Satellite remote sensing contributions to wildland fire science and management
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 …
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
[HTML][HTML] Remote sensing techniques to assess post-fire vegetation recovery
Wildfires substantially disrupt and reshape the structure, composition and functioning of
ecosystems. Monitoring post-fire recovery dynamics is crucial for evaluating resilience and …
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
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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 …
incident, atmospheric, and water-quality data from the largest wildfire in New Mexico's …