A Comprehensive Review of Land Use and Land Cover Change Based on Knowledge Graph and Bibliometric Analyses

C Rong, W Fu - Land, 2023 - mdpi.com
Land use and land cover (LULC) changes are of vital significance in fields such as
environmental impact assessment and natural disaster monitoring. This study, through an …

Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

RW Aslam, H Shu, I Naz, A Quddoos, A Yaseen… - Remote Sensing, 2024 - mdpi.com
Wetlands provide vital ecological and socioeconomic services but face escalating pressures
worldwide. This study undertakes an integrated spatiotemporal assessment of the …

The role of random forest and markov chain models in understanding metropolitan urban growth trajectory

MT Badshah, K Hussain, AU Rehman… - Frontiers in Forests …, 2024 - frontiersin.org
Introduction This study delves into the spatiotemporal dynamics of land use and land cover
(LULC) in a Metropolitan area over three decades (1991–2021) and extends its scope to …

Building bridges to the future of learning: Exploring artificial intelligence research using R-Studio assisted bibliometrics

S Tamphu, I Suyitno, G Susanto, N Budiana… - Cogent …, 2024 - Taylor & Francis
Artificial intelligence (AI) has transformed education by enhancing personalization and
learning efficiency. However, the application of AI in addressing its challenges and potential …

Multi-temporal image analysis of wetland dynamics using machine learning algorithms

RW Aslam, I Naz, H Shu, J Yan, A Quddoos… - Journal of …, 2024 - Elsevier
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards,
controlling erosion, and providing essential habitats for unique flora and wildlife. Despite …

Modeling assessment on the influences of physiographic dynamics of landscape and micro-climatic conditions at Siffu-Mallig Watershed in the Philippines

AJB Felipe, MA Baguio, RB Saludes - Modeling Earth Systems and …, 2024 - Springer
Abstract Changes in watershed characteristics influence its physical features including the
overall hydrologic and climatologic processes which can be of high relevance to future …

Spatio-temporal assessment of land use and land cover dynamics in Urmia lake basin of Iran: A bi-directional approach using optical and radar data on the Google …

M Jahanbakhsh, A Esmaeily, AB Pour - Advances in Space Research, 2024 - Elsevier
Sustainable development, a cornerstone in responsible land resource management,
occupies a critical role in global efforts to balance economic progress with ecological …

Evaluation and Selection of Multi-Spectral Indices to Classify Vegetation Using Multivariate Functional Principal Component Analysis

S Pesaresi, A Mancini, G Quattrini, S Casavecchia - Remote Sensing, 2024 - mdpi.com
The identification, classification and mapping of different plant communities and habitats is
of fundamental importance for defining biodiversity monitoring and conservation strategies …

Framework to Create Inventory Dataset for Disaster Behavior Analysis Using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire …

YJ Chew, SY Ooi, YH Pang, ZY Lim - Forests, 2024 - mdpi.com
This study developed a comprehensive framework using Google Earth Engine to efficiently
generate a forest fire inventory dataset, which enhanced data accessibility without …

Bibliometric Analysis of Research Trends on Quantum-Dot-Sensitized Solar Cells over Two Decades

HK Dan, HT Tung, DV Khanh, H Nguyen - Energies, 2023 - mdpi.com
Many years after the introduction of quantum-dot-sensitized solar cells (QDSSCs),
publications related to it have been widely disseminated in scientific archives. In this study, a …