A5035599093- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Agriculture and Rural Development Research
- Horticultural and Viticultural Research
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Sugarcane Cultivation and Processing
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Plant Water Relations and Carbon Dynamics
- Soil and Land Suitability Analysis
- Calibration and Measurement Techniques
- Plant Physiology and Cultivation Studies
- African Botany and Ecology Studies
- Cocoa and Sweet Potato Agronomy
- Urban Heat Island Mitigation
- Natural Products and Biological Research
- Food Supply Chain Traceability
- Satellite Image Processing and Photogrammetry
- Remote-Sensing Image Classification
- Insect and Arachnid Ecology and Behavior
- Irrigation Practices and Water Management
- Infrared Target Detection Methodologies
- Sustainable Agricultural Systems Analysis
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2013-2024
Territoires
2013-2024
Université de Montpellier
2018-2024
Territoires, Environnement, Télédétection et Information Spatiale
2007-2024
Forests and Societies
2014-2024
AgroParisTech
2018-2024
Centre National de la Recherche Scientifique
2018-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2024
Gouvernance, Risque, Environnement, Développement
2013
University of Puerto Rico at Carolina
2012
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...
Sentinel-2 images are expected to improve global crop monitoring even in challenging tropical small agricultural systems that characterized by high intra- and inter-field spatial variability where satellite observations disturbed the presence of clouds. To overcome these constraints, we analyzed optimized performance a combined Random Forest (RF) classifier/object-based approach applied it multisource data produce land use maps smallholder zone Madagascar at five different nomenclature...
The use of consumer digital cameras or webcams to characterize and monitor different features has become prevalent in various domains, especially environmental applications. Despite some promising results, such camera systems generally suffer from signal aberrations due the on-board image processing thus offer limited quantitative data acquisition capability. objective this study was test a series radiometric corrections having potential reduce distortions linked optics conditions, quantify...
Sugarcane is a semi-perennial grass whose cultivation characterized by an extended harvest season lasting several months leading to very high spatio-temporal variability of the crop development and radiometry. The objective this paper understand in order propose appropriate spectral indicators for yield forecast. To do this, we used ground observations Satellite Pour l‘Observation de la Terre (SPOT4) SPOT5 time series acquired monthly over 2-year period Reunion Island Guadeloupe (French West...
Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity regional to global agriculture in terms of resolution (10–20 meter), revisit frequency (five days) coverage (global). In this context, European Space Agency launched 2014 “Sentinel2 Agriculture” project, which aims prepare exploitation through development open source...
As field phenotyping of plant response to water constraints constitutes a bottleneck for breeding programmes, airborne thermal imagery can contribute assessing the status wide range individuals simultaneously. However, presence mixed soil–plant pixels in heterogeneous cover complicates interpretation canopy temperature. Moran's Water Deficit Index (WDI = 1–ETact/ETmax), which was designed overcome this difficulty, compared with surface minus air temperature (Ts–Ta) as stress indicator....
Abstract. The availability of crop type reference datasets for satellite image classification is very limited complex agricultural systems as observed in developing and emerging countries. Indeed, land use dynamic, censuses are often poorly georeferenced types difficult to interpret directly from imagery. In this paper, we present a database made 24 collected standardized manner over nine sites within the framework international JECAM (Joint Experiment Crop Assessment Monitoring) initiative;...
In many peri urban areas of Africa, vegetable and fruits crops are expanding rapidly thanks to a fast growing market an attractive profitability for farmers. These productions mainly grown in off season need irrigation, water availability is then the main limiting factor their development. Burkina Faso very large number small scale dams have been built since dry spells years 1980 store surface support irrigation. Question arise about environmental productive impacts these as seem under...
High urbanization rates in cities lead to rapid changes land uses, particularly southern where population growth is fast. Urban and peri-urban agricultural often seen as available space for the city expand, but at same time, provides many benefits pertaining food, employment, eco-services. In this context, there an urgent need provide spatial information support planning complex urban systems. The challenge integrate analysis of agriculture land-cover classes, their functional patterns. This...
In the context of Global Change Research, detection, monitoring and characterization land use/land cover (LULC) changes are prime importance. The increasing availability dense satellite image time series (SITS) has led to a shift in change detection paradigm, with algorithms able exploit full temporal information laid down SITS. So far, most these have focused on abrupt gradual changes, thus developed breakpoint based significant deviations from mean. However, LULC may manifest themselves...
Accurate corrections of atmospheric effects on thermal infrared remote sensing data are an essential pre-requisite for the development airborne-derived crop water stress indices. These can be performed using ground surface temperature measurements, which time consuming and expensive. Atmospheric also corrected radiative transfer models that require knowledge status. The latter accurately characterized from radiosoundings, but these usually unavailable. It derived meteorological model...
Abstract. The availability of crop type reference datasets for satellite image classification is very limited complex agricultural systems as observed in developing and emerging countries. Indeed, land use dynamic, census are often poorly georeferenced, types difficult to photo-interpret directly from imagery. In this paper, we present nine collected a standardized manner between 2013 2020 seven tropical subtropical countries within the framework international JECAM (Joint Experiment Crop...
Abstract. Smallholder agriculture provides 90 % of primary food production in developing countries. Its mapping is thus a key element for national security. Remote sensing widely used crop mapping, but it underperforming smallholder due to several constraints like small field size, fragmented landscape, highly variable cropping practices or cloudy conditions. In this study, we developed an original approach combining remote and spatial modelling improve type complex agricultural landscapes....
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