Time series analysis of InSAR data has emerged as an important tool for monitoring and
measuring the displacement of the Earth's surface. Changes in the Earth's surface can result …

Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …

Anthropogenic activities have substantially changed natural landscapes, especially in
regions which are extremely affected by population growth and climate change such as East …

Accurate mapping of urban impervious surfaces is important but challenging due to the
diversity of urban land covers. This study presents an effort to synergistically combine optical …

We propose a novel approach for rapid segmentation of flooded buildings by fusing
multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural …

Over the past two decades, the time-series interferometric synthetic aperture radar (InSAR)
technique has been developed to estimate surface deformation parameters. Because of its …

TerraSAR-X add-on for digital elevation measurement (TanDEM-X) is a German Earth
observation mission collecting a total of two global coverages of very high resolution (VHR) …

Integrating synthetic aperture radar (SAR) and optical data to improve urban land cover
classification has been identified as a promising approach. However, which integration level …

Periodic monitoring and multi-scale characterization of urban sprawl is essential for
improving urban planning and development. However, historical sprawl analysis is not well …

Rubber (Hevea brasiliensis) is a tropical tree crop cultivated for the industrial production of
latex. The trees are tall, perennial and long-lived, and are typically grown in plantations. In …