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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 …
Remote sensing of phenology: Towards the comprehensive indicators of plant community dynamics from species to regional scales
Remote sensing of vegetation phenology has long been used to characterize ecosystem
functions and responses to climate at spatial and temporal scales unfeasible to field surveys …
functions and responses to climate at spatial and temporal scales unfeasible to field surveys …
Remote sensing of terrestrial plant biodiversity
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
[HTML][HTML] Unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring: A systematic review
X Lyu, X Li, D Dang, H Dou, K Wang, A Lou - Remote sensing, 2022 - mdpi.com
In recent years, the application of unmanned aerial vehicle (UAV) remote sensing in
grassland ecosystem monitoring has increased, and the application directions have …
grassland ecosystem monitoring has increased, and the application directions have …
[HTML][HTML] Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary
Monitoring and assessing wetland diversity is crucial for its accurate preservation.
Hyperspectral satellites have been proven effective for detailed investigations of plant …
Hyperspectral satellites have been proven effective for detailed investigations of plant …
Plant beta-diversity across biomes captured by imaging spectroscopy
AK Schweiger, E Laliberté - Nature Communications, 2022 - nature.com
Monitoring the rapid and extensive changes in plant species distributions occurring
worldwide requires large-scale, continuous and repeated biodiversity assessments. Imaging …
worldwide requires large-scale, continuous and repeated biodiversity assessments. Imaging …
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands
C Rossi, M Kneubühler, M Schütz… - Remote Sensing in …, 2022 - Wiley Online Library
Increasing evidence suggests that remotely sensed spectral diversity is linked to plant
species richness. However, a conflicting spectral diversity–biodiversity relationship in …
species richness. However, a conflicting spectral diversity–biodiversity relationship in …
Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital …
Rangelands cover 70% of the world's land surface, and provide critical ecosystem services
of primary production, soil carbon storage, and nutrient cycling. These ecosystem services …
of primary production, soil carbon storage, and nutrient cycling. These ecosystem services …
The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale
Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is
limited by cost, time, and scale. Remote sensing is a convenient approach providing …
limited by cost, time, and scale. Remote sensing is a convenient approach providing …
[HTML][HTML] Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …
link between different aspects of biodiversity and spatial patterns of spectral data (eg …