918博天堂·(中国区)人生就是搏!

Kim Calders, professor in department of environment, PI of Computational and Applied Vegetation Ecology Lab. His research interests include: terrestrial and UAV based 918博天堂; measurement and modelling of full 3D vegetation structure and how this is related to airborne or spaceborne remote sensing signals; and radiative transfer modelling. Prof. Calders published 70 SCI papers in the past 10 years. Prof. Calders will give us a talk about: Terrestrial laser scanning: current trends.

Email: Kim.Calders@ugent.be

Website: http://www.ugent.be/bw/environment/en/research/cavelab/contact/kimcalders.htm

Dr. Xiaonan Tai joined the School of Biological Sciences at New Jersey Institute of Technology as assistant professor in 2020. Before that, she worked as a postdoctoral fellow at the University of Utah from 2018-2020. Dr. Tai received her undergraduate degree from the School of Resource and Environmental Science, Wuhan University, and her PhD from the Department of Geography, State University of New York at Buffalo, under the supervision of Professor Scott Mackay. 1) Assessing the impact of plant hydraulics and groundwater hydrology in predicting the spatial patterns of forest mortality. 2) Extending coupled hydro-ecological models. 3) Applying remote sensing spatial and temporal sequences to predict ecosystem response to environmental change. In the past five years, she has published 14 papers in authoritative SCI journals of remote sensing, ecology and hydrology, with 300 citations and h-index of 7. She has also served as reviewer and guest editor for many times in related fields. She is currently leading two national research projects in the US with a total funding of $600,000. She has also been invited to be a judge for NSF major science and technology projects.

The topic of Dr. Tai’s presentation is “spatial variations in ecosystem response to changing climate”, focusing on drought and pest-induced forest mortality in the United States. Looking forward to discussing the application prospects of remote sensing technology in hydro-ecological modeling and resource management with everyone.

Email: xiaonan.tai@njit.edu

Dr. Qiusheng Wu joined the Department of Geography at the University of Tennessee as Assistant Professor in 2019; prior to that, he was an Assistant Professor at Binghamton University from 2015-2019. Dr. Wu received his undergraduate degree from Sun Yat-sen University; and his M.S. and Ph.D. in Geography from the University of Cincinnati. His research focuses on remote sensing big data, cloud computing, and open source software development. He has published over 60 SCI papers and his research has been funded by the U.S. Department of Defense, Department of Agriculture, and NASA. Dr. Wu has released several open source software, which are widely used by researchers in China and abroad, including geemap, leafmap, geospatial, 918博天堂, whitebox, etc. It has published more than 300 video tutorials on YouTube for geographic data analysis. As of early July 2022, these video tutorials have received over 15,800,000 subscribers and over 560,000 views. Dr. Wu has received several awards, including being selected as one of the inaugural Global Top 10 Young Scientists in Frontier Technologies by the 2020 Geographic Information Developers Conference (WGDC) and being one of the official Google Certified GEE Developer Experts [GDE] in June 2022 (only 26 worldwide).

The topic of his presentation is “918博天堂 data processing and visualization based on whitebox and leafmap”, focusing on how to pre-process and extract information from 918博天堂 data with the cross-platform whitebox open source package, and how to visualize 918博天堂 data and digital elevation data in 3D with leafmap. Looking forward to discussing the application prospects of open source software in 918博天堂 data processing and visualization with everyone.

Email: qwu18@utk.edu

Dr. Tong Qiu will join the School of Ecosystem Science and Management at Pennsylvania State University as an assistant professor in October 2022; prior to that he was a postdoctoral fellow at the Nicholas School of the Environment, Duke University, USA, from 2020-2022. Dr. Qiu received his undergraduate degree from Wuhan University, School of Remote Sensing and Information Engineering, and his PhD degree from the Department of Geography, University of North Carolina at Chapel Hill. ecological big data on terrestrial ecosystems, and his main academic achievements are: 1) Quantified global seed yield and its response to environmental and tree traits for the first time. 2) Developed an ecological remote sensing phenology model based on Bayesian model to investigate the response of terrestrial ecosystems to climate warming, urbanization, and climate extremes. 3) Explored the response of biodiversity to climate change and habitat change. In the past five years, Dr. Qiu has published a number of papers as the first author in PNAS, Nature Communications, Remote Sensing of Environment, and has served as a reviewer for many journals in related fields. His research results have been reported by many US media and universities.

The topic of Dr. Qiu’s presentation is “Application of 918博天堂 and Hyperspectral Remote Sensing Data to Biodiversity”, and he will discuss the application of remote sensing data to biodiversity monitoring with the example of NEON ecological monitoring network in the US. Looking forward to discussing the potential of 918博天堂 and hyperspectral data in solving ecological problems with everyone.

Email: tong.qiu@duke.edu

Dr. Yun Yang received her undergraduate degree from Beijing Normal University and her master’s and doctoral degrees from Massachusetts State University. After completing her doctoral degree, she worked at the USDA Remote Sensing and Hydrology Laboratory and subsequently joined the University of Maryland as a research assistant. In the coming semester this fall, she will join Mississippi State University as an assistant professor. Dr. Yang is a member of OpenET Science Team and has conducted multiple projects for NASA and USDA.

The topic of Dr. Yang’s presentation is Monitoring forest health using remote sensing observations.

Dr. Lu Liang is currently an Associate Professor in the Department of Geography and Environment at the University of North Texas (UNT). She received her B.S. in Geography from Beijing Normal University in 2007, her M.S. from the Institute of Remote Sensing Applications, Chinese Academy of Sciences (2010), and her Ph.D. from the Department of Environmental Science, Policy and Management, University of California, Berkeley (2015). As a tenured professor at UNT, she is also a recipient of the Presidential Early Career Professorship Award. She currently serves on the editorial board of the internationally renowned academic journal, The Lancet, Health Cities. Besides, she has published more than 60 SCI papers in Lancet, Nature, Remote sensing of environment, Environment International, PLOS Neglected Tropical Diseases, Plos One and other journals with over 7000 citations, and h-index of 27. Dr. Liang is currently the chair of many NASA, NSF, USFG, National Geographic and other research projects with total funding of more than $1 million. She has also been invited to serve as a judge for NSF and NASA major science and technology projects.

The topic of Dr. Liang’s presentation is “Low-cost sensor and multi-source data fusion in urban environmental monitoring”, focusing on the advantages and considerations needed for Low-cost sensor in urban application scenarios, as well as the case study of high spatial and temporal resolution prediction generated by fusion with remote sensing data.

Email: lu.liang@unt.edu

Website: http://sites.google.com/site/liang3mlab/home

Researcher Yuanwei Qin has been conducting scientific research in Prof. Xiangming Xiao’s group at the University of Oklahoma since completing his PhD from the Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences in 2013. His research focuses on quantitative remote sensing of forest carbon sink effects, with major academic achievements including: 1) Developed a coupled optical and microwave remote sensing monitoring method for forest cover change. 2) Broke through the bottleneck of identifying the types of tropical forest cover change in global change hotspots and clarified the anthropogenic, clarified the anthropogenic and climate change drivers of forest cover change in tropical forests. 3) Preliminarily analyzed the mechanisms of forest cover change and climate change on the carbon sink function of terrestrial ecosystems. The outcome of his research has been adopted and applied by the IPCC Sixth Assessment Report, the Global Carbon Plan, and the United Nations Sustainable Development Program Framework Report, and has also been selected as one of the typical examples of the top ten new insights in global climate science in 2021. Dr. Qin has published 16 papers as first author, (including 2 papers on Nature Climate Change and Nature Sustainability), and all papers have been cited more than 6500 times in total, with an H-index of 38 (Google Scholar). He has been invited as a reviewer for journals such as Swiss NSF and Nature Communications.

The topic of his presentation is “Interannual variability monitoring of forest area and forest above-ground biomass based on multi-source remote sensing data”, focusing on the interannual variability of forest area and forest above-ground forest biomass in the Brazilian Amazon under the influence of human activities and climate change. Looking forward to discussing the application prospects of multi-source remote sensing technology in environmental monitoring and management with everyone.

Email: yuanwei.qin@ou.edu

Xianlian Gao, as a professor-level senior engineer, is the current Director of Satellite Division. He focused on the construction of satellite engineering, carbon sink measurement and monitoring, comprehensive ecological monitoring, and resource information management of forest and grassland. In 2010, he started to work on the “Terrestrial Ecosystem Carbon Monitoring Satellite”. During the project period, he completed the “User Requirements and Mission Report” and “Application System Program Validation Report” of the satellite project, and hosted the “Forestry Product Surface Data Processing and Inversion Technology Research” project. From 2017 to 2021, he organized the comprehensive experiments, product production algorithm research and product production of land-based carbon satellites in five regions of China. Meanwhile, he conducted a special survey on forest carbon sinks in 23 provinces in China from 2012 to 2013. Mr. Gao has organized and taken charge of many national application projects, including: 1) Technical coordination and technical coordination of the national forest resources database construction project, organized the development of the “National Forest Resources Management Information System”. 2) The project of “Management Platform of Planning and Design Survey Results of Key State-owned Forest Areas in Northeast Inner Mongolia”. 3) Global Forest Resources Assessment China Remote Sensing Survey (FAO,2020) project. 4) Technical guidance and coordination of comprehensive monitoring of forest and grass ecology in Liaoning Province in 2021. 5) New UAV technology in forest resources survey and monitoring.

Mr. Gao participated in the implementation of the ” Low Carbon Land Use Project in China and Germany” and “Terrestrial Carbon Accounting International Academic Partnership (TCAIAP)”. Furthermore, he has also participated in various projects, such as the National 863 Project “Integrated Quantitative Remote Sensing System and Application Demonstration of Star-Machine Land”, the Programme of Introducing Talents of Discipline to Universities “Introduction of National or Regional Scale Forest Biomass Inversion Technology”, China High-resolution Earth Observation System (CHEOS) “Ecosystem fine classification and target identification technology based on full-spectrum multispectral imager and hyperspectral camera”, Natural Science Foundation project “A new method to assess the carbon dynamics and carbon sequestration potential of major forests in China based on the data of sample land survey”, and many other research projects.

In the past two years, he has won the third prize of Liang Xi Science and Technology Progress Award, the special prize of Beijing Mapping Science and Technology Progress Award, and the first prize of National Forestry Excellent Engineering Consulting Achievement. Obtained numerous national invention patents and software

The topic of Mr.Gao’s presentation is “On the use of 918博天堂 in national forest inventory”.

Dr. Guohua Huang is currently a professor (Associate Dean of Research) in the School of Forestry, Beijing Forestry University, and the head of the quantitative remote sensing team for forestry. The main research interests of his research are forestry quantitative remote sensing modeling, and technology system development and application research. Dr. Huang has presided 4 consecutive National Natural Science Foundation of China and multiple ministry-level research projects. Over 70 academic papers have been published, including 5 papers in Remote Sensing of Environment as the first author or corresponding author. He has published the textbook of “Modern Forestry Information Technology” and “Quantitative Remote Sensing for Forestry: Framework, Models and Applications” for graduate students. The 3D remote sensing mechanism model RAPID developed by Dr. Huang is the first unified mechanism model integrating optical, microwave, 918博天堂 and thermal infrared in the world. Besides, he has made the results freely shared on the Internet (www.3dforest.cn) and gave a special training at the International Geoscience and Remote Sensing Symposium (IGARSS) in 2019. He is the first one who proposed the framework of quantitative remote sensing for forestry and clarified the positioning of remote sensing for forestry. Subsequently, he integrated the existing products and models of quantitative remote sensing with the needs of forestry applications. Currently, Dr. Huang serves as an editorial board member of Forest Ecosystems, editorial board member of Journal of Beijing Forestry University, editorial board member of Journal of Remote Sensing, and youth editorial board member of Remote Sensing Technology and Applications. He is also the vice chairman of National Forestry and Grassland High-Tech Promotion Special Committee, member of 918博天堂 Professional Committee, and expert of National Forestry and Grassland Administration’s College Textbook editing Database.

The topic of Dr. Huang’s presentation is “Digital twin promotes quantitative remote sensing modeling and experiment”.

Dr. Yang Lei is a researcher at the National Space Science Center (NSC) of the Chinese Academy of Sciences (CAS) and a recipient of the National Young Talent Program. He received his PhD in electrical and computer engineering from the Microwave Remote Sensing Laboratory at the University of Massachusetts Amherst (UMass Amherst) in 2016, and worked as an honorary postdoctoral fellow at NASA Jet Propulsion Laboratory (NASA/JPL) after graduation until 2018. and subsequently as an Associate Research Scientist in the Division of Geological and Planetary Sciences at Caltech from 2019-2021. Dr. Lei returns to China at the end of 2021 to join the Space Center’s Center for Space Geosciences, which was developed by a National Distinguished Expert, Researcher Jiancheng Shi (IEEE Fellow and Director of the State Key Laboratory of Remote Sensing). During his study and work in North America, he has hosted and participated in numerous NASA projects and involved in major satellite missions such as NISAR and Europa Clipper. He has been selected as NASA NESSF Fellow (18.8% acceptance rate nationwide) and NPP Fellow (2% acceptance rate for the total pool of applications worldwide), and has been awarded the NISAR Satellite Mission Team Award by NASA, and has been the PI of data projects for JAXA and DLR. Dr. Lei focuses on electromagnetic scattering mechanism modeling, radar signal processing, and remote sensing parameter inversion algorithms. He has accumulated and intensively researched in the field of microwave radar environmental remote sensing, especially the new regime (interferometric, polarization, laminar) synthetic aperture radar remote sensing of forests, snow, polar ice caps, and planetary subsurface layers. Dr. Lei’s main achievements include: 1) Rapid mapping of large-scale forest height and forest change and disturbance (growth, degradation, and selective deforestation) using satellite-based interferometric radar (InSAR). 2) Proposed InSAR electromagnetic scattering mechanism model for snow accumulation and inversion of snow parameters by tomoSAR and interferometry.3) Proposed an efficient glacier flow velocity measurement method and a large-scale electromagnetic scattering simulation algorithm for radar detection of extraterrestrial planets. The remote sensing automation software he developed is widely used by NASA and other scientific institutions.

The topic of Dr. Lei’s presentation is “Large-scale forest height extraction and change detection combining InSAR and 918博天堂”.

Dr. Jin Wu is an Assistant Professor in the School of Biological Sciences at the University of Hong Kong who received the Excellent Young Scientists Fund (Hong Kong and Macau) in 2019. He finished his undergraduate studies at Wuhan University and his PhD at the University of Arizona, followed by a postdoctoral fellowship at Brookhaven National Laboratory, USA. His main research interests include global change ecology, sustainability science, and multi-scale remote sensing technology development. He has led more than 10 projects and programs of the Hong Kong Research and Development Council and the National Natural Science Foundation of China, and published more than 70 papers in Science, Global Change Biology, Remote Sensing of Environment, etc. Dr. Wu has received Goldhaber Distinguished Fellowship from Brookhaven National Laboratory, NASA Earth and Space Science Fellowship, and the Best Paper Award for Young Ecologists from the Chinese Society of Overseas Ecologists. He is currently a member of the editorial board of Remote Sensing and an associate editor of Remote Sensing in Ecology and Conservation.

Dr. Wu’s presentation will focus on the photosynthetic processes in tropical forests and the possible applications of emerging high spatial and temporal resolution satellite remote sensing technologies in helping to characterize the structure and function of tropical forest ecosystems.

Email: jinwu@hku.hk

Website: http://wu-jin.weebly.com/

Dr. Xiangzhong Luo is currently an Assistant Professor in the Department of Geography at the National University of Singapore. His main research field is vegetation dynamics under climate change, especially leaf-to-ecosystem-scale land-atmosphere carbon, and water exchange. He obtained his PhD degree in Geography from University of Toronto, in 2018, supervised by Prof. Jingming Chen. He previously received his M.S. degree from Peking University and B.S. degree from Wuhan University, respectively, and worked as a postdoctoral researcher at the University of California, Berkeley and Lawrence Berkeley National Laboratory from 2018-2020. He currently has 30 publications in academic journals that include Nature, Science, and Nature subseries, including 9 one-shots and 3 one-shots in Nature subseries. He was awarded the Presidential Young Professorship by NUS in 2022.

The topic of Dr. Luo’s presentation is “Short- and long-term responses of global vegetation photosynthesis to climate change”, focusing on the response of vegetation photosynthesis, the dominant natural carbon capture pathway, to various climate elements at different time scales, and the potential significance of photosynthetic changes on the global carbon cycle and carbon neutrality.

Email: xzluo.remi@nus.edu.sg

Website: http://profile.nus.edu.sg/fass/geolx/

Dr. Yelu Zeng received his undergraduate degree from Wuhan University and his PhD from the Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Sciences. After graduation, he worked as a postdoctoral fellow and research scientist at Stanford Carnegie Institution, Pacific Northwest National Laboratory, and University of Wisconsin-Madison, USA. He has been working on vegetation fluorescence and optical radiative transfer models for a long time. The main academic achievements include 1) Led the development of the FluorRTER fluorescence 3D radiative transfer model, which extended the analytical model simulation capability from 1D simple vegetation to 3D complex vegetation. 2) Constructed a simple NIRv-based equation for vegetation canopy fluorescence escape probability and a method for decoupling plant physiology and canopy structure. 3) A two-way reflectance model for mixed agroforestry scenes was also developed. He co-authored the monograph ” Cloud Computing and Scientific Analysis of Remote Sensing”. He has been selected as an editorial board member and excellent reviewer of Remote Sensing of Environment; served as the chair of the 2020 and 2021 AGU Fall Meeting on remote sensing theory; received the third “Xiaowen Li Award for Young Scientists in Remote Sensing”; and founded the highly influential GeoInsider series.

The topic of Dr. Zeng’s presentation is “Satellite Remote Sensing for Monitoring Plant Photosynthesis: Fluorescence, Novel Vegetation Index and Radiative Transfer Processes”, focusing on the problems in the theory and data of radiative transfer between fluorescence and optical remote sensing, and the applications in monitoring plant photosynthesis, high temperature/drought/frost, and other environmental stresses.

Researcher Shengli Tao, received his PhD in ecology from Peking University in 2017. After that, he worked as a postdoctoral researcher at the French Academy of Sciences and the French Space Agency until 2021, and joined the Center for Ecological Research at Peking University in 2022. He mainly explores remote sensing ecology based on Radar, optical remote sensing, and 918博天堂. His papers have been published in PNAS, NSR, Ecology, Frontiers in Ecology and the Environment, etc. The major academic achievements of Dr. Tao include: 1) Developed a variety of ground-based 918博天堂 hardware and algorithms, revealed the unsaturated curve relationship between global tree height and moisture, correcting the traditional misperception. 2) Developed the world’s first set of long time series C-band Radar data, found that the drought resistance of global rainforest is decreasing. 3) Systematically researched the changes of lakes in China and Mongolia, providing data support for the management of water resources in China. He was awarded the First Prize of Beijing Natural Science and his related achievements were reported by NASA, People’s Daily Online, etc.

The topic of Dr. Tao’s presentation is “Putting a lightweight terrestrial laser scanner in Amazonian rainforests”.

Email: sltao@pku.edu.cn

Website: http://scholar.google.com/citations?user=7NJkU6cAAAAJ&hl=en&oi=ao

Dr. Qin Ma joined the School of Geosciences, Nanjing Normal University as an associate professor in 2022; an assistant professor at Mississippi State University from 2019-2021; and a postdoctoral researcher at the University of California, Moorside from 2018-2019. Dr. Ma received her undergraduate degree from Nanjing University; master’s degree from the Department of Geography, University of Western Ontario, Canada; and Ph.D. degree in Environmental Systems Engineering from the University of California, Moorside, USA, under the supervision of Prof. Qinghua Guo and Prof. Roger Bales. Her research focuses on remote sensing monitoring of forest ecosystems, and her main academic achievements are: 1) Evaluated the accuracy and efficiency of different remote sensing techniques in vegetation structure estimation.2) Developed a multi-temporal 918博天堂-based method for 3D vegetation monitoring. 3) Explored the response of carbon and water cycles in forest ecosystems to disturbances. In the past five years, she has published in leading SCI journals in remote sensing, ecology, geography, and hydrology, and has served as a reviewer and guest editor for many journals in related fields. Her research results have been used in natural resource management and biodiversity conservation by the U.S. Department of Agriculture, the State of California, and research institutions. Meanwhile, these researches have been reported by NASA and University of California. Dr. Ma has led a national and a local research project in the U.S. as well as co-chaired two national research projects in the U.S. with total funding of $1 million. She has also been invited to serve as a judge for major science and technology projects of the U.S. Department of Energy.

The topic of Dr. Ma’s lecture is “918博天堂-based Remote Sensing in Forest Ecosystems”, focusing on the case studies of forest fires, droughts, and forest and water management in Sierra Nevada, California. Looking forward to discussing the application prospects of remote sensing technology in ecological environment monitoring and management with everyone.

Email: maqin@nnu.edu.cn

Website: http://dky.njnu.edu.cn/info/1213/6313.htm