Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed …

MH Rahaman, M Masroor, H Sajjad - Journal of Cleaner Production, 2023 - Elsevier
Surface water resources have witnessed various challenges namely shortage of water
availability, deterioration in water quality and reduction of water bodies due to climate …

[HTML][HTML] Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco …

B Mandal - Results in Engineering, 2024 - Elsevier
This present study aims to evaluate land use and land cover changes using five machine-
learning algorithms in Google Earth Engine. The performance of these machine learning …

Quantifying LULC changes in Urmia Lake Basin using machine learning techniques, intensity analysis and a combined method of cellular automata (CA) and artificial …

M Sakizadeh, A Milewski - Modeling Earth Systems and Environment, 2024 - Springer
The land use and land cover (LULC) classification accuracy of six machine learning models
were compared in Urmia Lake Basin using Landsat images. The overall accuracy confirms …

[HTML][HTML] A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change

O Okwuashi, CE Ndehedehe, DN Olayinka - … Chemistry of the Earth, Parts A …, 2024 - Elsevier
Cellular Automata (CA) models employ simple transition rules and neighbourhood
interactions to determine cells' evolution. Integrating CA with other algorithms is often …

An integrated simulation-optimization modeling approach for coupled risk management of Blue Water and Green Water under changing environmental conditions

Y Li, Q Tan, X Wang, C Li, Q Fu - Journal of Cleaner Production, 2024 - Elsevier
Due to the impact of global climate change and land use changes, the spatiotemporal
distribution and water cycle processes of watershed water resources are affected. In order to …

Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach

K Hussain, K Mehmood, S Yujun, T Badshah… - Annals of …, 2024 - Taylor & Francis
The study examines the complex dynamics of changes in LULC over three decades,
focused on the years 1992, 2002, 2012, and 2022. The research highlights the significance …

Analysis of LULC change dynamics and its impact assessment using CA-ANN model in part of Coimbatore region, India

B Anand, RS Rekha, N Radhakrishnan, K Ramaswamy - GeoJournal, 2023 - Springer
Understanding the LULC change is essential to adopt the new development activities in the
particular study area. The study reveals the LULC change for four different decades (1990 …

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)

KF Alkaraki, K Hazaymeh, OM Al-Tarawneh… - GeoJournal, 2024 - Springer
Modeling the impacts of Land Use/Land Cover changes (LULCC) on Land Surface
Temperature (LST) is crucial in understanding and managing urban heat islands, climate …

The suitability assessment for land territorial spatial planning based on ANN-CA model and the Internet of Things

Z Nie - Heliyon, 2024 - cell.com
This work aims to utilize Internet of Things (IoT) technology and the Artificial Neural Network-
Cellular Automaton (ANN-CA) model to analyze the construction of indicators for territorial …

Spatio-Temporal Analysis of Urban Growth and Expansion of Multan City During 1998-2020

Q ul Ain, B Nadeem, SM Malik… - Pakistan Journal of …, 2024 - journals.internationalrasd.org
The purpose of this research is to examine the land use changes in the Multan city between
the years 1998 and 2020 based on digital classification and accuracy. Employing remote …