R
Rachid Lhissou
Researcher at Institut national de la recherche scientifique
Publications - 31
Citations - 495
Rachid Lhissou is an academic researcher from Institut national de la recherche scientifique. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 8, co-authored 20 publications receiving 291 citations. Previous affiliations of Rachid Lhissou include Université du Québec.
Papers
More filters
Journal ArticleDOI
Comparison of Landsat-8, ASTER and Sentinel 1 satellite remote sensing data in automatic lineaments extraction: A case study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas
Zakaria Adiri,Abderrazak El Harti,Amine Jellouli,Rachid Lhissou,Lhou Maacha,Mohamed Azmi,Mohamed Zouhair,El Mostafa Bachaoui +7 more
TL;DR: In this article, the authors compared the performance of ASTER, Landsat-8 and Sentinel 1 data sensors in automatic lineament extraction using a fully automatic approach consisting of a combination of edge detection algorithm and line-linking algorithm.
Journal ArticleDOI
Spatiotemporal monitoring of soil salinization in irrigated Tadla Plain (Morocco) using satellite spectral indices
Abderrazak El Harti,Rachid Lhissou,Karem Chokmani,Jamal-eddine Ouzemou,Mohamed Hassouna,El Mostafa Bachaoui,Abderrahmene El Ghmari +6 more
TL;DR: The times-series of salinity maps produced over the Tadla plain using the proposed method show that salinity is decreasing in intensity and progressively increasing in spatial extent, over the 2000–2013 period, which resulted in a decrease in agricultural activities in the southwestern part of the perimeter.
Journal ArticleDOI
Flood risk mapping for direct damage to residential buildings in Quebec, Canada
TL;DR: In this article, a probabilistic approach for flood risk assessment in a reach of the Richelieu River, south of Saint-Jean-Sur-Richelieu, Quebec, Canada is presented.
Journal ArticleDOI
Crop type mapping from pansharpened Landsat 8 NDVI data: A case of a highly fragmented and intensive agricultural system
Jamal-eddine Ouzemou,Abderrazak El Harti,Rachid Lhissou,Ali El Moujahid,Naima Bouch,Rabii El Ouazzani,El Mostafa Bachaoui,Abderrahmene El Ghmari +7 more
TL;DR: In this article, the authors used a pan-sharpened OLI NDVI data coupled with machine learning classifiers for mapping different crops in irrigated, very fragmented and heterogeneous agricultural landscape.
Journal ArticleDOI
Recent advances in the use of public domain satellite imagery for mineral exploration: A review of Landsat-8 and Sentinel-2 applications
TL;DR: In this article, the authors provide a comprehensive review of the use of the Landsat-8 and Sentinel-2 multispectral sensors in mineral exploration and conclude that Landsat8 is by far the more popular sensor in mining applications.