Synopsis
The progress in Earth Observation (EO) technology over the recent years has led to the launch of multispectral and hyperspectral EO sensors. The overall objective of this book is to quantify and model the existing interactions among the Soil, the Vegetation and the atmosphere using multispectral and hyperspectral sensors by targeting the following applications:The 1st app. Evaluate the accuracy of the evapotranspiration (ET) operational estimates from the Meteosat Second Generation (MSG) SEVIRI at a range of selected ecosystems in Europe.The 2ed app. Investigate the development of a suitable methodology for establishing and monitoring the indicators of Ecosystem Health (EH) and its responses to wildfire using Earth Observation (EO) data synergistically with GIS. The 3ed app. Estimate the potential role of combining field and laboratory spectroradiometric data with geochemical data to quantify and model Heavy Metals Soil Contamination (HMSC) and the 4th app. Examine the synergistic operation among Hyperion hyperspectral satellite imagery with SVMs, FRAGSTATS program and PCA in order to quantify the LULC changes in a model mediterranean ecosystem.
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REMOTE SENSING
Edité par
LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10 : 6202918918
ISBN 13 : 9786202918916
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The progress in Earth Observation (EO) technology over the recent years has led to the launch of multispectral and hyperspectral EO sensors. The overall objective of this book is to quantify and model the existing interactions among the Soil, the Vegetation and the atmosphere using multispectral and hyperspectral sensors by targeting the following applications:The 1st app. Evaluate the accuracy of the evapotranspiration (ET) operational estimates from the Meteosat Second Generation (MSG) SEVIRI at a range of selected ecosystems in Europe.The 2ed app. Investigate the development of a suitable methodology for establishing and monitoring the indicators of Ecosystem Health (EH) and its responses to wildfire using Earth Observation (EO) data synergistically with GIS. The 3ed app. Estimate the potential role of combining field and laboratory spectroradiometric data with geochemical data to quantify and model Heavy Metals Soil Contamination (HMSC) and the 4th app. Examine the synergistic operation among Hyperion hyperspectral satellite imagery with SVMs, FRAGSTATS program and PCA in order to quantify the LULC changes in a model mediterranean ecosystem. 152 pp. Englisch. N° de réf. du vendeur 9786202918916
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REMOTE SENSING: Multispectral & Hyperspectral Applications
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ISBN 10 : 6202918918
ISBN 13 : 9786202918916
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REMOTE SENSING: Multispectral & Hyperspectral Applications
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ISBN 10 : 6202918918
ISBN 13 : 9786202918916
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REMOTE SENSING: Multispectral & Hyperspectral Applications
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LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202918918
ISBN 13 : 9786202918916
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REMOTE SENSING
Edité par
LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10 : 6202918918
ISBN 13 : 9786202918916
Neuf
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Taschenbuch. Etat : Neu. Neuware -The progress in Earth Observation (EO) technology over the recent years has led to the launch of multispectral and hyperspectral EO sensors. The overall objective of this book is to quantify and model the existing interactions among the Soil, the Vegetation and the atmosphere using multispectral and hyperspectral sensors by targeting the following applications:The 1st app. Evaluate the accuracy of the evapotranspiration (ET) operational estimates from the Meteosat Second Generation (MSG) SEVIRI at a range of selected ecosystems in Europe.The 2ed app. Investigate the development of a suitable methodology for establishing and monitoring the indicators of Ecosystem Health (EH) and its responses to wildfire using Earth Observation (EO) data synergistically with GIS. The 3ed app. Estimate the potential role of combining field and laboratory spectroradiometric data with geochemical data to quantify and model Heavy Metals Soil Contamination (HMSC) and the 4th app. Examine the synergistic operation among Hyperion hyperspectral satellite imagery with SVMs, FRAGSTATS program and PCA in order to quantify the LULC changes in a model mediterranean ecosystem.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch. N° de réf. du vendeur 9786202918916
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REMOTE SENSING | Multispectral & Hyperspectral Applications
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LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202918918
ISBN 13 : 9786202918916
Neuf
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Taschenbuch. Etat : Neu. REMOTE SENSING | Multispectral & Hyperspectral Applications | Salim Lamine | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202918916 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 119358519
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REMOTE SENSING : Multispectral & Hyperspectral Applications
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202918918
ISBN 13 : 9786202918916
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The progress in Earth Observation (EO) technology over the recent years has led to the launch of multispectral and hyperspectral EO sensors. The overall objective of this book is to quantify and model the existing interactions among the Soil, the Vegetation and the atmosphere using multispectral and hyperspectral sensors by targeting the following applications:The 1st app. Evaluate the accuracy of the evapotranspiration (ET) operational estimates from the Meteosat Second Generation (MSG) SEVIRI at a range of selected ecosystems in Europe.The 2ed app. Investigate the development of a suitable methodology for establishing and monitoring the indicators of Ecosystem Health (EH) and its responses to wildfire using Earth Observation (EO) data synergistically with GIS. The 3ed app. Estimate the potential role of combining field and laboratory spectroradiometric data with geochemical data to quantify and model Heavy Metals Soil Contamination (HMSC) and the 4th app. Examine the synergistic operation among Hyperion hyperspectral satellite imagery with SVMs, FRAGSTATS program and PCA in order to quantify the LULC changes in a model mediterranean ecosystem. N° de réf. du vendeur 9786202918916
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