NDLI: Remote sensing indicators for crop growth monitoring at different scales

Content Provider	IEEE Xplore Digital Library
Author	Zongnan Li Zhongxin Chen
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Beijing 100081, China (Zongnan Li) \|\| Institute of Agricultural Resources and Regional Planning, CAAS, Beijing 100081, China (Zhongxin Chen)
Abstract	Crop growth monitoring is critical in yield estimation and prediction. In this paper, the authors investigated several indicators for crop growth monitoring by remote sensing at different scales. The experiments were conducted in a study area in Hebei province in North China Plain. The target crop in this research is winter wheat, which is one of the important grain crops in China. The study at canopy scale is based on field experiment with different fertilizer supply treatments to winter wheat to get different crop growth gradients. The canopy spectra and LAI data of different crop growth situation were collected and analyzed. The correlation coefficients between vegetation indices and LAI were calculated. The best growth monitoring indicators at canopy scale for each phenological stage were determined by the correlation coefficients. The best indicator in early elongation stage is SAVI (L=0.3). While in jointing stage, the best indicator is SAVI (L=0.2). In the heading and milk stages, the best indicator is NDVI. At the regional scales, the multi-spectral remote sensing data from HJ-1A satellite were used to study the crop growth monitoring indicators. The performances of the vegetation indices at different spatial scales for crop growth monitoring were studied in different phenological stages by comparing the correlation coefficients of vegetation indices and LAI data. The result shows that the vegetation indices which have a function to decrease soil-effect are suitable for the region in different crop coverage in early elongation stage and for the region in low crop coverage, but they have limitations in dense crop coverage while in booting and heading stages.
Starting Page	4062
Ending Page	4065
File Size	190965
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6050124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Agriculture Remote sensing Monitoring Soil Vegetation mapping Correlation Reflectivity SAVI Crop growth monitoring indicator HJ-1A LAI
Content Type	Text
Resource Type	Article

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