Urban morpho-types classification from SPOT-6/7 imagery and Sentinel-2 time series

In strong inversion operation, a substantial inversion charge layer exists in the channel which allows the source and drain regions to strongly influence the surface

The aim of this paper is to analyze the potential of the simulated datasets provided by the airborne hyperspectral imagery in mapping urban impervious surfaces using an

Mean values and confidence intervals (95%) of each predictive variable in the aquatic bed model for each land cover class in the training sample (2005).. Mean values and

The aim of the study is to compare and assess the efficiency of conventional hyperspectral techniques (dimension reduction, learning and classification methods) to classify

101 - 54602 Villers lès Nancy Cedex France Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex France Unité de recherche INRIA Rhône-Alpes

This papers aims at assessing the potential of multi-sensor structural biophysical variables (LAI, FAPAR, FCOVER) for land cover and crop type classification at high spatial (20 m)

Contrary to other works that focus on NDVI time series to describe vegetation phenology [50–52], the proposed methodology enlarges to study other VIs such as: NBR and NDRE1. The use

In this study, a statistical model is proposed to identify grassland management practices using time series of a spec- tral vegetation index (NDVI) with high temporal