A5032476409- Calibration and Measurement Techniques
- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Infrared Target Detection Methodologies
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Building Energy and Comfort Optimization
- Remote Sensing and Land Use
- Atmospheric Ozone and Climate
- Satellite Image Processing and Photogrammetry
- Geochemistry and Geologic Mapping
- Atmospheric chemistry and aerosols
- Thermography and Photoacoustic Techniques
- Advanced Image Fusion Techniques
- Climate change and permafrost
- Planetary Science and Exploration
- Air Quality and Health Impacts
- Hydrocarbon exploration and reservoir analysis
- Spectroscopy and Chemometric Analyses
- Coal Properties and Utilization
- Impact of Light on Environment and Health
- Toxic Organic Pollutants Impact
- Optical Polarization and Ellipsometry
- Soil Geostatistics and Mapping
Université de Toulouse
2014-2023
Office National d'Études et de Recherches Aérospatiales
2007-2023
Laboratoire d'Optique Appliquée
2005
Defence Research and Development Canada
2002
Computer Emergency Response Team
1996-1997
Two reciprocal direct and inverse radiative transfer models dealing with hyperspectral remote sensing in the visible-to-shortwave-infrared spectral domain are described this paper. The first one, called COMANCHE, considers a flat heterogeneous ground scene, bidirectional reflectance effects, computes radiance hypercubes at sensor level. Trapping environment phenomena take into account through specific optimized Monte Carlo modules. algorithm, COCHISE, sensor-level image retrieves...
More and more, hyperspectral images are envisaged to improve the aerial reconnaissance capability of airborne systems, both for civilian military applications. To confirm hopes put in this new way imaging a scene, it is necessary develop systems allowing measurement spectral signatures objects interest real conditions, with high spatial resolutions. The purpose paper present design first in-flight results dual-band infrared spectro-imaging system called Sieleters. This has demonstrated...
A fully physical retrieval scheme for land surface emissivity spectra is presented, which applies to high spectral resolution infrared observations from satellite sensors. The spectrum represented with a suitably truncated Principal Component Analysis (PCA) transform and PCA scores are simultaneously retrieved temperature atmospheric parameters. methodology has been developed within the general framework of Optimal Estimation and, in this context, first based on representation spectrum....
A multiple-field-of-view (MFOV) lidar measurement and solution technique has been developed to exploit the retrievable particle extinction size information contained in multiple-scattering contributions aerosol returns. We describe proposed algorithm. The primary retrieved parameters are coefficient at wavelength effective diameter from which secondary products such as other wavelengths liquid-water content (LWC) of liquid-phase clouds can be derived. solutions compared with true values a...
This work analyses and solves for issues encountered when retrieving surface emissivity in LWIR (750 to 1250 cm(-1)) MWIR (2000 3500 bands under outdoor conditions. The Spectral Smoothness method, which takes advantage of high spectral resolution measurements solve temperature separation, has already proven its efficiency the domain, was applied an experimental campaign assess ability operate both domains. In band, directional behaviour is shown be a source systematic errors retrieved new...
Abstract To ensure confidence, measurements carried out by imaging radiometers mounted on satellites require robust validation using “fiducial quality” of the same in situ parameter. For surface temperature this is optimally measuring radiation emitted infrared region spectrum, collocated to that a satellite overpass. ocean temperatures are usually board ships sample large areas but for land and ice they typically deployed at defined geographical sites. It course critical associated...
Abstract Hydrocarbon leaks in oil and gas installations present Health, Safety Environmental risks. History of crisis management upstream has shown the value efficient accurate tools for quantifying gas-leak rate determining perimeter hazardous areas. In this context, Total initiated a multi-year R&D collaborative project designed to develop remote sensing technologies architectures detection, identification, quantification visualization event crisis. Total, ONERA – The French Aerospace...
In this paper, we focus on airborne hyperspectral imaging methodology to characterize particulate matter (PM) near industrial emission sources. Two short-term intensive campaigns were carried out in the vicinity of a refinery south France, September 2015 and February 2016. Different protocols situ PM measurements performed, at stack (flow rate offline chemical analysis) online measurement border (size distribution, concentration, chemistry aerosols). A multitemporal retrieve aerosol type,...
Durant ces dernières décennies, l'imagerie par télédétection aéroportée des milieux urbains reste un enjeu scientifique majeur. L'arrivée d'une nouvelle génération de caméras aéroportées permettant d'effectuer acquisitions à très haute résolution spatiale et possédant meilleur rapport signal sur bruit ouvre nouvelles perspectives pour extraire l'information environnements. En effet, la principale limitation plupart méthodes traitement images dans est due grande variété matériaux qui les...
SYSIPHE is an airborne hyperspectral imaging system, result of a cooperation between France (Onera and DGA) Norway (NEO FFI). It unique system by its spatial sampling -0.5m with 500m swath at ground height 2000m- combined wide spectral coverage -from 0.4μm to 11.5μm in the atmospheric transmission bands. Its infrared component, named SIELETERS, consists two <i>high étendue</i> static Fourier transform spectrometers, one for midwave longwave infrared. These spectrometers are closely similar...
SYSIPHE is an airborne hyperspectral imaging system covering all atmospheric transmission bands from 0.4μm to 11.5μm: visible, NIR, SWIR, MWIR and LWIR. The ground sampling distance 0.5m over a 500m swath, with higher resolution available in the visible NIR. system, developed by Onera Norsk Elektro Optikk, flown on Do-228 aircraft operated DLR. may also integrate real-time processing capability FFI post-processing chain, STAD, Onera. main information products are georeferenced images of...
The CAMCATT-AI4GEO extensive field experiment took place in Toulouse, a city the southwest of France, from 14th to 25th June 2021 (with complementary measurements performed on 6 September 2021). Its main objective was acquisition new reference dataset an urban site support development and validation data products future thermal infrared (TIR) satellite missions such as TRISHNA (CNES/ISRO), LSTM (ESA) SBG (NASA). With their high spatial (between 30-60m) temporal (2-3 days) resolutions, TIR...
POLDER is a CNES instrument on-board ADEOS polar orbiting satellite, which was successfully launched in August 1996. entered its nominal acquisition phase November 1996, and had been acquiring data till the loss of June 1997. spare model will be II 1999. This multispectral imaging radiometer/polarimeter designed to collect global repetitive observations solar radiation reflected by Earth/atmosphere system, with wide field view (2400 km) moderate geometric resolution (6 km). Due (around 50...
POLDER (polarization and directionality of the Earth reflectances) is a French instrument that will be flown on- board ADEOS (advanced earth observing satellite) polar orbiting satellite, scheduled to launched in August 1996. multispectral imaging radiometer/polarimeter designed collect global repetitive observations solar radiation reflected by Earth/atmosphere system, with wide field view (2400 km) moderate geometric resolution (6 km). The concept based on telecentric optics, rotating...
Timely processing of observations from multi-spectral imagers, such as SEVIRI (Spinning Enhanced Visible and Infrared Imager), largely depends on fast radiative transfer calculations. This paper mostly concerns the development implementation a new forward model for to be applied real time infrared radiances. The improves computational by factor ≈7 compared previous versions makes it possible process data at nearly time. has been retrieval surface parameters. Although scheme can simultaneous...
Abstract TOTAL, ONERA - The French Aerospace Lab and ADCIS companies are undertaking a multiyear R&D collaborative project to develop remote sensing technologies methodologies for gas leak detection, visualization quantification. history of incidents in the Oil Gas Industry has shown need efficient accurate tools quantifying rate extent hazardous areas manage efficiently an emergency situation. Besides, detection measurement gaseous hydrocarbon emissions industrial facilities is must...
Information on spectral emissivity (SE) is vital when retrieving and evaluating land surface temperature (LST) estimates from remotely sensed observations. SE measurements often come libraries based upon laboratory spectroscopic measurements, with uncertainties typically derived repeated measurements. To go further, we organised a “round-robin” inter-comparison exercise involving of three samples collected at seven different international laboratories. The were distilled water, which has...
In this paper we show that hyperspectral imaging systems are able to improve the detection and characterization Hazardous Noxious Substances (HNS) in case of marine pollution. We analysed nadir image acquisitions from 0.4 12μm corresponding two different campaigns: (i) HNS release at surface a sea water pool; (ii) Mediterranean Sea under real conditions where sensors were used addition existing operationally deployed for coastal survey. The spatial temporal evolution data slicks acquired...
Anthropic potentially toxic element (PTE) releases can lead to persistent pollution in soil. Monitoring PTEs by their detection and quantification on large scale is of great interest. The vegetation exposed exhibit a reduction physiological activities, structural damage … Such trait changes impact the spectral signature reflective domain 0.4-2.5 μm. objective this study characterize two pine species (Aleppo Stone pines) ensure assessment. focuses nine PTEs: As, Cr, Cu, Fe, Mn, Mo, Ni, Pb,...
The Optics Department of ONERA has developed and implemented an inverse algorithm, COSHISE, to correct hyperspectral images the atmosphere effects in visible-NIR-SWIR domain (0,4-2,5 micrometers ). This algorithm automatically determine integrated water-vapor content for each pixel, from radiance at sensor level by using a LIRR-type (Linear Regression Ratio) technique. It then retrieves spectral reflectance ground atmospheric parameters computed with Modtran4, included spatial dependence as...
This study aims at producing total petroleum hydrocarbon content map from airborne hyperspectral images of bare soils in the 0.4-2.5μm spectral domain. Existing methods, such as Kühn's Hydrocarbon Index or Allen & Satterwhite's Normalized Difference Index, are not able to produce reliable quantitative maps. To this end, more elaborated methods have recently been developed out laboratories sample spectra. They use multivariate build predictive models a population samples observed controlled...
The monitoring of the Land Surface Temperature (LST) by remote sensing in urban areas is great interest to study Urban Heat Island (SUHI) effect. Thus, it one goals future spaceborne mission TRISHNA, which will carry a thermal radiometer onboard with four bands at 60-m spatial resolution, acquiring daytime and nighttime. In this study, TRISHNA-like data are simulated from Airborne Hyperspectral Scanner (AHS) over Madrid area 4-m resolution. To retrieve LST, Emissivity Separation (TES)...