Forest resources resilience and conflicts /

Forest Resources Resilience and Conflicts presents modern remote sensing and GIS techniques for mapping, monitoring, measuring, and modeling forest resources. The book provides an up-to-date critical analysis of the discourse surrounding forest resources and society, illustrating the relationship be...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Shit, Pravat Kumar (Editor ), Pourghasemi, Hamid Reza (Editor ), Adhikary, Partha Pratim (Editor ), Bhunia, Gouri Sankar (Editor ), Sati, Vishwambhar Prasad (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, 2021.
Temas:
Forests and forestry > Remote sensing.
Forests and forestry > Economic aspects.
Sustainable development.
For�ets > Aspect �economique.
D�eveloppement durable.
sustainable development.
Forests and forestry > Economic aspects
Forests and forestry > Remote sensing
Sustainable development
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title page
  • Copyright
  • Contents
  • Contributors
  • About the Editors
  • Preface
  • Part I Geospatial based ForestResources Mapping,Monitoring and Modeling
  • Chapter 1
  • Recent development and future challenges of geospatial approaches for enhancing forest inventories
  • 1
  • Introduction
  • 1.1
  • Usefulness of geospatial technology in forest mapping
  • 1.2
  • Satellite data and forest resource mapping
  • 1.3
  • Remotely sensed indices in forestry application
  • 1.3.1
  • Geospatial artificial intelligence (geoAI) and forestry
  • 1.3.2
  • Bayesian combination method
  • 1.3.3
  • Artificial neural network (ANN)
  • 1.3.4
  • Fuzzy system
  • 1.3.5
  • Adaptive neurofuzzy inference system (ANFIS)
  • 1.3.6
  • Multiagent system (MAS)
  • 2
  • Challenges to implementation and uptake of new technologies
  • Acknowledgments
  • References
  • Chapter 2
  • Development of a WebGIS platform to generate biodiversity data using citizen science approach
  • 1
  • Introduction
  • 2
  • WebGIS architecture
  • 3
  • Study area
  • 4
  • Methodology
  • 5
  • Result and discussions
  • 6
  • Conclusion
  • References
  • Further reading
  • Chapter 3
  • Analyzing seasonal variation in the vegetation cover using NDVI and rainfall in the dry deciduous forest region...
  • 1
  • Introduction
  • 2
  • Database and methods
  • 2.1
  • Study area
  • 2.2
  • Methods
  • 2.2.1
  • NDVI extraction
  • 2.2.2
  • Rainfall trend analysis
  • 3
  • Results
  • 3.1
  • Seasonal variation in NDVI
  • 3.2
  • Seasonal variation in rainfall (1901-2018)
  • 3.3
  • Relationship between NDVI and rainfall
  • 4
  • Discussion
  • 5
  • Conclusion
  • References
  • Chapter 4
  • Forest health assessment using advanced geospatial technology in Buxa reserve forest, sub-Himalayan West Bengal...
  • 1
  • Introduction
  • 2
  • Materials and methods
  • 2.1
  • Study area
  • 2.2
  • Chronology of changes in forest landscape in the study area of BRF
  • 2.3
  • Database and methodology
  • 2.3.1
  • Normalized difference vegetation index (NDVI)
  • 2.3.2
  • Normalized difference moisture index (NDMI)
  • 2.3.3
  • Normalized difference infrared index (NDII)
  • 2.3.4
  • Enhanced vegetation index (EVI)
  • 2.3.5
  • Soil-adjusted vegetation index (SAVI)
  • 2.3.6
  • Greenness index (GI)
  • 2.3.7
  • Shadow index (SI)
  • 2.3.8
  • Bareness index (BI)
  • 2.3.9
  • Analytical hierarchical process (AHP)
  • 3
  • Result and discussion
  • 3.1
  • Normalized difference vegetation index
  • 3.2
  • Normalized difference moisture index
  • 3.3
  • Normalized difference infrared index (NDII)
  • 3.4
  • Enhanced vegetation index (EVI)
  • 3.5
  • Soil-adjusted vegetation index (SAVI)
  • 3.6
  • Greenness index (GI)
  • 3.7
  • Shadow index (SI)
  • 3.8
  • Bareness index (BI)
  • 3.9
  • Vegetation status of BRF
  • 4
  • Conclusion
  • References
  • Chapter 5
  • An appraisal of forest degradation and future scenario in the Bilaspur district of Chhattisgarh state (India)

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