A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems

G De Luca, JMN Silva, G Modica - GIScience & Remote Sensing, 2021 - Taylor & Francis
This paper investigates the capability of the free synthetic aperture radar (SAR) Sentinel-1 (S-
1) C-band data for burned area map** through unsupervised machine learning open …

Map** canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements

R Meng, PE Dennison, F Zhao, I Shendryk… - Remote Sensing of …, 2018 - Elsevier
Defoliation by herbivorous insects is a widespread forest disturbance driver, affecting global
forest health and ecosystem dynamics. Compared with time-and labor-intensive field …

Landsat-based monitoring of southern pine beetle infestation severity and severity change in a temperate mixed forest

R Meng, R Gao, F Zhao, C Huang, R Sun, Z Lv… - Remote sensing of …, 2022 - Elsevier
The recent northward expansion of Southern Pine Beetle (SPB) outbreaks associated with
warming winters has caused extensive tree mortality in temperate pine forests, significantly …

Wildfire burn severity and emissions inventory: an example implementation over California

Q Xu, ALR Westerling, A Notohamiprodjo… - Environmental …, 2022 - iopscience.iop.org
Wildfire severity is a key indicator of both direct ecosystem impacts and indirect emissions
impacts that affect air quality, climate, and public health far beyond the spatial footprint of the …

Remote sensing of environmental drivers influencing the movement ecology of sympatric wild and domestic ungulates in semi-arid savannas, a review

F Rumiano, E Wielgus, E Miguel… - Remote Sensing, 2020 - mdpi.com
Interfaces between protected areas and their peripheries in southern Africa are subject to
interactions between wildlife and livestock that vary in frequency and intensity. In these …

Field-validated burn-severity map** in North Patagonian forests

MG Franco, IA Mundo, TT Veblen - Remote Sensing, 2020 - mdpi.com
Burn severity, which can be reliably estimated by validated spectral indices, is a key element
for understanding ecosystem dynamics and informing management strategies. However, in …

Performance analysis of deep convolutional autoencoders with different patch sizes for change detection from burnt areas

PP de Bem, OA de Carvalho Júnior, OLF de Carvalho… - Remote Sensing, 2020 - mdpi.com
Fire is one of the primary sources of damages to natural environments globally. Estimates
show that approximately 4 million km2 of land burns yearly. Studies have shown that such …

[HTML][HTML] Trends and Applications in Wildfire Burned Area Map**: Remote Sensing Data, Cloud Geoprocessing Platforms, and Emerging Algorithms

DM Nelson, Y He, GWK Moore - Geomatica, 2024 - Elsevier
Wildfires pose an increasing risk to expanding urban population centers, and to critical
habitats for plant and animal species. Improving current wildland management strategies …

Burn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data

A Fernandez-Manso, C Quintano… - ISPRS Journal of …, 2019 - Elsevier
All ecosystems and in particular ecosystems in Mediterranean climates are affected by fires.
Knowledge of the drivers that most influence burn severity patterns as well an accurate map …

Evaluation of prescribed fires from unmanned aerial vehicles (UAVs) imagery and machine learning algorithms

LA Pérez-Rodríguez, C Quintano, E Marcos… - Remote Sensing, 2020 - mdpi.com
Prescribed fires have been applied in many countries as a useful management tool to
prevent large forest fires. Knowledge on burn severity is of great interest for predicting post …