[HTML][HTML] Unmixing-based forest recovery indicators for predicting long-term recovery success
Recovery from forest disturbances is a pivotal metric of forest resilience. Forests globally are
facing unprecedented levels of both natural and anthropogenic disturbances, yet our …
facing unprecedented levels of both natural and anthropogenic disturbances, yet our …
Revealing post-megafire spectral and compositional recovery in the Siberian boreal forest using Landsat time series and regression-based unmixing approach
SG Bao, WJ Wang, Z Liu, HK Zhang, L Wang… - Remote Sensing of …, 2024 - Elsevier
Megafires trigger abrupt ecosystem changes and may lead to alternative successional
pathways, thereby undermining the recovery and resilience of forests. However …
pathways, thereby undermining the recovery and resilience of forests. However …
[HTML][HTML] Characterizing forest structural changes in response to non-stand replacing disturbances using bitemporal airborne laser scanning data
Characterizing the extent, severity, and persistence of natural disturbances in forests is
crucial in areas as large and heterogeneous as the Canadian boreal forest. Non-stand …
crucial in areas as large and heterogeneous as the Canadian boreal forest. Non-stand …
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests
Abstract Western North America has seen a recent dramatic increase in large and often high‐
severity wildfires. After forest fire, understanding patterns of structural recovery is important …
severity wildfires. After forest fire, understanding patterns of structural recovery is important …
A fast spectral recovery does not necessarily indicate post-fire forest recovery
Background Climate change has increased wildfire activity in the western USA and limited
the capacity for forests to recover post-fire, especially in areas burned at high severity. Land …
the capacity for forests to recover post-fire, especially in areas burned at high severity. Land …
Establishing Baseline Biodiversity Through Hyper Spectral Imaging
A Kumar, I Sharma, S Rana, R Sawanni… - 2024 International …, 2024 - ieeexplore.ieee.org
Hyper spectral imaging (HSI) is an era that is getting used to map and measure biodiversity
in distinct regions. Biodiversity refers to the variety and variability of residing organisms …
in distinct regions. Biodiversity refers to the variety and variability of residing organisms …
Remote sensing image recognition and monitoring methods for wetland resources in lake areas
C Gao - Fifth International Conference on Geology, Mapping …, 2024 - spiedigitallibrary.org
The types of wetland resources in lake areas are diverse and complex, and the differences
in spectral characteristics of different features can easily lead to a decrease in recognition …
in spectral characteristics of different features can easily lead to a decrease in recognition …