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Global forest cover mapping final report

Year of publication 2000

Place of publication Rome, Italy ;

Product type Book (stand-alone)

Edition 1

Synopsis (short abstract) Many countries periodically produce national reports on the state and change of forest resources, using statistical surveys and spatial mapping of remotely sensed data. At the global level, the Food and Agriculture Organization (FAO) of the United Nations has conducted a Forest Resources Assessment (FRA) program every 10 years since 1980, producing statistics and analysis that give a global synopsis of forest resources in the world. For the year 2000 of the FRA program (FRA2000), a global forest cover map was produced to provide spatial context to the extensive survey. The forest cover map, produced at the U.S. Geological Survey (USGS) EROS Data Center (EDC), has five classes: closed forest, open or fragmented forest, other wooded land, other land cover, and water. The first two forested classes at the global scale were delineated using combinations of temporal compositing, modified mixture analysis, geographic stratification, and other classification techniques. The remaining three FA O classes were derived primarily from the USGS global land cover characteristics database (Loveland et al. 1999). Validated on the basis of existing reference data sets, the map is estimated to be 77 percent accurate for the first four classes (no reference data were available for water), and 86 percent accurate for the forest and nonforest classification. The final map will be published as an insert to the FAO FRA2000 report, and the map data are available through the EDC web page.

Language English

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    XV World Forestry Congress, 2-6 May 2022
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    Global Forest Change (GFC) is a global monitoring system with moderate resolution (Landsat, 30 m pixel) that allows knowing the location and magnitude of the losses or gains of global forest cover. Critical Forest Change (CFC) is a calibration system based on comprehensive photo interpretation (1:10,000 scale for change editing, and 1:5,000 scale for interpretation- confirmation of change strata), with diagnostic criteria supported by field data of the National Forest Inventory (scale 1:1, period 2014-2021). CFC reduces until 85.8% the overestimation of the forest loss of GFC in the case of the Lacandona Region (327,646 ha). The process included the analysis of data at 330 study sites and the interpretation of 1,190 frames of Spot-6 (April 28, 2014) versus Sentinel-2 (April 24, 2021) in higher resolution (10 m). The annual rate of forest loss obtained by GFC (4,526 ha.yr-1) is 1.87 times higher than the LFC rate (2,415 ha.yr-1). Through a comparative analysis between the cartography of GFC and CFC, it was possible to identify that 19.2% of the differences correspond to phenological changes (leaf fall deciduous, greenness variation, or alteration of the biomass due to eventual changes in humidity). 31.3% by Landsat spatial resolution limitations, 3.8% occurs in changes by industrial plantations, 11.6% of the differences can reduce by eliminating the GFC residuals outside the forest FAO definition (changes less than 0.5 ha), 7.4% of the differences correspond to atmospheric noise in the interpreted images, 6.8% to visual omissions and 19.9% there are no changes by interpretation. The cartographic adjustment of GFC by CFC is relatively fast (1,000 ha.hr-1 per photointerpreter-expert). Its implementation improves the spatial coherence, periodicity, and legibility of the areas of change, strengthening the relevance of both systems in local policy decisions. Cartographic results of this work are available at http://selvalacandona.ecosur.ourecosystem.com Keywords: Selva Lacandona; Critical Forest Change; Global Forest Change; Forest Monitoring; Deforestation. ID: 3624121
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    Book (stand-alone)
    Field documentation of forest cover changes for the Global Forest Resources Assessment 2000 2000
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    FAO, at the request of member nations and the world community, regularly monitors the world’s forests through the Forest Resources Assessment Programme. The next report, the Global Forest Resources Assessment 2000 (FRA 2000), will review the forest situation by the end of the millennium. FRA 2000 will include country-level information based on existing forest inventory data, regional investigations of land-cover change processes, and a number of global studies focusing on the interaction between people and forests. The FRA 2000 report is made public at the end of the year. Findings will be distributed on the World Wide Web in the year 2000. One component of FRA 2000 is a survey of forest cover changes using satellite remote sensing. The survey is based on a pan-tropical sample of 117 Landsat TM images from three points in time during the period 1980-2000. The images are interpreted as to observable changes in the forest cover, and will provide objective estimates on a regional level. T his working paper documents both quantitatively and qualitatively three observed forest cover changes in the northeastern part of Thailand. The objectives and methodology of the RSS are described in detail in the Forest Resources Assessment Working Paper number eight.
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