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Forest resources mapping of Liberia








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    Book (stand-alone)
    USE OF NOAA REMOTE SENSING DATA FOR ASSESSMENT OF THE FOREST AREA OF LIBERIA 1993
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    In the context of developing a practicable and cost effective method for obtaining a country’s forest area by remote sensing, the computer processing of NOAA AVHRR HRPT data covering Liberia was investigated. The only cloud-free scene then recorded turned out to be severely and unevenly affected by atmospheric haze. To mitigate the effects of this, the country was divided into six areas (strata) of more uniform haze conditions. Pixel DN values were obtained for forest and adjoining formations on transects within each stratum, for the first four AVHRR channels and three transforms: NDVI (2-1/2 + 1), IND3 (3-2/3 + 2), IND4(4-2/4 + 2). After analyzing the transects and comparing them with the available reference data (a mixture of large scale colour composite Landsat TM and MSS images for 1989 and 1986 respectively), channels 2, 3, 4 and IND3 were retained for processing. This was done by applying three methods to each stratum - thresholding, maximum likelihood classification using cluste ring signatures (hybrid), m.l.c. using training area signatures - and directed at separating the 5 main classes distinguishable on the Landsat images: Closed forest, Disturbed forest, Shifting cultivation and regrowth, Cultivation and Other.
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    Project
    Assistance to the Forestry Development Authority, Liberia. Project Findings and Recommendations
    Terminal Report
    1986
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    The broad objectives of the project were to: – strengthen FDA in all aspects of its development and operation; – establish a trial industrial plantation of 1 600 ha using both fast-growing exotic and indigenous species; – train Liberian staff; and – set up studies and surveys as necessary.
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    Forest Genetic Resources 2002
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    The recently released Forest Resources Assessment 2000 (FRA 2000) was based on an intensive, five-year effort carried out by FAO in cooperation with national forestry agencies from nearly every country of the world, a large number of research centres and academic institutions, and a number of international, regional and non-governmental organizations. Within the framework of the FRA programme, a vast amount of information on the status and trends in forest area, natural forests, plantations, pro tected areas, sustainable forest management and other, related variables, was collected and analysed.

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