[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

D Montero, C Aybar, MD Mahecha, F Martinuzzi… - Scientific Data, 2023 - nature.com
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …

Normalized Burn Ratio Plus (NBR+): a new index for Sentinel-2 imagery

E Alcaras, D Costantino, F Guastaferro, C Parente… - Remote Sensing, 2022 - mdpi.com
The monitoring of burned areas can easily be performed using satellite multispectral
images: several indices are available in the literature for highlighting the differences …

Wildfire damage assessment over Australia using sentinel-2 imagery and MODIS land cover product within the google earth engine cloud platform

ST Seydi, M Akhoondzadeh, M Amani, S Mahdavi - Remote Sensing, 2021 - mdpi.com
Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …

Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method

H Farhadi, A Esmaeily, M Najafzadeh - Computers & Geosciences, 2022 - Elsevier
Traditional methodologies of flood monitoring are generally time-consuming and demanding
tasks. In most cases, there is no possibility of flood monitoring in large areas. Due to the …

Exploitation of sentinel-2 time series to map burned areas at the national level: A case study on the 2017 italy wildfires

F Filipponi - Remote Sensing, 2019 - mdpi.com
Satellite data play a major role in supporting knowledge about fire severity by delivering
rapid information to map fire-damaged areas in a precise and prompt way. The high …

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] Uni-temporal multispectral imagery for burned area mapping with deep learning

X Hu, Y Ban, A Nascetti - Remote Sensing, 2021 - mdpi.com
Accurate burned area information is needed to assess the impacts of wildfires on people,
communities, and natural ecosystems. Various burned area detection methods have been …

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 …

[HTML][HTML] Automatic mapping of burned areas using Landsat 8 time-series images in Google Earth engine: A case study from Iran

H Gholamrezaie, M Hasanlou, M Amani… - Remote Sensing, 2022 - mdpi.com
Due to the natural conditions and inappropriate management responses, large part of plains
and forests in Iran have been burned in recent years. Given the increasing availability of …

[HTML][HTML] Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth …

AS Kulinan, Y Cho, M Park, S Park - International Journal of Applied Earth …, 2024 - Elsevier
Satellite data are essential during wildfires for understanding its adverse effects and
improving the effectiveness of rapid disaster management. However, existing techniques …