DocumentCode :
291608
Title :
Optical and seasonal variations along the U.S.-Mexico border: an analysis with Landsat TM imagery
Author :
de Lira, G.R. ; Batchily, K. ; Hongtao, J. ; Huete, A.R.
Author_Institution :
Dept. of Soil & Water Sci., Arizona Univ., Tucson, AZ, USA
Volume :
2
fYear :
1994
fDate :
8-12 Aug. 1994
Firstpage :
1044
Abstract :
A multi-temporal border study was conducted with a series of seven Landsat Thematic images acquired during the 1992 growing season. Spatial and temporal variations across the border were analyzed with reflectance and thermal data. Vegetation index and brightness parameters were computed to study land use differences and their impact on vegetation and soil, temporal and phenological variations. The thermal data, in conjunction with the vegetation index results were used to infer differences in moisture, condition and stress throughout the wet and dry seasons. This was accompanied by a ground-based campaign to analyze the soil and biophysical properties of the surface. Soil color, texture and reflectance were measured on both sides of the border along with plant cover and biomass sampling. Significant differences in biomass cover and dry/green biomass ratios were found. The Mexican side had a more intense grazing use, which resulted in a lack of dry plant material, as well as lower amount of green growth. The normalized vegetation index (NDVI) and brightness clearly showed vegetation differences across the border while thermal differences were more subtle.
Keywords :
geophysical techniques; remote sensing; AD 1992; Landsat TM imagery; Mexico border; NDVI; United States USA; agriculture; brightness; geomorphology; geophysical measurement; grazing; land surface; land use; multispectral method; optical imaging; plant cover; remote sensing; season; seasonal variation; terrain mapping; vegetation; visible; Biomass; Biomedical optical imaging; Brightness; Image analysis; Reflectivity; Remote sensing; Satellites; Soil; Thermal stresses; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399339
Filename :
399339
Link To Document :
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