Paper
14 November 2007 Monitoring the growth of large-area tobacco with MODIS data
Mengquan Wu, Wuihong Cui
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679033 (2007) https://doi.org/10.1117/12.747955
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
To monitor growing crops in a large scale is a complicated problem and a satisfied method to know what the way a crop is growing has been sought by the scientists in the field. Remote Sensing was rarely used to monitor growing tobacco with satellitic data. With the development of the sensor, MODIS (Moderate-resolution Imaging Spectroradiometer) could do well in the field. In this paper, the researched subject is the tobacco planted in the province of Yunnan , China. A method to monitor growing tobacco was experimented with modern spatial technology, which integrated MODIS data and the observation of agronomic parameters of crop growth in order to obtain more exact results. The intergraded method were used to analyze the patterns of normalized vegetation index (NDVI) and leaf area index (LAI) for tobacco from planting to harvest, which proved that the MODIS-LAI was consistent with the measured LAI, and the variety of MODIS-LAI was consistent with the variety of the growth of tobacco. It showed that tobacco growth monitoring using intergraded method is practical, which should be extensively applied in arid land in the Southwest China.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengquan Wu and Wuihong Cui "Monitoring the growth of large-area tobacco with MODIS data", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679033 (14 November 2007); https://doi.org/10.1117/12.747955
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KEYWORDS
MODIS

Remote sensing

Vegetation

Satellites

Agriculture

Meteorological satellites

Near infrared

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