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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[1] Monitoring and Mapping Vegetation Cover Changes in Arid and Semi-Arid Areas Using Remote Sensing Technology: A Review
Remote Sensing, 2022
[2] Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country
Dastjerdi, S Mohammadi, M Saber, S Amini… - Remote Sensing, 2022
[3] Centennial-Scale Land-Cover Change on Babeldaob Island, Palau
Land, 2022
[4] Land Use and Land Cover Mapping in the Era of Big Data
Land, 2022
[5] Impacts of Soil and Water Conservation Practice on Soil Moisture in Debre Mewi and Sholit Watersheds, Abbay Basin, Ethiopia
Agriculture, 2022
[6] Assessment of land use and land cover change on Gum Talha (Acacia seyal var. seyal) forest in Bahar Alarab, Sudan
Biodiversitas Journal of …, 2022
[7] Detecting land use changes using hybrid machine learning methods in the Australian tropical regions
GeoJournal, 2022
[8] Multidecadal Land-Use Changes and Implications on Soil Protection in the Calore River Basin Landscape (Southern Italy)
Geosciences, 2022
[9] Long-Term Assessment of Spatio-Temporal Landuse/Landcover Changes (LUCCs) of Ošljak Island (Croatia) Using Multi-Temporal Data—Invasion of Aleppo Pine
Land, 2022
[10] Assessing changes in flora distribution of Akoka forest ecosystem, 52 years after urban encroachment using field surveys and integrated remote sensing data.
Trees, Forests and People, 2022
[11] Long-Term Assessment of Spatio-Temporal Landuse/Landcover Changes (LUCCs) of Ošljak Island (Croatia) Using Multi-Temporal Data—Invasion of Aleppo …
2022
[12] Mapeamento de unidades de produção aquícola no estado do Paraná por meio de processamento e interpretação de imagens de satélite Sentinel.
2022
[13] Using satellite imagery to assess the changes in land use and land cover in Diyarbakır city (SE Turkey)
2022
[14] Land Surface Temperature Detection in Relation to Land Use Land Cover Change: The Case of Jimma City and It's Surroundings, Jimma Zone, Southwest …
2022
[15] Quantitatively assessing the future land-use/land-cover changes and their driving factors in the upper stream of the Awash River based on the CA–markov model and …
Sustainability, 2022
[16] Evaluation of Resilience in Historic Urban Areas by Combining Multi-Criteria Decision-Making System and GIS, with Sustainability and Regeneration Approach: The …
Sustainability, 2022
[17] Land-Use Changes in the Sele River Basin Landscape (Southern Italy) between 1960 and 2012: Comparisons and Implications for Soil Erosion Assessment
Geographies, 2021
[18] A remote sensing assessment of irrigation land use land cover change in the Sokoto Rima River Basin, Nigeria
2021
[19] Changes in cropland between 1986 and 2019 in Kitui central sub-county, Kitui county, Kenya
2021
[20] Land Use/Land Cover (LULC) Changes in Cameron Highlands, Malaysia: Explore the Impact of the LULC Changes on Land Surface Temperature (LST) Using …
Climate Impacts on …, 2021
[21] 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
2021
[22] 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 …
2021
[23] 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 …
2021
[24] Land-Use and Land-Cover Change Detection in a North-Eastern Wetland Ecosystem of Bangladesh Using Remote Sensing and GIS Techniques
2021
[25] Analysis of the Effects of Local Regulations on the Preservation of Water Resources Using the CA-Markov Model
2021
[26] Environmental Change Detection Through Remote Sensing Technique: A Study of Rohingya Refugee Camp Area (Ukhia and Teknaf Sub-district), Cox's …
2021
[27] Identification before-after forest fire and prediction of mangrove forest based on Markov-cellular automata in part of Sembilang national park, Banyuasin, South …
2020
[28] Assessment of Forest Land Cover Change and Its Driving Factors: A Case of Adaba-Dodola District, Ethiopia.
2020
[29] Automatic Semantic Segmentation with DeepLab Dilated Learning Network for Change Detection in Remote Sensing Images
2020
[30] The Use of Geographic Databases for Analyzing Changes in Land Cover—A Case Study of the Region of Warmia and Mazury in Poland
2020
[31] An Analysis of Urbanisation Dynamics with the Use of the Fuzzy Set Theory—A Case Study of the City of Olsztyn
2020
[32] Assessing Land-Use and Land-Cover Change (LULCC) Between 2009 and 2019 Using Object-Based Image Analysis (OBIA) in Cameron Highlands, Malaysia
2020
[33] A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies
2020
[34] Analysis of Temporal and Spatial Evolution and Influence Factors of Cultivated Land in Pearl River Delta Based on GIS
2020
[35] POLA PERKEMBANGAN MORFOLOGI FISIK KOTA DI CEKUNGAN BANDUNG PERIODE 2009–2018
Jurnal Teknosains, 2020
[36] Urban Growth Patterns in India: Spatial Analysis for Sustainable Development
2020
[37] Satellite-Based Environmental Modeling of Land Use/Land Cover (LULC) Area Changes in the Hilla River Region, Iraq
Zubaidi - Journal of Green Engineering, 2020
[38] The Driving Forces Inducing Land Cover Changes in Israel's Northern Sharon Plain from the End of the Nineteenth Century to the Present Time
Historical Geography, 2020
[39] Landscape Change Detection Using Auto-optimized K-means Algorithm
Asad, AH Khan - … International Symposium on …, 2020
[40] ASSESSMENT OF THE IMPACT OF CLIMATE CHANGE ON LAND USE IN THE EMIRATE OF ABU DHABI-AN ENVIRONMENTAL AND SOCIO-ECONOMIC …
2020
[41] Aplicación de LSMA y OBIA en imágenes multiespectrales LANDSAT-8 para la obtención de mapas preliminares de cobertura en zonas de alta montaña del …
2020
[42] Shrinking Forest and Contested Frontiers: A Case of Changing Human-Forest Interface along the Protected Areas of Nagaon District, Assam, India
Eur. J. Geogr, 2019
[43] Wetland degradation and carbon sequestration potential–a case of Lubigi wetland, Uganda
2019
[44] Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data
2019
[45] 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
2019
[46] Quantifying the impacts of urbanisation on urban agriculture over three decades, the case of Ekurhuleni, South Africa
2019
[47] Wetland Degradation and Carbon Sequestration Potential
2019
[48] SHRINKING FOREST AND CONTESTED FRONTIERS: A CASE OF CHANGING HUMAN-FOREST INTERFACE ALONG THE PROTECTED AREAS OF …
2019
[49] An application to India
2019
[50] Shrinking forest and contested frontiers: A case of changing human-forest interface along the protected areas of Nafaon district, Assam, India
2019
[51] 泸沽湖生态系统格局变化及其驱动力
2019
[52] SATELLITE IMAGE CLASSIFICATION USING MACHINE LEARNING
2019
[53] Effect of Different Spatial Resolutions of Multi-temporal Satellite Images Change Detection Application
2019
[54] Mapping and monitoring of land use dynamics with their change hotspot in North 24-Parganas district, India: a geospatial-and statistical-based approach
2019
[55] Temporal dynamic analysis of a mountain ecosystem based on multi‐source and multi‐scale remote sensing data
2019
[56] 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 …
2019
[57] Spatiotemporal effects of wastewater ponds from a geoenvironmental perspective in the Kharga region, Egypt
2019
[58] Role of geospatial technology in understanding urban green space of Kalaburagi city for sustainable planning
2019
[59] EVALUATION OF DIFFERENT TECHNIQUES TO DETECT LAND USE/LAND COVER OVER AN AREA
2019
[60] Assessment of Changes in Landcover and Landuse in Ebonyi State, Using Remote Sensing Technique
2018
[61] Změny krajinného pokryvu nad horní hranicí lesa v Krkonošském národním parku na základě Landsat dat
2018
[62] Detecting urban markets with satellite imagery: an application to India
2018
[63] Extraction of vegetation information in coastal ecological vulnerable areas from remote sensing data based on phenology parameters and object-oriented method
Transactions of the Chinese Society of Agricultural Engineering, 2018
[64] ASSESSMENT, PREDICTION AND FUTURE SIMULATION OF LAND COVER DYNAMICS USING REMOTE SENSING AND GIS TECHNIQUES
2018
[65] Detection of land surface temperature in relation to land use land cover change: Dire Dawa City, Ethiopia
2018
[66] Estimation of the Effect of the Industrial Pollution on Land Surface Temperature (LST) on Part of Vadodara Using Remote Sensing and GIS
2018
[67] 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.
Transactions of the Chinese Society of Agricultural Engineering, 2018
[68] Classification accuracy and trend assessments of land cover-land use changes from principal components of land satellite images
International Journal of Remote Sensing, 2018
[69] Estimation of the effect of the idustrial pollution on land surface temperature [LST] on part of vadodara using remote sensing and GIS
2018
[70] Dynamics of Land Use/Land Cover Change and Implications for Land Degradation in Mida Woremo Watershed, North Central Highlands of Ethiopia
2018
[71] Assessment of the forest cover change in the Forest-Savannah transitional zone, Ghana between 1990–2013 using remote sensing and GIS
2018
[72] DYNAMICS OF LAND USE/LAND COVER CHANGE AND IMPLICATIONS FOR LAND DEGRADATION IN MIDA WOREMO WATERSHED, NORTH …
2018
[73] Land Use Classification and Watershed Analysis of Assi River (Varanasi, UP)
IDC’s 31st National Conference of Sustainable Development of Smart Cities, 2017
[74] Change Detection in Multispectral Landsat Images Using Multiobjective Evolutionary Algorithm.
2017
[75] Selecting optimum base wavelet for extracting spectral alteration features associated with porphyry copper mineralization using hyperspectral images
International Journal of Applied Earth Observation and Geoinformation, 2017
[76] Change Detection in Multispectral Landsat Images Using Multiobjective Evolutionary Algorithm
2017
[77] Evaluating the Extraction Approaches of Flood Extended Area by Using ALOS-2/PALSAR-2 Images as a Rapid Response to Flood Disaster
2017
[78] Spatial Distribution of Phlebotomus argentipes (Diptera: Psychodidae) in Eastern India, a Case Study Evaluating Multispatial Resolution Remotely Sensed …
Journal of Medical Entomology, 2017
[79] An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia
Geocarto International, 2017
[80] Spatial Distribution of Phlebotomus argentipes (Diptera: Psychodidae) in Eastern India, a Case Study Evaluating Multispatial Resolution Remotely Sensed …
Journal of Medical Entomology, 2017
[81] Land Use Classification and Watershed Analysis of Assi River, Varanasi, Uttar Pradesh, India
2017
[82] Factors affecting recent vegetation change in north-east Libya
2017
[83] A Comparative Assessment between Visual Interpretation and Pixel based Approach for Land Use/Cover Mapping using IRS LISS-III Imagery
2017
[84] A Survey on Land Cover Change Detection Techniques in Remote Sensing
International Journal of Innovative Research in Science,Engineering and Technology, 2016
[85] Characterising historical land cover change, and understanding trends in the Goukou catchment, Western Cape, South Africa
2016
[86] Assessment of land use and land cover changes in magnesite mining region, Salem, India
2016
[87] Evaluation of Land Cover Changes Ysing Remote Sensing Technique (Case study: Hableh Rood Subwatershed of Shahrabad Basin)
2016
[88] A novel remote sensing image change detection algorithm based on Markov random field theory
2016
[89] A review on historical trajectories and spatially explicit scenarios of land-use and land-cover changes in China
Molecular Crystals and Liquid Crystals, 2016
[90] Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia
Remote Sensing, 2016
[91] Image classification using machine learning techniques
2016
[92] Land Use and Land Cover Changes in the Commercial Farming Region of Chiredzi District, Zimbabwe
2016
[93] ART Based Reliable Method for Prediction of Agricultural Land Changes Using Remote Sensing
2016
[94] Assessment of Land Use/Cover Change Using Remote Sensing and GIS in the Nile Delta, Egypt
2016
[95] Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery
Journal of Mental Health, 2016
[96] Change detection based on integration of multi-scale mixed-resolution information
2016
[97] Across the grain: Multi-scale map comparison and land change assessment
Ecological Indicators, 2016
[98] 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 ]
International Journal of Innovation and Scientific Research , 2016
[99] Impact Analysis of Oil Pollution using Change Detection Techniques in Kuwait
International Journal of Environment, Agriculture and Biotechnology, 2016
[100] OCCURRENCES AND IMPACTS OF INVASIVE ALIEN PLANT SPECIES IN THE AGULHAS PLAI N AND LACUSTRINE WETLANDS, WESTERN CAPE, SOUTH AFRICA
Thesis, 2015
[101] CA-Markov for Predicting Land Use Changes in Tropical Catchment Area: A Case Study in Cameron Highland, Malaysia
Journal of Applied Sciences, 2015
[102] Management of Large Hydroelectric Reservoirs Surrounding Areas Using GIS and Remote Sensing
Electronic Government and the Information Systems Perspective, 2015
[103] Assessing the thermodynamic variables of landscapes in the southwest part of East European plain in Russia using the MODIS multispectral band measurements
Ecological Modelling, 2015
[104] Detecting land use changes affected by human activities using remote sensing (Case study: Karkheh River Basin)
Current World Environment, 2015
[105] A review on shoreline detection based on satellite imagery
ARPN Journal of Engineering and Applied Sciences, 2015
[106] APPLICATIONS AND CHANGE DETECTION TECHNIQUES
2015
[107] Study on the Coastal Vegetation and Land-use Changes of the Coastal Talukas of Bharuch District
2015
[108] Occurences and impacts of invasive alien plant species in the Agulhas Plain and Lacustrine Wetlands, Western Cape, South Africa
2015
[109] LAND COVER/USE CHANGE AND CHANGE PATTERN DETECTION USING RADAR AND OPTICAL IMAGES: AN INSTANCE OF URBAN ENVIRONMENT
Thesis, 2014
[110] An ensemble classification approach for improved Land use/cover change detection
International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
[111] Improving image classification in a complex wetland ecosystem through image fusion techniques
Journal of Applied Remote Sensing?, 2014
[112] Land use change detection using remote sensing and artificial neural network: Application to Birjand, Iran.
Computational Ecology & Software, 2014
[113] Land Use and Land Cover Change Detection in the Saudi Arabian Desert Cities of Makkah and Al-Taif Using Satellite Data
Advances in Remote Sensing, 2014
[114] Application of Remote Sensing and GIS for Modeling and Assessment of Land Use/Cover Change in Amman/Jordan
Journal of Geographic Information System, 2013
[115] 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 …
[116] Trees, Forests and People
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