By S. Hazra, A. Mukhopadhyay, A. R. Ghosh, D. Mitra, V. K. Dadhwal

ISBN-10: 3319460080

ISBN-13: 9783319460086

ISBN-10: 3319460102

ISBN-13: 9783319460109

This publication provides proper and modern examine at the distant sensing of landscapes, agriculture & forestry, geomorphology, coasts & oceans, typical dangers and wild habitats. It highlights the applying of distant sensing in knowing usual techniques and oceanic gains, in addition to in growing mapping inventories of water assets throughout diversified spatial and temporal scales. contemporary advances in hyperspectral imaging and excessive spatial answer provide promising thoughts for exploring a variety of elements relating to the fruitful and low-cost tracking of large-scale environments. within the box of forestry and agriculture, the ebook addresses themes resembling terrain research, wooded area administration, updating present woodland inventories, and crops hide variety discrimination. It additionally elaborates delineation of varied geo-morphological positive factors of the earth’s floor and average mess ups, and features a distinctive part at the distant sensing of untamed habitats. Readers operating in interdisciplinary sectors engaged in remote-sensing-based examine enjoy the suggestions presented.

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2011). The downscaling model was developed based on aggregated ASTER data and tested on MODIS data to downscale the thermal imagery of 1000 m to 250 m spatial resolution. Yang et al. (2010a) suggested a downscaling model based on the temperature vegetation-space triangular relationship over no-stressed canopy cover landscape. Merlin et al. (2010) considered the LST difference between non-photosynthetically and photosynthetically active vegetation fraction derived from a time series Formesat-2 shortwave data to downscale the MODIS LST.

1995), and detection of buried hot features (Prakash et al. 1995). In order to understand the aforementioned applications, a wide range of medium-to-high resolution LST or thermal data products are used successfully. Downscaling of Coarse Resolution Satellite Remote Sensing … 37 Thermal images which are currently available on a daily basis (temporal resolution of 1–2 days or less) have a moderate to coarse ( ! 500 m) spatial resolution. Due to physical and technological constrains, the acquisition of moderate-to-high resolution LST/thermal data is a challenging task (Liang 2004).

All the required layers are integrated one by one through the ‘Union’ operation for both LRDP and WRDP generation tools, which is a computationally complex process. Hence, it is advisable to use these tools only for a small geographical area such as micro-watershed, block or village level to avoid long processing time. Generation of development plans through conventional methods is a tedious process as many controlling parameters must be independently derived and integrated. Hence, in the present study, standalone open-source GIS based tools is proposed for land and water resources development planning, which involves generation of alternate land-use and demarcation of areas suitable for artificial recharge.

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Environment and Earth Observation: Case Studies in India by S. Hazra, A. Mukhopadhyay, A. R. Ghosh, D. Mitra, V. K. Dadhwal


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