NDLI: Directional vegetation index interactions in ASAS imagery

Content Provider	IEEE Xplore Digital Library
Author	Huete, A.R. Liu, H.Y. Liu, H.Q.
Copyright Year	1994
Description	Author affiliation: Dept. of Soil & Water Sci., Arizona Univ., Tucson, AZ, USA (Huete, A.R.; Liu, H.Y.; Liu, H.Q.)
Abstract	The use of vegetation indices (VIs) for monitoring the Earth's vegetation must not only produce composited, cloud-free imagery but must also consider and adjust for land surface and atmospheric directional effects. In this study, the view angle profiles of various vegetation indices (VI's), along the principal plane to the Sun, were investigated with ASAS imagery, acquired over different land surface cover types at the Walnut Gulch Experimental Watershed in Arizona. The normalized difference vegetation index (NDVI) and several soil- and atmospheric-correcting versions of the NDVI were analyzed to examine land surface anisotropic effects for both land cover discrimination and for temporal compositing of the VI. Atmospheric optical depth and soil and vegetation biophysical measurements were simultaneously made. View angle profiles were highly dependent on the VI utilized. Furthermore, view angle profiles of some VI's, such as the NDVI, varied with land cover type, while other VI's, like the SAVI and modified NDVI (MNDVI), yielded similar profiles for all the land cover types studied. The NDVI view angle profiles were sensitive to atmosphere and topography-induced brightness variations while these same variations were minimized with use of the atmospheric resistant and soil-correcting variants of the NDVI, particularly the MNDVI. Hence, the improved, self-correcting VI's facilitated multiangular interpretations, including compositing, by minimizing complex atmospheric-vegetation-soil-angular interactions.
Starting Page	1813
Ending Page	1815
File Size	301100
Page Count	3
File Format	PDF
ISBN	0780314972
DOI	10.1109/IGARSS.1994.399573
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Land surface Surface topography Monitoring Earth Sun Anisotropic magnetoresistance Biomedical optical imaging Geometrical optics Optical sensors
Content Type	Text
Resource Type	Article

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