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Journal articles on the topic 'Desertification'

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1

Middleton, N. J. "Desertification." Journal of Arid Environments 23, no. 4 (1992): 456–57. http://dx.doi.org/10.1016/s0140-1963(18)30626-8.

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Habib, Benbader, Mohamed Saadaoui, Abdallah Boumakhleb, et al. "Aspects of the ecosystem services threatened by desertification in Algerian steppe rangelands: concepts, status and stakes." Journal of Agriculture and Applied Biology 5, no. 1 (2024): 1–17. http://dx.doi.org/10.11594/jaab.05.01.01.

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This study focuses on the imminent threat of desertification within Djelfa's steppe grazing lands, emphasizing its implications for land management and the sustainability of livestock practices. The methodology adopted employs a stringent approach that commences with a precise definition of desertification as a critical risk. It then proceeds to thoroughly assess the susceptibility of the local ecosystem to this phenomenon and delineates its consequential impact on both the human inhabitants and the surrounding environment. This comprehensive analysis effectively contextualizes human activitie
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3

Liu, Q. G. "Spatial and Temporal Changes and Driving Factors of Desertification Around Qinghai Lake, China." Nature Environment and Pollution Technology 22, no. 1 (2023): 119–27. http://dx.doi.org/10.46488/nept.2023.v22i01.010.

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The area around Qinghai Lake is one of the most serious desertification areas on the Qinghai-Tibet Plateau. In this paper, combined with field investigation and indoor analysis, the classification and grading system of desertification around Qinghai Lake was established. On this basis, through remote sensing data processing and parameter inversion, the desertification monitoring index model was established. Based on the analysis of Landsat-5/TM remote sensing data from 1990 to 2020, the dynamic change characteristics of desertification land around Qinghai Lake in recent 30 years were obtained.
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Feng, Yuanyuan, Shihang Wang, Mingsong Zhao, and Lingmei Zhou. "Monitoring of Land Desertification Changes in Urat Front Banner from 2010 to 2020 Based on Remote Sensing Data." Water 14, no. 11 (2022): 1777. http://dx.doi.org/10.3390/w14111777.

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Monitoring the spatio-temporal dynamics of desertification is critical for desertification control. Using the Urat front flag as the study area, Landsat remote sensing images between 2010 and 2020 were selected as data sources, along with MOD17A3H as auxiliary data. Additionally, RS and GIS theories and methods were used to establish an Albedo–NDVI feature space based on the normalized difference vegetation index (NDVI) and land surface albedo. The desertification difference index (DDI) was developed to investigate the dynamic change and factors contributing to desertification in the Urat fron
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Dr., Khalid Bouraada, Guy Chavanon Pr., and Mariam Essafi Dr. "BIOLOGICAL’S INDICATORS OF DESERTIFICATION IN MOROCCO." International Journal of Engineering Research and Modern Education (IJERME) 1, no. 2 (2016): 84–91. https://doi.org/10.5281/zenodo.154114.

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<em>In this study we have established desertification’s biotic indices which allowed us to select thirty Saharan species bio-indicators of desertification put in evidence a drought thrust gradient from south to north (Merzouga, Erfoud, Boudnib and Figuig) which we can distinguish a group of Saharan species that is only found in the Saharan stations indicating a normal desertification is the case : Ammogiton peltieri jolyi espanol, Anemia Scelosodis laticollis Chatanay Erodius exilipes Lucas, Podalgus cuniculus reichei, Ocnera hispida Forskal, Prionotheca coronata Ol., Mesostene angustata E. (s
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Yang, Wei, and Shu Wen Zhang. "Monitoring Desertification Process in Songnen Sandy Land during the past 10 Years." Advanced Materials Research 518-523 (May 2012): 4740–44. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4740.

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In this paper, we used MODIS remote sensing image data of Songnen Sandy Land in July 2000 and 2010, extracted the value of MSAVI and vegetation cover index. Based on their values, degrees of desertification were classified including: un-desertification, micro-desertification, mild desertification, moderate desertification and severe desertification. The result show that the area of the desertification decreased in the past 10 years. The desertification is under a decreasing trend.
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Ying, Bin, Shi Zhen Xiao, Kang Ning Xiong, Qi Wei Chen, and Jing Sheng Luo. "The Distribution Characteristics of Rocky Desertification and Land Use/Land Cover in Karst Gorge Area." Advanced Materials Research 518-523 (May 2012): 4661–69. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4661.

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The Huajiang Demonstration Area, which is a representative karst area with typical rocky desertification landscape in Guizhou was chosen as the study area. Based on the 5m resolution Spot 5 remote sensing images, the topographic maps (1:10 000) and the land use map etc, the rocky desertification of the area was interpreted. We took quantitative analysis through introducing two concepts: the rocky desertification occurrence among land use/land cover and the land use/ cover structure value of rocky desertification. The data showed that(1) the proportion of highly steep slopes in the study area i
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8

Liu, Zhihui, Long Ma, Tingxi Liu, Zixu Qiao, and Yang Chen. "Influence of Key Climate Factors on Desertification in Inner Mongolia." Atmosphere 14, no. 9 (2023): 1404. http://dx.doi.org/10.3390/atmos14091404.

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Desertification is a major environmental problem facing the world today, and climate change is an important factor influencing desertification. This study investigates the impact of changes in key climate factors on desertification based on normalized difference vegetation index data, precipitation data and evaporation data from Inner Mongolia between 1982 and 2020 using correlation analysis, regression modelling, and residual analysis. The results show that precipitation and evaporation are significantly correlated with mild desertification and severe desertification, respectively, with corre
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9

Xu, Liting, and Xuxun Zheng. "Research Progress of Desertification Control in China." Journal of Sustainable Civil Engineering and Technology 3, no. 2 (2024): 129–40. http://dx.doi.org/10.24191/jscet.v3i2.129-140.

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Desertification is a change in soil properties, vegetation, or climate that leads to the ongoing loss of ecosystem services essential for sustaining life. Desertification affects large areas of dry land around the world and is a major cause of stress in human societies. Desertification is a serious ecological problem in China. Desertification has seriously affected vegetation growth, food security, and human economy, and has caused certain adverse effects on the natural environment and social environment. Based on the causes of desertification and the present situation of desertification, this
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10

Xie, Jiali, Zhixiang Lu, and Kun Feng. "Effects of Climate Change and Human Activities on Aeolian Desertification Reversal in Mu Us Sandy Land, China." Sustainability 14, no. 3 (2022): 1669. http://dx.doi.org/10.3390/su14031669.

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The aeolian desertification in Mu Us Sandy Land (MUSL) in northern China have been paid much attention, but the relative contributions of climate change and human activities to desertification dynamics are still not clear. Based on the Landsat MSS, TM, ETM+ and OLI images in 1975, 1990, 1995, 2000, 2005, 2010 and 2015, we developed a database of aeolian desertification land distribution, discussed the spatial and temporal variation of aeolian desertification, and discovered the relative contributions of climate change and human activities to desertification reversal, using the trends of the po
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11

Jia, Hong, Rui Wang, Hang Li, et al. "The Changes of Desertification and Its Driving Factors in the Gonghe Basin of North China over the Past 10 Years." Land 12, no. 5 (2023): 998. http://dx.doi.org/10.3390/land12050998.

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Desertification is one of the most severe environmental and socioeconomic issues facing the world today. Gonghe Basin is located in the monsoon marginal zone of China, is a sensitive area of climate change in the northeastern of the Qinghai-Tibet Plateau in China, desertification issue has become very severe. Remote sensing monitoring provides an effective technical means for desertification control. In this study, we used Landsat images in 2010 and 2020 to extract desertification information to constructed the Albedo-NDVI feature space in the Gonghe Basin. And then analyzed temporal and spati
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12

Bartuska, Ann. "Beyond desertification." Frontiers in Ecology and the Environment 13, no. 1 (2015): 3. http://dx.doi.org/10.1890/1540-9295-13.1.3.

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13

Weissmann, Haim, and Nadav M. Shnerb. "Stochastic desertification." EPL (Europhysics Letters) 106, no. 2 (2014): 28004. http://dx.doi.org/10.1209/0295-5075/106/28004.

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14

Verón, S. R., J. M. Paruelo, and M. Oesterheld. "Assessing desertification." Journal of Arid Environments 66, no. 4 (2006): 751–63. http://dx.doi.org/10.1016/j.jaridenv.2006.01.021.

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15

Mabbutt, J. A. "Desertification indicators." Climatic Change 9, no. 1-2 (1986): 113–22. http://dx.doi.org/10.1007/bf00140530.

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16

Cao, Jiaju, Xingping Wen, Meimei Zhang, Dayou Luo, and Yinlong Tan. "Information Extraction and Prediction of Rocky Desertification Based on Remote Sensing Data." Sustainability 14, no. 20 (2022): 13385. http://dx.doi.org/10.3390/su142013385.

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Rock desertification has become the third most serious ecological problem in western China after desertification and soil erosion. It is also the primary environmental problem to be solved in the karst region of southwest China. Karst landscapes in China are mainly distributed in southwest China, and the area centered on the Guizhou plateau is the center of karst landscape development in southern China. It has a fragile ecological environment, and natural factors and human activities have influenced the development of stone desertification in the karst areas to different degrees. In this paper
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17

Aslanov, Ilhomjon, Nozimjon Teshaev, Kholmurod Khayitov, Uzbekkhon Mukhtorov, Jamila Khaitbaeva, and Dilrabo Murodova. "Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine." E3S Web of Conferences 443 (2023): 06015. http://dx.doi.org/10.1051/e3sconf/202344306015.

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Desertification is a significant environmental issue affecting arid and semi-arid regions globally, including Central Asia. Monitoring and analyzing desertification trends is crucial for understanding the extent of land degradation and implementing effective management strategies. This literature review aims to provide an overview of existing research on analyzing desertification trends in Central Asia using MODIS data and the application of Google Earth Engine for analysis. Remote Sensing and Desertification Monitoring: Remote sensing techniques, particularly those utilizing satellite data, h
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Ren, Yu, Xiangjun Liu, Bo Zhang, and Xidong Chen. "Sensitivity Assessment of Land Desertification in China Based on Multi-Source Remote Sensing." Remote Sensing 15, no. 10 (2023): 2674. http://dx.doi.org/10.3390/rs15102674.

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Desertification, a current serious global environmental problem, has caused ecosystems and the environment to degrade. The total area of desertified land is about 1.72 million km2 in China, which is extensively affected by desertification. Estimating land desertification risks is the top priority for the sustainable development of arid and semi-arid lands in China. In this study, the Mediterranean Desertification and Land Use (MEDALUS) model was used to assess the sensitivity of land desertification in China. Based on multi-source remote sensing data, this study integrated natural and human fa
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19

Yi, Ta Na, Li Xin Wang, Hua Min Liu, and Yi Zhuo. "The Land Desertification Change of Wuliangsu Lake." Advanced Materials Research 955-959 (June 2014): 3724–29. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.3724.

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This paper analyzes the long-terms (from 1987 to 2010) land desertification in Wuliangsu Lake by interpreting TM images in 1987, 2000 and 2010, and then the land desertification information divided into five different levels by Albedo-NDVI feature space, these five levels represent the different desertification land covering types. Also we explored the change trend among different types of land desertification though the adoption of Markov model, the results suggests that there is a significant increasing of extremely serious desertification land from 1987 to 2000, which indicates the deterior
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20

Liang, Xiya, Pengfei Li, Juanle Wang, et al. "Research Progress of Desertification and Its Prevention in Mongolia." Sustainability 13, no. 12 (2021): 6861. http://dx.doi.org/10.3390/su13126861.

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Mongolia is a globally crucial region that has been suffering from land desertification. However, current understanding on Mongolia’s desertification is limited, constraining the desertification control and sustainable development in Mongolia and even other parts of the world. This paper studied spatiotemporal patterns, driving factors, mitigation strategies, and research methods of desertification in Mongolia through an extensive review of literature. Results showed that: (i) remote sensing monitoring of desertification in Mongolia has been subject to a relatively low spatial resolution and c
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21

Liao, Jie, Xianzhong Yang, Qiyan Ye, et al. "Assessing Spatial–Temporal Characteristics of Land Desertification from 1990 to 2020 in the Heihe River Basin Using Landsat Series Imagery." Sustainability 16, no. 15 (2024): 6556. http://dx.doi.org/10.3390/su16156556.

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Monitoring the status and dynamics of desertification is one of the most important parts of combating it. In this study, 30 m high-resolution information on land desertification and restoration in the Heihe River basin (HRB) was extracted from the land cover database. The results indicate that land desertification coexists with land restoration in the HRB. In different periods, the area of land restoration was much larger than the area of land desertification in the HRB, and the HRB has undergone land restoration. Upstream of the HRB, there is a continuing trend of increasing land desertificat
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22

Sterk, Geert, and Jetse J. Stoorvogel. "Desertification–Scientific Versus Political Realities." Land 9, no. 5 (2020): 156. http://dx.doi.org/10.3390/land9050156.

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Desertification is defined as land degradation occurring in the global drylands. It is one of the global problems targeted under the Sustainable Development Goals (SDG 15). The aim of this article is to review the history of desertification and to evaluate the scientific evidence for desertification spread and severity. First quantitative estimates of the global extent and severity of desertification were dramatic and resulted in the establishment of the UN Convention to Combat Desertification (UNCCD) in 1994. UNCCD’s task is to mitigate the negative impacts of desertification in drylands. Sin
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Jin, Ao, Kangning Xiong, Juan Hu, Anjun Lan, and Shirong Zhang. "Remote Sensing Ecological Quality and Its Response to the Rocky Desertification in the World Heritage Karst Sites." Land 13, no. 4 (2024): 410. http://dx.doi.org/10.3390/land13040410.

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Clarifying the spatial and temporal evolution characteristics of the ecological environment quality of World Heritage Karst Sites (WHKSs) and its response to different rocky desertification grades at spatial scales is crucial for the monitoring and protection of WHKSs as well as the implementation of ecological and environmental policies in karst regions. The ecological evaluation model of Remote Sensing Ecological Index (RSEI) was used to evaluate the ecological environment of Libo–Huanjiang World Heritage Karst site and Shibing World Heritage Karst site, and then the spatial autocorrelation
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24

Ding, Dengshan, Haosheng Bao, and Yongli Ma. "Progress in the study of desertification in China." Progress in Physical Geography: Earth and Environment 22, no. 4 (1998): 551–57. http://dx.doi.org/10.1177/030913339802200404.

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The study of desertification in China began in 1977 with the UN Conference on Desertification. Since then, much progress has been made. This article reviews progress over the last five years in China. A brief description of desertification research in China is given, and developments and changes in the definition of desertification described. Finally, the causes and patterns of desertification are discussed.
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Lu, Chun, Hui Hui Zhang, and Chi Ma. "The Analysis on Dynamic Changes of Land Desertification and Salinization Based on RS and GIS." Advanced Materials Research 726-731 (August 2013): 4668–73. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4668.

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Abstract:For studying the characters of dynamic changes of land Desertification in Songnen Plain, this paper makes use of remote sensing data and geography information system technology and introduces some characteristic parameters, such as the degree of desertification change, to get the numerical value of these characters. The research result shows that: in 1975-1988, the land area of desertification increases rapidly; the deterioration in the border region of land desertification is stronger than that in the center; and in 1988-2001, the area of desertification decreases slowly, the reversi
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Qian, Chunhua, Hequn Qiang, Changyou Qin, Zi Wang, and Mingyang Li. "Spatiotemporal Evolution Analysis and Future Scenario Prediction of Rocky Desertification in a Subtropical Karst Region." Remote Sensing 14, no. 2 (2022): 292. http://dx.doi.org/10.3390/rs14020292.

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Landscape change is a dynamic feature of landscape structure and function over time which is usually affected by natural and human factors. The evolution of rocky desertification is a typical landscape change that directly affects ecological environment governance and sustainable development. Guizhou is one of the most typical subtropical karst landform areas in the world. Its special karst rocky desertification phenomenon is an important factor affecting the ecological environment and limiting sustainable development. In this paper, remote sensing imagery and machine learning methods are util
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Xie, Jiali, Zhixiang Lu, Shengchun Xiao, and Changzhen Yan. "The Latest Desertification Process and Its Driving Force in Alxa League from 2000 to 2020." Remote Sensing 15, no. 19 (2023): 4867. http://dx.doi.org/10.3390/rs15194867.

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Alxa League of Inner Mongolia Autonomous Region is a concentrated desert distribution area in China, and the latest desertification process and its driving mechanism under the comprehensive influence of the extreme dry climate and intense human activities has attracted much attention. Landsat data, including ETM+ images obtained in 2000, TM images obtained in 2010, and OLI images obtained in 2020, were used to extract three periods of desertification land information using the classification and regression tree (CART) decision tree classification method in Alxa League. The spatio-temporal vari
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Guo, Bing, Rui Zhang, Miao Lu, Mei Xu, Panpan Liu, and Longhao Wang. "A New Large-Scale Monitoring Index of Desertification Based on Kernel Normalized Difference Vegetation Index and Feature Space Model." Remote Sensing 16, no. 10 (2024): 1771. http://dx.doi.org/10.3390/rs16101771.

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As a new vegetation monitoring index, the KNDVI has certain advantages in characterizing the evolutionary process of regional desertification. However, there are few reports on desertification monitoring based on KNDVI and feature space models. In this study, seven feature parameters, including the kernel normalized difference vegetation index (KNDVI) and Albedo, were introduced to construct different models for desertification remote-sensing monitoring. The optimal desertification remote-sensing monitoring index model was determined with the measured data; then, the spatiotemporal evolution p
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Ji, Xinyang, Jinzhong Yang, Jianyu Liu, et al. "Analysis of Spatial-Temporal Changes and Driving Forces of Desertification in the Mu Us Sandy Land from 1991 to 2021." Sustainability 15, no. 13 (2023): 10399. http://dx.doi.org/10.3390/su151310399.

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Desertification is one of the most critical environmental and socioeconomic issues in the world today. Located in the transitional region between the desert and the Loess Plateau, the Mu Us Sandy Land is one of the nine most environmentally sensitive areas in the world. Remote sensing provides an effective technical method for desertification monitoring. In order to analyze the spatiotemporal distribution of desertification in the Mu Us Sandy Land from 1991 to 2021, the “MSAVI-Albedo” model was employed to extract desertification data in 1991, 2002, 2009 and 2021. The clustering characteristic
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Li, Haohui, Kai Yang, Yang Cui, et al. "Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000." Remote Sensing 16, no. 19 (2024): 3706. http://dx.doi.org/10.3390/rs16193706.

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Desertification greatly threatens the ecological environment and sustainable development over approximately 30% of global land. In this study, the contributions of climate drivers and human activity in shaping the desertification process from 1984 to 2014 were quantified in the desertification-prone region (DPR) in Northern China (NC) by employing net primary productivity (NPP) as a proxy. The results reveal that 72.74% of the DPR experienced desertification mitigation and 27.26% experienced exacerbation. Climate drivers acted as primary drivers, contributing to both the mitigation (47.2%) and
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31

Xie, Zhen Hong. "Research Advance in Remote Sensing to Land Desertification Monitoring." Advanced Materials Research 864-867 (December 2013): 2817–20. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.2817.

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This Land desertification has been a worldwide ecological and environmental problem. It is the significance for effective remedy of land desertification to monitor the desertification ,know well the present situation ,intensity as well as dynamic variation rules of the desertification. In recent years, remote sensing has become an important technology to monitor land desertification.Firstly, we summarize the research progress in monitoring land desertification using remote sensing data acquisition.Then, we discuss about themethods to extract information of land desertification from remote sens
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Gao, Weijie, Siyi Zhou, and Xiaojie Yin. "Spatio-Temporal Evolution Characteristics and Driving Factors of Typical Karst Rocky Desertification Area in the Upper Yangtze River." Sustainability 16, no. 7 (2024): 2669. http://dx.doi.org/10.3390/su16072669.

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Karst rocky desertification (KRD) has become the most serious ecological disaster in the southwest of China and is a major obstacle to the sustainable development of the karst region in the southwest. Remarkably, scientific understanding of the spatial-temporal evolution of rocky desertification and the corresponding driving mechanism is the primary prerequisite crucial to controlling rocky desertification. Hence, the typical rocky desertification area of Qujing City, located in the upper reaches of the Yangtze River, was selected as the research object. On the basis of the Google Earth Engine
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Sun, Haojun, Shaoyun Zhang, Songyang He, and Zecheng Liu. "Characteristics and Forecasting of Rocky Desertification Dynamics in the Pearl River Source Region from 1990 to 2030." Land 14, no. 5 (2025): 984. https://doi.org/10.3390/land14050984.

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Rocky desertification is a significant ecological issue in the karst regions of Southwest China, severely affecting both the environment and local livelihoods. Accurate extraction and prediction of rocky desertification are critical for its prevention and control, playing a crucial role in advancing ecological civilization and sustainable land management. This study focuses on the Pearl River source area in Yunnan, analyzing dynamic changes in rocky desertification over eight periods from 1990 to 2023, using long-term remote sensing data and multi-source reference data. It also predicts the in
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Xu, Xue, Luyao Liu, Peng Han, Xiaoqian Gong, and Qing Zhang. "Accuracy of Vegetation Indices in Assessing Different Grades of Grassland Desertification from UAV." International Journal of Environmental Research and Public Health 19, no. 24 (2022): 16793. http://dx.doi.org/10.3390/ijerph192416793.

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Grassland desertification has become one of the most serious environmental problems in the world. Grasslands are the focus of desertification research because of their ecological vulnerability. Their application on different grassland desertification grades remains limited. Therefore, in this study, 19 vegetation indices were calculated for 30 unmanned aerial vehicle (UAV) visible light images at five grades of grassland desertification in the Mu Us Sandy. Fractional Vegetation Coverage (FVC) with high accuracy was obtained through Support Vector Machine (SVM) classification, and the results w
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Wang, Yongfang, Enliang Guo, Yao Kang, and Haowen Ma. "Assessment of Land Desertification and Its Drivers on the Mongolian Plateau Using Intensity Analysis and the Geographical Detector Technique." Remote Sensing 14, no. 24 (2022): 6365. http://dx.doi.org/10.3390/rs14246365.

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Desertification is one of the most harmful ecological disasters on the Mongolian Plateau, placing the grassland ecological environment under great pressure. Remote-sensing monitoring of desertification and exploration of the drivers behind it are important for effectively combating this issue. In this study, four banners/counties on the border of China and Mongolia on the Mongolian Plateau were selected as the target areas. We explored desertification dynamics and their drivers by using remote sensing imagery and a product dataset for the East Ujimqin Banner and three counties in Mongolia duri
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36

Naifeisai, Abudukeremu·, and Xinglei Chen. "Investigation and Evaluation of the Effectiveness of Land Desertification Control in Yili Area, Xinjiang." Frontiers in Humanities and Social Sciences 3, no. 4 (2023): 95–98. http://dx.doi.org/10.54691/fhss.v3i4.4773.

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At present, land desertification is still a serious ecological environment problem in China. Xinjiang is the administrative region with the largest desertified soil area in China and the most severe wind and sand damage. This paper chooses Yili area of Xinjiang as an example to study the situation of soil desertification prevention and control, and summarizes the control mode of soil desertification, and uses comparative analysis method to analyze its soil desertification prevention and ecological benefits. Propose the effectiveness of improving and controlling land desertification, and improv
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Yi, Yang, Mingchang Shi, Jie Wu, Na Yang, Chen Zhang, and Xiaoding Yi. "Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years." Remote Sensing 15, no. 1 (2023): 279. http://dx.doi.org/10.3390/rs15010279.

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Background: Desertification is one of the main obstacles to global sustainable development. Monitoring, evaluating and mastering its driving factors are very important for the prevention and control of desertification. As one of the largest deserts in China, the development of desertification in Otindag Sandy Land (OSL) resulted in the reduction in land productivity and serious ecological/environmental consequences. Although many ecological restoration projects have been carried out, the vegetation restoration of OSL and the impact mechanism of climate and human activities on desertification r
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38

Khosravi, H., G. R. Zehtabian, H. Eskandari Damaneh, and A. Abolhasani. "ASSESSMENT AND MAPPING OF IRAN DESERTIFICATION INTENSITY USING ARCGIS ENVIRONMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 639–44. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-639-2019.

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Abstract. Desertification phenomenon is described as one of the most obvious forms of natural resources degradation in the world. This phenomenon, which occurs because of natural factors or anthropogenic factors, is accounted as the third most important global challenge after crisis of water shortage and drought in the 21st century. Awareness of desertification criteria and indicators, investigation of a regional model and determining the most important factors affecting desertification are essential for combating desertification. So in this study, IMDPA model (Iranian Model of Desertification
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Yang, Jingyi, Qinjun Wang, Dingkun Chang, Wentao Xu, and Boqi Yuan. "A High-Precision Remote Sensing Identification Method for Land Desertification Based on ENVINet5." Sensors 23, no. 22 (2023): 9173. http://dx.doi.org/10.3390/s23229173.

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Land desertification is one of the serious ecological and environmental problems facing mankind today, which threatens the survival and development of human society. China is one of the countries with the most serious land desertification problems in the world. Therefore, it is of great theoretical value and practical significance to carry out accurate identification and monitoring of land desertification and its influencing factors in ecologically fragile areas of China. This is conducive to curbing land desertification and ensuring regional ecological security. Minqin County, Gansu Province,
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Aldabbagh, Yasir Abdulameer Nayyef, Helmi Zulhaidi Mohd Shafri, Shattri Mansor, and Mohd Hasmadi Ismail. "Desertification Susceptibility Assessment Using Expert-Based Approach in Al-Khidhir District, Southern Iraq." International Journal of Environmental Science and Development 14, no. 6 (2023): 364–72. http://dx.doi.org/10.18178/ijesd.2023.14.6.1456.

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Desertification is a serious threat to environment, agriculture, and public health all over the world. Iraq is concerned about desertification, particularly in the southern regions. As a result, this project will use geospatial methodologies to measure desertification susceptibility in Al-Khidhir, Al-Muthanna. The assessment was based on Landsat 5 TM data from 1998, Landsat 7 ETM+ data from 2008, and Landsat 8 OLI data from 2018. A Multicriteria Decision-Making (MCDM) technique based on the Analytic Hierarchy Process (AHP) was developed to assess the spatial distribution of desertification in
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Cao, Xiaoming, Mengchun Cui, Lei Xi, and Yiming Feng. "Spatial-Temporal Process of Land Use/Land Cover and Desertification in the Circum-Tarim Basin during 1990–2020." Land 13, no. 6 (2024): 735. http://dx.doi.org/10.3390/land13060735.

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The problem of desertification in the Tarim Basin, an area with a unique geography and climatic conditions, has received extensive research attention not only in China but also around the world. Between natural factors and human activities, the latter are considered the main cause of desertification, with the excessive use of land resources accelerating its risk. This study classified the degree of desertification into five types, no, light, moderate, severe, and extremely severe desertification, and focused on the spatio-temporal changes in LULC, desertification development, and their relatio
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Smith, Rachel. "Disasters and Archaeology: A Remote Sensing Approach for Determination of Archaeology At-Risk to Desertification in Sistan." Remote Sensing 16, no. 13 (2024): 2382. http://dx.doi.org/10.3390/rs16132382.

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Desertification in semi-arid environments poses a significant risk to the archaeology within arid and semi-arid regions. Due to multiple political and physical barriers, accessing desertification-prone areas is complex, complicating pathways towards generating a hands-on understanding of the time–depth and distribution of archaeology throughout these regions. This research developed a remote sensing methodology to determine the areas of Sistan experiencing the highest levels of desertification and the threat of that desertification to known and potential archaeology. As desertification process
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Guo, Bing, Fei Yang, Junfu Fan, and Yuefeng Lu. "The Changes of Spatiotemporal Pattern of Rocky Desertification and Its Dominant Driving Factors in Typical Karst Mountainous Areas under the Background of Global Change." Remote Sensing 14, no. 10 (2022): 2351. http://dx.doi.org/10.3390/rs14102351.

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There are significant differences in the dominant driving factors of rocky desertification evolution in different historical periods in southwest karst mountainous areas. However, previous studies were mostly conducted in specific periods. In this study, taking Bijie City as an example, the spatial and temporal evolution pattern of rocky desertification in Bijie City in the recent 35 years was analyzed by introducing the feature space model and the gravity center model, and then the dominant driving factors of rocky desertification in the study area in different historical periods were clarifi
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Martínez-Valderrama, Jaime, Gabriel del Barrio, María E. Sanjuán, Emilio Guirado, and Fernando T. Maestre. "Desertification in Spain: A Sound Diagnosis without Solutions and New Scenarios." Land 11, no. 2 (2022): 272. http://dx.doi.org/10.3390/land11020272.

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The latest world atlas of desertification represents a turning point in the diagnosis of desertification. While it forgoes desertification mapping due to the intrinsic complexity of the phenomenon and the impossibility of measuring it using a single indicator, it introduces the convergence of evidence paradigm, which identifies socioeconomic and biophysical variables whose behaviour allows pointing out those areas prone to desertification. The Spanish National Action Program Against Desertification (PAND), back in 2008, already implemented a similar approach to identify five “desertification l
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Chen, Xiaowen, Naiang Wang, Simin Peng, Nan Meng, and Haoyun Lv. "Analysis of Spatiotemporal Dynamics of Land Desertification in Qilian Mountain National Park Based on Google Earth Engine." ISPRS International Journal of Geo-Information 13, no. 4 (2024): 117. http://dx.doi.org/10.3390/ijgi13040117.

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Notwithstanding the overall improvement in the ecological condition of the Qilian Mountains, there are localized occurrences of grassland degradation, desertification, and salinization. Moreover, timely and accurate acquisition of desertification information is a fundamental prerequisite for effective monitoring and prevention of desertification. Leveraging the Google Earth Engine (GEE) platform in conjunction with machine learning techniques, this study aims to identify and extract the spatiotemporal dynamics of desertification in the Qilian Mountain National Park (QMNP) and its surroundings
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Ren, Yu, and Xidong Chen. "Assessment and Driving Factors of Desertification Vulnerability in the Mu Us Sandy Land, China: A MEDALUS-Based Approach." Journal of Environmental & Earth Sciences 7, no. 6 (2025): 213–26. https://doi.org/10.30564/jees.v7i6.8974.

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As a major worldwide issue, desertification poses significant threats to ecosystem stability and long-term socio-economic growth. Within China, the Mu Us Sandy land represents a crucial region for studying desertification phenomena. Comprehending how desertification risks are distributed spatially and what mechanisms drive them remains fundamental for implementing effective strategies in land management and risk mitigation. Our research evaluated desertification vulnerability across the Mu Us Sandy land by applying the MEDALUS model, while investigating causal factors via geographical detector
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Zhang, J. Y., M. H. Dai, L. C. Wang, C. F. Zeng, and W. C. Su. "The challenge and future of rocky desertification control in Karst areas in Southwest China." Solid Earth Discussions 7, no. 4 (2015): 3271–92. http://dx.doi.org/10.5194/sed-7-3271-2015.

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Abstract. Karst rocky desertification occurs after vegetation deteriorates as a result of intensive land use, which leads to severe water loss and soil erosion and exposes basement rocks, creating a rocky landscape. The karst rocky desertification is found in humid areas in Southwest China, the region most seriously affected by rocky desertification in the world. In order to promote ecological restoration and help peasants out of poverty, the Chinese government carried out the first phase of a rocky desertification control project from 2006 to 2015, which initially contained the expansion of r
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Zhang, Nannnan, Rongbao Wang, and Feng Zhang. "RESEARCH AND APPLICATION OF REMOTE SENSING MONITORING METHOD FOR DESERTIFICATION LAND UNDER TIME AND SPACE CONSTRAINTS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3 (April 23, 2018): 259–65. http://dx.doi.org/10.5194/isprs-annals-iv-3-259-2018.

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Serious land desertification and sandified threaten the urban ecological security and the sustainable economic and social development. In recent years, a large number of mobile sand dunes in Horqin sandy land flow into the northwest of Liaoning Province under the monsoon, make local agriculture suffer serious harm. According to the characteristics of desertification land in northwestern Liaoning, based on the First National Geographical Survey data, the Second National Land Survey data and the 1984&amp;amp;ndash;2014 Landsat satellite long time sequence data and other multi-source data, we con
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Zhang, J. Y., M. H. Dai, L. C. Wang, C. F. Zeng, and W. C. Su. "The challenge and future of rocky desertification control in karst areas in southwest China." Solid Earth 7, no. 1 (2016): 83–91. http://dx.doi.org/10.5194/se-7-83-2016.

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Abstract. Karst rocky desertification occurs after vegetation deteriorates as a result of intensive land use, which leads to severe water loss and soil erosion and exposes basement rocks, creating a rocky landscape. Karst rocky desertification is found in humid areas in southwest China, the region most seriously affected by rocky desertification in the world. In order to promote ecological restoration and help peasants out of poverty, the Chinese government carried out the first phase of a rocky desertification control project from 2006 to 2015, which initially contained the expansion of rocky
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Jiang, Zhaolin, Xiliang Ni, and Minfeng Xing. "A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020." Remote Sensing 15, no. 5 (2023): 1368. http://dx.doi.org/10.3390/rs15051368.

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Desertification is of significant concern as one of the world’s most serious ecological and environmental problems. China has made great achievements in afforestation and desertification control in recent years. The climate varies greatly across northern China. Using a long-time series of remote sensing data to study the effects of desertification will further the understanding of China’s desertification control engineering and climate change mechanisms. The moist index was employed in this research to determine the climate type and delineate the potential occurrence range of desertification i
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