An assessment of soil productivity loss caused by expanding urban land use using remote sensing and soil productivity models

Details An assessment of soil productivity loss caused by expanding urban land use using remote sensing and soil productivity models An assessment of soil productivity loss caused by expanding urban land use using remote sensing and soil productivity models

Jan 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997aipc..387..203n&link_type=abstract

Space technology and applications international forum (STAIF - 97). AIP Conference Proceedings, Volume 387, pp. 203-208 (1997).

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Applications

Spaceborne And Space Research Instruments, Apparatus, And Components, Artificial Earth Satellites, Sensors, Remote Sensing

Scientific paper

An EOS IDS project has been recently designed to assess the loss of soil productivity resulting from expanding urbanization in the U.S. and selected regions in Mexico and the Middle East using remotely sensed data and soil productivity models. The extent of urbanization will be determined by generating urban land cover layers from DMSP/OLS (Defense Meteorological Satellite Program's Operational Linescan System) nighttime imagery. This imagery will be calibrated using Landsat Thematic Mapper (TM) and population/housing census data. A range of soil/land productivity models will be evaluated using soil factors computed from the State Soil Geographic Database (STATSGO) and FAO soil databases, terrain models, climate and vegetation to rank soil mapping units based on their productivity potential. Examples of these models are the Net Primary Productivity (NPP) and FAO Fertility Capability Classification (FCC) system. The magnitude of soil productivity loss due to urbanization will finally be determined by analysis of data obtained from GIS overlays of urban land use and soil productivity layers.

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