Assessment of Environmental Degradation Using Remote Sensing and GIS: Environmental Conservation - Softcover
Synopsis
This research is concentrated on the impacts of coal mining and seam fires like land degradation, increased surface temperature, and methane emission using remote sensing. Temporal data sets of three years (1994, 2004, and 2014) were compared and changes were predicted for 2024 using CA MARKOV modelling for LULC. Using thermal remote sensing techniques Landsat5(TM) and Landsat 8(TIRS&OLI) change in surface temperature over the years was analyzed and statistical approach was employed to quantify the relation between Mining area temperature and other land use/land cover. The analysis was showing high temperature in coal mining areas when compared to the other land uses, and when compared to 1994, 2004 and 2014 min-maximum temperature also increased drastically. CMHI analysis also gave similar results for temperature in case of different land use and land cover classes. Methane is a greenhouse gas and its emission a major causative factor for global warming. Coal mining activities in Jharia lead to methane leakages in different parts of Jharia. It was detected using Hyperion data and normalized hydrocarbon index.
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About the Author
Arasumani M – PhD scholar of Remote sensing and GIS at the Centre for Geoinformatics, The Gandhigram Rural Institute – Deemed University, Tamil Nadu, India. He obtained his PGD in Remote Sensing and GIS at the Indian Institute of Remote Sensing. His Research Interests are Hyperspectral Remote Sensing and Conservation Biology.
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Assessment of Environmental Degradation Using Remote Sensing and GIS
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research is concentrated on the impacts of coal mining and seam fires like land degradation, increased surface temperature, and methane emission using remote sensing. Temporal data sets of three years (1994, 2004, and 2014) were compared and changes were predicted for 2024 using CA MARKOV modelling for LULC. Using thermal remote sensing techniques Landsat5(TM) and Landsat 8(TIRS&OLI) change in surface temperature over the years was analyzed and statistical approach was employed to quantify the relation between Mining area temperature and other land use/land cover. The analysis was showing high temperature in coal mining areas when compared to the other land uses, and when compared to 1994, 2004 and 2014 min-maximum temperature also increased drastically. CMHI analysis also gave similar results for temperature in case of different land use and land cover classes. Methane is a greenhouse gas and its emission a major causative factor for global warming. Coal mining activities in Jharia lead to methane leakages in different parts of Jharia. It was detected using Hyperion data and normalized hydrocarbon index. 92 pp. Englisch. Seller Inventory # 9783330348783
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Assessment of Environmental Degradation Using Remote Sensing and GIS
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Assessment of Environmental Degradation Using Remote Sensing and GIS: Environmental Conservation
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Assessment of Environmental Degradation Using Remote Sensing and GIS
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LAP LAMBERT Academic Publishing Jul 2017, 2017
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Taschenbuch. Condition: Neu. Neuware -This research is concentrated on the impacts of coal mining and seam fires like land degradation, increased surface temperature, and methane emission using remote sensing. Temporal data sets of three years (1994, 2004, and 2014) were compared and changes were predicted for 2024 using CA MARKOV modelling for LULC. Using thermal remote sensing techniques Landsat5(TM) and Landsat 8(TIRS&OLI) change in surface temperature over the years was analyzed and statistical approach was employed to quantify the relation between Mining area temperature and other land use/land cover. The analysis was showing high temperature in coal mining areas when compared to the other land uses, and when compared to 1994, 2004 and 2014 min-maximum temperature also increased drastically. CMHI analysis also gave similar results for temperature in case of different land use and land cover classes. Methane is a greenhouse gas and its emission a major causative factor for global warming. Coal mining activities in Jharia lead to methane leakages in different parts of Jharia. It was detected using Hyperion data and normalized hydrocarbon index.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Seller Inventory # 9783330348783
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Assessment of Environmental Degradation Using Remote Sensing and GIS : Environmental Conservation
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research is concentrated on the impacts of coal mining and seam fires like land degradation, increased surface temperature, and methane emission using remote sensing. Temporal data sets of three years (1994, 2004, and 2014) were compared and changes were predicted for 2024 using CA MARKOV modelling for LULC. Using thermal remote sensing techniques Landsat5(TM) and Landsat 8(TIRS&OLI) change in surface temperature over the years was analyzed and statistical approach was employed to quantify the relation between Mining area temperature and other land use/land cover. The analysis was showing high temperature in coal mining areas when compared to the other land uses, and when compared to 1994, 2004 and 2014 min-maximum temperature also increased drastically. CMHI analysis also gave similar results for temperature in case of different land use and land cover classes. Methane is a greenhouse gas and its emission a major causative factor for global warming. Coal mining activities in Jharia lead to methane leakages in different parts of Jharia. It was detected using Hyperion data and normalized hydrocarbon index. Seller Inventory # 9783330348783
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Assessment of Environmental Degradation Using Remote Sensing and GIS | Environmental Conservation
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Taschenbuch. Condition: Neu. Assessment of Environmental Degradation Using Remote Sensing and GIS | Environmental Conservation | Arasu Mani | Taschenbuch | 92 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330348783 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 109548750
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