[HTML][HTML] Remote sensing of forest burnt area, burn severity, and post-fire recovery: A review

E Kurbanov, O Vorobev, S Lezhnin, J Sha, J Wang… - Remote Sensing, 2022 - mdpi.com
Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

[HTML][HTML] Global open data remote sensing satellite missions for land monitoring and conservation: A review

D Radočaj, J Obhođaš, M Jurišić, M Gašparović - Land, 2020 - mdpi.com
The application of global open data remote sensing satellite missions in land monitoring and
conservation studies is in the state of rapid growth, ensuring an observation with high spatial …

A remote sensing approach to map** fire severity in south-eastern Australia using sentinel 2 and random forest

R Gibson, T Danaher, W Hehir, L Collins - Remote sensing of environment, 2020 - Elsevier
Accurate and consistent broad-scale map** of fire severity is an important resource for fire
management as well as fire-related ecological and climate change research. Remote …

Training data requirements for fire severity map** using Landsat imagery and random forest

L Collins, G McCarthy, A Mellor, G Newell… - Remote Sensing of …, 2020 - Elsevier
The ability to map fire severity is a requirement for fire management agencies worldwide.
The development of repeatable methods to produce accurate and consistent fire severity …

The Landsat Burned Area algorithm and products for the conterminous United States

TJ Hawbaker, MK Vanderhoof, GL Schmidt… - Remote Sensing of …, 2020 - Elsevier
Complete and accurate burned area map data are needed to document spatial and
temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and …

[HTML][HTML] Giving ecological meaning to satellite-derived fire severity metrics across North American forests

SA Parks, LM Holsinger, MJ Koontz, L Collins… - Remote Sensing, 2019 - mdpi.com
Satellite-derived spectral indices such as the relativized burn ratio (RBR) allow fire severity
maps to be produced in a relatively straightforward manner across multiple fires and broad …

[HTML][HTML] Using UAV multispectral images for classification of forest burn severity—A case study of the 2019 Gangneung forest fire

J Shin, W Seo, T Kim, J Park, C Woo - Forests, 2019 - mdpi.com
Unmanned aerial vehicle (UAV)-based remote sensing has limitations in acquiring images
before a forest fire, although burn severity can be analyzed by comparing images before and …

[HTML][HTML] Evaluation of fire severity indices based on pre-and post-fire multispectral imagery sensed from UAV

F Carvajal-Ramírez, JR Marques da Silva… - Remote Sensing, 2019 - mdpi.com
Fire severity is a key factor for management of post-fire vegetation regeneration strategies
because it quantifies the impact of fire, describing the amount of damage. Several indices …

[HTML][HTML] 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 …

[HTML][HTML] High-severity wildfires in temperate Australian forests have increased in extent and aggregation in recent decades

BN Tran, MA Tanase, LT Bennett, C Aponte - PloS one, 2020 - journals.plos.org
Wildfires have increased in size and frequency in recent decades in many biomes, but have
they also become more severe? This question remains under-examined despite fire severity …