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A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems
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 …
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
Defoliation by herbivorous insects is a widespread forest disturbance driver, affecting global
forest health and ecosystem dynamics. Compared with time-and labor-intensive field …
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
The recent northward expansion of Southern Pine Beetle (SPB) outbreaks associated with
warming winters has caused extensive tree mortality in temperate pine forests, significantly …
warming winters has caused extensive tree mortality in temperate pine forests, significantly …
Wildfire burn severity and emissions inventory: an example implementation over California
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 …
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 …
interactions between wildlife and livestock that vary in frequency and intensity. In these …
Field-validated burn-severity map** in North Patagonian forests
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 …
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
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 …
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
Wildfires pose an increasing risk to expanding urban population centers, and to critical
habitats for plant and animal species. Improving current wildland management strategies …
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
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 …
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 …
prevent large forest fires. Knowledge on burn severity is of great interest for predicting post …