United Nations Framework Convention on Climate Change aims in developing strategies to reduce emissions from deforestation and forest degradation (REDD). Remote sensing is a fundamental tool in monitoring forests for REDD/REDD+ on diverse spatial and temporal scales for various REDD/REDD+ related biophysical parameters; like deforestation, reforestation and afforestation, forest degradation, biomass and biomass burning, carbon stock and footprint. Synergies of multiple remote sensing data sources, including optical and Synthetic Aperture Radar (SAR) are used in the study. The book provides integrated multi-sensor optical and SAR remote sensing expertize to the development of new forest inventory methods. Ground measurements and airborne data are practically impossible for this purpose because of their cost. Spaceborne optical satellite data has certain limitations that can be overcome by using SAR data. The study establishes the availability, potential and limitations of different remote sensing data sources for REDD/REDD+ forest monitoring and to provide recommendations on how to improve the role of remote sensing for implementing REDD/REDD+ MRV systems.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -United Nations Framework Convention on Climate Change aims in developing strategies to reduce emissions from deforestation and forest degradation (REDD). Remote sensing is a fundamental tool in monitoring forests for REDD/REDD+ on diverse spatial and temporal scales for various REDD/REDD+ related biophysical parameters; like deforestation, reforestation and afforestation, forest degradation, biomass and biomass burning, carbon stock and footprint. Synergies of multiple remote sensing data sources, including optical and Synthetic Aperture Radar (SAR) are used in the study. The book provides integrated multi-sensor optical and SAR remote sensing expertize to the development of new forest inventory methods. Ground measurements and airborne data are practically impossible for this purpose because of their cost. Spaceborne optical satellite data has certain limitations that can be overcome by using SAR data. The study establishes the availability, potential and limitations of different remote sensing data sources for REDD/REDD+ forest monitoring and to provide recommendations on how to improve the role of remote sensing for implementing REDD/REDD+ MRV systems. 84 pp. Englisch. N° de réf. du vendeur 9786202528801
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - United Nations Framework Convention on Climate Change aims in developing strategies to reduce emissions from deforestation and forest degradation (REDD). Remote sensing is a fundamental tool in monitoring forests for REDD/REDD+ on diverse spatial and temporal scales for various REDD/REDD+ related biophysical parameters; like deforestation, reforestation and afforestation, forest degradation, biomass and biomass burning, carbon stock and footprint. Synergies of multiple remote sensing data sources, including optical and Synthetic Aperture Radar (SAR) are used in the study. The book provides integrated multi-sensor optical and SAR remote sensing expertize to the development of new forest inventory methods. Ground measurements and airborne data are practically impossible for this purpose because of their cost. Spaceborne optical satellite data has certain limitations that can be overcome by using SAR data. The study establishes the availability, potential and limitations of different remote sensing data sources for REDD/REDD+ forest monitoring and to provide recommendations on how to improve the role of remote sensing for implementing REDD/REDD+ MRV systems. N° de réf. du vendeur 9786202528801
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sinha SumanDr. Suman Sinha is an Assistant Professor in Geography in Amity University (Kolkata, India). He is M.Sc. in Environmental Science (University of Calcutta), M.Tech. and Ph.D. in Remote Sensing and GIS (Birla Institute of Te. N° de réf. du vendeur 385946554
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -United Nations Framework Convention on Climate Change aims in developing strategies to reduce emissions from deforestation and forest degradation (REDD). Remote sensing is a fundamental tool in monitoring forests for REDD/REDD+ on diverse spatial and temporal scales for various REDD/REDD+ related biophysical parameters; like deforestation, reforestation and afforestation, forest degradation, biomass and biomass burning, carbon stock and footprint. Synergies of multiple remote sensing data sources, including optical and Synthetic Aperture Radar (SAR) are used in the study. The book provides integrated multi-sensor optical and SAR remote sensing expertize to the development of new forest inventory methods. Ground measurements and airborne data are practically impossible for this purpose because of their cost. Spaceborne optical satellite data has certain limitations that can be overcome by using SAR data. The study establishes the availability, potential and limitations of different remote sensing data sources for REDD/REDD+ forest monitoring and to provide recommendations on how to improve the role of remote sensing for implementing REDD/REDD+ MRV systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9786202528801
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Multi-Sensor Remote Sensing Synergy for REDD Monitoring | Suman Sinha | Taschenbuch | 84 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202528801 | 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 118461569
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