Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia

J Aryal, C Sitaula, AC Frery - Scientific Reports, 2023 - nature.com
Accurate spatial information on Land use and land cover (LULC) plays a crucial role in city
planning. A widely used method of obtaining accurate LULC maps is a classification of the …

Mapping land use/land cover changes and forest disturbances in vietnam using a Landsat temporal segmentation algorithm

K Shimizu, W Murakami, T Furuichi, RC Estoque - Remote Sensing, 2023 - mdpi.com
Accurately mapping land use/land cover changes (LULCC) and forest disturbances provides
valuable information for understanding the influence of anthropogenic activities on the …

Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation

CB Pande, A Srivastava, KN Moharir… - Environmental Sciences …, 2024 - Springer
Land use and land cover (LULC) analysis is crucial for understanding societal development
and assessing changes during the Anthropocene era. Conventional LULC mapping faces …

Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural …

QB Pham, SA Ali, F Parvin, V Van On, LM Sidek… - Advances in space …, 2024 - Elsevier
The integration of multi-spectral remote sensing and GIS-based analysis is significant for
studying land cover changes, providing valuable insights for informed land management …

Decision Fusion at Pixel Level of Multi-Band Data for Land Cover Classification—A Review

S Papadopoulos, G Koukiou, V Anastassopoulos - Journal of Imaging, 2024 - mdpi.com
According to existing signatures for various kinds of land cover coming from different
spectral bands, ie, optical, thermal infrared and PolSAR, it is possible to infer about the land …

[HTML][HTML] Land Use/Cover Classification of Large Conservation Areas Using a Ground-Linked High-Resolution Unmanned Aerial Vehicle

LJ Mangewa, PA Ndakidemi, RD Alward, HK Kija… - Resources, 2024 - mdpi.com
High-resolution remote sensing platforms are crucial to map land use/cover (LULC) types.
Unmanned aerial vehicle (UAV) technology has been widely used in the northern …

Age-group-based evaluation of residents' urban green space provision: Szeged, Hungary. A case study

RA Kolcsár, ÁK Csete, A Kovács-Győri… - Hungarian Geographical …, 2022 - ojs.mtak.hu
Abstract Analysis of urban green space (UGS) provision is becoming increasingly important
from an urban-planning perspective, as processes related to climate change tend to worsen …

Land-use change and urban expansion in Binh Duong province, Vietnam, from 1995 to 2020

DH Bui, L Mucsi - Geocarto International, 2022 - Taylor & Francis
This study aims to analyze land-use change and urban expansion in Binh Duong province,
Vietnam, from 1995 to 2020. Multitemporal Landsat images were used to develop land-use …

Informing equitable water and food policies through accurate spatial information on irrigated areas in smallholder farming systems

J Magidi, B van Koppen, L Nhamo, S Mpandeli… - Water, 2021 - mdpi.com
Accurate information on irrigated areas' spatial distribution and extent are crucial in
enhancing agricultural water productivity, water resources management, and formulating …

Implementing random forest algorithm in GEE: Separation and transferability on built-up area in Central Java, Indonesia

AW Rudiastuti, Y Lumban-Gaol, FES Silalahi… - … : International Journal on …, 2022 - joiv.org
Measuring the status of achievement of the SDGs is the task and concern of many countries
in the world, including Indonesia. Indicators for achieving the SDGs enclose three main …