Satellite remote sensing contributions to wildland fire science and management

E Chuvieco, I Aguado, J Salas, M García… - Current Forestry …, 2020 - Springer
Purpose This paper reviews the most recent literature related to the use of remote sensing
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …

[HTML][HTML] Remote sensing techniques to assess post-fire vegetation recovery

F Pérez-Cabello, R Montorio, DB Alves - Current Opinion in Environmental …, 2021 - Elsevier
Wildfires substantially disrupt and reshape the structure, composition and functioning of
ecosystems. Monitoring post-fire recovery dynamics is crucial for evaluating resilience and …

Evaluation of machine learning algorithms for forest stand species map** using Sentinel-2 imagery and environmental data in the Polish Carpathians

E Grabska, D Frantz, K Ostapowicz - Remote Sensing of Environment, 2020 - Elsevier
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …

A modified bare soil index to identify bare land features during agricultural fallow-period in southeast Asia using Landsat 8

CT Nguyen, A Chidthaisong, P Kieu Diem, LZ Huo - Land, 2021 - mdpi.com
Bare soil is a critical element in the urban landscape and plays an essential role in urban
environments. Yet, the separation of bare soil and other land cover types using remote …

Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning …

A Tariq, H Shu, S Siddiqui, I Munir, A Sharifi… - Journal of Forestry …, 2022 - Springer
Most forest fires in the Margalla Hills are related to human activities and socioeconomic
factors are essential to assess their likelihood of occurrence. This study considers both …

Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types

BC Bright, AT Hudak, RE Kennedy, JD Braaten… - Fire Ecology, 2019 - Springer
Background Few studies have examined post-fire vegetation recovery in temperate forest
ecosystems with Landsat time series analysis. We analyzed time series of Normalized Burn …

Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985 …

M Waleed, M Sajjad, MS Shazil, M Tariq, MT Alam - Ecological Informatics, 2023 - Elsevier
Wetlands are crucial ecosystems as they enhance the quality of groundwater, protect from
natural hazards, control erosion, and provide habitat to rare species of flora and fauna …

A survey of computer vision techniques for forest characterization and carbon monitoring tasks

S Illarionova, D Shadrin, P Tregubova, V Ignatiev… - Remote Sensing, 2022 - mdpi.com
Estimation of terrestrial carbon balance is one of the key tasks in the understanding and
prognosis of climate change impacts and the development of tools and policies according to …

Evaluating the best spectral indices for the detection of burn scars at several post-fire dates in a mountainous region of Northwest Yunnan, China

D Fornacca, G Ren, W **ao - Remote Sensing, 2018 - mdpi.com
Remote mountainous regions are among the Earth's last remaining wild spots, hosting rare
ecosystems and rich biodiversity. Because of access difficulties and low population density …

Longitudinal propagation of aquatic disturbances following the largest wildfire recorded in New Mexico, USA

J Nichols, E Joseph, A Kaphle, P Tunby… - Nature …, 2024 - nature.com
Wildfire disturbance propagation along fluvial networks remains poorly understood. We use
incident, atmospheric, and water-quality data from the largest wildfire in New Mexico's …