NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
K Cawse-Nicholson, PA Townsend, D Schimel… - Remote sensing of …, 2021 - Elsevier
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Fire is a widespread Earth system process with important carbon and climate feedbacks.
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Quantifying forest canopy traits: Imaging spectroscopy versus field survey
Spatial and temporal information on plant functional traits are lacking in ecology, which limits
our understanding of how plant communities and ecosystems are changing. This problem is …
our understanding of how plant communities and ecosystems are changing. This problem is …
Airborne laser-guided imaging spectroscopy to map forest trait diversity and guide conservation
GP Asner, RE Martin, DE Knapp, R Tupayachi… - Science, 2017 - science.org
Functional biogeography may bridge a gap between field-based biodiversity information
and satellite-based Earth system studies, thereby supporting conservation plans to protect …
and satellite-based Earth system studies, thereby supporting conservation plans to protect …
A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales
Abstract Knowledge of tree species distribution is important worldwide for sustainable forest
management and resource evaluation. The accuracy and information content of species …
management and resource evaluation. The accuracy and information content of species …
A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery
In this study, we automate tree species classification and mapping using field-based training
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …
data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural …
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
The classification of airborne laser scanning (ALS) point clouds is a critical task of remote
sensing and photogrammetry fields. Although recent deep learning-based methods have …
sensing and photogrammetry fields. Although recent deep learning-based methods have …
[HTML][HTML] Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data
Tropical forests are a key component of the global carbon cycle, and mapping their carbon
density is essential for understanding human influences on climate and for ecosystem …
density is essential for understanding human influences on climate and for ecosystem …
Biodiversity monitoring, earth observations and the ecology of scale
CB Anderson - Ecology letters, 2018 - Wiley Online Library
Human activity and land‐use change are dramatically altering the sizes, geographical
distributions and functioning of biological populations worldwide, with tremendous …
distributions and functioning of biological populations worldwide, with tremendous …