Jamal Ezzahar
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View article: Accuracy Assessment of Remote Sensing-Derived Evapotranspiration Products Against Eddy Covariance Measurements in Tensift Al-Haouz Semi-Arid Region, Morocco
Accuracy Assessment of Remote Sensing-Derived Evapotranspiration Products Against Eddy Covariance Measurements in Tensift Al-Haouz Semi-Arid Region, Morocco Open
Evapotranspiration (ET) is challenging to measure directly, motivating the use of remote sensing products as alternatives. We evaluated five high-resolution (≤1 km) global ET products (SSEBop, MOD16, ETMonitor, PMLv2, and FAO’s WaPOR) agai…
View article: Simulation of the pea crop development using AquaCrop model in Chichaoua region, Morocco: Application for irrigation management
Simulation of the pea crop development using AquaCrop model in Chichaoua region, Morocco: Application for irrigation management Open
This study aims to calibrate and validate the AquaCrop model to accurately simulate key growth parameters of pea crops in the semi-arid Chichaoua region of central Morocco. It specifically targets, canopy cover (CC), actual evapotranspirat…
View article: A modified METRIC model for high resolution partitioning and mapping of evapotranspiration over irrigated agricultural landscapes in Morocco
A modified METRIC model for high resolution partitioning and mapping of evapotranspiration over irrigated agricultural landscapes in Morocco Open
Partitioning of evapotranspiration (ET) into soil evaporative (E) and plant transpiration (T) components remains challenging in flux modeling that has particular relevance to crop water use management. Here, we develop an approach to modif…
View article: Analyzing the impact of area of interest (AOI) size and endmember selection on evapotranspiration (ET) estimation through a contextual model (SEBAL)
Analyzing the impact of area of interest (AOI) size and endmember selection on evapotranspiration (ET) estimation through a contextual model (SEBAL) Open
Accurate estimation of evapotranspiration (ET) is essential for effective water resource management, particularly in arid and semi-arid areas. Advancements in remote sensing technology have made ET models indispensable, offering high-resol…
View article: Assessment of SIMDualKc model for irrigation scheduling of winter wheat in the Haouz plain, Morocco
Assessment of SIMDualKc model for irrigation scheduling of winter wheat in the Haouz plain, Morocco Open
Agricultural water management in arid and semi-arid regions faces significant challenges, exacerbated by climate change and rising food demand. To address this, the study proposes a strategy for tailoring the irrigation requirements of win…
View article: AgriLink: an innovative real-time data monitoring and connectivity platform for an orange orchard in Morocco
AgriLink: an innovative real-time data monitoring and connectivity platform for an orange orchard in Morocco Open
Sustainable and digital agriculture, grounded in robust scientific research, is crucial to addressing the challenges related to the water-food-energy Nexus (WFE). Ensuring global food security, particularly for small-scale farms, presents …
View article: Assessment of the effects of winter wheat scattering on SAR backscatter for soil moisture estimation based on a radiative transfer model
Assessment of the effects of winter wheat scattering on SAR backscatter for soil moisture estimation based on a radiative transfer model Open
This study evaluated the potential of the Single Scattering Radiative Transfer (SSRT) model coupled with the Oh model to retrieve surface soil moisture (SSM) in two drip-irrigated wheat fields in the Tensift al Haouz plain, over three grow…
View article: Quantifying Olive Tree Evapotranspiration in Semi-Arid Regions through Remote Sensing-Based SEBAL Model: Validation with Optical-Microwave Scintillometer
Quantifying Olive Tree Evapotranspiration in Semi-Arid Regions through Remote Sensing-Based SEBAL Model: Validation with Optical-Microwave Scintillometer Open
Accurately assessing sensible (H) and latent (LE) heat fluxes, along with evapotranspiration, is crucial for comprehending the energy balance at the biosphere-atmosphere interface and enhancing agricultural water management. Although the e…
View article: Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations
Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations Open
International audience
View article: Analysis of C-Band Radar Temporal Coherence Over an Irrigated Olive Orchard in a Semi-Arid Region
Analysis of C-Band Radar Temporal Coherence Over an Irrigated Olive Orchard in a Semi-Arid Region Open
International audience
View article: Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models
Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models Open
This work aims to assess the effectiveness of machine learning (ML) algorithms and semiempirical models for surface soil moisture (SSM) retrieval by exploring the Sentinel-1 backscatter and interferometric coherence data. First, three comm…
View article: Selection of NPK specific spectral bands using Hyperspectral imagery and ensemble machine learning approach over agricultural lands in Morocco
Selection of NPK specific spectral bands using Hyperspectral imagery and ensemble machine learning approach over agricultural lands in Morocco Open
Evaluation of soil's available Nitrogen, Phosphorus, and Potassium (NPK) has gained new prospects with the recent availability of hyperspectral remote sensing imagery (i.e., PRISMA satellite). Such an evaluation may be crucial for developi…
View article: A New Competitive Neural Architecture for Object Classification
A New Competitive Neural Architecture for Object Classification Open
In this paper, we propose a new neural architecture for object classification, made up from a set of competitive layers whose number and size are dynamically learned from training data using a two-step process that combines unsupervised an…
View article: In situ radar measurements for monitoring the physiological functioning of wheat crops in the semi-arid area
In situ radar measurements for monitoring the physiological functioning of wheat crops in the semi-arid area Open
<p>Irrigated agriculture is the largest consumer of freshwater in the world, particularly in the South Mediterranean region, that already suffers from water shortages. For a rational and sustainable management of water resources, mon…
View article: Diurnal and seasonal behavior observed by C-band radar measurements at high temporal frequencies over an olive orchard in a Mediterranean region
Diurnal and seasonal behavior observed by C-band radar measurements at high temporal frequencies over an olive orchard in a Mediterranean region Open
<p>This work deals with crop monitoring in a semi-arid environment, the Mediterranean region, where up to 80-90% of already over-exploited water resources are used for irrigation. To help sustainable use of water resources in agricul…
View article: Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation
Performance Evaluation of the WOFOST Model for Estimating Evapotranspiration, Soil Water Content, Grain Yield and Total Above-Ground Biomass of Winter Wheat in Tensift Al Haouz (Morocco): Application to Yield Gap Estimation Open
The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TW…
View article: C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) Open
A better understanding of the hydrological functioning of irrigated crops using remote sensing observations is of prime importance in semi-arid areas where water resources are limited. Radar observations, available at high resolution and w…
View article: Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region
Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region Open
Agricultural water use represents more than 70% of the world’s freshwater through irrigation water inputs that are poorly known at the field scale. Irrigation monitoring is thus an important issue for optimizing water use in particular wit…
View article: Analysis of diurnal cycles of interferometric coherence and backscattering coefficient measured on an irrigated wheat field in Morocco
Analysis of diurnal cycles of interferometric coherence and backscattering coefficient measured on an irrigated wheat field in Morocco Open
<p>C-band radar observations have shown a high sensitivity to the water status of vegetation, including forests and crops. Several studies conducted mainly on forests have observed daily changes of the backscattering coefficients bet…
View article: Monitoring of an irrigated olive orchard using C-band backscattering coefficient and interferometric coherence at high temporal frequency: preliminary results
Monitoring of an irrigated olive orchard using C-band backscattering coefficient and interferometric coherence at high temporal frequency: preliminary results Open
<p>In the south Mediterranean region already facing water scarcity, up to 80% of available water is used by irrigated agriculture. This work focuses on the analysis of the C-band response of a tree crop with in situ data acquired wit…
View article: Surface soil moisture data assimilation for irrigation amounts and timing estimation in semi-arid regions
Surface soil moisture data assimilation for irrigation amounts and timing estimation in semi-arid regions Open
<p>Irrigation is the largest consumer of water in the world, with more than 70% of the world's fresh water dedicated to agriculture. In this context, we developed and evaluated a new method to predict daily to seasonal irrigation tim…
View article: On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas
On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas Open
Over semi-arid agricultural areas, the surface energy balance and its components are largely dependent on the soil water availability. In such conditions, the land surface temperature (LST) retrieved from the thermal bands has been commonl…