Enrage 发表于 2025-3-23 12:20:52
The Study Area,,037 km. or about 7.7 % of India’s total geographical area. The relief is rugged with plateaus, hills and mountains dominating. Level lowlands are at a premium covering only 27 % of the area. Rainfall is torrential with 6,300 mm annually a routine occurrence in the Cherrapunji area. In the rest of tperpetual 发表于 2025-3-23 15:45:46
Conceptualizing Drivers of Forest Loss,has transcended discipline specific boundaries and various inert-disciplinary studies in remote sensing, geography, economics, anthropology, landscape ecology, forestry and geographical information systems have addressed the issue of deforestation at widely varying scales. Perhaps at no point of timTriglyceride 发表于 2025-3-23 21:29:56
Data and Methods,cessitates creating numerous training sets, data was collected using a handheld Global Positioning System. A combination of road sampling and transect sampling was followed. During road sampling, points were selected as far as possible at a distance of at least 100 m from the road. This was done toTremor 发表于 2025-3-24 00:23:44
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Drivers of Forest Loss,ide of agriculture and in the hills, an over dependence on forests resources including fuelwood consumption, logging and encroachment. At the same time the onus culpability of deforesting the region should not be conveniently foisted upon shifting cultivators alone. In turn jhum cultivation has beenGROSS 发表于 2025-3-24 14:24:48
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Conceptualizing Drivers of Forest Loss, the methods used to assess forest loss and land-use change those using remote sensing data have been found to be accurate and cost-effective. Recent studies have often used landscape metrics in conjunction with satellite data to assess landscape fragmentation. This chapter briefly analyses recent trends in land use/land cover studies.faddish 发表于 2025-3-24 21:01:22
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Land-Use Land-Cover Change,st cover loss in the the Hamren sub-division, the Rani-Garbhanga Reserved Forest and the Namdapha National Park. Further forest fragmentation has been assessed using a few indices from landscape metrics.