Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"Comparative Study among Different Semi-Empirical Models for Soil Salinity Prediction in an Arid Environment Using OLI Landsat-8 Data"
written by A. El-Battay, A. Bannari, N. A. Hameid, A. A. Abahussain,
published by Advances in Remote Sensing, Vol.6 No.1, 2017
has been cited by the following article(s):
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[2] Assessing spatio-temporal variations in land use/land cover and soil salinity and their impact on managing dry areas (Case study: a part of Sistan basin …
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[3] Quantitative Study on Salinity Estimation of Salt-Affected Soils by Combining Different Types of Crack Characteristics Using Ground-Based Remote Sensing …
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[4] Remote sensing of inland Sabkha and a study of the salinity and temporal stability for sustainable development: A case study from the West coast of Qatar
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[5] Validation and Comparison of Physical Models for Soil Salinity Mapping over an Arid Landscape Using Spectral Reflectance Measurements and Landsat-OLI Data
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[6] A PLSR model to predict soil salinity using Sentinel-2 MSI data
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[7] Capabilities of Hyperspectral Remote Sensing Data to Detect Soil Salinity
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[8] Estimación de la conductividad eléctrica del suelo a partir de información espectral en el cultivo del arroz (Oryza sativa L.)
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[9] Estimation of the electrical conductivity of the soil from spectral information in the cultivation of rice (Oryza sativa L.)/Estimación de la conductividad eléctrica del suelo …
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[10] Estimation of the electrical conductivity of the soil from spectral information in the cultivation of rice (Oryza sativa L.)
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[11] Validation and comparison of physical models for soil salinity mapping over an arid landscape using spectral reflectance measurements and Landsat-OLI …
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[12] Characterization of short-term salinity fluctuations in the Neretva River Delta situated in the southern Adriatic Croatia using Landsat-5 TM
2020
[13] Assessing climate change impact on soil salinity dynamics between 1987–2017 in arid landscape using Landsat TM, ETM+ and OLI data
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[14] تأثیر الظروف المناخیة السائدة على کشف ورصد ملوحة التربة فی واحة الخارجة على أساس القمر الصناعی لاندسات 8 OLI والسلسلة الزمنیة المناخیة‎
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[15] Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape
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[16] Primera aproximación en estudios de salinidad de suelo en la Pampa húmeda argentina utilizando imágenes SAR e inversión de modelos electromagnético
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[17] Quantitative Research on the Relationship between Salinity and Crack Length of Soda Saline-Alkali Soil.
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[18] Mapping soil salinity in arid and semi-arid regions using Landsat 8 OLI satellite data
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[19] Method for predicting soil salinity concentrations in croplands based on machine learning and remote sensing techniques
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[20] Salinization information extraction model based on VI–SI feature space combinations in the Yellow River Delta based on Landsat 8 OLI image
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[21] PHYSICAL MODELS FOR SOIL SALINITY MAPPING OVER ARID LANDSCAPE USING LANDSAT-OLI AND FIELD DATA: VALIDATION AND COMPARISON
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[22] Synergy Between Sentinel-MSI and Landsat-OLI to Support High Temporal Frequency for Soil Salinity Monitoring in an Arid Landscape
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[23] Mapping Soil Salinity in Western United Arab Emirates (UAE) Using Satellite Data
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[24] Sentinel-MSI VNIR and SWIR bands sensitivity analysis for soil salinity discrimination in an arid landscape
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[25] Quantitative Research on the Relationship between Salinity and Crack Length of Soda Saline-Alkali Soil
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[26] Validation and comparison of physical models for soil salinity mapping over Kuwait territory using landsat-OLI and field data
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[27] Using Landsat 8 OLI data to predict and mapping soil salinity for part of An-Najaf governorate
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[28] Salt-Affected Soil Mapping in an Arid Environment Using Semi-Empirical Model and Landsat-OLI Data
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