| Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review G Lassalle Science of The Total Environment 788, 147758, 2021 | 77 | 2021 |
| Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery G Lassalle, MP Ferreira, LEC La Rosa, CR de Souza Filho ISPRS Journal of Photogrammetry and Remote Sensing 189, 220-235, 2022 | 65 | 2022 |
| Monitoring oil contamination in vegetated areas with optical remote sensing: A comprehensive review G Lassalle, S Fabre, A Credoz, D Dubucq, A Elger Journal of hazardous materials 393, 122427, 2020 | 54 | 2020 |
| Assessing soil contamination due to oil and gas production using vegetation hyperspectral reflectance G Lassalle, A Credoz, R Hédacq, S Fabre, D Dubucq, A Elger Environmental science & technology 52 (4), 1756-1764, 2018 | 52 | 2018 |
| Advances in multi-and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery G Lassalle, MP Ferreira, LEC La Rosa, RDPM Scafutto, ... ISPRS Journal of Photogrammetry and Remote Sensing 195, 298-312, 2023 | 39 | 2023 |
| Detection and discrimination of various oil-contaminated soils using vegetation reflectance G Lassalle, S Fabre, A Credoz, R Hédacq, P Borderies, G Bertoni, ... Science of the Total Environment 655, 1113-1124, 2019 | 32 | 2019 |
| Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties G Lassalle, S Fabre, A Credoz, R Hédacq, G Bertoni, D Dubucq, A Elger Journal of hazardous materials 377, 409-417, 2019 | 29 | 2019 |
| Mapping leaf metal content over industrial brownfields using airborne hyperspectral imaging and optimized vegetation indices G Lassalle, S Fabre, A Credoz, R Hédacq, D Dubucq, A Elger Scientific Reports 11 (1), 1-13, 2021 | 24 | 2021 |
| Toward quantifying oil contamination in vegetated areas using very high spatial and spectral resolution imagery G Lassalle, A Elger, A Credoz, R Hédacq, G Bertoni, D Dubucq, S Fabre Remote Sensing 11 (19), 2241, 2019 | 23 | 2019 |
| Estimating persistent oil contamination in tropical region using vegetation indices and random forest regression G Lassalle, A Credoz, R Hédacq, G Bertoni, D Dubucq, S Fabre, A Elger Ecotoxicology and environmental safety 184, 109654, 2019 | 20 | 2019 |
| Remote sensing reveals unprecedented sublethal impacts of a 40-year-old oil spill on mangroves G Lassalle, RDPM Scafutto, RA Lourenço, P Mazzafera, ... Environmental Pollution 331, 121859, 2023 | 18 | 2023 |
| Mapping plant species in a former industrial site using airborne hyperspectral and time series of sentinel-2 data sets R Gimenez, G Lassalle, A Elger, D Dubucq, A Credoz, S Fabre Remote Sensing 14 (15), 3633, 2022 | 17 | 2022 |
| Tracking canopy gaps in mangroves remotely using deep learning G Lassalle, CR de Souza Filho Remote Sensing in Ecology and Conservation, 2022 | 16 | 2022 |
| Recurrent arrival of oil spill remnants along the Brazilian coast: In situ long-term weathering of the largest spill in Brazil’s history RA Lourenço, G Lassalle, RDPM Scafutto, CR de Souza Filho Regional Studies in Marine Science 66, 103175, 2023 | 11 | 2023 |
| Hyperspectral signature analysis of three plant species to long-term hydrocarbon and heavy metal exposure G Lassalle, A Credoz, S Fabre, R Hédacq, D Dubucq, A Elger Earth Resources and Environmental Remote Sensing/GIS Applications VIII 10428 …, 2017 | 7 | 2017 |
| Exploitation of spectral and temporal information for mapping plant species in a former industrial site R Gimenez, G Lassalle, R Hédacq, A Elger, D Dubucq, A Credoz, ... ISPRS International Archives of the Photogrammetry, Remote Sensing and …, 2021 | 5 | 2021 |
| A multicriteria approach for assessing the recovery of soil functions following high-temperature remediation of hydrocarbons G Lassalle, V Gassend, G Michaudel, R Hédacq, C Weber, C Jennet, ... Science of the Total Environment 775, 145891, 2021 | 4 | 2021 |
| Mangrove mapping strategies using Google Earth Engine and Landsat-8 and Sentinel-2 imagery data F Rodrigues, CR de Souza Filho, R Del’Papa, M Scafutto, G Lassalle XX Simpósio Brasileiro de Sensoriamento Remoto 20 (156019), 2023 | 3 | 2023 |
| Distinguishing Carotene and Xanthophyll Contents in the Leaves of Riparian Forest Species by Applying Machine Learning Algorithms to Field Reflectance Data G Lassalle, S Fabre Advances in Remote Sensing for Forest Monitoring 1, 45-77, 2022 | 3 | 2022 |
| Remote Sensing of Oil in Vegetated Regions: An Overview of Recent Advances and Future Challenges Toward Operational Applications G Lassalle, S Fabre, A Credoz, D Dubucq, CR de Souza Filho IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing …, 2021 | 3 | 2021 |
Arnaud ElgerEcoLab, Université Paul Sabatier, ToulouseVerifierad e-postadress på univ-tlse3.fr