NDLI: Improvements to ASTER-Derived Fractional Estimates of Bare Ground in a Savanna Rangeland

Content Provider	IEEE Xplore Digital Library
Author	Gill, T.K. Phinn, S.R.
Copyright Year	1980
Abstract	Accurate estimates of ground cover and its inverse, bare ground (BG), derived from satellite imagery are required for monitoring rangeland-health indicators over large areas. This paper shows how accurate estimates of BG were obtained from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image data over a savanna rangeland in north-east Australia. The normalized difference vegetation index and the lignin and cellulose absorption index were used to extract spectral-reflectance signatures of three scene endmembers from the image data: BG, nonphotosynthetic vegetation, and photo- synthetic vegetation. The endmember signatures were used with the Monte Carlo spectral mixture analysis (MCSMA) algorithm to derive image estimates of BG that were compared with field measurements. The results showed that the accuracies of the BG estimates were improved, compared to those obtained in a previous ASTER study that used only two endmembers in the unmixing procedure (root mean square error (RMSE) was improved from >0.1 to ~0.05). The results are an improvement on previous work that used Landsat and IKONOS satellite- multispectral imagery, compared favorably with estimates derived from airborne hyperspectral imagery, and can be used with existing rangeland monitoring methods. We conclude that the end- member extraction method is simple and widely applicable and can be used with MCSMA to obtain accurate estimates of BG from ASTER imagery. However, the use of this approach for estimating BG from satellite imagery depends on the future development of satellite-hyperspectral or ASTER-like sensors.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	662
Ending Page	670
Page Count	9
File Size	960271
File Format	PDF
ISSN	01962892
Volume Number	47
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Satellite broadcasting Monitoring Reflection Radiometry Australia Electromagnetic wave absorption Data mining Layout Monte Carlo methods rangeland monitoring Advanced spaceborne thermal emission and reflection radiometer (ASTER) bare ground (BG) lignin and cellulose absorption (LCA) index Monte Carlo spectral mixture analysis (MCSMA) normalized difference vegetation index (NDVI)
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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