27 research outputs found

    Remote sensing applications in forestry - Analysis of remote sensing data for range resource management Annual progress report

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    Interpretation of remote sensing data for evaluating range resource

    Monitoring California's forage resource using ERTS-1 and supporting aircraft data

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    NASA's Earth Resource Technology Satellite (ERTS-1) launched July 23, 1972, offers for the first time the unique capabilities for regional monitoring of forage plant conditions. The repetitive coverage every 18 days, the synoptic view and the real-time recovery of the imagery for immediate analysis, combine to make the ERTS satellite a valuable tool for improving the evaluation of our rangeland resources. Studies presently underway at the University of California, Berkeley (sponsored jointly by NASA and the Bureau of Land Management), seek to determine if imagery obtained from high altitude aircraft and spacecraft (ERTS) can provide: (1) a means for monitoring the growth and development of annual and perennial range plants in California, and for determining the time and the rate of initial plant growth (germination) and terminal plant growth (maturation and senescence); (2) a means for determining or predicting the relative amount of forage that is produced; and (3) a means for mapping rangeland areas having different forage producing capabilities

    The use of large scale aerial photographs in the evaluation of Western Australian rangelands

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    The results of qualitative and quantitative interpretations demonstrate that large scale photographs are an ideal base for mapping and recording individual plant species in a variety of plant communities. In some instances the colour photographs were sufficient to identify certain plant species, but, with most plant species, and with surface litter and soil conditions, colour-infrared was superior

    The use of large scale aerial photographs in the evaluation of Western Australian rangelands

    No full text
    The results of qualitative and quantitative interpretations demonstrate that large scale photographs are an ideal base for mapping and recording individual plant species in a variety of plant communities. In some instances the colour photographs were sufficient to identify certain plant species, but, with most plant species, and with surface litter and soil conditions, colour-infrared was superior

    Terrestrial remote sensing science and algorithms planned for EOS/MODIS

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    The Moderate Resolution Imaging Spectroradiometer (MODIS) will be the primary daily global monitoring sensor on the NASA Earth Observing System (EOS) satellites, scheduled for launch on the EOS-AM platform in June 1998 and the EOS-PM platform in December 2000. MODIS is a 36 channel radiometer covering 0-415-14-235 μm wavelengths, with spatial resolution from 250 m to 1 km at nadir. MODIS will be the primary EOS sensor for providing data on terrestrial biospheric dynamics and process activity. This paper presents the suite of global land products currently planned for EOSDIS implementation, to be developed by the authors of this paper, the MODIS land team (MODLAND). These include spectral albedo, land cover, spectral vegetation indices, snow and ice cover, surface temperature and fire, and a number of biophysical variables that will allow computation of global carbon cycles, hydrologic balances and biogeochemistry of critical greenhouse gases. Additionally, the regular global coverage of these variables will allow accurate surface change detection, a fundamental determinant of global change. © 1994 Taylor & Francis Ltd
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