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Asia-Pacific Network for Global Change Research

Asia-Pacific Network for Global Change Research

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Showing 391 – 400 of 744 results

Project • CBA2015-04NSY-Avtar

Developing a training module to monitor forest cover and deforestation using advanced remote sensing techniques under UN-CECAR framework in support of REDD+ MRV system

Photo by Joseph Chan on Unsplash

Project • CBA2015-08NSY-Sharifi

Integrated, resilience-based planning for climate change mitigation and adaptation in Asia-Pacific cities

Project • CAF2015-RR16-NMY-Pham, CAF2016-RR11-CMY-Pham

Utilizing Geospatial Technology to Assess Health Vulnerability to Climate Change for Rural Population in Viet Nam and the Philippines

Project • CAF2015-RR17-NMY-Arifwidodo, CAF2016-RR12-CMY-Arifwidodo

Understanding Urban Heat Island Effect and Its Implications to Climate Change Adaptation Strategies in Major Southeast Asian Cities

Project • CAF2015-RR11-NMY-Siswanto, CAF2016-RR06-CMY-Siswanto, CAF2017-02CMY-Siswanto

Developing high spatiotemporal resolution datasets of low-trophic level aquatic organism and land-use/land-cover in the Asia-Pacific region: toward an integrated framework for assessing vulnerability, adaptation, and mitigation of the Asia-Pacific ecosystems to global climate change

Project • CAF2015-RR13-NMY-Dautova, CAF2016-RR08-CMY-Dautova

Developing life-supporting marine ecosystems along the East Asia’s coasts

Project • CAF2015-RR14-NMY-Odeh, CAF2016-RR14-CMY-Suvdantsetseg (Odeh)

Monitoring grassland degradation in North/Central Asia: Deciphering the impacts of climate change and government policies at different spatial-temporal scales using remote sensing and expert knowledge

Peer-reviewed publication • 2015

The spatial distribution of commuting CO2 emissions and the influential factors: A case study in Xi’an, China

Peer-reviewed publication • 2015

River management system development in Asia based on Data Integration and Analysis System (DIAS) under GEOSS

Peer-reviewed publication • 2015

Application of a normalized difference impervious index (NDII) to extract urban impervious surface features based on Landsat TM images