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NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
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 map** of global spatiotemporal patterns of fire …
Multispectral remote sensing has enabled map** of global spatiotemporal patterns of fire …
[PDF][PDF] Спутниковое картографирование растительного покрова России
СА Барталев, ВА Егоров, ВО Жарко, ЕА Лупян… - М.: ИКИ …, 2016 - researchgate.net
В работе представлен новый автоматизированный метод картографирования
растительного покрова на основе данных спутниковых наблюдений …
растительного покрова на основе данных спутниковых наблюдений …
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 …
Multiscale 3-D–2-D mixed CNN and lightweight attention-free transformer for hyperspectral and LiDAR classification
The effective combination of hyperspectral image (HSI) and light detection and ranging
(LiDAR) data can be used for land cover classification. Recently, deep-learning-based …
(LiDAR) data can be used for land cover classification. Recently, deep-learning-based …
Airborne laser-guided imaging spectroscopy to map forest trait diversity and guide conservation
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 …
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 …
A framework for map** 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 …
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] A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery
In this study, we automate tree species classification and map** 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 …