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Showing items 27991 through 27999 of 73560.Direct applications of remote sensing thermal infrared (TIR) data in landscape ecological research are rare due to limitations in the sensors, calibration, and difficulty in interpretation.
This article examines the problematic processes in a case that has had few parallels in Indian judicial history. The apex court in T. N. Godavarman took upon the responsibility of deciding how forest resources in the country should be accessed and who is (or is not) to have such access.
For discussing and planning sustainable land management of river basins, stakeholders need suitable information on spatio-temporal patterns of natural processes and human actions.
Although the designation of greenbelts around cities has been a common practice for several decades, some greenbelts have not been successfully protected from development.
Traditional regression techniques such as ordinary least squares (OLS) are often unable to accurately model spatially varying data and may ignore or hide local variations in model coefficients.
Although land cover and meteorological conditions are known to impact mercury (Hg) deposition processes, few studies have addressed how changes in forest cover and shifting climatic conditions will impact the Hg cycle.
Providing land cover spatio-temporal information and geo-computing through web service is a new challenge for supporting global change research, earth system simulation and many other societal benefit areas.
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