This working group intends to provide a platform for the community to exchange the latest findings (e.g., new approaches to multi-source remote sensing, that include biophysical, social and economic aspects land use and management, better interpretation of RS products for land use and land management, “knowledge gaps” or “land use and management data policy gaps”) in the land use/cover mapping field in the context of remotely sensed big data. On the one hand, the land use data requirement from LSS communities can be shared with RS scientists; on the other hand, the LSS scientists can be informed about the most recent progresses in land use mapping in this platform. With ongoing development in remote sensing technology as well as the improvement of mapping algorithms, a set of national and global scale land cover/use products with higher spatial and temporal resolutions have been developed and validated to address this gap between LSS and RS. We welcome any working group members whose work is related to the application of remote sensing within land system sciences, including multi-sensor, multi-resolution, multi-temporal remote sensing analysis, and specific case studies in different regions of the world.
The main goal of this working group is to support land system science by using new advances in the new remote sensing era and to close the gap between LSS and RS. The specific objectives of this Working Group include:
GLP Themes: Telecoupling of land use systems, Land management systems
GLP Methods: Remote Sensing
Event
This advanced-level training will focus on using remote sensing observations from Landsat 8 and 9, Sentinel-2, and Sentinel-3 for assessing water quality parameters, including chlorophyll-a concentration, turbidity, and Total Suspended Solids (TSS) in inland lakes.
Event
The Space Week Nordeste 2023 will be an event that will gather students, researchers, industry members, and curious people about aerospace science and technology in only one place – the city of Fortaleza, Ceará. During Space Week Nordeste 2023, scientists will present the results of their developing projects and exhibit what is most modern within the space science area.
Event
This free training from ARSET will provide attendees an overview of machine learning in regards to Earth Science, and how to apply these algorithms and techniques to remote sensing data in a meaningful way. Takes place on April 20, 27 and May 4 in 3 1.5-hour sessions. ARSET's Fundamentals of Remote Sensing online training is a prerequisite to this course. Also available in Spanish.
Institute of Geographic Sciences and Natural...
China
Tsinghua University
China
Lund University
Sweden
Federal Polytechnic, Auchi
Nigeria
China University of Mining and Technology
China
Council for Agricultural Research and Economics
Italy
Humboldt-University Berlin
Germany
RTI International
United States
University of Wisconsin-Madison
United States
National Institute for Space Research
Brazil
Department of Agriculture, Food, Environment and...
Italy
National University of Singapore
Singapore
Wageningen University & Research
Netherlands
University of Maryland, Baltimore County
United States
Azienda Agricola "DORA" di Vincenza...
Italy
Ministry for the Environment
New Zealand
Ain Shams University
Egypt
European Space Agency - Earth Observation,...
Italy
NITIDAE
France
ESA Climate Office/Future Earth Secretariat
United Kingdom
Wyss Academy for Nature, University of Bern
Switzerland
Michigan State University
United States
Cornell University
United States
Humboldt-Universität zu Berlin
Germany
CIRAD - UMR TETIS
France
Virginia Tech
United States
Utrecht University
Netherlands
VU University Amsterdam
Netherlands
Chinese Academy of Sciences, Institute of...
China
Agriculture and Agri-Food Canada
Canada
Lanzhou University, China
China
University of New South Wales
Australia
University of Lyon
France
Wollega University
Ethiopia
University of Texas, Austin
United States
State Key Laboratory of Desert and Oasis Ecology...
China
University of Johannesburg
South Africa
Niger Delta University
Nigeria
University of Lagos
Nigeria
Kaduna State University, Kafanchan Campus, Kaduna...
Nigeria
Norwegian Institute for Nature Research - NINA
Norway
Cropin AI Lab
India
CANEUS International
Canada
Gettysburg College
United States
NASA
United States
Kerala State Disaster Management Authority (KSDMA)
India
University of Wisconsin-Madison
United States
WWF-US
United States
UCLouvain
Belgium
University of Edinburgh
United Kingdom
Humboldt-Universität zu Berlin
Germany
McGill University
Canada
Dr YSP University of Horticulture and Forestry
India
Indiana University
United States
University of Richmond
United States
Center for Global Change and Earth Observations (...
United States
Central University of Jharkhand, Brambe, India
India
VU University Amsterdam
Netherlands
Institute of Geographic Sciences and Natural...
China
Kent State University
United States
Poznan University of Life Sciences, Faculty of...
Poland
INTA
Argentina