An Overview of Coastline Extraction from Remote Sensing Data

X Zhou, J Wang, F Zheng, H Wang, H Yang - Remote Sensing, 2023 - mdpi.com
The coastal zone represents a unique interface between land and sea, and addressing the
ecological crisis it faces is of global significance. One of the most fundamental and effective …

[HTML][HTML] Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover …

MS Chowdhury - Environmental Challenges, 2024 - Elsevier
Accurate land use and land cover (LULC) is crucial for sustainable urban planning and for
many scientific researches. However, the demand for accurate LULC maps is increasing; it …

Remote sensing and GIS-based study of land use/cover dynamics, driving factors, and implications in southern Ethiopia, with special reference to the Legabora …

M Mariye, L Jianhua, M Maryo, G Tsegaye, E Aletaye - Heliyon, 2024 - cell.com
This paper investigates the trends, drivers, and consequences of LULC changes in
Legabora watershed, Ethiopia, by utilizing remote sensing and geographic systems …

[HTML][HTML] Temporal analysis of settlement areas and city footprints on construction and demolition waste quantification using Landsat satellite imagery

S Ray, KTW Ng, TS Mahmud, A Richter… - Sustainable Cities and …, 2024 - Elsevier
Municipal solid waste management has seen a surge in the use of satellite imagery in
decision-making processes, yet its application to analyze quantitative variations in …

Urban building function classification based on multisource geospatial data: a two-stage method combining unsupervised and supervised algorithms

S Du, M Zheng, L Guo, Y Wu, Z Li, P Liu - Earth Science Informatics, 2024 - Springer
Urban buildings serve not only as spaces for residence and work but also host diverse
functions such as commerce and education. Identifying the functions of urban buildings …

[HTML][HTML] Assessment of land use transition and crop intensification using geospatial technology in Bangladesh

MI Parvin, MA Islam, MF Perveen, MR Jamal… - Case Studies in …, 2024 - Elsevier
Despite dealing with numerous challenges, the agricultural sector in Bangladesh is
consistently growing every year because of the crop intensification efforts in many areas to …

Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine …

WS Segue, IK Njilah, DH Fossi, D Nsangou - Journal of African Earth …, 2024 - Elsevier
Landslides pose a significant threat to lives and socio-economic stability globally. In this
study, we conducted a comprehensive landslide susceptibility mapping (LSM) in the western …

Land use land cover classification using Sentinel imagery based on deep learning models

S Sawant, JK Ghosh - Journal of Earth System Science, 2024 - Springer
For proper planning of urban infrastructures such as road networks, pipelines, and other
linear engineering structures, it is necessary to construct precise land use and land cover …

Automated Land Use Identification Using Hyper Spectral Data and Machine Learning Algorithms

GS Sharma, K Lakshman… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
this paper discusses the usage of devices, gaining knowledge of algorithms and hyper
spectral facts to discover land use routinely. Hyper spectral information is used to broaden …

Aplicação de geotecnologias no uso e cobertura da terra na bacia hidrográfica do Alto Curso do rio Paraíba

JHS de Sousa… - Revista …, 2024 - semiaridodevisu.ifsertaope.edu.br
Através das atividades humanas impróprias no decorrer dos anos na bacia hidrográfica do
Alto Curso do rio Paraíba, têm ocorrido transformações significativas em seu ecossistema …