Community‐driven variations in snow algae color modulate snow albedo reduction
Summary Snow algae blooms visibly alter snow color and surface energy balance, yet the biological basis of this variability remains unclear. We investigated how pigment composition and community structure shape the optical properties of snow algae blooms of distinct colors – red, orange, and green – co‐occurring within the same snowfield in Glacier ...
Pablo Almela +4 more
wiley +1 more source
AVIRIS‐3 Rapid Response to January 2025 Los Angeles Wildfires
Abstract Wildfires in wildland‐urban interfaces (WUIs) are a growing concern due to their devastating impact on human communities and ecosystems. Low‐latency impact assessment is critical for wildfire response, yet immediate access to fire‐affected communities can be limited.
Megan Ward‐Baranyay +15 more
wiley +1 more source
Dynamic gated fusion network with hierarchical multi-scale attention for hyperspectral image classification. [PDF]
Shi X, Liu L, Bao X, Pan B, Hussain S.
europepmc +1 more source
CINet: Causal Inference inspired Network for Cross-Scene Hyperspectral Image Classification
Chuancong Lin, Zhaoyang You, Yaohai Lin
openalex +1 more source
SSUM: Spatial–Spectral Unified Mamba for Hyperspectral Image Classification [PDF]
Song Lu +5 more
openalex +1 more source
Comparison of drone and ground surveys for the detection of a rare plant in a fragile ecosystem
We compared the accuracy, time, and financial costs of drone and ground surveys for the detection of wood lilies (Lilium philadelphicum) in an endangered alvar ecosystem. We found that the drone surveys detected 73%–78% of the plants found in the ground surveys, but that this type of survey was more expensive and time consuming than the ground survey ...
Ana Hernández Martínez de la Riva +3 more
wiley +1 more source
SGFNet: Redundancy-Reduced Spectral-Spatial Fusion Network for Hyperspectral Image Classification. [PDF]
Wang B, Cao C, Kong D.
europepmc +1 more source
Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance. [PDF]
Zhan Y, Wang Y, Yu X.
europepmc +1 more source

