Remote Sensing of Water Resources in Semi-Arid Mediterranean Areas: the joint international laboratory TREMA

Jarlan, Lionel; Khabba, Saïd; Er‐Raki, Salah; Page, Michel Le; Hanich, Lahoucine; Fakir, Younes; Merlin, Olivier; Mangiarotti, Sylvain; Gascoin, Simon; Ezzahar, Jamal; Kharrou, Mohamed Hakim; Berjamy, Brahim; Saaidi, Amina; Boudhar, Abdelghani; Benkaddour, Abdelfattah; Laftouhi, Nour‐Eddine; Abaoui, J.; Tavernier, A.; Boulet, G.; Simonneaux, Vincent; Driouech, Fatima; Adnani, Mohamed El; Fazziki, Abdelaziz El; Amenzou, N.; Raibi, Fatima; Mandour, Abdennabi El; Ibouh, Hassan; Dantec, Valérie Le; Habets, Florence; Tramblay, Yves; Mougenot, Bernard; Leblanc, Marc; Faïz, M. El; Drapeau, Laurent; Coudert, B.; Hagolle, Olivier; Filali, N.; Belaqziz, Salwa; Marchane, Ahmed; Szczypta, Camille; Toumi, Jihad; Diarra, Alhousseine; Aouade, Ghizlane; Hajhouji, Youssef; Nassah, Houda; Bigeard, G.; Chirouze, Jonas; Boukhari, K.; Abourida, A.; Richard, Bastien; Fanise, Pascal; Kasbani, Mohamed; Chakir, Adnane; Zribi, Mehrez; Marah, Hamid; Naimi, A.; Mokssit, Abdalah; Kerr, Yann H.; Escadafal, Richard

doi:10.1080/01431161.2015.1093198

Cited by 82 publications

(50 citation statements)

References 90 publications

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“…The Sidi Rahal site was equipped by a monitoring station (Figure 1b,c) in December 2013 in the frame work of the Joint International Laboratory TREMA (a French acronym for Remote Sensing and Water Resources in the Semi-Arid Mediterranean [32,33]. The monitoring station includes: (1) micro-meteorological instruments for estimating the latent and sensible heat fluxes at the soil-vegetation-atmosphere interface; (2) sensors for measuring rainfall, global radiation, temperature, relative humidity, and wind speed at a half-hourly time step; and (3) probes for measuring soil water content at different depths and at the time interval of 30 min.…”

Section: In Situ Measurementsmentioning

confidence: 99%

Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco

et al. 2017

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Abstract:The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (σ • ). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of σ • and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of σ • ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of σ • where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R 2 ) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R 2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R 2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD = 0.032 m 3 m −3 ).

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Section: In Situ Measurementsmentioning

confidence: 99%

Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco

et al. 2017

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“…These regions frequently face problems of water resources management in an environment of scarcity and droughts [1,2]. Certainly, the availability of water in these areas is one of the main factors influencing socio-economic development, especially when these regions are based largely on revenues of the agriculture [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of TRMM 3B42 V7 Rainfall Product over the Oum Er Rbia Watershed in Morocco

Ouatiki

Boudhar

Tramblay

et al. 2017

Climate

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Abstract:In arid and semi-arid areas, rainfall is often characterized by a strong spatial and temporal variability. These environmental factors, combined with the sparsity of the measurement networks in developing countries, constitute real constraints for water resources management. In recent years, several spatial rainfall measurement sources have become available, such as TRMM data (Tropical Rainfall Measurement Mission). In this study, the TRMM 3B42 Version 7 product was evaluated using rain gauges measurements from 19 stations in the Oum-Er-Bia (OER) basin located in the center of Morocco. The relevance of the TRMM product was tested by direct comparison with observations at different time scales (daily, monthly, and annual) between 1998 and 2010. Results show that the satellite product provides poor estimations of rainfall at the daily time scale giving an average Pearson correlation coefficient (r) of 0.2 and average Root Mean Square Error (RMSE) of 10 mm. However, the accuracy of TRMM rainfall is improved when temporally averaged to monthly time scale (r of 0.8 and RMSE of 28 mm) or annual time scale (r of 0.71 and RMSE of 157 mm). Moreover, improved correlation with observed data was obtained for data spatially averaged at the watershed scale. Therefore, at the monthly and annual time scales, TRMM data can be a useful source of rainfall data for water resources monitoring and management in ungauged basins in semi-arid regions.

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“…The study area is characterized by a semi‐arid climate with low and very variable annual rainfall. Two periods are to be distinguished: a dry period extending from June to September; a rainy season with fairly abundant rainfall from October to April, and annual rainfall of about 250 mm. The temperatures range from 8 °C in February (average of the coldest minimum) to 42 °C in September (average of the maxima of the hottest month), with an annual average of 21.2 °C, and the potential evapotranspiration is around 1600 mm yr‾¹ (Jarlan et al, ).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Groundwater Quality and Agricultural use Under a Semi‐arid Environment: Case of Agafay, Western Haouz, Morocco

Sefiani

Mandour

Laftouhi

et al. 2019

Irrigation and Drainage

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Water resources are a priority for economic development, aiming at meeting the increasing needs of agriculture and all socio‐economic sectors. Agriculture is one of the essential pillars of this development in the Haouz Plain. Under a semi‐arid climate, irrigation, consuming more than 85% of available water, is inevitable for most crops. Hence, groundwater is becoming increasingly under pressure. Salinization due to poor irrigation management is one of the main causes of soil degradation. In this context, assessment of groundwater quality and risks of soil salinization was carried out in irrigated citrus orchards located in the western part of Haouz and aimed at understanding the connection between natural context, irrigation practices, and water and soil salinization. The spatial distribution of aquifer potential lines is affected by groundwater over‐exploitation. Moreover, geologically, the Palaeozoic substratum rise constitutes an obstacle for underground flow, which explains the low values recorded and measured around the studied area. The groundwater quality in the study area is characterized by strong mineralization, consequently affecting the soil by secondary salinization due to the intensive use of moderate saline waters from groundwater. Using a mixture of different water origins is a practical measure to reduce the risks of degradation of the soil. © 2019 John Wiley & Sons, Ltd.

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Remote Sensing of Water Resources in Semi-Arid Mediterranean Areas: the joint international laboratory TREMA

Abstract: International audienc

Cited by 82 publications

References 90 publications

Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco

Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco

Evaluation of TRMM 3B42 V7 Rainfall Product over the Oum Er Rbia Watershed in Morocco

Evaluation of Groundwater Quality and Agricultural use Under a Semi‐arid Environment: Case of Agafay, Western Haouz, Morocco

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