ASSESSMENT OF BOTTOM-OF-ATMOSPHERE REFLECTANCE IN LIDAR DATA ASREFERENCE FOR HYPERSPECTRAL IMAGERY [PDF]
, 2017 Andreas Roncat +2 more
openalex +1 more source
Modelling forest dynamics using integral projection models and repeat lidar
Remote Sensing in Ecology and Conservation, EarlyView.Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen +9 more
wiley +1 more source
Joint Classification of Hyperspectral and LiDAR Data Based on Position-Channel Cooperative Attention Network [PDF]
, 2022 Lin Zhou, Jie Geng, Wen Jiang
openalex +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean +4 more
wiley +1 more source
MSGF-GLP: fusion method of visible and hyperspectral data for early detection of discolored standing trees. [PDF]
Front Plant Sci, 2023 Zhou H +6 more
europepmc +1 more source
Alteration information extraction of Tiangong-1 hyperspectral data based on band correlation detection [PDF]
, 2014 中国科学院 遥感与数字地球研究所,北京,100101 +1 more
openalex +1 more source
An Improved Method Combining CNN and 1D-Var for the Retrieval of Atmospheric Humidity Profiles from FY-4A/GIIRS Hyperspectral Data [PDF]
, 2021 Pengyu Huang +6 more
openalex +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden +8 more
wiley +1 more source
In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape. [PDF]
Data Brief, 2023 Rajesh CB +4 more
europepmc +1 more source