International Society for Photogrammetry and Remote Sensing

Developing countries must submit forest reference emission levels (FRELs) to the UNFCCC to receive incentives for REDD+ activities (e.g. reducing emissions from deforestation/forest degradation, sustainable management of forests, forest carbon stock conservation/enhancement). These FRELs are generated based on historical CO2 emissions in the land...

Soil moisture (SM) plays a key role in many environmental processes and has a high spatial and temporal variability. Collecting sample SM data through field surveys (e.g. for validation of remote sensing-derived products) can be very expensive and time consuming if a study area is large, and producing accurate SM maps from the sample point data is...

We developed a method for mapping residential areas using freely available satellite imagery. The resultant residential area map can be used for risk assessment (e.g. to estimate the population living in a flood-prone area). Our method can be applied for flood risk assessment in other watersheds in the future.

This paper demonstrates the importance of considering scale issues when estimating the accuracy of land use/land cover maps, particularly when satellite images having different spatial resolutions (i.e. pixel sizes) are used in combination to generate the land use/land cover maps. The results are important for creators and users of these types of...

This study evaluated the effects of image pansharpening on Vegetation Indices (VIs) in an agricultural area of Thailand, and found that pansharpening was able to downscale single-date and multi-temporal VI data without introducing significant distortions. The downscaled (15m resolution) VI values can be used for estimating above-ground biomass...