Spatial Observation of Giant Panda Habitat: Techniques and Methods

This book evaluates the past, present and future habitat suitability of giant panda with remote sensing facility " space eye", which uses spatial observation technology such as optical remote sensing, microwave remote sensing and LiDAR to open the mysterious door of giant panda habitat. It takes the world natural heritage site "Sichuan Giant Panda Habitat" as the research object, taking into account the problems faced by the world natural heritage site protection, to systematically exhibits the technology and method of spatial information technology for monitoring, evaluation and prediction of rare and endangered species habitats, and provides suggestions for sustainable development of giant panda habitat based on a series of comprehensive case analysis including Sichuan Wolong giant panda nature reserve and Ya’an prefecture, China . It serves both as a textbook in natural heritage protection, remote sensing and GIS application and a reference book as well for natural heritage site management.

Dr. Wang Xinyuan is a Professor at the Aerospace Information Innovation Research Institute(AIR), Chinese Academy of Sciences. He is also serving as Deputy Director of International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Chair of Digital Heritage Specialized Committee of China National Committee, International Society for Digital Earth (ISDE), Co-Chair of the Heritage Working Group of the Digital Belt and Road Programme (DBAR), Member of International Council on Monuments and Sites (ICOMOS), Member of the world heritage Expert Committee of the State Forestry and Grass Administration of China.

Prof. Wang is engaged in the research of remote sensing archaeology and digital heritage conservation and application. He had published More than 180 papers and 5 books, and published “Context Environment Map of World Cultural Heritage Sites along the Silk Road”.

Dr. Zhen Jing is an associate professor of the Aerospace Information Innovation Research Institute (AIR), Chinese Academy of Sciences. She was engaged in the research of remote sensing satellite data acquisition, remote sensing thematic information extraction for more than 20 years. She is also the key member of International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO. Recently, she mainly focused on research of the evaluation and prediction of the impact of climate change on the habitat of giant panda. Based on multi-source remote sensing data and field verification, she has carried out fine-scale evaluation of giant panda habitats and countermeasures against the impacts of climate change. Relevant research results have been published in sustainability of MDPI and the monograph "Space Observation Techniques and Methods of Giant Panda Habitat" published by Science Press. At present, Dr. Zhen is looking forward to do cooperation research with friends all over the world on the impact of climate change, and contribute to the monitoring, protection and sustainable development of world heritage sites.

Dr. MENG Qingkai is a Professor at the Institute of Mountain hazards and environment(IMHE), Chinese Academy of Sciences. He is also serving as associate fellow of International Consortium on Landslides(ICL), key member of international network on Landslide early warning systems (LandAware), and member of European Geosciences Union(EGU). He was engaged in the research of landslide monitoring, recognition, early warning and evaluation by interferometric SAR and multi-remote sensing analysis. He has carried out experiments of various landslide deformation mechanism in Giant Panda world heritage sites, Loess Plateau and Qinghai-Tibet Plateau. He had published more than 10 peer-reviewed papers with high impact index. At present, Dr. MENG is looking forward to do cooperation research with friends all over the world on the landslide science induced by climate change, especially in Qinghai-Tibet Plateau and contribute to provide sustainable and consolidate monitoring strategy for risk mitigation and prevention.