• DocumentCode
    299072
  • Title

    Calibration of tropical forest area estimates at coarse spatial resolution with fine resolution data

  • Author

    Lambin, E.F. ; Mayaux, P.

  • Author_Institution
    Dept. de Geogr., Univ. Catholique de Louvain
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1003
  • Abstract
    The interaction between the proportional errors produced by spatial aggregation and the spatial pattern of cover types has been modelled in an operational way at a broad spatial scale. A correction function has been calibrated on the basis of tropical forest maps derived from AVHRR 1 km data for the entire intertropical belt and a non-random sample of-thirteen Landsat TM scenes well-distributed among the main tropical forest regions. The calibration model integrates a measure of the spatial fragmentation of the landscape in a two-step procedure. This calibration procedure improves by 35% the reliability of the retrieval of proportions of cover types by comparison to the AVHRR classifications
  • Keywords
    forestry; geophysical techniques; remote sensing; AVHRR; Landsat TM; calibration; calibration model; coarse spatial resolution; correction function; cover type; fine resolution data; forestry; geophysical measurement technique; multispectral remote sensing; optical imaging; proportional errors; satellite remote sensing; spatial aggregation; spatial pattern; tropical forest area estimate; two-step procedure; vegetation mapping; visible IR infrared; Belts; Calibration; Error correction; Estimation error; Layout; Remote sensing; Sampling methods; Satellites; Spatial resolution; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.521121
  • Filename
    521121