NDLI: Retrieval of grass canopy water content, leaf area index, and dry weight using TM/ETM+ data, a case study in a typical semi-arid steppe in northern china

Content Provider	IEEE Xplore Digital Library
Author	Yuanyuan Wang Guicai Li Meng Wang
Copyright Year	2010
Description	Author affiliation: Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China, Meteorological Administration (LRCVES/CMA), Beijing 100081 (Yuanyuan Wang; Guicai Li; Meng Wang)
Abstract	In this research, three field surveys were carried out in a typical semi-arid steppe in northern China, respectively on early July, late July and late August in 2008. During each survey, 80 plots established according to the cyclic sampling design were investigated, and three bio-parameters including LAI (Leaf Area Index), CWC (Canopy Water Content) and DW (Dry Weight) were measured. Temporalspecific correlation analysis between TM spectral variables and bio-parameters revealed that the strength of the correlation changed dramatically across time. NDVI was more correlated with CWC and DW in late July, whereas LSWI was a better predictor for CWC and DW in late August. LAI was poorly correlated with TM spectral variables, except in late August. When the three survey datasets were analyzed together, TM band 5 and LSWI were the most suitable for bio-parameters estimation, highlighting the importance of SWIR band in ecological monitoring for semi-arid steppe.
Starting Page	2071
Ending Page	2074
File Size	157290
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5654423
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Indexes Remote sensing Vegetation Satellites Earth Soil LAI semi-arid steppe TM CWC DW
Content Type	Text
Resource Type	Article

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