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Marie Weiss
Marie Weiss
INRAE
Verified email at inrae.fr
Title
Cited by
Year
HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022
K Yan, J Wang, R Peng, K Yang, X Chen, G Yin, J Dong, M Weiss, J Pu, ...
Earth System Science Data 16 (3), 1601-1622, 2024
12024
Multimodel–multidata simulations for mapping evapotranspiration and its uncertainty of estimation from remote sensing data
A Olioso, S Mwangi, H Desrutins, J Sobrino, D Skoković, S Carrière, ...
EGU24, 2024
2024
Vegetation canopy water estimation from optical satellite observations
H Ma, M Weiss, D Malik, B Berthelot, M Yebra, A Mialon, J Zeng, R Nolan, ...
EGU24, 2024
2024
Daily monitoring of Effective Green Area Index and Vegetation Chlorophyll Content from continuous acquisitions of a multi-band spectrometer over winter wheat
W Li, M Weiss, S Jay, S Wei, N Zhao, A Comar, R Lopez-Lozano, ...
Remote Sensing of Environment 300, 113883, 2024
52024
HiQ-LAI: A High-Quality Reprocessed MODIS LAI Dataset with Better Spatio-temporal Consistency from 2000 to 2022
K Yan, J Wang, R Peng, K Yang, X Chen, G Yin, J Dong, M Weiss, J Pu, ...
Earth System Science Data Discussions 2023, 1-32, 2023
22023
GEOV2: improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km copernicus global land products
A Verger, J Sánchez-Zapero, M Weiss, A Descals, F Camacho, R Lacaze, ...
International Journal of Applied Earth Observation and Geoinformation 123 …, 2023
72023
LPVE23-10 YEARS OF SMOS PASSIVE MICROWAVE VEGETATION OPACITY STUDY
A Mialon, N Rodriguez-Fernandez, C Salazar, S Boitard, A Bouvet, ...
LPVE23-WORKSHOP ON LAND PRODUCT VALIDATION AND EVOLUTION, 2023
2023
remote sensing data for digital soil mapping in French research—a review
AC Richer-de-Forges, Q Chen, N Baghdadi, S Chen, C Gomez, ...
Remote Sensing 15 (12), 3070, 2023
112023
Pré-traitement des donnés satellite & produits pour les données optiques
M Weiss
Télédétection et Economie, 2023
2023
VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation
S Madec, K Irfan, K Velumani, F Baret, E David, G Daubige, LB Samatan, ...
Scientific Data 10 (1), 302, 2023
102023
Long-term time series of global vegetation products: challenges and lessons learnt from AVHRR to Sentinel-3
A Verger, M Weiss, A Descals, F Camacho, J Sánchez-Zapero, R Lacaze, ...
EGU General Assembly Conference Abstracts, EGU-16447, 2023
2023
Crop phenology modelling using proximal and satellite sensor data
A Gobin, AHM Sallah, Y Curnel, C Delvoye, M Weiss, J Wellens, I Piccard, ...
Remote Sensing 15 (8), 2090, 2023
102023
Improving the MODIS LAI compositing using prior time-series information
J Pu, K Yan, S Gao, Y Zhang, T Park, X Sun, M Weiss, Y Knyazikhin, ...
Remote Sensing of Environment 287, 113493, 2023
82023
Mapping crop leaf area index and canopy chlorophyll content using UAV multispectral imagery: Impacts of illuminations and distribution of input variables
W Li, M Weiss, B Garric, L Champolivier, J Jiang, W Wu, F Baret
Remote sensing 15 (6), 1539, 2023
52023
Improving continuous monitoring of evapotranspiration by combining data from future thermal infrared missions
A Olioso, S Carrière, P Gamet, E Delogu, M Weiss, P Guillevic, J Demarty, ...
2023
TRISHNA Level-2 products: Daily evapotranspiration and water stress
A Olioso, G Boulet, J Demarty, H Desrutins, J Etchanchu, N Farhani, T Hu, ...
2023
Evapotranspiration mapping from remote sensing data: Uncertainties and ensemble estimates based on multimodel–multidata simulations
A Olioso, A Allies, H Desrutins, S Carrière, N Farhani, J Sobrino, ...
12023
SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods
M Serouart, S Madec, E David, K Velumani, RL Lozano, M Weiss, F Baret
Plant Phenomics, 2022
222022
Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework
J Wang, R Lopez-Lozano, M Weiss, S Buis, W Li, S Liu, F Baret, J Zhang
Remote Sensing of Environment 278, 113085, 2022
212022
Effective GAI is best estimated from reflectance observations as compared to GAI and LAI: Demonstration for wheat and maize crops based on 3D radiative transfer simulations
J Jiang, M Weiss, S Liu, F Baret
Field Crops Research 283, 108538, 2022
132022
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