• 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