This Special Issue invites articles on the use of remote sensing and geospatial technologies focusing on South/Southeast Asia in the in the following LC/LUC areas:

Feeding a growing population while reducing negative environmental impacts is one of the greatest challenges of the coming decades. We show that microsatellite data can be used to detect the impact of sustainable intensification interventions at large scales and to target the fields that would benefit the most, thereby doubling yield gains. Our work reveals that satellite

data provide a scalable approach to sustainably increase food production.

In the global South, a rush of large-scale land acquisitions (LSLAs) is occurring by governments and transnational and domestic investors seeking to secure access to land in developing countries to produce food, biofuels, and other agricultural commodities. We conceptualize agricultural commodity production and land-acquisition processes associated with LSLAs as catalyzing causal pathways of direct and indirect land-use changes. Using the case of economic land concessions (ELCs) in Cambodia, we employed a novel synthesis research approach combining remote sensing, spatio-temporal statistics, and case study meta-analysis to construct archetypical pathways of the causes, timing, and consequences of ELC-driven land change. 

Hydropower dam information such as construction and completion timings is often incomplete and missing in existing dam databases, and the hydropower dam's adjacency impact distance, which is important to the surrounding environment, is also lacking for many dams. In this study, we developed a new remote sensing approach to specifically determine the timings and to assess the influencing distance on land use and land cover at the above and below dam areas. The data determined from this study may fill important information gaps in existing dam databases, and the approach developed in this case may be generalized to the other watersheds of
the world, where hydro-power dams exist.

The humid highlands of the Galapagos are the islands' most biologically productive regions and a key habitat for endemic animal and plant species. These areas are crucial for the region's food security and for the control of invasive plants, but little is known about the spatial distribution of its land cover. We generated a baseline high-resolution land cover map of the agricultural zones and their surrounding protected areas. We combined the high spatial resolution of Planet-Scope images with the high spectral resolution of Sentinel-2 images in an object-based classification using a Random Forest algorithm. The produced dataset is designed to suit the needs of practitioners of both conservation and agriculture and aims to foster collaboration between the two areas.

• Disturbance  index allows for standardization  detection of  droughts and hurricane damages.
• Hurricanes  Maria caused significant disturbance across 50% of Puerto  Rico (4549 sq km)
• Gradual recovery started about 2.5 months after hurricane Maria hit