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Tropical Forest, Geospatial Data & REDD+ By Ram Avtar

Tropical Forest, Geospatial Data & REDD+ by Ram Avtar

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Tropical Forest, Geospatial Data & REDD+ Summary

Tropical Forest, Geospatial Data & REDD+ by Ram Avtar

With an increasing role of tropical forests supporting a range of ecosystem services, biodiversity conservation, water regulation, soil conservation, timber, non-timber forest products, carbon sequestration, and climate change mitigation, the importance of forest resources management has become very crucial. The tropical forests of Indochina countries are rich in biodiversity and carbon density, and thus are significant from social, ecological, political and economic aspects. These forests provide essential livelihoods to the local and indigenous people. Rapid economic growth, agriculture expansion, illegal logging, population growth, and urbanisation have been reported as major contributors to almost all cases of deforestation. Due to rapid development, forest resources are at a great risk. The FRA 2010 report shows that deforestation caused a loss of about 13 million hectares of tropical forests per year from the year 2000 to 2010. Therefore, there is an urgent need for better management of these resources. This book partially contributes towards climate change mitigation by implementing the Reducing Emissions from Deforestation and forest Degradation (REDD+) mechanism. To mitigate climate change, most present studies are now concentrated on afforestation, reforestation and reducing deforestation and degradation. This book is focused on the application of multi-sensor remote sensing techniques to manage Cambodian forests for the effective implementation of the REDD+ mechanism. In this context, it is important to obtain reliable and consistent information of (a) forest cover, (b) deforestation, and (c) forest biomass to estimate CO2 emissions for the improvement of national carbon accounting. Additionally, this information will also be used for the development of the measurement, reporting and verification (MRV) system and for the management of forest resources to support sustainable forest management. Current knowledge is very limited with regard to the MRV system for REDD+ mechanism implementation. This book demonstrates the use of multi-sensor remote sensing techniques to manage the forest resources more sustainably. Further, it includes a concept on how precisely we can measure various forest parameters to minimise the uncertainty and to validate the results based on field data. The study is very much interdisciplinary in nature. It integrates core remote sensing techniques with the socio-economic angle of the REDD+ mechanism. It emphasises on remote sensing as a technique for ensuring the MRV of REDD+ initiatives, taking into consideration its cost effectiveness in implementation.

About Ram Avtar

Dr Ram Avtar currently working as Research Fellow at United Nations University, Institute for the Advanced Study of Sustainability (UNU-IAS), Japan. His research focuses on assessing the impact of global climate change and weighing on adaptation and mitigation options to offer scientific solutions. He has been working on various environmental issues related to climate change adaptation and mitigation. Dr. Avtar is recipient of the Green Talent Award-2013 by Federal Ministry of Education, Germany. He received his PhD from the University of Tokyo and explored gaps in existing biomass estimation practices and provided practical and policy relevant solutions to strengthen prevalent practices. Prior to joining United Nations University, Institute for the Advanced Study of Sustainability (UNU-IAS), Tokyo, Japan, Dr. Avtar worked as Post-Doctoral Researcher with the Japan Agency for Marine-Earth Science and Technology (JAMSTEC). He has completed his Master degrees (Master of Science and Master of Philosophy) from Jawaharlal Nehru University, India. Dr. Avtar has presented his research in numerous international conferences and extensively published papers in peer-reviewed international journals as well as books. His research interest includes application of remote sensing in forestry and REDD+ related issues and he sees greater potential in space technology to offer sustainable solutions to pressing environmental problems of the world. He is also involved in IPBES assessment report a

Table of Contents

Preface; Introduction; Cambodian Forest; Forest Cover Monitoring Based on Full Polarimetric PALSAR Data; Forests & Deforestation Characterization Using PALSAR Data; Deforested Area Height Estimation: DEMs Data; PALSAR Mosaic Data for National Level Biomass Estimation; Role of Remote Sensing & Community Forestry to Implement REDD+ Mechanism; Summary & Recommendations; References; Index.

Additional information

Tropical Forest, Geospatial Data & REDD+ by Ram Avtar
Nova Science Publishers Inc
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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