Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among o...
While the GEOBIA paradigm has led to significant improvements in the analysis and understanding of remote sensing images thanks to the processing of objects (i.e. regions) instead of pixels, it still requires to identify the objects (or segment the image into regions) before applying rules for classifying the extracted objects. This segmentation st...
In order to understand the dynamic of the (sub)urbanisation and so, to quantify the anthropogenic effects of the rapid growth of tropical cities, it is crucial to find and apply valuable methods. In this contribution, the transferability of the Rüdisser et al. (2012) «Distance to Nature» hemeroby assessment method to the landscape surrounding the c...
Apparue dans les années 1970, l’approche pixel par pixel a pendant longtemps été utilisée comme unique méthode de cartographie de l’occupation du sol à partir des images-satellites.. Depuis une décennie, une nouvelle approche de cartographie a vu le jour avec l’avènement des images satellitaires à très hautes résolution spatiales. Pour traiter ces ...
Published in Journal of Applied Remote Sensing
We present a framework of fast machine learning algorithms in the context of large-sized hyperspectral images classification from the theoretical to a practical viewpoint. In particular, we assess the performance of random forest (RF), rotation forest (RoF), and extreme learning machine (ELM) and the ensembles of RF and ELM. These classifiers are a...
Moderate Resolution Imaging Spectro-radiometer (MODIS) time-series Normalized Differential Vegetation Index (NDVI) products are regularly used for vegetation monitoring missions and climate change analysis. However, satellite observation is affected by the atmospheric condition, cloud state and shadows introducing noise in the data. MODIS state fla...
Published in Journal of Applied Remote Sensing
In the Wadi Biskra arid and semiarid areas, sustainable development is restricted by land degradation processes such as secondary salinization of soils. Being an important high-quality date production region of Algeria, this area needs continuous monitoring of desertification indicators, hence highly exposed to climate-related risks. Given the limi...
Agricultural practices are major drivers of water flows in cultivated landscapes. Land Covermapping have a strong impact onto run off and soil erosion at the landscape and watershedscales. In practice, there is a need for agricultural land cover mapping at both scales thatcould be integrated into hydrological models to better understand the conside...
Aim of the study: Acacia dealbata is an alien invasive species that is widely spread in Portugal. The main goal of this study was to produce an accurate and detailed map for this invasive species using ASTER multispectral imagery.Area of study: The central-eastern zone of Portugal was used as study area. This whole area is represented in an ASTER s...
