Correlation between Desertification and Environmental Variables Using Remote Sensing Techniques in Hogno Khaan, Mongolia

In this paper, we used Landsat thematic mapper (TM) and enhanced thematic mapper (ETM) data from 1990, 2002, and 2011 to analyze the spatial and temporal patterns of desertification using seven factors; the normalized difference vegetation index (NDVI), the topsoil grain size index (TGSI), land surface albedo, the topographic wetness index (TWI), land surface temperature (LST), the perpendicular drought index (PDI), and the elevation of Hogno Khaan, which lies in a semiarid region of central Mongolia. We normalized the indicators, determined their weights, and defined five levels of desertification; none, low, medium, high, and severe. Sets of rules were constructed, and a multi-criteria evaluation (MCE) approach was used to assess desertification and test the correlations between the seven variables in comparison to the different levels of desertification, with field and reference data used for accuracy. We provide a review of the literature on MCE applied to desertification assessment issues based on satellite data. At the first step, major desertification factors were computed for satellite data. The next step was the construction of pairwise comparison matrix. Then, the weight of each factor was determined by the contribution of an analytical hierarchy process. Finally, the susceptible areas to desertification in the study area were identified using a multi-criteria evaluation method. We found that more than 15% of the total land area in Hogno Khaan suffered from severe desertification in 2011, increasing from 7% in 1990. Our analysis showed that the highest correlations were between TGSI and albedo, PDI and TGSI, and PDI and albedo at all levels of desertification. LST was less strongly correlated with TGSI, albedo, and PDI. The correlation of TWI with PDI and NDVI in the non- and low desertification areas produced R values of 0.15 and 0.58, respectively. The correlation analysis indicated a significant positive correlation between TWI and both NDVI and PDI for all years in non- and low desertification areas. Comparing elevation and NDVI, the highest correlation was found for severe desertification in 2002, although correlations for severe desertification were lower in 1990 and 2011.

[1]  S. Prince,et al.  Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series , 2004 .

[2]  Stephen V. Stehman,et al.  Selecting and interpreting measures of thematic classification accuracy , 1997 .

[3]  Jennifer Small,et al.  Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa , 2007 .

[4]  Luca Salvati,et al.  INTEGRATING ECONOMIC AND ENVIRONMENTAL INDICATORS IN THE ASSESSMENT OF DESERTIFICATION RISK: A CASE STUDY , 2007 .

[5]  A. Hanafi,et al.  Are long-term vegetation dynamics useful in monitoring and assessing desertification processes in the arid steppe, southern Tunisia , 2008 .

[6]  Michael L. Roderick,et al.  The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia , 2003 .

[7]  Zhiming Zhan,et al.  Designing of the perpendicular drought index , 2007 .

[8]  M. Kassas Desertification: a general review , 1995 .

[9]  P. Chavez An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[10]  Gary A. Peterson,et al.  Soil Attribute Prediction Using Terrain Analysis , 1993 .

[11]  S. Liang Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[12]  Weihong Qian,et al.  Regional trends in recent precipitation indices in China , 2005 .

[13]  Z. Qin,et al.  Monitoring and analysis of grassland desertification dynamics using Landsat images in Ningxia, China , 2013 .

[14]  Paul E. Gessler,et al.  Soil-Landscape Modelling and Spatial Prediction of Soil Attributes , 1995, Int. J. Geogr. Inf. Sci..

[15]  Xianwen Meng,et al.  Evaluation of aeolian desertification from 1975 to 2010 and its causes in northwest Shanxi Province, China , 2013 .

[16]  Lalit Kumar,et al.  Comparative assessment of the measures of thematic classification accuracy , 2007 .

[17]  H. Musick,et al.  Temporal change of Landsat MSS albedo estimates in arid rangeland , 1986 .

[18]  R. Pontius,et al.  Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment , 2011 .

[19]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[20]  H. Dregne,et al.  A new assessment of the world status of desertification , 1991 .

[21]  N. Geeson,et al.  Desertification indicator system for Mediterranean Europe , 2015 .

[22]  Tao Wang,et al.  Aeolian desertification from the mid-1970s to 2005 in Otindag Sandy Land, Northern China , 2007 .

[23]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[24]  R. Tateishi,et al.  Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt , 2007 .

[25]  D. Gehring,et al.  Arid Land Monitoring Using Landsat Albedo Difference Images , 1981 .

[26]  Yanjun Shen,et al.  Development of topsoil grain size index for monitoring desertification in arid land using remote sensing , 2006 .

[27]  M. S. Moran,et al.  atmospheric data collected over semiarid rangelands , 1994 .

[28]  Dafang Zhuang,et al.  Quantitative Assessment of Desertification Using Landsat Data on a Regional Scale – A Case Study in the Ordos Plateau, China , 2009, Sensors.

[29]  P. Chavez Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[30]  E. Kang,et al.  Recent and Future Climate Change in Northwest China , 2007 .

[31]  I. Sandholt,et al.  A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status , 2002 .

[32]  Jian-ping Chen,et al.  A Model for Desertification Evolution Employing GIS with Cellular Automata , 2009, 2009 International Conference on Computer Modeling and Simulation.

[33]  M. S. Hossain,et al.  Climate Change Resilience Assessment Using Livelihood Assets of Coastal Fishing Community in Nijhum Dwip, Bangladesh , 2013 .

[34]  A. Arnalds Desertification in a Humid Environment: An Example from Iceland , 2005 .

[35]  M. Sivakumar,et al.  Interactions between climate and desertification , 2007 .

[36]  Woo-Kyun Lee,et al.  Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia , 2016 .

[37]  G. D'Arboussier,et al.  United Nations Institute for Training and Research , 1967 .

[38]  E. Lambin,et al.  Dynamic Causal Patterns of Desertification , 2004 .

[39]  K. Nadrowski,et al.  Variation of precipitation and its effect on phytomass production and consumption by livestock and large wild herbivores along an altitudinal gradient during a drought, South Gobi, Mongolia , 2006 .

[40]  Jay Gao,et al.  A Holistic Approach Towards Assessment of Severity of Land Degradation Along the Great Wall in Northern Shaanxi Province, China , 2003, Environmental monitoring and assessment.

[41]  Roland Geerken,et al.  Assessment of rangeland degradation and development of a strategy for rehabilitation , 2004 .

[42]  Nani Gopal Das,et al.  GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachium rosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh , 2010 .

[43]  Shenggong Li,et al.  Grassland desertification by grazing and the resulting micrometeorological changes in Inner Mongolia , 2000 .

[44]  Guangyin Hu,et al.  Driving forces responsible for aeolian desertification in the source region of the Yangtze River from 1975 to 2005 , 2012, Environmental Earth Sciences.

[45]  Junguo Liu,et al.  Regional assessment of environmental vulnerability in the Tibetan Plateau: Development and application of a new method , 2008 .

[46]  S. Goetz Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site , 1997 .

[47]  Alan Grainger,et al.  Application of indicator systems for monitoring and assessment of desertification from national to global scales , 2011 .

[48]  S. Idso,et al.  Surface albedo and desertification. , 1975, Science.

[49]  Shan Guo,et al.  Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS) , 2008, Environmental monitoring and assessment.

[50]  Gregory P. Asner,et al.  Desertification alters regional ecosystem–climate interactions , 2005 .

[51]  C. Tucker,et al.  Recent trends in vegetation dynamics in the African Sahel and their relationship to climate , 2005 .

[52]  M. S. Moran,et al.  Surface energy balance estimates at local and regional scales using optical remote sensing from an aircraft platform and atmospheric data collected over semiarid rangelands , 1994 .

[53]  J. Evans,et al.  Discrimination between climate and human-induced dryland degradation. , 2004 .

[54]  Fei Tian,et al.  Studies on the Relationships Between Land Surface Temperature and Environmental Factors in an Inland River Catchment Based on Geographically Weighted Regression and MODIS Data , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.