New Contributions of Remote Sensing to Land System Science in the Big Data Era

Short Description

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.

Goals and Objectives

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:

To explore how the advances in remote sensing field (e.g., new/big data, new algorithms) can promote land system sciences through new knowledge finding and data mining approaches;
To propose new theory and methodology from land cover mapping to land use mapping by making full use of different satellite data and methods;
To foster and share new data and knowledge of land cover and land use changes, e.g., land management, by using unprecedented remote sensing datasets from multiple sensors and platforms;
To identify and fill the gaps between the land system science (LSS) and remote sensing (RS) communities (e.g., NASA/LCLUC);
To use this working group as a platform to engage a wider community, especially young scientists, from different disciplines into the GLP.

GLP Methods: Remote Sensing

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Related Information

Event

December 11, 2018

Training: Remote Sensing for Conservation & Biodiversity

Tuesday, January 22, 2019 (All day) to Thursday, January 24, 2019 (All day)

The NASA Applied Remote Sensing Training Program (ARSET) is offering a free online training series to introduce participants to the use of satellite data for conservation and biodiversity applications. The series will highlight specific projects that have successfully used satellite data. Examples include monitoring chimpanzee habitat loss, decreasing whale mortality, detecting penguins, monitoring wildfires, and biodiversity observation networks.

Training URL