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FRA 2000 - Forest cover mapping & monitoring with NOAA-AVHRR & other coarse spatial resolution sensors

Year of publication 2000

Place of publication Rome, Italy ;

Product type Book (stand-alone)

Edition 1

Synopsis (short abstract) This paper represents a review of the use of coarse spatial resolution satellite data, mainly NOAA-AVHRR, for forest cover mapping and monitoring all over the globe. Information about the sensor’s utility in respect of this application, appropriate scales, differentiation of forest classes, coverage (global, tropical, regional, national, etc.), accuracy of the results, integration with high spatial resolution results and problems/constraints in use, are all discussed. Other programmes that have used this instrument for forest mapping and monitoring (i.e. TREES, IGBP, FAO and other regional programmes) are reported on, and a brief review of the applicability of new coarse spatial resolution data (e.g. VEGETATION, ATSR) is also presented.

Language English

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    FRA 2000 - Pan-tropical survey of forest cover changes 1980-2000 - Results and findings 2002
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    The results from the FRA 2000 Remote Sensing Survey cover most of pan-tropical forests under a wide range of ecological conditions, from tropical rainforests to dry forests. Estimates were calculated at different levels: at sampling unit, stratum, sub-regional, regional, pan-tropical levels and at ecological zones level. The reliability of the estimates differs according to the study level. The survey was mainly designed for generating information with an acceptable statistical precision at the regional and pan-tropical levels. Estimates at the subregional level have a relatively low precision but give valuable indications on forest changes processes.
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    FRA 2000 - Pan-tropical survey of forest cover changes 1980-2000.
    Remote Sensing Survey of Forest Cover Changes 1980-2000
    2002
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    The FRA 2000 estimates of forest area and change are largely based on national statistics and inventory reports, which contain detailed information on the forests of individual countries. However, differences among data sets from the various countries can be great owing to the methods applied, the terms and definitions employed and the currency of the information in the individual inventories. Despite adjustments made to accommodate these differences, uncertainties can still arise when statistic s from different countries are compared, especially those relating to forest change.
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