Vegetation map** with random forest using sentinel 2 and GLCM texture feature—A case study for Lousã region, Portugal

P Mohammadpour, DX Viegas, C Viegas - Remote Sensing, 2022 - mdpi.com
Vegetation map** requires accurate information to allow its use in applications such as
sustainable forest management against the effects of climate change and the threat of …

The superiority of the Adjusted Normalized Difference Snow Index (ANDSI) for map** glaciers using Sentinel-2 multispectral satellite imagery

B Mohammadi, P Pilesjö, Z Duan - GIScience & Remote Sensing, 2023 - Taylor & Francis
Accurate monitoring of glaciers' extents and their dynamics is essential for improving our
understanding of the impacts of climate and environmental changes in cold regions. The …

Spatiotemporal land-use dynamics in continental Portugal 1995–2018

A Alves, F Marcelino, E Gomes, J Rocha, M Caetano - Sustainability, 2022 - mdpi.com
Monitoring land-use patterns and its trends provides useful information for impact evaluation
and policy design. The latest in-depth studies of land-use dynamics for continental Portugal …

Forest Land Resource Information Acquisition with Sentinel-2 Image Utilizing Support Vector Machine, K-Nearest Neighbor, Random Forest, Decision Trees and Multi …

C Zhang, Y Liu, N Tie - Forests, 2023 - mdpi.com
Forestry work involves scientific management and the effective utilization of forest land
resources, and finding economical, efficient and accurate acquisition methods for forest land …

Training data in satellite image classification for land cover map**: a review

D Moraes, ML Campagnolo… - European Journal of …, 2024 - Taylor & Francis
The current land cover (LC) map** paradigm relies on automatic satellite imagery
classification, predominantly through supervised methods, which depend on training data to …

Map** the most susceptible regions to fire in Portugal

T Ermitão, P Páscoa, I Trigo, C Alonso, C Gouveia - Fire, 2023 - mdpi.com
Mediterranean European countries, including Portugal, are considered fire-prone regions,
being affected by fire events every summer. Nonetheless, Portugal has been recording large …

[HTML][HTML] High-resolution land use land cover dataset for meteorological modelling—Part 1: ECOCLIMAP-SG+ an agreement-based dataset

G Bessardon, T Rieutord, E Gleeson, B Pálmason… - Land, 2024 - mdpi.com
ECOCLIMAP-SG+ is a new 60 m land use land cover dataset, which covers a continental
domain and represents the 33 labels of the original ECOCLIMAP-SG dataset. ECOCLIMAP …

An interactive WebGIS integrating environmental susceptibility map** in a self-burning waste pile using a multi-criteria decision analysis approach

L Duarte, AC Teodoro, P Santos… - Geosciences, 2022 - mdpi.com
Mining activities promote resulting wastes, so coal mines are prone to release contaminants
to the environment, namely to the soil and water. Therefore, the analysis of this type of risk is …

Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model

P Fang, G Ou, R Li, L Wang, W Xu, Q Dai… - GIScience & Remote …, 2023 - Taylor & Francis
Though many new remote sensing technologies have been introduced to analyze forests,
regional-scale species-level map** products are still rare, especially in large mountainous …