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Forest cover density maps were intersected with 5 km mesh and estimates of forest area, forest carbon density for each Agro-ecological sub region and forest carbon pools were linked to the 5 km grid coverage of India.
Because previous estimates of forest loss have included the clearing of pulp plantations and oil palm estates the real loss of primary forest has until now been obscured.
Finally, the estimates of forest attributes were calculated as sample means for each sample.
The accuracy of the model outputs was assessed through comparison with independent estimates of forest NPP.
Increasingly, more detailed pixel-wise estimates of forest biophysical parameters are needed for such endeavors.
Estimates of forest area, forest cover percent and growing stock volume from NFI1 to NFI8 are listed in Table 4.
Research efforts are under way to provide additional estimates of forest ecosystem flux in the West [13, 15, 19].
Studies of canopy foliage dynamics can inform estimates of forest productivity (Parker [1995]; Osada et al. [2001]).
Estimates of forest structure and above ground biomass (AGB) are also possible using SAR and LiDAR data.
In particular, LiDAR is quickly becoming the technology of choice for harvest planning and providing local-scale estimates of forest structure.
Typically, DP and a high frequency of observations is required to improve estimates of forest cover change, particularly in regrowth areas where canopy closure is rapid.
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