the extensive application of remote sensing technology in agriculture, the means of timely and accurately monitoring the growth and spatial distribution of crop in a small region have become reliable, however, if the survey is run in a large region, taking a province for instance, the mass data, countless working hours and expenses of remote sensing data used in the measurement of crop will bring the researchers some unsolvable problems. Meanwhile, the current census of agriculture in China is unable to provide a real-time database. In this paper, a long time series SPOT/VGT NDVI data was used in mapping the spatial distribution of crop in Jiangsu province, then the statistical regression analysis and comparison were carried out with the data derived from remote sensing measurement, agriculture census and field survey respectively. The results showed that a large scale crop monitoring during the growth period based on the long time series SPOT/VGT NDVI dataset can give a positive response. Compared with the agriculture census, the statistical regression analysis between the data derived from field survey and remote sensing measurement can guarantee a higher accuracy and meet the requirements of crop monitoring.
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页码：242 / 247
页数：5
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