Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …

Geometric registration is often an accuracy assurance for most remote sensing image
processing and analysis, such as image mosaicking, image fusion, and time-series analysis …

The Copernicus Sentinel-2 program now provides multispectral images at a global scale
with a high revisit rate. In this paper we explore the usage of convolutional neural networks …

Ecosystem degradation and decline are central issues that urgently require resolution within
global environmental protection efforts. Accordingly, accurately analyzing the spatiotemporal …

Measuring terrain deformation over several spatial and temporal scales is relevant for many
applications in Earth Sciences (ie active faults, volcanoes, landslides or glaciers …

Forest growing stem volume (GSV) reflects the richness of forest resources as well as the
quality of forest ecosystems. Remote sensing technology enables robust and efficient GSV …

The coregistration of optical and synthetic aperture radar (SAR) imageries is the bottleneck
in exploring the complementary information from the two multimodal datasets. The difficulties …

This paper discusses change detection in SAR time-series. First, several statistical
properties of the coefficient of variation highlight its pertinence for change detection …

The registration of multiresolution optical remote sensing images has been widely used in
image fusion, change detection, and image stitching. However, traditional registration …

Industrial activities induce various impacts on ecosystems that influence species richness
and distribution. An effective way to assess the resulting impacts on biodiversity lies in …