Machine learning-based monitoring and modeling for spatio-temporal urban growth of Islamabad

Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data

(2021) Christopher A. Ramezan et al.   Remote Sensing

Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model

(2021) Bhanage Vinayak et al.   Sustainability

Predictive Modeling of Transport Infrastructure Space for Urban Growth Phenomena in Developing Countries’ Cities: A Case Study of Kano — Nigeria

(2021) Suleiman Hassan Otuoze et al.   Sustainability

Spatial Analysis of Urbanization Patterns in Four Rapidly Growing South Asian Cities Using Sentinel-2 Data

(2021) Manjula Ranagalage et al.   Remote Sensing

Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India

(2021) A.L. Achu et al.   Ecological Informatics

Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification

(2020) Giles M. Foody   REMOTE SENSING OF ENVIRONMENT

Land use and Land Cover change and its resultant erosion susceptible level: an appraisal using RUSLE and Logistic Regression in a tropical plateau basin of West Bengal, India

(2020) Raj Kumar Bhattacharya et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

(2020) Swapan Talukdar et al.   Remote Sensing

Sustaining what is Unsustainable: A Review of Urban Sprawl and Urban Socio-Environmental Policies in North America and Western Europe

(2020) Carlos Bueno-Suárez et al.   Sustainability

Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers

(2020) Luka Rumora et al.   ISPRS International Journal of Geo-Information

Global Indicators of Sustainable Development: Evaluation of the Influence of the Human Development Index on Consumption and Quality of Energy

(2020) Alexei Yumashev et al.   Energies

Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges

(2020) Sam Navin MohanRajan et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of land cover change based on CA-ANN model to assess its local impacts on Bagerhat, southwestern coastal Bangladesh

(2020) M. Tauhid Ur Rahman et al.   Geocarto International

Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh

(2020) Abdulla - Al Kafy et al.   Sustainable Cities and Society

Urban Sprawl, Socioeconomic Features, and Travel Patterns in Middle East Countries: A Case Study in Iran

(2020) Melika Mehriar et al.   Sustainability

Quantifying and predicting multi-decadal forest cover changes in Myanmar: a biodiversity hotspot under threat

(2019) C. Sudhakar Reddy et al.   BIODIVERSITY AND CONSERVATION

Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton

(2019) Saputra et al.   Sustainability

Monitoring and predicting land use/cover changes in the Aksu-Tarim River Basin, Xinjiang-China (1990–2030)

(2019) Attia M. El-Tantawi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Impact of urbanization on basin hydrology: a case study of the Malir Basin, Karachi, Pakistan

(2019) Sumaira Zafar et al.   Regional Environmental Change

Urban sprawl in China: Differences and socioeconomic drivers

(2019) Guangdong Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

(2019) Abdulhakim Mohamed Abdi   GIScience & Remote Sensing

Urban Sprawl and Sustainable Urban Policies. A Review of the Cases of Lima, Mexico City and Santiago de Chile

(2019) Daniel Coq-Huelva et al.   Sustainability

Predicting the spectral information of future land cover using machine learning

(2017) Sopan D. Patil et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Land-cover change to forest plantations: Proximate causes and implications for the landscape in south-central Chile

(2012) Laura Nahuelhual et al.   LANDSCAPE AND URBAN PLANNING

Mapping land-cover modifications over large areas: A comparison of machine learning algorithms

(2008) John Rogan et al.   REMOTE SENSING OF ENVIRONMENT