Articles | Volume 18, issue 4
https://doi.org/10.5194/nhess-18-1133-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-1133-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Apr 2018
Research article |
| 10 Apr 2018
| 10 Apr 2018
A new approach for land degradation and desertification assessment using geospatial techniques
Masoud Masoudi
CORRESPONDING AUTHOR
Department of Natural Resources and Environmental Engineering, Shiraz University, Iran
Parviz Jokar
Department of Natural Resources and Environmental Engineering, Shiraz University, Iran
Biswajeet Pradhan
School of Systems, Management and Leadership, Faculty of Engineering and Information Technology, University of Technology Sydney, Building 11, Level 06, 81 Broadway, Ultimo NSW 2007 (P.O. Box 123), Australia
Department of Energy and Mineral Resources Engineering, Choongmu-gwan,
Sejong University, 209 Neungdong-ro Gwangjin-gu, Seoul 05006,
Republic of Korea
Viewed
Total article views: 3,805 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Oct 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,868 | 1,819 | 118 | 3,805 | 82 | 96 |
- HTML: 1,868
- PDF: 1,819
- XML: 118
- Total: 3,805
- BibTeX: 82
- EndNote: 96
Total article views: 2,959 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Apr 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,451 | 1,406 | 102 | 2,959 | 74 | 83 |
- HTML: 1,451
- PDF: 1,406
- XML: 102
- Total: 2,959
- BibTeX: 74
- EndNote: 83
Total article views: 846 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Oct 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 417 | 413 | 16 | 846 | 8 | 13 |
- HTML: 417
- PDF: 413
- XML: 16
- Total: 846
- BibTeX: 8
- EndNote: 13
Viewed (geographical distribution)
Total article views: 3,805 (including HTML, PDF, and XML)
Thereof 3,557 with geography defined
and 248 with unknown origin.
Total article views: 2,959 (including HTML, PDF, and XML)
Thereof 2,748 with geography defined
and 211 with unknown origin.
Total article views: 846 (including HTML, PDF, and XML)
Thereof 809 with geography defined
and 37 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 citations as recorded by crossref.
- Risk Assessment of Land Degradation (RALDE) in Khuzestan Province, Iran M. Masoudi et al. 10.1134/S1064229321080135
- Assessing Land Degradation and its Drivers across the Rainfed Areas in Jordan during the Past two Decades Using Physical and Biophysical Satellite Metrics I. Oroud & A. Alghababsheh 10.1007/s40710-023-00644-9
- Risk assessment of land degradation (RALDE) model M. Masoudi et al. 10.1002/ldr.3883
- Geospatial analysis of land degradation by fuzzy membership algorithm in reference to Satna river basin in northern foreland of Peninsular India N. Tiwari & D. Mishra 10.1007/s12517-022-10324-x
- Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation H. Yu & L. Li 10.3390/su14095687
- Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India L. Malav et al. 10.3390/su141610198
- Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin C. Ogbue et al. 10.1016/j.ecolind.2023.111404
- Quantitative Assessment of Environmental Sensitivity to Desertification Using the Modified MEDALUS Model in a Semiarid Area S. Afzali et al. 10.3390/su13147817
- A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area A. Abolhasani et al. 10.1002/ldr.4391
- Spatial analysis of rangeland's vegetation intensity as related to selected physical soil variables over ABQAIQ municipality of Saudi Arabia M. Alzarah et al. 10.1016/j.sjbs.2020.11.060
- Desertification prediction with an integrated 3D convolutional neural network and cellular automata in Al-Muthanna, Iraq Y. Aldabbagh et al. 10.1007/s10661-022-10379-z
- Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models B. Das et al. 10.1007/s11356-023-28276-4
- Climate Change and Weather Extremes in the Eastern Mediterranean and Middle East G. Zittis et al. 10.1029/2021RG000762
- Desertification risk assessment in Turkey based on environmentally sensitive areas Ç. Uzuner & O. Dengiz 10.1016/j.ecolind.2020.106295
- A Review on Assessing and Mapping Soil Erosion Hazard Using Geo-Informatics Technology for Farming System Management S. Senanayake et al. 10.3390/rs12244063
- Efficiency Assessment of Desertification Model of IMDPA for Evaluating of Water and Wind Erosions M. Masoudi & S. Shirghir 10.52547/jwmr.12.23.12
- Mapping desertification degree and assessing its severity in Al-Ahsa Oasis, Saudi Arabia, using remote sensing-based indicators A. Salih et al. 10.1007/s12517-021-06523-7
- Assessing climatic, edaphic, vegetation cover data, and their trends around cities located in desert environments using online remote sensing A. Jamali et al. 10.1007/s10668-023-03550-0
- Application of nonlinear models and groundwater index to predict desertification case study: Sharifabad watershed V. Habibi et al. 10.1007/s11069-019-03769-z
- An integrated approach for the assessment and monitoring of land degradation and desertification in semi-arid regions using physico-chemical and geospatial modeling techniques P. Badapalli et al. 10.1007/s11356-022-23002-y
- Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images B. Pradhan et al. 10.1080/19475705.2018.1518880
- Modeling and Assessment of Land Degradation Vulnerability in Semi-arid Ecosystem of Southern India Using Temporal Satellite Data, AHP and GIS P. Sandeep et al. 10.1007/s10666-020-09739-1
- Natural And Human-Induced Land Degradation And Its Impact Using Geospatial Approach In The Kallar Watershed Of Tamil Nadu, India A. Rahaman S. & A. Solavagounder 10.24057/2071-9388-2020-105
- Land cover-adjusted index for the former Aral Sea using Landsat images I. Aslanov et al. 10.1051/e3sconf/202122702005
- Spatial and seasonal variations of sand-dust events and their relation to atmospheric conditions and vegetation cover in semi-arid regions of central Iran Z. Ebrahimi Khusfi et al. 10.1016/j.geoderma.2020.114225
- Land degradation assessment in the dust hotspot of Southeastern Ahvaz, Iran N. Poornazari et al. 10.1002/ldr.3748
26 citations as recorded by crossref.
- Risk Assessment of Land Degradation (RALDE) in Khuzestan Province, Iran M. Masoudi et al. 10.1134/S1064229321080135
- Assessing Land Degradation and its Drivers across the Rainfed Areas in Jordan during the Past two Decades Using Physical and Biophysical Satellite Metrics I. Oroud & A. Alghababsheh 10.1007/s40710-023-00644-9
- Risk assessment of land degradation (RALDE) model M. Masoudi et al. 10.1002/ldr.3883
- Geospatial analysis of land degradation by fuzzy membership algorithm in reference to Satna river basin in northern foreland of Peninsular India N. Tiwari & D. Mishra 10.1007/s12517-022-10324-x
- Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation H. Yu & L. Li 10.3390/su14095687
- Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India L. Malav et al. 10.3390/su141610198
- Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin C. Ogbue et al. 10.1016/j.ecolind.2023.111404
- Quantitative Assessment of Environmental Sensitivity to Desertification Using the Modified MEDALUS Model in a Semiarid Area S. Afzali et al. 10.3390/su13147817
- A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area A. Abolhasani et al. 10.1002/ldr.4391
- Spatial analysis of rangeland's vegetation intensity as related to selected physical soil variables over ABQAIQ municipality of Saudi Arabia M. Alzarah et al. 10.1016/j.sjbs.2020.11.060
- Desertification prediction with an integrated 3D convolutional neural network and cellular automata in Al-Muthanna, Iraq Y. Aldabbagh et al. 10.1007/s10661-022-10379-z
- Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models B. Das et al. 10.1007/s11356-023-28276-4
- Climate Change and Weather Extremes in the Eastern Mediterranean and Middle East G. Zittis et al. 10.1029/2021RG000762
- Desertification risk assessment in Turkey based on environmentally sensitive areas Ç. Uzuner & O. Dengiz 10.1016/j.ecolind.2020.106295
- A Review on Assessing and Mapping Soil Erosion Hazard Using Geo-Informatics Technology for Farming System Management S. Senanayake et al. 10.3390/rs12244063
- Efficiency Assessment of Desertification Model of IMDPA for Evaluating of Water and Wind Erosions M. Masoudi & S. Shirghir 10.52547/jwmr.12.23.12
- Mapping desertification degree and assessing its severity in Al-Ahsa Oasis, Saudi Arabia, using remote sensing-based indicators A. Salih et al. 10.1007/s12517-021-06523-7
- Assessing climatic, edaphic, vegetation cover data, and their trends around cities located in desert environments using online remote sensing A. Jamali et al. 10.1007/s10668-023-03550-0
- Application of nonlinear models and groundwater index to predict desertification case study: Sharifabad watershed V. Habibi et al. 10.1007/s11069-019-03769-z
- An integrated approach for the assessment and monitoring of land degradation and desertification in semi-arid regions using physico-chemical and geospatial modeling techniques P. Badapalli et al. 10.1007/s11356-022-23002-y
- Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images B. Pradhan et al. 10.1080/19475705.2018.1518880
- Modeling and Assessment of Land Degradation Vulnerability in Semi-arid Ecosystem of Southern India Using Temporal Satellite Data, AHP and GIS P. Sandeep et al. 10.1007/s10666-020-09739-1
- Natural And Human-Induced Land Degradation And Its Impact Using Geospatial Approach In The Kallar Watershed Of Tamil Nadu, India A. Rahaman S. & A. Solavagounder 10.24057/2071-9388-2020-105
- Land cover-adjusted index for the former Aral Sea using Landsat images I. Aslanov et al. 10.1051/e3sconf/202122702005
- Spatial and seasonal variations of sand-dust events and their relation to atmospheric conditions and vegetation cover in semi-arid regions of central Iran Z. Ebrahimi Khusfi et al. 10.1016/j.geoderma.2020.114225
- Land degradation assessment in the dust hotspot of Southeastern Ahvaz, Iran N. Poornazari et al. 10.1002/ldr.3748
Latest update: 18 Apr 2024
Short summary
The paper attempts to create a new technique for assessing the current state of land degradation. Assessment of land degradation is difficult, because it includes a complex process. This assessment, using RS and GIS seems to be more realistic in finding the degree of degradation, because it is more related to its impact on land productivity. It is hoped that this attempt, which is the first attempt of its kind in the world, will be found applicable for other regions.
The paper attempts to create a new technique for assessing the current state of land...
Altmetrics
Final-revised paper
Preprint