Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"Investigating the Use of Remote Sensing and GIS Techniques to Detect Land Use and Land Cover Change: A Review"
written by Abdullah F. Alqurashi, Lalit Kumar,
published by Advances in Remote Sensing, Vol.2 No.2, 2013
has been cited by the following article(s):
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[2] Analysis of the Effects of Local Regulations on the Preservation of Water Resources Using the CA-Markov Model
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[3] Agricultural Land-Use Changes in the Judean Region from the End of the Ottoman Empire to the End of the British Mandate: A Spatial Analysis
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[4] The Land-Use Change Dynamics Based on the CORINE Data in the Period 1990–2018 in the European Archipelagos of the Macaronesia Region: Azores, Canary …
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[5] Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering …
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[6] Land-Use and Land-Cover Change Detection in a North-Eastern Wetland Ecosystem of Bangladesh Using Remote Sensing and GIS Techniques
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[7] Analysis of Temporal and Spatial Evolution and Influence Factors of Cultivated Land in Pearl River Delta Based on GIS
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[8] A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies
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[9] Identification before-after forest fire and prediction of mangrove forest based on Markov-cellular automata in part of Sembilang national park, Banyuasin, South …
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[10] Assessment of Forest Land Cover Change and Its Driving Factors: A Case of Adaba-Dodola District, Ethiopia.
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[11] Automatic Semantic Segmentation with DeepLab Dilated Learning Network for Change Detection in Remote Sensing Images
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[12] The Use of Geographic Databases for Analyzing Changes in Land Cover—A Case Study of the Region of Warmia and Mazury in Poland
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[13] An Analysis of Urbanisation Dynamics with the Use of the Fuzzy Set Theory—A Case Study of the City of Olsztyn
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[14] Assessing Land-Use and Land-Cover Change (LULCC) Between 2009 and 2019 Using Object-Based Image Analysis (OBIA) in Cameron Highlands, Malaysia
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[15] Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data
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[16] Detecção de mudanças de uso e cobertur da terra por imagens de nanossatélites: estudo de caso do entorno da Aldeia Verdadeira (Anhetenguá)-Porto Alegre-RS
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[17] Quantifying the impacts of urbanisation on urban agriculture over three decades, the case of Ekurhuleni, South Africa
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[18] Wetland Degradation and Carbon Sequestration Potential
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[19] SHRINKING FOREST AND CONTESTED FRONTIERS: A CASE OF CHANGING HUMAN-FOREST INTERFACE ALONG THE PROTECTED AREAS OF …
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[20] An application to India
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[21] Shrinking forest and contested frontiers: A case of changing human-forest interface along the protected areas of Nafaon district, Assam, India
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[22] 泸沽湖生态系统格局变化及其驱动力
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[23] SATELLITE IMAGE CLASSIFICATION USING MACHINE LEARNING
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[24] Effect of Different Spatial Resolutions of Multi-temporal Satellite Images Change Detection Application
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[25] Mapping and monitoring of land use dynamics with their change hotspot in North 24-Parganas district, India: a geospatial-and statistical-based approach
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[26] Temporal dynamic analysis of a mountain ecosystem based on multi‐source and multi‐scale remote sensing data
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[27] Estimating long-term LULC changes in an agriculture-dominated basin using CORONA (1970) and LISS IV (2013–14) satellite images: a case study of Ramganga …
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[28] Spatiotemporal effects of wastewater ponds from a geoenvironmental perspective in the Kharga region, Egypt
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[29] Role of geospatial technology in understanding urban green space of Kalaburagi city for sustainable planning
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[30] EVALUATION OF DIFFERENT TECHNIQUES TO DETECT LAND USE/LAND COVER OVER AN AREA
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[31] Environmental and Earth Sciences Research Journal
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[32] Assessment of Changes in Landcover and Landuse in Ebonyi State, Using Remote Sensing Technique
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[33] Změny krajinného pokryvu nad horní hranicí lesa v Krkonošském národním parku na základě Landsat dat
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[34] Detecting urban markets with satellite imagery: an application to India
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[35] Extraction of vegetation information in coastal ecological vulnerable areas from remote sensing data based on phenology parameters and object-oriented method
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[36] ASSESSMENT, PREDICTION AND FUTURE SIMULATION OF LAND COVER DYNAMICS USING REMOTE SENSING AND GIS TECHNIQUES
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[37] Detection of land surface temperature in relation to land use land cover change: Dire Dawa City, Ethiopia
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[38] Estimation of the Effect of the Industrial Pollution on Land Surface Temperature (LST) on Part of Vadodara Using Remote Sensing and GIS
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[39] 基于物候参数和面向对象法的濒海生态脆弱区植被遥感提取.
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[40] Classification accuracy and trend assessments of land cover-land use changes from principal components of land satellite images
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[41] Estimation of the effect of the idustrial pollution on land surface temperature [LST] on part of vadodara using remote sensing and GIS
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[42] Dynamics of Land Use/Land Cover Change and Implications for Land Degradation in Mida Woremo Watershed, North Central Highlands of Ethiopia
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[43] Assessment of the forest cover change in the Forest-Savannah transitional zone, Ghana between 1990–2013 using remote sensing and GIS
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[44] Land Use Classification and Watershed Analysis of Assi River (Varanasi, UP)
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[45] Change Detection in Multispectral Landsat Images Using Multiobjective Evolutionary Algorithm.
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[46] Selecting optimum base wavelet for extracting spectral alteration features associated with porphyry copper mineralization using hyperspectral images
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[47] Change Detection in Multispectral Landsat Images Using Multiobjective Evolutionary Algorithm
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[48] Evaluating the Extraction Approaches of Flood Extended Area by Using ALOS-2/PALSAR-2 Images as a Rapid Response to Flood Disaster
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[49] Spatial Distribution of Phlebotomus argentipes (Diptera: Psychodidae) in Eastern India, a Case Study Evaluating Multispatial Resolution Remotely Sensed …
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[50] An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia
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[51] Spatial Distribution of Phlebotomus argentipes (Diptera: Psychodidae) in Eastern India, a Case Study Evaluating Multispatial Resolution Remotely Sensed …
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[52] Land Use Classification and Watershed Analysis of Assi River, Varanasi, Uttar Pradesh, India
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[53] Factors affecting recent vegetation change in north-east Libya
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[54] A Comparative Assessment between Visual Interpretation and Pixel based Approach for Land Use/Cover Mapping using IRS LISS-III Imagery
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[55] A Survey on Land Cover Change Detection Techniques in Remote Sensing
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[56] Characterising historical land cover change, and understanding trends in the Goukou catchment, Western Cape, South Africa
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[57] Assessment of land use and land cover changes in magnesite mining region, Salem, India
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[58] Evaluation of Land Cover Changes Ysing Remote Sensing Technique (Case study: Hableh Rood Subwatershed of Shahrabad Basin)
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[59] A novel remote sensing image change detection algorithm based on Markov random field theory
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[60] A review on historical trajectories and spatially explicit scenarios of land-use and land-cover changes in China
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[61] Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia
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[62] Image classification using machine learning techniques
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[63] Land Use and Land Cover Changes in the Commercial Farming Region of Chiredzi District, Zimbabwe
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[64] ART Based Reliable Method for Prediction of Agricultural Land Changes Using Remote Sensing
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[65] Assessment of Land Use/Cover Change Using Remote Sensing and GIS in the Nile Delta, Egypt
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[66] Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery
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[67] Change detection based on integration of multi-scale mixed-resolution information
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[68] Across the grain: Multi-scale map comparison and land change assessment
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[69] Cartographie de l'occupation de sol des Hauts Plateaux de l'Ouest Cameroun par réseaux de neurones appliqués à une image LANDSAT 8 OLI [ Mapping land cover in Western Cameroon Highlands using neural networks applied to a Landsat 8 OLI image ]
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[70] Impact Analysis of Oil Pollution using Change Detection Techniques in Kuwait
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[72] CA-Markov for Predicting Land Use Changes in Tropical Catchment Area: A Case Study in Cameron Highland, Malaysia
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[73] Management of Large Hydroelectric Reservoirs Surrounding Areas Using GIS and Remote Sensing
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[74] Assessing the thermodynamic variables of landscapes in the southwest part of East European plain in Russia using the MODIS multispectral band measurements
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[75] Detecting land use changes affected by human activities using remote sensing (Case study: Karkheh River Basin)
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[76] A review on shoreline detection based on satellite imagery
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[77] APPLICATIONS AND CHANGE DETECTION TECHNIQUES
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[78] Study on the Coastal Vegetation and Land-use Changes of the Coastal Talukas of Bharuch District
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[79] Occurences and impacts of invasive alien plant species in the Agulhas Plain and Lacustrine Wetlands, Western Cape, South Africa
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[80] LAND COVER/USE CHANGE AND CHANGE PATTERN DETECTION USING RADAR AND OPTICAL IMAGES: AN INSTANCE OF URBAN ENVIRONMENT
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[81] An ensemble classification approach for improved Land use/cover change detection
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[82] Improving image classification in a complex wetland ecosystem through image fusion techniques
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[83] Land use change detection using remote sensing and artificial neural network: Application to Birjand, Iran.
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[84] Land Use and Land Cover Change Detection in the Saudi Arabian Desert Cities of Makkah and Al-Taif Using Satellite Data
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[85] Application of Remote Sensing and GIS for Modeling and Assessment of Land Use/Cover Change in Amman/Jordan
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[86] Extrapolation of Land Use Land Cover Changes in Menisa Watershed Using GIS based Markov Chain Analysis
[87] POLA PERKEMBANGAN MORFOLOGI FISIK KOTA DI CEKUNGAN BANDUNG PERIODE 2009–2018
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