Articles | Volume 7, issue 2
https://doi.org/10.5194/se-7-341-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-341-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modeling the contributing factors of desertification and evaluating their relationships to the soil degradation process through geomatic techniques
Institute of Remote Sensing, Anna University, Chennai, India
S. S. Ramakrishnan
Institute of Remote Sensing, Anna University, Chennai, India
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- A statistical approach to map saline and fluoride (F) affected areas using optical and microwave remote sensing data simulations: A case study in Palacode Taluk, Tamil Nadu, India N. Gopi & R. Annadurai 10.1016/j.rsase.2024.101207
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- Spatial Monitoring of Desertification Extent in Western Iraq using Landsat Images and GIS Q. Ajaj et al. 10.1002/ldr.2775
- Investigation of Desiccation Cracking Behavior of Waste Carbon Fiber–Reinforced Clay Material F. Chen et al. 10.3390/buildings14072081
- Systematic discrimination of irrigation and upheaval associated salinity using multitemporal SAR data K. Ravi & S. Periasamy 10.1016/j.scitotenv.2021.148148
- Impacts of refugees and climate change on agricultural yields in the Sahelian zone of Minawao, Cameroon P. Kodji et al. 10.1016/j.envc.2021.100108
- Long term monitoring and assessment of desertification processes using medium & high resolution satellite data B. Christian et al. 10.1016/j.apgeog.2018.04.010
- Comparison of aeolian desertification between the Moltsog Dune Field in Mongolia and the Ujimqin Dune Field in China Z. Wu et al. 10.1002/ldr.4634
- Spatiotemporal Analysis of the Interactions between Ecosystem Services in Arid Areas and Their Responses to Urbanization and Various Driving Factors Z. Qiu et al. 10.3390/rs16030520
- Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years Y. Yi et al. 10.3390/rs15010279
- Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan Z. Faheem et al. 10.1016/j.ecolind.2024.111670
- Mapping sub-surface distribution of soil organic carbon stocks in South Africa's arid and semi-arid landscapes: Implications for land management and climate change mitigation O. Odebiri et al. 10.1016/j.geodrs.2024.e00817
- Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China K. Feng et al. 10.1016/j.ecolind.2021.107386
- Comparison of soil and hydroponic cultivation systems for spinach irrigated with brackish water L. Leal et al. 10.1016/j.scienta.2020.109616
- Multispectral and Microwave Remote Sensing Models to Survey Soil Moisture and Salinity S. Periasamy & R. Shanmugam 10.1002/ldr.2661
- Spatiotemporal changes in the Aeolian desertification of Hulunbuir Grassland and its driving factors in China during 1980–2015 R. Na et al. 10.1016/j.catena.2019.104123
- Determining the Extent of Soil Degradation Processes Using Trend Analyses at a Regional Multispectral Scale M. AbdelRahman et al. 10.3390/land12040855
- An integrated approach to investigate surface and root zone salinity from multispectral and microwave remote sensing techniques S. Periasamy & K. Ravi 10.1007/s13762-024-05513-y
- Desertification in the south Junggar Basin, 2000–2009: Part II. Model development and trend analysis M. Jiang & Y. Lin 10.1016/j.asr.2018.04.028
- Consortia of Plant-Growth-Promoting Rhizobacteria Isolated from Halophytes Improve the Response of Swiss Chard to Soil Salinization S. Redondo-Gómez et al. 10.3390/agronomy12020468
- Synergistic Effect of Plant-Growth-Promoting Rhizobacteria Improves Strawberry Growth and Flowering with Soil Salinization and Increased Atmospheric CO2 Levels and Temperature Conditions S. Redondo-Gómez et al. 10.3390/agronomy12092082
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Short summary
The paper systematically illustrates and identifies the causative factors of desertification processes through use of a geostatistical model. This paper also concentrates on studying and identifying the possible soil degradation processes which have been caused by prime factors. As such, this paper should be of interest to a broad readership including those interested in land degradation, environmental deterioration, desertification, remote sensing and geostatistical modeling.
The paper systematically illustrates and identifies the causative factors of desertification...