Könyv Forest Resources Resilience and Conflicts Pravat Shit

Forest Resources Resilience and Conflicts

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
67 301 Ft
Forest Resources Resilience and Conflicts: Mapping, Modeling, and Managing for Sustainable Livelihoo...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2021
oldal
476
EAN
9780128229316
Enbook ID
33369104
Súly
1296
Méretek
272 x 218 x 32

Teljes leírás

Forest Resources Resilience and Conflicts: Mapping, Modeling, and Managing for Sustainable Livelihood presents modern remote sensing and GIS techniques for mapping, monitoring, measuring, and modeling forest resources. It provides an up-to-date critical analysis of the discourse surrounding forest resources and society, illustrating the relationship between forest resources and the livelihood of local people. The book is organized into five parts and each section begins with an introductory section. Each chapter will then review current understanding, present research, and future implications. Utilizing case studies and novel advances in geospatial technologies, Forest Resources Resilience and Conflicts provides a timely synthesis of a rapidly growing field and stimulates ideas for future work, especially in light of sustainable development goals. In addition, the book presents the effective contribution of the forestry sector to populations’ livelihoods through improved collection of forestry statistics that foster the understanding and integration of the forestry sector in poverty reduction processes and the national economy to enhance its integration in national planning. It is a valuable resource for researchers and students in environmental science, especially those interested in forestry, geography, and remote sensing. Demonstrates the measurement, monitoring, mapping, and modeling of forest resourcesExplores state-of-the-art techniques using open source software, R statistical programming, and GIS, focusing on recent trends in data mining and machine learningAddresses a wide range of issues with both environmental and societal implicationsProvides a global review of the multiple roles of forest resources utilizing case studies to illustrate management strategies and techniques

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