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Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators

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  • Khan, Nasir M.
  • Rastoskuev, Victor V.
  • Sato, Y.
  • Shiozawa, S.

Abstract

No abstract is available for this item.

Suggested Citation

  • Khan, Nasir M. & Rastoskuev, Victor V. & Sato, Y. & Shiozawa, S., 2005. "Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 96-109, August.
    • Handle: RePEc:eee:agiwat:v:77:y:2005:i:1-3:p:96-109
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    Cited by:

    1. Hamideh Nouri & Sattar Chavoshi Borujeni & Sina Alaghmand & Sharolyn J. Anderson & Paul C. Sutton & Somayeh Parvazian & Simon Beecham, 2018. "Soil Salinity Mapping of Urban Greenery Using Remote Sensing and Proximal Sensing Techniques; The Case of Veale Gardens within the Adelaide Parklands," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    2. Tong Su & Xinjun Wang & Songrui Ning & Jiandong Sheng & Pingan Jiang & Shenghan Gao & Qiulan Yang & Zhixin Zhou & Hanyu Cui & Zhilin Li, 2024. "Enhancing Soil Salinity Evaluation Accuracy in Arid Regions: An Integrated Spatiotemporal Data Fusion and AI Model Approach for Arable Lands," Land, MDPI, vol. 13(11), pages 1-20, November.
    3. Maxime Dumont & Guilhem Brunel & Paul Tresson & Jérôme Nespoulous & Hassan Boukcim & Marc Ducousso & Stéphane Boivin & Olivier Taugourdeau & Bruno Tisseyre, 2024. "Operational sampling designs for poorly accessible areas based on a multi-objective optimization method," Post-Print hal-04566087, HAL.
    4. Min Ma & Yi Hao & Qingchun Huang & Yongxin Liu & Liancun Xiu & Qi Gao, 2024. "Soil Salinity Estimation by 3D Spectral Space Optimization and Deep Soil Investigation in the Songnen Plain, Northeast China," Sustainability, MDPI, vol. 16(5), pages 1-26, March.
    5. Achivir Stella Yawe & Changlai Xiao & Oluwafemi Adewole Adeyeye & Mingjun Liu & Xiaoya Feng & Xiujuan Liang, 2022. "Spatio-Temporal Evolution of the Ecological Environment in a Typical Semi-Arid Region of Northeast China," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    6. Azamat Suleymanov & Ilyusya Gabbasova & Mikhail Komissarov & Ruslan Suleymanov & Timur Garipov & Iren Tuktarova & Larisa Belan, 2023. "Random Forest Modeling of Soil Properties in Saline Semi-Arid Areas," Agriculture, MDPI, vol. 13(5), pages 1-11, April.
    7. Mohamed Elhedi Gharsallah & Hamouda Aichi & Talel Stambouli & Zouhair Ben Rabah & Habib Ben Hassine, 2022. "Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 17(1), pages 15-28.
    8. Jiawen Hou & Mao Ye, 2022. "Effects of Dynamic Changes of Soil Moisture and Salinity on Plant Community in the Bosten Lake Basin," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    9. Billal Hossen & Helmut Yabar & Md Jamal Faruque, 2022. "Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh," Land, MDPI, vol. 11(10), pages 1-18, October.
    10. Shuai Li & Pu Guo & Fei Sun & Jinlei Zhu & Xiaoming Cao & Xue Dong & Qi Lu, 2024. "Mapping Dryland Ecosystems Using Google Earth Engine and Random Forest: A Case Study of an Ecologically Critical Area in Northern China," Land, MDPI, vol. 13(6), pages 1-20, June.
    11. Tharani Gopalakrishnan & Lalit Kumar, 2020. "Modeling and Mapping of Soil Salinity and its Impact on Paddy Lands in Jaffna Peninsula, Sri Lanka," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    12. Sheshu Zhang & Jun Zhao & Jianxia Yang & Jinfeng Xie & Ziyun Sun, 2024. "Feature Selection and Regression Models for Multisource Data-Based Soil Salinity Prediction: A Case Study of Minqin Oasis in Arid China," Land, MDPI, vol. 13(6), pages 1-21, June.
    13. Zixuan Zhang & Beibei Niu & Xinju Li & Xingjian Kang & Zhenqi Hu, 2022. "Estimation and Dynamic Analysis of Soil Salinity Based on UAV and Sentinel-2A Multispectral Imagery in the Coastal Area, China," Land, MDPI, vol. 11(12), pages 1-21, December.
    14. Hesham M. Aboelsoud & Mohamed A. E. AbdelRahman & Ahmed M. S. Kheir & Mona S. M. Eid & Khalil A. Ammar & Tamer H. Khalifa & Antonio Scopa, 2022. "Quantitative Estimation of Saline-Soil Amelioration Using Remote-Sensing Indices in Arid Land for Better Management," Land, MDPI, vol. 11(7), pages 1-19, July.
    15. Yingxuan Ma & Nigara Tashpolat, 2023. "Current Status and Development Trend of Soil Salinity Monitoring Research in China," Sustainability, MDPI, vol. 15(7), pages 1-25, March.
    16. Iqra Farooq & Shabir Ahmed Bangroo & Owais Bashir & Tajamul Islam Shah & Ajaz A. Malik & Asif M. Iqbal & Syed Sheraz Mahdi & Owais Ali Wani & Nageena Nazir & Asim Biswas, 2022. "Comparison of Random Forest and Kriging Models for Soil Organic Carbon Mapping in the Himalayan Region of Kashmir," Land, MDPI, vol. 11(12), pages 1-15, December.
    17. Dauren Rakhmanov & Bořivoj Šarapatka & Kamilla Alibekova & Jan Černohorský & Petr Hekera & Zhassulan Smanov, 2024. "Assessment of agricultural land salinization via soil analysis and remote sensing data: Case study in Pavlodar region, Kazakhstan," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 19(2), pages 111-121.
    18. Yasin ul Haq & Muhammad Shahbaz & H. M. Shahzad Asif & Ali Al-Laith & Wesam H. Alsabban, 2023. "Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu, Pakistan," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    19. Hui Deng & Wenjiang Zhang & Xiaoqian Zheng & Houxi Zhang, 2024. "Crop Classification Combining Object-Oriented Method and Random Forest Model Using Unmanned Aerial Vehicle (UAV) Multispectral Image," Agriculture, MDPI, vol. 14(4), pages 1-17, March.
    20. Ramos, Tiago B. & Castanheira, Nádia & Oliveira, Ana R. & Paz, Ana Marta & Darouich, Hanaa & Simionesei, Lucian & Farzamian, Mohammad & Gonçalves, Maria C., 2020. "Soil salinity assessment using vegetation indices derived from Sentinel-2 multispectral data. application to Lezíria Grande, Portugal," Agricultural Water Management, Elsevier, vol. 241(C).
    21. Shuoyang Li & Guiyu Yang & Cui Chang & Hao Wang & Hongling Zhang & Na Zhang & Zhigong Peng & Yaomingqi Song, 2024. "Remote Sensing Inversion of Salinization Degree Distribution and Analysis of Its Influencing Factors in an Arid Irrigated District," Land, MDPI, vol. 13(4), pages 1-18, March.
    22. repec:caa:jnlswr:v:preprint:id:5-2024-swr is not listed on IDEAS
    23. Romeu Gerardo & Isabel P. de Lima, 2022. "Sentinel-2 Satellite Imagery-Based Assessment of Soil Salinity in Irrigated Rice Fields in Portugal," Agriculture, MDPI, vol. 12(9), pages 1-20, September.
    24. Weitao Lv & Xiasong Hu & Xilai Li & Jimei Zhao & Changyi Liu & Shuaifei Li & Guorong Li & Haili Zhu, 2024. "Multi-Model Comprehensive Inversion of Surface Soil Moisture from Landsat Images Based on Machine Learning Algorithms," Sustainability, MDPI, vol. 16(9), pages 1-21, April.

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