B31I:
Advancements in Global Land Cover and Land Use Monitoring II Posters


Submit an Abstract to this Session


Session ID#: 44660

Session Description:
Land cover and land use (LCLU) data are necessary for conservation and development of natural resources and habitat diversity, as well as to evaluate the capacity of ecosystems to support human needs (e.g. food production). Moreover, accurate LCLU maps are necessary for mapping human and animal health risks when a disease outbreaks. LCLU information are also a baseline to generate thematic maps of human activities and necessary to monitor 14 of the 17 Sustainable Development Goals. Furthermore, LCLU change impacts biodiversity, ecosystem services and more broadly regional climate. Therefore, it is necessary to develop a global comprehensive dynamic LCLU monitoring system.

This session brings together experts in LCLU mapping using remote sensing data to present and critically examine latest advancements in this field. Topics include algorithm development for LCLU classification using satellite imagery, machine learning applications for LCLU mapping, validating LCLU maps, and community efforts to improve LCLU class semantics.

Primary Convener:  Hamed Alemohammad, Radiant Earth Foundation, Washington, United States
Conveners:  Tatiana V Loboda, University of Maryland, College Park, United States, Mikaela Weisse, World Resources Institute, Washington DC, DC, United States and Prasad Thenkabail, USGS, Flagstaff, AZ, United States
Primary Liaison:  Hamed Alemohammad, Radiant Earth Foundation, Washington, United States
Chairs:  Hamed Alemohammad, Radiant Earth Foundation, Washington, United States, Mikaela Weisse, World Resources Institute, Washington DC, DC, United States and Tatiana V Loboda, University of Maryland, College Park, United States
OSPA Liaison:  Hamed Alemohammad, Radiant Earth Foundation, Washington, United States
Co-Organized with:
Biogeosciences, and Hydrology

Cross-Listed:
  • H - Hydrology

Proposed Co-Organized Session with:
  • H - Hydrology
Index Terms:

1632 Land cover change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
1855 Remote sensing [HYDROLOGY]
1942 Machine learning [INFORMATICS]

Abstracts Submitted to this Session:

Accurate mapping of urbanization trends and dynamics across Ethiopia using machine learning with humans in-the-loop (453623)
Zhuangfang Yi, Development Seed, Washington DC, DC, United States and Matthew Hanson, Development Seed, Washington DC, United States
Satellite Scatterometer Estimation of Urban Built-up Volume:Validation with Airborne Lidar Data (400621)
Adam Mathews, Binghamton University, Department of Geography, Binghamton, NY, United States, Amy E Frazier, Arizona State University, School of Geographical Sciences & Urban Planning, Tempe, AZ, United States, Son V Nghiem, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Gregory Neumann, JPL, Pasadena, CA, United States and Yun Zhao, University of Illinois at Springfield, Department of Environmental Studies, Springfield, IL, United States
Assessment of Performances of Different Remotely Sensed Data in Impervious Surface Mapping (363348)
Hua Shi, AFDS, contractor to USGS EROS, Sioux Falla, United States, George Z Xian, USGS, ISAB, Sioux Falls, United States, Jon Dewitz, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, United States and Zhuoting Wu, USGS Headquarters, National Land Imaging Program, Reston, United States
Improving Fractional Land Cover Data Sets from EOS MODIS (417342)
Robert Allen Sohlberg1, Charlene DiMiceli1, John R Townshend1 and Mark Carroll2, (1)University of Maryland, Geographical Sciences, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States
The expansion of solar photovoltaic farms could have unexpected consequences on farmlands, pastures, and woodlands in the United States (427003)
Chao Wang1, Mei Yu2, Qiong Gao2 and Fangfang Yao3, (1)University of Puerto Rico Rio Piedras Campus, Department of Environmental Sciences, San Juan, United States, (2)University of Puerto Rico Rio Piedras Campus, Department of Environmental Sciences, San Juan, PR, United States, (3)University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States
Characterizing global bare ground gain using Landsat imagery (415854)
Qing Ying1, Matthew Hansen2, Lei Wang3 and Peter Potapov2, (1)NASA GSFC/UMD ESSIC, College Park, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Land cover change analysis in Inner Mongolia, China using grid cell approach (344407)
Hasi Bagan, Shanghai Normal University, Shanghai, China
A Convolutional Neural Network Approach to Segmenting Smallholder Agriculture (370289)
Ryan Barry Avery1, Kelly K Caylor2, Lyndon D Estes3, Ronald Eastman4, Su Ye3, Lei Song3, Kaixi Zhang5, Sitian Xiong6, Dennis McRitchie7 and Tammy Woodard5, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)University of California Santa Barbara, Department of Geography and Bren School of Environmental Science and Management, Santa Barbara, CA, United States, (3)Clark University, Graduate School of Geography, Worcester, MA, United States, (4)Clark Labs, Worcester, MA, United States, (5)Clark University, Clark Labs, Worcester, MA, United States, (6)Clark University, Graduate School of Geography, Worcester, United States, (7)Princeton University, Princeton, NJ, United States
Evaluation of topographic correction on forest mapping using Landsat imagery (396313)
He Yin, University of Wisconsin Madison, Madison, WI, United States, Bin Tan, NASA Goddard Space Flight Center, Greenbelt, United States, David Frantz, Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany and Volker Radeloff, University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States
Extent and canopy height maps of Trees outside Forest (ToF) for Bangladesh (410111)
Nathan Marc Thomas, NASA Goddard Flight Center, Greenbelt, United States, Priscilla Baltezar, Humboldt State University, Arcata, United States, David Lagomasino, East Carolina University, Integrated Coastal Programs, Greenville, NC, United States, Seung-Kuk Lee, Pukyong National University, Busan, South Korea, Temilola Fatoyinbo, NASA GSFC, Biospheric Science, Greenbelt, United States, Justin Green, United States Forest Service International Programs Office, Washington D.C, United States and Mizanur Rahman, Kyoto University, Graduate School of Agriculture, Kyoto, Japan
Early-season 30m Winter Wheat Mapping in North China using Sentinel-2 and Landsat-8 data (424310)
Pengyu Hao, Huajun Tang Dr., Zhongxin Chen and Dandan Li, Institute of Agriculture Resource and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
Land Degradation Monitoring with Global and National Datasets - Ukrainian Use-case (434133)
Andrii Kolotii1,2, Nataliia Kussul1,3, Mykola S. Lavreniuk1,4, Bohdan Yailymov1, Olena Rakoid5 and Yuriy Kolmaz6, (1)Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine, (2)The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine, (3)EOSDA, Kyiv, Ukraine, (4)National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine, (5)National Univercity of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, (6)Ministry of Ecology and Natural Resources, Kiev, Ukraine
South America natural vegetation mapping based on the Landsat images from 1982 to 1989 (437240)
Andre Lima1, Viviana Zalles2, Matthew Hansen1 and Peter Potapov1, (1)University of Maryland, Department of Geographical Sciences, College Park, United States, (2)World Resources Institute, Washington, United States
Beyond “forest” change: assessing and improving global forest cover products (458666)
Matthew E Fagan1, Do-Hyung Kim2, Lexie Ferry3, Justin Drew3, Haven Carlson3, Joshua Schaferbien3 and Joshua Slaughter3, (1)University of Maryland Baltimore County, Geography and Environmental Systems, Baltimore, United States, (2)University of Maryalnd- College Park, College Park, MD, United States, (3)University of Maryland Baltimore County, Baltimore, United States
Monitoring the land and water use dynamics at basin level using time series of Landsat 8 data (467606)
Sajid Pareeth, Education & Culture Department, Expo city Dubai, Dubai, United Arab Emirates, Poolad Karimi, IHE Delft Institute for Water Education, Water Science and Engineering, Delft, Netherlands and Mojtaba Shafiei, East Water and Environmental Research Institute (EWERI), Mashhad, Iran
A satellite data record of annual global land cover and long-term change 1982-2016 (440084)
Xiao-Peng Song1, Matthew Hansen2, Stephen V. Stehman3, Peter Potapov2, Alexandra Tyukavina2, Eric Vermote4 and John R Townshend5, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)State University of New York, Department of Sustainable Resources Management, Syracuse, United States, (4)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (5)University of Maryland, Geographical Sciences, College Park, MD, United States
Development of deforestation probability surface in support of the vegetagion monitoring in the Brazilian Cerrado biome. (392240)
Sergio Nogueira, UFG Federal University of Goiás, Goiania, Brazil, Leandro L Parente, Federal University of Goiás, Goiania, Brazil and Laerte Guimaraes Ferreira, UFG Federal University of Goiás, LAPIG - Remote Sensing and GIS Lab, Goiania, Brazil
Classifying drivers of forest loss (409022)
Nancy Harris1, Philip G Curtis2, Christy M Slay3, Alexandra Tyukavina4 and Matthew Hansen4, (1)World Resources Institute, Washington DC, United States, (2)The Sustainability Consortium, Fayetteville, AR, United States, (3)The Sustainability Consortium, Fayetteville, United States, (4)University of Maryland, Department of Geographical Sciences, College Park, United States
Monitoring food security in Malawi using drone and satellite imagery (466957)
Do-Hyung Kim, UNICEF, Office of Innovation, New York, NY, United States, Artur Nowakowski, European Space Agency, phi lab, Frascati, Italy, Stefan Ernst, Humboldt University of Berlin, Geography, Berlin, Germany, Rogerio Bonifacio, World Food Program, Rome, Italy and Manuel Garcia Herranz, UNICEF, Office of Innovation, New York, United States
Comparative Analysis of two Ga- based Classification Algorithms over heterogeneous areas. (467027)
Eduardo Arizmendi Vasconcelos1, Alejandro Monsivais Huertero2, Jaime Hugo Puebla Lomas3, Jose Carlos Jimenez-Escalona1 and Ramón Sidonio Aparicio García3, (1)Instituto Politecnico Nacional, Mexico City, Mexico, (2)National Polytechnic Institute of Mexico, Ciudad DE México, Mexico, (3)Instituto Politecnico Nacional, Mexico, Mexico
A global time series of tree-canopy cover maps from 2000 to 2015 (467745)
Joseph O Sexton, terraPulse, Inc., Gaithersburg, United States; Global Land Cover Facility, University of Maryland, College Park, MD, United States, Min Feng, Global Land Cover Facility, University of Maryland, College Park, United States; terraPulse, Inc., Washington, United States, Saurabh Channan, Global Land Cover Facility, Univeristy of Maryland, College Park, MD, United States; terraPulse, Inc., North Potomac, MD, United States, Paul M Montesano, ADNET Systems Inc. Greenbelt, Greenbelt, United States, Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, Qiongyu Huang, University of Maryland College Park, College Park, MD, United States, Sumalika Biswas, Smithsonian Conservation Biology Institute, Front Royal, United States and John R Townshend, University of Maryland, Geographical Sciences, College Park, MD, United States
The research of the Antarctic ice shelf movement monitoring based on extreme environment wireless sensor network observation platform (353970)
Xiuhong Li and Meiying Sun, State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University;Joint Center for Global Change Studies, Beijing, China

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