Search Results - "Jaafar, Hadi"
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Time series trends of Landsat-based ET using automated calibration in METRIC and SEBAL: The Bekaa Valley, Lebanon
Published in Remote sensing of environment (01-03-2020)“…The Bekaa Valley in Lebanon currently hosts the highest number of refugees per capita in the world. It is also the primary agricultural production area in the…”
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Impact of ET and biomass model choices on economic irrigation water productivity in water-scarce basins
Published in Agricultural water management (01-03-2024)“…Using Economic Irrigation Water Productivity (EIWP) as an indicator for on-farm irrigation decision-making is of utmost importance in addressing the challenges…”
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Refugees, water balance, and water stress: Lessons learned from Lebanon
Published in Ambio (01-06-2020)“…The Syrian crisis caused a massive influx of displaced people into neighboring countries, with Lebanon hosting the highest per capita number of refugees…”
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Agriculture as a funding source of ISIS: A GIS and remote sensing analysis
Published in Food policy (01-10-2016)“…•Agriculture is crucial income source for the Islamic State in Syria and Iraq (ISIS).•Remote sensing can provide credible estimation of agricultural…”
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GYMEE: A Global Field-Scale Crop Yield and ET Mapper in Google Earth Engine Based on Landsat, Weather, and Soil Data
Published in Remote sensing (Basel, Switzerland) (20-02-2021)“…In this study, we used Landsat Earth observations and gridded weather data along with global soil datasets available in Google Earth Engine (GEE) to estimate…”
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Assessment of Leaf Area Index Models Using Harmonized Landsat and Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated Landscape
Published in Remote sensing (Basel, Switzerland) (01-10-2020)“…Leaf area index (LAI) is an essential indicator of crop development and growth. For many agricultural applications, satellite-based LAI estimates at the…”
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Crop yield prediction from remotely sensed vegetation indices and primary productivity in arid and semi-arid lands
Published in International journal of remote sensing (17-09-2015)“…Global demands for biomass and arable lands are expected to double in the next 35 years. Scarcity of water resources in arid and semi-arid areas poses a…”
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GCN250, new global gridded curve numbers for hydrologic modeling and design
Published in Scientific data (12-08-2019)“…The USDA curve-number (CN) method is fundamental for rainfall-runoff modeling. A global CN database is not currently available for geospatial hydrologic…”
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AgSAT: A Smart Irrigation Application for Field-Scale Daily Crop ET and Water Requirements Using Satellite Imagery
Published in Remote sensing (Basel, Switzerland) (01-10-2022)“…With the foreseen increase in population and the reliance on water as a key input for agricultural production, greater demand will be placed on freshwater…”
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Determining Reference Evapotranspiration in Greenhouses from External Climate
Published in Journal of irrigation and drainage engineering (01-09-2019)“…AbstractEstimations of Penman-Monteith reference evapotranspiration (EToPM) in greenhouses can benefit the operation of these intensive agricultural production…”
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A global dynamic runoff application and dataset based on the assimilation of GPM, SMAP, and GCN250 curve number datasets
Published in Scientific data (16-11-2022)“…Runoff modelling is a crucial element in hydrologic sciences. However, a global runoff database is not currently available at a resolution higher than 0.1°. We…”
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Evaluating Atmometer Performance for Estimating Reference Evapotranspiration in Ventilated and Unventilated Greenhouses
Published in Journal of irrigation and drainage engineering (01-07-2018)“…AbstractReference evapotranspiration (ETo) estimates in greenhouses require the measurement of several meteorological variables. These measurements are not…”
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Hydrogel Banding Improves Plant Growth, Survival, and Water Use Efficiency in Two Calcareous Soils
Published in Clean : soil, air, water (01-07-2017)“…Improving water use efficiency in the agricultural sector, particularly in arid regions, is becoming increasingly important in response to increasing global…”
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Impact of the Syrian conflict on irrigated agriculture in the Orontes Basin
Published in International journal of water resources development (03-07-2015)“…The impact of conflict on irrigated agriculture and consequently summer crop production within conflict-affected agricultural lands was observed in the Orontes…”
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Nationwide Assessment of Water Quality in Rivers across Lebanon by Quantifying Fecal Indicators Densities and Profiling Antibiotic Resistance of Escherichia coli
Published in Antibiotics (Basel) (20-07-2021)“…The use of contaminated water has been associated with severe disease outbreaks. Due to widespread pollution with untreated sewage, concerns have been raised…”
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Data set on current and future crop suitability under the Representative Concentration Pathway (RCP) 8.5 emission scenario for the major crops in the Levant, Tigris-Euphrates, and Nile Basins
Published in Data in brief (01-02-2019)“…This article describes crop suitability maps (raster data) for thirty five crops in the Jordan, Litani, Orontes, Nile, and Tigris-Euphrates river basins…”
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Detecting Irrigation Events over Semi-Arid and Temperate Climatic Areas Using Sentinel-1 Data: Case of Several Summer Crops
Published in Agronomy (Basel) (01-11-2022)“…Irrigation monitoring is of great importance in agricultural water management to guarantee better water use efficiency, especially under changing climatic…”
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Dataset used for assessing animal and poultry production water footprint in selected countries of the MENA region
Published in Data in brief (01-12-2019)“…This article describes the data used to assess and quantify the local and imported (green, blue, and grey) fractions of unit and total water footprint of six…”
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Socioeconomic impact of agricultural water reallocation policies in the Upper Litani Basin (Lebanon): a remote sensing and microeconomic ensemble forecasting approach
Published in Agricultural water management (01-05-2024)“…The integration of remote sensing and socio-economic data is crucial for policy making in regions suffering from water scarcity and climate change. We present…”
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