WATERMED - WATer use Efficiency in natural vegetation and agricultural areas by Remote sensing in the MEDiterranean Basin

Sobrino, J. A.; Raissouni, Naoufal; Olioso, Albert; Hasager, Charlotte Bay; Belaid, Mohamed Ait; Rahman, S.; Chehbouni, A.

doi:10.1109/igarss.2001.978289

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…An intensive series of field experiments were conducted in Morocco from March 3-17, 2003. This field experiment was included in the WATer-use Efficiency in natural vegetation and agricultural areas by Remote sensing in the MEDiterranean basin project, whose description is given by [27]. Measurements of emissivity and surface radiometric temperature were carried out concurrently with the AATSR overpass.…”

Section: Field Campaigns and Laboratory Measurementsmentioning

confidence: 99%

Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

Sobrino

Jimenez-Muoz

Sòria

et al. 2008

IEEE Trans. Geosci. Remote Sensing

602

381

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This paper discusses the application and adaptation of two existing operational algorithms for land surface emissivity (ε) retrieval from different operational satellite/airborne sensors with bands in the visible and near-infrared (VNIR) and thermal IR (TIR) regions: 1) the temperature and emissivity separation algorithm, which retrieves ε only from TIR data and 2) the normalized-difference vegetation index thresholds method, in which ε is retrieved from VNIR data.

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Section: Field Campaigns and Laboratory Measurementsmentioning

confidence: 99%

Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

Sobrino

Jimenez-Muoz

Sòria

et al. 2008

IEEE Trans. Geosci. Remote Sensing

602

381

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“…In Sobrino et al (2001Sobrino et al ( , 2005, transects were taken over several target/sample surfaces. They were performed concurrently with the satellites and airborne flights over the studied samples (see Figure 1).…”

Section: In Situ Campaigns: Overviewmentioning

confidence: 99%

First results towards building up a reliable in situ measurements database for LST algorithm validations using modular WSN: Northern Morocco campaigns case study

Raissouni

Sobrino

Chahboun

et al. 2012

International Journal of Remote Sensing

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Climate has changed throughout the 4.5 million year history of the globe. At the same time, natural and human activities are affected directly by the global change of Earth system attributes, such as increase in temperature. Land surface temperature (LST) is an important but highly variable climate parameter. Its spatial distribution and the characteristic of its diurnal change over wide areas can only be determined with remote-sensing methods. The power of wireless sensor network (WSN) technology has provided the capability of developing large-scale systems for remote-sensing algorithm and sensor validation.This article presents a new method (sensitivity ∼0.1 • C) for in situ LST measurements. The results of wide in situ LST campaigns carried out during 2009 in four distant and different sites located in northern Morocco are shown: (1) Kasr-Seghir, (2) Targha, (3) Tangier, and (4) Chefchaouen. For this purpose, we used two calibrated radiometers with thermal infrared bands, OSM101 and TESTO845. Finally, during these campaigns, a total of 28,531 measurements were made with the proposed wireless-LST (Wi-LST) system. The preliminary results show a wide variability of the measurements, which is in total accordance with the heterogeneity of the targets' nature. This is encouraging for we are interested in building up a reliable and consistent standard in situ LST measurements database for LST algorithm validations.

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“…The present study applied the S-NDVI THM (Simplified-NDVI THM ) which is a simplified version of the NDVI THM as proposed bySobrino et al (2008).Eq.11where εs and εv are soil and vegetation emissivities of the thermal bands, respectively, Pv is the proportion of vegetation. The land surface emissivity of band 10 is 0.964 and 0.984 for the soil and vegetation, respectively(Sobrino et al, 2001). Dates of the selected Landsat-8 data NDVI is the most often used vegetation index and has been used in monitoring global vegetation coverage over the past two decades(Jiang et al, 2006).…”

mentioning

confidence: 99%

Performance evaluation of Satellite-based actual evapotranspiration technique

Makar

Faisal²

2022

JANS

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Estimating crop evapotranspiration is vital for the calculation of irrigation water requirements. Remote sensing data have proven to be a valuable and efficient tool for estimating evapotranspiration. It has been used intensively over the past decade due to free, high temporal and spectral resolution data availability. The main aim of this study was to estimate the evapotranspiration (ET) over a selected area in El-Beheira governorate, Egypt based on the Simplified Surface Energy Balance Index (S-SEBI) using nine Landsat-8 images acquired from January to December 2020. The performance of the studied method was compared with the CROPWAT-8 model. The results revealed the acceptable accuracy of the ET estimated from S-SEBI algorithms with Landsat 8 images according to the coefficient of determination (r2 = 0.82) and root mean square error (RMSE = 0.53 mm/day). Therefore, it is recommended to use the S-SEBI to calculate the spatial evapotranspiration distribution using Landsat-8 images to provide the required information for determining irrigation water requirements and suggesting an efficient water management strategy.

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WATERMED - WATer use Efficiency in natural vegetation and agricultural areas by Remote sensing in the MEDiterranean Basin

Cited by 4 publications

References 13 publications

Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

First results towards building up a reliable in situ measurements database for LST algorithm validations using modular WSN: Northern Morocco campaigns case study

Performance evaluation of Satellite-based actual evapotranspiration technique

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