Assessment of k-nearest neighbor and random forest classifiers for map** forest fire areas in central portugal using landsat-8, sentinel-2, and terra imagery

AP Pacheco, JAS Junior, AM Ruiz-Armenteros… - Remote Sensing, 2021 - mdpi.com
Forest fires threaten the population's health, biomass, and biodiversity, intensifying the
desertification processes and causing temporary damage to conservation areas. Remote …

Burned area detection and map** using time series Sentinel-2 multispectral images

P Liu, Y Liu, X Guo, W Zhao, H Wu, W Xu - Remote Sensing of Environment, 2023 - Elsevier
Accurate map** of burned areas (BAs) is essential for post-disaster reconstruction, air
quality assessment, and estimation of fire emissions. Remote sensing has become the most …

Landsat and sentinel-2 based burned area map** tools in google earth engine

E Roteta, A Bastarrika, M Franquesa, E Chuvieco - Remote Sensing, 2021 - mdpi.com
Four burned area tools were implemented in Google Earth Engine (GEE), to obtain regular
processes related to burned area (BA) map**, using medium spatial resolution sensors …

Mono-temporal and multi-temporal approaches for burnt area detection using Sentinel-2 satellite imagery (a case study of Rokan Hilir Regency, Indonesia)

N Afira, AW Wijayanto - Ecological Informatics, 2022 - Elsevier
Accurate and up-to-date information about the burnt area is important in estimating
environmental losses, prioritizing rehabilitation areas, and determining future planning …

Burned area detection using multi-sensor SAR, optical, and thermal data in Mediterranean pine forest

S Abdikan, C Bayik, A Sekertekin, F Bektas Balcik… - Forests, 2022 - mdpi.com
Burned area (BA) map** of a forest after a fire is required for its management and the
determination of the impacts on ecosystems. Different remote sensing sensors and their …

Regional-scale burned area map** in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data

G De Luca, JMN Silva, G Modica - GIScience & Remote Sensing, 2022 - Taylor & Francis
Wildland fires are among the main factors affecting the surrounding territory in terms of
ecological and socioeconomic changes at different temporal and spatial scales. In the …

Improved burned area map** using monotemporal Landsat-9 imagery and convolutional shift-transformer

ST Seydi, M Sadegh - Measurement, 2023 - Elsevier
Satellite imagery, specifically Landsat, have been widely used for map** and monitoring
wildfire burned areas. The new Landsat-9 satellite–with higher radiometric resolution …

Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires map**. Illustrations from the summer 2017 fires in Tunisia

H Achour, A Toujani, H Trabelsi… - Geocarto …, 2022 - Taylor & Francis
This study aims to assess the performance of the Sentinel-2 and Landsat 8 sensors to map
forest fires. We choose two fire events, the Haddad fire and the Sidi Ferdjani fire, in …
MM Hassan, I Hasan, J Southworth… - International Journal of …, 2022 - Elsevier
The impacts of fires on society and the environment are wide-ranging, and examining such
fire incidents is of critical importance to communities, governments, and scientists. Satellite …

[HTML][HTML] Afforestation monitoring through automatic analysis of 36-years Landsat Best Available Composites

A Cavalli, S Francini, G Cecili, C Cocozza… - iForest …, 2022 - iforest.sisef.org
The study of afforestation is crucial to monitor land transformations and represents a central
topic in sustainable development procedures, in terms of climate change, ecosystem …