A5058507841- Remote Sensing in Agriculture
- Calibration and Measurement Techniques
- Remote Sensing and Land Use
- Atmospheric aerosols and clouds
- Cryospheric studies and observations
- Satellite Image Processing and Photogrammetry
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Remote-Sensing Image Classification
- Atmospheric Ozone and Climate
- Climate change and permafrost
- Infrared Target Detection Methodologies
- Spacecraft Design and Technology
- Geophysics and Gravity Measurements
- Hydrology and Watershed Management Studies
- Isotope Analysis in Ecology
- Air Quality Monitoring and Forecasting
- Geology and Paleoclimatology Research
- Soil and Environmental Studies
- Advanced Image Fusion Techniques
- Soil Moisture and Remote Sensing
- Plant Ecology and Soil Science
Centre National d'Études Spatiales
2011-2023
Institut de Recherche pour le Développement
2014-2023
Centre National de la Recherche Scientifique
2014-2023
Centre d'Études Spatiales de la Biosphère
2014-2023
Université de Toulouse
2013-2023
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2021-2023
Université Toulouse III - Paul Sabatier
2013-2023
National Space Agency
2016
Idhelio (France)
2016
Institut National de la Recherche Agronomique du Niger
2015
The convergence of new EO data flows, methodological developments and cloud computing infrastructure calls for a paradigm shift in operational agriculture monitoring. Copernicus Sentinel-2 mission providing systematic 5-day revisit cycle free access opens completely avenue near real-time crop specific monitoring at parcel level over large countries. This research investigated the feasibility to propose methods develop an open source system able generate, national scale, cloud-free...
Crop area extent estimates and crop type maps provide crucial information for agricultural monitoring management. Remote sensing imagery in general and, more specifically, high temporal spatial resolution data as the ones which will be available with upcoming systems, such Sentinel-2, constitute a major asset this kind of application. The goal paper is to assess what state-of-the-art supervised classification methods can applied multi-temporal optical produce accurate at global scale. Five...
The correction of atmospheric effects is one the preliminary steps required to make quantitative use time series high resolution images from optical remote sensing satellites. An accurate requires good knowledge aerosol thickness (AOT) and type. As a first step, this study compares performances two kinds AOT estimation methods applied FormoSat-2 LandSat images: multi-spectral method that assumes constant relationship between surface reflectance measurements multi-temporal reflectances are...
The Sentinel-2 satellite mission, developed by the European Space Agency (ESA) for Copernicus program of Union, provides repetitive multi-spectral observations all Earth land surfaces at a high resolution. Level 2A product is basic requested many users: it surface reflectance after atmospheric correction, with cloud and shadow mask. cloud/shadow mask key element to enable an automatic processing data, therefore, its performances must be accurately validated. To validate operational mask,...
The Atmospheric Correction Inter-comparison eXercise (ACIX) is an international initiative with the aim to analyse Surface Reflectance (SR) products of various state-of-the-art atmospheric correction (AC) processors. Aerosol Optical Thickness (AOT) and Water Vapour (WV) are also examined in ACIX as additional outputs AC processing. In this paper, general framework discussed; special mention made motivation initiate experiment, inter-comparison protocol, principal results. free open every...
Abstract. The seasonal snow in the Pyrenees is critical for hydropower production, crop irrigation and tourism France, Spain Andorra. Complementary to situ observations, satellite remote sensing useful monitor effect of climate on dynamics. MODIS daily products (Terra/MOD10A1 Aqua/MYD10A1) are widely used generate cover climatologies, yet it preferable assess their accuracies prior use. Here, we use both observations data evaluate Pyrenees. First, compare depth (SD) water equivalent (SWE)...
Abstract. The Theia Snow collection routinely provides high-resolution maps of the snow-covered area from Sentinel-2 and Landsat-8 observations. covers selected areas worldwide, including main mountain regions in western Europe (e.g. Alps, Pyrenees) High Atlas Morocco. Each product contains four classes: snow, no cloud data. We present algorithm to generate snow products provide an evaluation accuracy using situ depth measurements, higher-resolution visual control. results suggest that is...
Cloud cover is a major limiting factor in exploiting time-series data acquired by optical spaceborne remote sensing sensors. Multiple methods have been developed to address the problem of cloud detection satellite imagery and number masking algorithms for sensors but very few studies carried out quantitative intercomparison state-of-the-art this domain. This paper summarizes results first Masking Intercomparison eXercise (CMIX) conducted within Committee Earth Observation Satellites (CEOS)...
Since 18 December 2004, the PARASOL satellite is a member of so-called A-train atmospheric orbital observatory, flying together with Aqua, Aura, CALIPSO, CLOUDSAT, and OCO satellites. These satellites combine for first time full suite instruments observing aerosols clouds, using passive radiometer complementarily active lidar radar sounders. The payload extensively derived from instrument developed POLDER programs that performs measurements bidirectionality polarization very wide...
The exploitation of new high revisit frequency satellite observations is an important opportunity for agricultural applications. Sentinel-2 Agriculture project S2Agri (http://www.esa-sen2agri.org/SitePages/Home.aspx) designed to develop, demonstrate and facilitate the time series contribution EO component agriculture monitoring many systems across globe. In framework this project, article studies construction a dynamic cropland mask. This mask consists binary...
Monitoring of water resources and a better understanding the eco-hydrological processes governing their dynamics are necessary to anticipate develop measures adapt climate water-use changes. Focusing on this aim, research project carried out within framework French–Moroccan cooperation demonstrated how remote sensing can help improve monitoring modelling in semi-arid Mediterranean regions. The study area is Tensift Basin located near Marrakech (Morocco) – typical Southern catchment with...
This document provides the theoretical basis that hides behind modules of MAJA processor. stands for MACCS-ATCOR Joint Algorithm, where MACCS was Multi-Temporal Atmospheric Correction and Cloud Screening software, developed by CNES CESBIO, ATCOR is soft- ware DLR. based on architecture includes come from AT- COR. The processor applicable to time series Sentinel-2, Landsat, Venµs, Formosat satellites. This Algorithmic Theoretical Basis Document (ATBD) a scientific description methods...
POLDER is a CNES instrument on board NASDA's ADEOS polar orbiting satellite, which was successfully launched in August 1996. On October 30, 1996, entered its nominal acquisition phase and worked perfectly until ADEOS's early end of service June 1997. multispectral imaging radiometer/polarimeter designed to collect global repetitive observations the solar radiation reflected by Earth/atmosphere system, with wide field view (2400 km) moderate geometric resolution (6 km). The concept based...
Multi-temporal images acquired at high spatial and temporal resolution are an important tool for detecting change analyzing trends, especially in agricultural applications. However, to insure a reliable use of this kind data, rigorous radiometric normalization step is required. Normalization can be addressed by performing atmospheric correction each image the time series. The main problem difficulty obtaining characterization given acquisition date. In paper, we investigate whether relative...
The objective of this study was to analyze the sensitivity radar signals in X-band irrigated grassland conditions. backscattered were analyzed according soil moisture and vegetation parameters using linear regression models. A time series (TerraSAR-X COSMO-SkyMed) optical (SPOT LANDSAT) images acquired at a high temporal frequency 2013 over small agricultural region southeastern France. Ground measurements conducted simultaneously with satellite data acquisitions during several growing...