Land degradability mapping using remote sensing data and soil chemical properties

[1]  S. K. Alavipanah,et al.  Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran , 2022, Ecol. Informatics.

[2]  A. Mouazen,et al.  Minimising the effect of moisture on soil property prediction accuracy using external parameter orthogonalization , 2022, Soil and Tillage Research.

[3]  A. Darvishi Boloorani,et al.  Land degradation modeling of dust storm sources using MODIS and meteorological time series data , 2021, Journal of Arid Environments.

[4]  Saman Nadizadeh Shorabeh,et al.  Vulnerability mapping and risk analysis of sand and dust storms in Ahvaz, IRAN. , 2021, Environmental pollution.

[5]  A. D. Boloorani,et al.  Water bodies changes in Tigris and Euphrates basin has impacted dust storms phenomena , 2021 .

[6]  E. Teferi,et al.  Mapping and Quantifying Comprehensive Land Degradation Status Using Spatial Multicriteria Evaluation Technique in the Headwaters Area of Upper Blue Nile River , 2021, Sustainability.

[7]  R. Espejo,et al.  Response of soil properties and microbial indicators to land use change in an acid soil under Mediterranean conditions , 2020, CATENA.

[8]  M. Moreno,et al.  Relationship of soil fertility to biochemical properties under agricultural practices aimed at controlling land degradation , 2019, Land Degradation & Development.

[9]  M. Schindewolf,et al.  Land use change in an agricultural landscape causing degradation of soil based ecosystem services. , 2019, The Science of the total environment.

[10]  C. M. Waters,et al.  Minimising soil organic carbon erosion by wind is critical for land degradation neutrality , 2019, Environmental Science & Policy.

[11]  S. Wunder,et al.  Achieving land degradation neutrality in Germany: Implementation process and design of a land use change based indicator , 2019, Environmental Science & Policy.

[12]  Shweta,et al.  A baseline regional evapotranspiration (ET) and change hotspots over Indian sub-tropics using satellite remote sensing data , 2018, Agricultural Water Management.

[13]  Tsegaye Tadesse,et al.  Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil , 2018, Remote Sensing of Environment.

[14]  Reiji Kimura,et al.  Global distribution of degraded land area based on dust erodibility determined from satellite data , 2018 .

[15]  Fabio Maselli,et al.  Analysis of land degradation processes on a tiger bush plateau in South West Niger using MODIS and LANDSAT TM/ETM+ data , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[16]  Reiji Kimura,et al.  Validation and application of the monitoring method for degraded land-area-based on a dust erodibility in eastern Asia , 2017 .

[17]  Offer Rozenstein,et al.  A review of progress in identifying and characterizing biocrusts using proximal and remote sensing , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[18]  Hongbo Shao,et al.  Albedo indicating land degradation around the Badain Jaran Desert for better land resources utilization. , 2017, The Science of the total environment.

[19]  N. Ahmad,et al.  Assessment and monitoring of land degradation using geospatial technology in Bathinda district, Punjab, India , 2017 .

[20]  H. Nasiri,et al.  A hybrid approach of rough-fuzzy inference system for land degradation susceptibility mapping (case study: Khanmirza agricultural plain-Iran) , 2016, Geoenvironmental Disasters.

[21]  H. Khosravi,et al.  Desertification of forest, range and desert in Tehran province, affected by climate change , 2016 .

[22]  A. Natarajan,et al.  Estimating soil fertility status in physically degraded land using GIS and remote sensing techniques in Chamarajanagar district, Karnataka, India , 2016 .

[23]  Thomas Gumbricht,et al.  Mapping of soil properties and land degradation risk in Africa using MODIS reflectance , 2016 .

[24]  Narumasa Tsutsumida,et al.  Measures of spatio-temporal accuracy for time series land cover data , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[25]  Huadong Guo,et al.  Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring , 2015, Remote. Sens..

[26]  Maria Chiara Pagliarella,et al.  Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories , 2015, Forest Ecosystems.

[27]  H. Liniger,et al.  Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia , 2015 .

[28]  P. Owuor,et al.  Effects of Land Use Change on Land Degradation Reflected by Soil Properties along Mara River, Kenya and Tanzania , 2015 .

[29]  Elias Symeonakis,et al.  Remote Sensing Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions , 2022 .

[30]  Jan Haas,et al.  Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze, River Delta and the Pearl River Delta , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[31]  J. Ibáñez,et al.  A model-based integrated assessment of land degradation by water erosion in a valuable Spanish rangeland , 2014, Environ. Model. Softw..

[32]  Philippe Ciais,et al.  Rain-Use-Efficiency: What it Tells us about the Conflicting Sahel Greening and Sahelian Paradox , 2014, Remote. Sens..

[33]  Yaping Shao,et al.  Climatology of the Middle East dust events , 2013 .

[34]  S. Agrawal,et al.  Evaluation of Indices and Parameters Obtained from Optical and Thermal Bands of Landsat 7 ETM+ for Mapping of Salt-affected Soils and Water-logged Areas , 2013 .

[35]  Fei Deng,et al.  Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests , 2013 .

[36]  T. Vågen,et al.  Landsat-based approaches for mapping of land degradation prevalence and soil functional properties in Ethiopia , 2013 .

[37]  Björn Waske,et al.  Optimization of Object-Based Image Analysis With Random Forests for Land Cover Mapping , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[38]  Mohammed El Bastawesy,et al.  Detection and Assessment of the Waterlogging in the Dryland Drainage Basins Using Remote Sensing and GIS Techniques , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[39]  F. Morari,et al.  Monitoring desertification in a Savannah region in Sudan using Landsat images and spectral mixture analysis , 2012 .

[40]  A. Getis.  The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[41]  J. Ord,et al.  Local Spatial Autocorrelation Statistics: Distributional Issues and an Application , 2010 .

[42]  Eyal Ben-Dor,et al.  Soil Degradation Monitoring by Remote Sensing: Examples with Three Degradation Processes , 2010 .

[43]  J. A. Zinck,et al.  Soil Salinity and Salinization Hazard , 2008 .

[44]  Benjamin I. Cook,et al.  Amplification of the North American “Dust Bowl” drought through human-induced land degradation , 2008, Proceedings of the National Academy of Sciences.

[45]  J. Puigdefabregas,et al.  Monitoring land degradation risk using ASTER data: The non-evaporative fraction as an indicator of ecosystem function , 2008 .

[46]  Eric J. Fielding,et al.  Land subsidence in Iran caused by widespread water reservoir overexploitation , 2008 .

[47]  Ragheb A. Al-Tahhan,et al.  Impacts of land use/cover change on soil properties in the Mediterranean region of northwestern Jordan , 2008 .

[48]  Asad Sarwar Qureshi,et al.  Extent and characterisation of salt‐affected soils in Iran and strategies for their amelioration and management , 2008 .

[49]  Michael G. Madden,et al.  The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data , 2005, Knowl. Based Syst..

[50]  Daniel Zeng,et al.  A comparative study of spatio-temporal hotspot analysis techniques in security informatics , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

[51]  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 .

[52]  Haim Kutiel Hadar Furman.  Dust Storms in the Middle East: Sources of Origin and Their Temporal Characteristics , 2003 .

[53]  Renjian Zhang,et al.  Analysis on the chemical and physical properties of particles in a dust storm in spring in Beijing , 2003 .

[54]  L. Breiman.  Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.

[55]  A. Calvo-Cases,et al.  Influence of soil properties on the aggregation of some Mediterranean soils and the use of aggregate size and stability as land degradation indicators , 2001 .

[56]  B. Warkentin,et al.  Soil functions and the future of natural resources , 1998 .

[57]  Z. Rawajfih,et al.  Land degradation in north-western Jordan: causes and processes , 1998 .

[58]  A. Darvishi Boloorani,et al.  Dust source susceptibility mapping in Tigris and Euphrates basin using remotely sensed imagery , 2022, CATENA.

[59]  Adel Shalaby,et al.  Quantitative assessment of soil saline degradation using remote sensing indices in Siwa Oasis , 2019, Remote Sensing Applications: Society and Environment.

[60]  Terrence Koena Sepuru,et al.  An appraisal on the progress of remote sensing applications in soil erosion mapping and monitoring , 2018 .

[61]  Daniel Zízala,et al.  Assessment of Soil Degradation by Erosion Based on Analysis of Soil Properties Using Aerial Hyperspectral Images and Ancillary Data, Czech Republic , 2017, Remote. Sens..

[62]  S. Uchida.  Applicability of Satellite Remote Sensing for Mapping Hazardous State of Land Degradation by Soil Erosion on Agricultural Areas , 2015 .

[63]  M. Sivakumar.  Impacts of Sand Storms/Dust Storms on Agriculture , 2005 .

[64]  J. D. Rhoades,et al.  Electrical Conductivity Methods for Measuring and Mapping Soil Salinity , 1993 .