Monitoring grassland plant communities is crucial for understanding and managing biodiversity. Previous studies indicate that mapping these natural habitats from single-date remotely sensed imagery remains challenging because some have similar physiognomy. The recently launched Sentinel-2 satellites are a promising opportunity monitoring vegetation. This article assesses the advantages of time-series discriminating in wet grasslands. An annual was compared respectively to single-band...

Airborne LiDAR technology is widely used in archaeology and over the past decade has emerged as an accurate tool to describe anthropomorphic landforms. Archaeological features are traditionally emphasised on a LiDAR-derived Digital Terrain Model (DTM) using multiple Visualisation Techniques (VTs), occasionally aided by automated feature detection or classification techniques. Such approach offers limited results when applied heterogeneous structures (different sizes, morphologies), which...

While wetland ecosystem services are widely recognized, the lack of fine-scale national inventories prevents successful implementation conservation policies. Wetlands difficult to map due their complex fine-grained spatial pattern and fuzzy boundaries. However, increasing amount open high-spatial-resolution remote sensing data accurately georeferenced field archives, as well progress in artificial intelligence (AI), provide opportunities for mapping. The objective this study was wetlands...

Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an viewpoint, the presence type of influences transport pollutants to water resources. methodological characterizing spatio-temporal dynamics land use at field scale challenging due diversity farming strategies practices winter. The objective this study was evaluate respective advantages Sentinel optical SAR time-series identify To end, Sentinel-1 -2 were classified using...

Independent component analysis (ICA) is a multivariate data process largely studied these last years in the signal processing community for blind source separation. This paper proposes to show interest of ICA as tool unsupervised hyperspectral images. The commonly used principal (PCA) mean square optimal projection gaussian leading uncorrelated components by using second order statistics. rather uses higher statistics and leads independent components, stronger statistical assumption...

Remotely sensed data are widely used to identify, delineate, and characterize wetlands. Optical provide interesting information inventory vegetation agricultural practices in wetlands but limited cloud-free periods. For this reason it is not possible precisely delineate the extent of saturated areas as well water cycles levels these with passive remote sensing techniques. The objective article evaluate fully polarimetric RADARSAT-2 time-series datasets identify locate seasonal dynamics To...

Abstract The open access availability of satellite images from new sensors characterized by various spatial and temporal resolutions provides challenges possibilities for biodiversity conservation. Methodologies aiming at characterizing vegetation type, phenology, function can now benefit metric resolution imagery combined with an improved revisit capability. Here, we test hybrid methods data fusion, using very high ( VHSR ) in different complex landscapes encompassing three French...

Monitoring crops at a fine scale is critical because it provides information crucial for assessing the influence of increased food production on sustainable management agricultural landscapes. We assessed potential synthetic aperture radar (SAR) Sentinel-1 (S-1) and optical Sentinel-2 (S-2) images to derive crop biophysical parameters wheat rapeseed in Brittany, France. generated dataset 29 features, including spectral bands vegetation indices derived from S-2 images, backscattering...

The detection of changes affecting continental surfaces has important applications in hydrological, meteorological and climatic modelling. Using remote sensing data, numerous change indices have already been proposed. Previous work showed the interest combining several these to improve performance, using Dempster–Shafer evidence theory framework. This study analyses performance different their combination cases application: forest logging either pine or mixed forest, winter vegetation cover...

Abstract Aims The mapping and monitoring of natural vegetation is a challenging but important objective for environmental management. Although remote sensing has been used to map plant communities several years, the maps produced are not sufficiently accurate meet management requirements. This can be explained by cumulative effects floristic spectral uncertainty. this study was accurately grassland using comprehensive fuzzy approach in order address Location Sub‐brackish wet grasslands,...

Nearshore areas around the world contain a wide variety of archeological structures, including prehistoric remains submerged by sea level rise during Holocene glacial retreat. While natural processes, such as erosion, rising level, and exceptional climatic events have always threatened integrity this cultural heritage, importance protecting them is becoming increasingly critical with expanding effects global climate change human activities. Aerial archaeology, non-invasive technique,...

Groundwater has become a major source of irrigation in the past few decades India, but as it comes from millions individual borewells owned by smallholders irrigating small fields, is difficult to quantify actual irrigated area across seasons and years. This study’s main goal was monitor seasonal cropland using multiple optical satellite images. The proposed research performed over Berambadi watershed, an experimental site southern peninsular India. While cloud cover during crop growth...