A5050716420- Soil Moisture and Remote Sensing
- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Landslides and related hazards
- Remote Sensing and Land Use
- Flood Risk Assessment and Management
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Geophysics and Gravity Measurements
- Leaf Properties and Growth Measurement
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Soil Geostatistics and Mapping
- Hydrology and Drought Analysis
- Water Quality Monitoring Technologies
- GNSS positioning and interference
- Robotics and Sensor-Based Localization
- Environmental and Agricultural Sciences
- Soil and Unsaturated Flow
- Spectroscopy and Chemometric Analyses
- Plant responses to elevated CO2
- Plant Stress Responses and Tolerance
- Land Use and Ecosystem Services
King Abdullah University of Science and Technology
2018-2024
Université Mohammed VI Polytechnique
2018-2022
Institut de Recherche pour le Développement
2014-2018
Centre National de la Recherche Scientifique
2014-2018
Centre d'Études Spatiales de la Biosphère
2013-2018
Université Toulouse III - Paul Sabatier
2014-2018
Université de Toulouse
2015-2018
Polytechnic University
2018
Laboratoire d’Études en Géophysique et Océanographie Spatiales
2016
Observatoire Midi-Pyrénées
2014
With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance collection, also establishing protocols applicable across a broad range of environments conditions. In this context, network scientists cooperating within framework Harmonious Project develop promote harmonized mapping strategies disseminate operational ensure best practice interpretation. The...
The Ganges–Brahmaputra (GB), a major river basin of the Indian Sub-Continent (ISC), is host more than 700 millions people. In addition to monsoons and strong climate variability, GB facing growing demands for freshwater availability by continually population rapidly developing agricultural industrial sectors. management water resources thus highest priority and, in context current over-abstraction groundwater, accurate estimates terrestrial storage are essential. We propose multi-satellite...
Biomass and yield are important variables used for assessing agricultural production performance. However, these difficult to predict individual plants at the farm scale, prediction models accuracies may be affected by abiotic stresses such as salinity. In this study, a diversity panel of wild tomato species, Solanum pimpinellifolium, was evaluated through field- unmanned aerial vehicle (UAV) based assessment 600 control salt-treated plants. The aim research determine if red-green-blue (RGB)...
Thermal infrared cameras provide unique information on surface temperature that can benefit a range of environmental, industrial and agricultural applications. However, the use uncooled thermal for field unmanned aerial vehicle (UAV) based data collection is often hampered by vignette effects, sensor drift, ambient influences measurement bias. Here, we develop apply an temperature-dependent radiometric calibration function evaluated against three sensors (Apogee SI-11(Apogee Electronics,...
Data disaggregation (or downscaling) is becoming a recognized modeling framework to improve the spatial resolution of available surface soil moisture satellite products. However, depending on quality scale change and uncertainty in its input data, may or degrade information at high resolution. Hence, defining relevant metric for evaluating such methodologies crucial before disaggregated data can be eventually used fine-scale studies. In this paper, new metric, named GDOWN, proposed assess...
Radar altimetry has demonstrated strong capabilities for the monitoring of water levels lakes, rivers and wetlands over last 20 years. The Indo-French SARAL/AltiKa mission, launched in February 2013, is first satellite radar mission to carry onboard a Ka-band sensor. We propose here evaluate potential this new instrument land hydrology through comparisons with other altimetry-derived stages discharges Ganges-Brahmaputra Irrawaddy river basins using its year data. Due lack concomitant situ...
With salt stress presenting a major threat to global food production, attention has turned the identification and breeding of crop cultivars with improved tolerance. For instance, some accessions wild species higher tolerance than commercial varieties are being investigated for their potential expand production into marginal areas or use brackish waters irrigation. However, assessment individual plant responses in field trials is time-consuming, limiting, example, longitudinal large numbers...
Variations in surface water extent and storage are poorly characterized from regional to global scales. In this study, a multi-satellite approach is proposed estimate the stored floodplains of Orinoco Basin at monthly time-scale using remotely-sensed observations Global Inundation Extent Multi-Satellite (GIEMS) stages Envisat radar altimetry. Surface variations over 2003–2007 exhibit large interannual variability strong seasonal signal, peaking during summer, associated with flood pulse. The...
Hyperspectral systems integrated on unmanned aerial vehicles (UAV) provide unique opportunities to conduct high-resolution multitemporal spectral analysis for diverse applications. However, additional time-consuming rectification efforts in postprocessing are routinely required, since geometric distortions can be introduced due UAV movements during flight, even if navigation/motion sensors used track the position of each scan. Part challenge obtaining high-quality imagery relates lack a fast...
Characterizing the land surface temperature (LST) and its diurnal cycle is important in understanding a range of properties, including soil moisture status, evaporative response, vegetation stress ground heat flux. While remote-sensing platforms present number options to retrieve this variable, there are inevitable compromises between resolvable spatial temporal resolution. For instance, resolution geostationary satellites, which can provide sub-hourly LST, often too coarse (3 km) for many...
Abstract The ongoing retreat of glaciers at southern sub-polar latitudes is particularly rapid and widespread. Akin to northern latitudes, this generally assumed be linked warming. However, no long-term well-constrained glacier modeling has ever been performed confirm hypothesis. Here, we model the Cook Ice Cap mass balance on Kerguelen Islands (Southern Indian Ocean, 49°S) since 1850s. We show that wastage during 2000s in was among most dramatic Earth. attribute 77% increasingly negative...
Abstract. The agricultural sector in Saudi Arabia has witnessed rapid growth both production and area under cultivation over the last few decades. This prompted some concern state future availability of fossil groundwater resources, which have been used to drive this expansion. Large-scale studies using satellite gravimetric data show a declining trend region. However, water management agencies require much more detailed information on spatial distribution fields their varying levels...
Soil and water salinization has global impact on the sustainability of agricultural production, affecting health condition staple crops reducing potential yields. Identifying or developing salt-tolerant varieties commercial is a pathway to enhance food security deliver demand for an increase in supplies. Our study focuses phenotyping experiment that was designed establish influence salinity stress diversity panel wild tomato species, Solanum pimpinellifolium . Here, we explore how unoccupied...
Abstract High spatial and temporal resolution surface soil moisture is required for most hydrological agricultural applications. The recently developed Disaggregation based on Physical Theoretical Scale Change (DisPATCh) algorithm provides 1-km-resolution by downscaling the 40-km Soil Moisture Ocean Salinity (SMOS) using Moderate Resolution Imaging Spectroradiometer (MODIS) data. However, of DisPATCh data constrained SMOS (a global coverage every 3 days) further limited gaps in MODIS images...
The miniaturization of thermal infrared sensors suitable for integration with unmanned aerial vehicles (UAVs) has provided new opportunities to observe surface temperature at ultra-high spatial and temporal resolutions. In parallel, there been a rapid development software capable streamlining the generation orthomosaics. However, these approaches were developed process optical multi-spectral image data not designed account often rapidly changing characteristics inherent in collection...
Abstract. Biomass and yield are important variables used for assessing agricultural production. However, these difficult to estimate individual plants at the farm scale may be affected by abiotic stressors such as salinity. In this study, wild tomato species, Solanum pimpinellifolium, was evaluated through field UAV-based assessment of 600 control salt-treated plants. The aim research determine, if imagery, collected one, two, four, six, seven eight weeks before harvest could predict fresh...
Abstract Soil salinity is a major environmental stressor affecting agricultural productivity worldwide. Understanding plant responses to salt stress crucial for developing resilient crop varieties. Wild relatives of cultivated crops, such as wild tomato, Solanum pimpinellifolium , can serve useful resource further expand the resilience potential germplasm, S. lycopersicum . In this study, we employed high-throughput phenotyping in greenhouse and field conditions explore diversity panel. Our...
The normalization of LST relative to environmental parameters is great importance in various applications. purpose this study was develop a new approach for variables. These included topographic variables (i.e. solar irradiance and near-surface temperature lapse rate (NSTLR)) as well biophysical properties vegetation, wetness, albedo). conducted two phases, namely (1) using global (2) local optimization strategies calculate the regression coefficients partial least squares (PLSR) build...
Variations in surface water extent and storage are poorly characterized from regional to global scales. In this study, a multi-satellite approach is proposed estimate the stored floodplains of Orinoco Basin at monthly time-scale using remotely-sensed observations Global Inundation Extent Multi-Satellite (GIEMS) stages Envisat radar altimetry. Surface variations over 2003–2007 exhibit large interannual variability strong seasonal signal, peaking during summer, associated with flood pulse. The...
Consistent and continuous Land Surface Temperature at high temporal resolution is essential for many applications, such as anomaly detection (e.g. agricultural droughts), urban heat island monitoring or irrigation crop water stress, among others. LST can be retrieved spatial from spaceborne thermal infrared (TIR) instruments, like MODIS/VIIRS, Landsat, ECOSTRESS, ASTER. But these data come with large gaps due to cloud cover orbit/sensor characteristics consequently complicate time series...