Vegetation is a vital component of the Earth's systems as it is involved in many interactions between the biosphere, atmosphere, hydrosphere, and lithosphere. More particularly, vegetation plays a key role in Earth's biogeochemical cycles and surface energy balance, converting solar energy to biomass to support the food chain, oxygen production and carbon sequestration, soil development and erosion prevention, heat control, and many other benefits to the humans and environment. Accordingly, mapping vegetation dynamics is significant for many interdisciplinary/multidisciplinary studies and making decisions that directly or indirectly support the United Nations SDGs. Furthermore, time-series monitoring deepens our understanding of vegetation response to anthropogenic activities and natural processes from a climate change perspective. Over recent decades, advances in remote sensing, in conjunction with statistical and machine learning algorithms and powerful cloud computing platforms, have enabled efficient mapping and monitoring of the vegetation. The possibility of acquiring remote sensing data from different sensor sources (e.g., multispectral, SAR, LiDAR, and thermal) and with different spatial, temporal, and radiometric characteristics has created unprecedented opportunities to study vegetation dynamics. This Reprint discusses the application of remote sensing data for vegetation mapping, monitoring, and analysis of change drivers.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. Vegetation is a vital component of the Earth's systems as it is involved in many interactions between the biosphere, atmosphere, hydrosphere, and lithosphere. More particularly, vegetation plays a key role in Earth's biogeochemical cycles and surface energy balance, converting solar energy to biomass to support the food chain, oxygen production and carbon sequestration, soil development and erosion prevention, heat control, and many other benefits to the humans and environment. Accordingly, mapping vegetation dynamics is significant for many interdisciplinary/multidisciplinary studies and making decisions that directly or indirectly support the United Nations SDGs. Furthermore, time-series monitoring deepens our understanding of vegetation response to anthropogenic activities and natural processes from a climate change perspective. Over recent decades, advances in remote sensing, in conjunction with statistical and machine learning algorithms and powerful cloud computing platforms, have enabled efficient mapping and monitoring of the vegetation. The possibility of acquiring remote sensing data from different sensor sources (e.g., multispectral, SAR, LiDAR, and thermal) and with different spatial, temporal, and radiometric characteristics has created unprecedented opportunities to study vegetation dynamics. This Reprint discusses the application of remote sensing data for vegetation mapping, monitoring, and analysis of change drivers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783725859696
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9783725859696
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9783725859696
Anzahl: Mehr als 20 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 408444225
Anzahl: 4 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 26405791390
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18405791380
Anzahl: 4 verfügbar
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Hardcover. Zustand: new. Hardcover. Vegetation is a vital component of the Earth's systems as it is involved in many interactions between the biosphere, atmosphere, hydrosphere, and lithosphere. More particularly, vegetation plays a key role in Earth's biogeochemical cycles and surface energy balance, converting solar energy to biomass to support the food chain, oxygen production and carbon sequestration, soil development and erosion prevention, heat control, and many other benefits to the humans and environment. Accordingly, mapping vegetation dynamics is significant for many interdisciplinary/multidisciplinary studies and making decisions that directly or indirectly support the United Nations SDGs. Furthermore, time-series monitoring deepens our understanding of vegetation response to anthropogenic activities and natural processes from a climate change perspective. Over recent decades, advances in remote sensing, in conjunction with statistical and machine learning algorithms and powerful cloud computing platforms, have enabled efficient mapping and monitoring of the vegetation. The possibility of acquiring remote sensing data from different sensor sources (e.g., multispectral, SAR, LiDAR, and thermal) and with different spatial, temporal, and radiometric characteristics has created unprecedented opportunities to study vegetation dynamics. This Reprint discusses the application of remote sensing data for vegetation mapping, monitoring, and analysis of change drivers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9783725859696
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Bestandsnummer des Verkäufers 9783725859696
Anzahl: 2 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Remote Sensing of Vegetation | Mapping, Trend Analysis, and Drivers of Change | Buch | Englisch | 2026 | MDPI AG | EAN 9783725859696 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134758995
Anzahl: 5 verfügbar