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Mapping multi‐scale vascular plant richness in a forest landscape with integrated Li DAR and hyperspectral remote‐sensing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Modeling plant composition as community continua in a forest landscape with L i DAR and hyperspectral remote sensing
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Quantitative tools for perfecting species lists
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Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions
inferredcites →https://doi.org/10.1007/978-0-387-21706-2openalex-snapshot
Modern Applied Statistics with S
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Modeling Species Distribution and Change Using Random Forest
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Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction
inferredcites →https://doi.org/10.1016/0034-4257(89)90069-2openalex-snapshot
Remote sensing of foliar chemistry
inferredcites →https://doi.org/10.1016/0034-4257(94)90013-2openalex-snapshot
How unique are spectral signatures?
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Land cover mapping and data availability in critical terrestrial ecoregions: A global perspective with Landsat thematic mapper and enhanced thematic mapper plus data
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Advancing species diversity estimate by remotely sensed proxies: A conceptual review
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Quantitative floristics as a tool for the assessment of plant diversity in Tuscan forests
inferredcites →https://doi.org/10.1016/j.geomorph.2012.12.015openalex-snapshot
Application of the topographic position index to heterogeneous landscapes
inferredcites →https://doi.org/10.1016/j.rse.2003.12.013openalex-snapshot
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
inferredcites →https://doi.org/10.1016/j.rse.2007.03.018openalex-snapshot
Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery
inferredcites →https://doi.org/10.1016/j.rse.2008.10.019openalex-snapshot
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
inferredcites →https://doi.org/10.1016/j.rse.2010.02.012openalex-snapshot
Characterizing temperate forest structural and spectral diversity with Hyperion EO-1 data
inferredcites →https://doi.org/10.1016/j.rse.2012.06.011openalex-snapshot
A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species
inferredcites →https://doi.org/10.1016/j.rse.2015.05.007openalex-snapshot
Differentiating plant species within and across diverse ecosystems with imaging spectroscopy
inferredcites →https://doi.org/10.1016/j.rse.2017.01.036openalex-snapshot
The spectral variability hypothesis does not hold across landscapes
inferredcites →https://doi.org/10.1016/s0034-4257(98)00014-5openalex-snapshot
Biophysical and Biochemical Sources of Variability in Canopy Reflectance
inferredcites →https://doi.org/10.1016/s0169-5347(00)88955-7openalex-snapshot
Research in large, long-term tropical forest plots
inferredcites →https://doi.org/10.1038/37348openalex-snapshot
Biodiversity enhances ecosystem reliability
inferredcites →https://doi.org/10.1038/379718a0openalex-snapshot
Productivity and sustainability influenced by biodiversity in grassland ecosystems
inferredcites →https://doi.org/10.1038/nature11118openalex-snapshot
A global synthesis reveals biodiversity loss as a major driver of ecosystem change
inferredcites →https://doi.org/10.1073/pnas.1506279112openalex-snapshot
Biodiversity inhibits parasites: Broad evidence for the dilution effect
inferredcites →https://doi.org/10.1073/pnas.1518285112openalex-snapshot
Why significant variables aren’t automatically good predictors
inferredcites →https://doi.org/10.1080/02626667909491834openalex-snapshot
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
inferredcites →https://doi.org/10.1080/02664763.2011.578621openalex-snapshot
Bias-corrected random forests in regression
inferredcites →https://doi.org/10.1080/17538947.2012.713190openalex-snapshot
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges
inferredcites →https://doi.org/10.1093/acprof:osobl/9780199837656.003.0010openalex-snapshot
Herbaceous Layer Species Richness of Southeastern Forests and Woodlands
inferredcites →https://doi.org/10.1093/jof/98.6.44openalex-snapshot
Lidar Remote Sensing for Forestry
inferredcites →https://doi.org/10.1111/ele.12608openalex-snapshot
Tree diversity, tree height and environmental harshness in eastern and western North America
inferredcites →https://doi.org/10.1111/gcb.12712openalex-snapshot
CTFS ‐Forest GEO : a worldwide network monitoring forests in an era of global change
inferredcites →https://doi.org/10.1111/j.1466-822x.2006.00255.xopenalex-snapshot
Modelling tree diversity in a highly fragmented tropical montane landscape
inferredcites →https://doi.org/10.1111/j.1466-8238.2006.00255.xopenalex-snapshot
Modelling tree diversity in a highly fragmented tropical montane landscape
inferredcites →https://doi.org/10.1111/j.1469-8137.2010.03536.xopenalex-snapshot
Sources of variability in canopy reflectance and the convergent properties of plants
inferredcites →https://doi.org/10.1111/j.1654-109x.2009.01037.xopenalex-snapshot
Mapping continuous fields of forest alpha and beta diversity
inferredcites →https://doi.org/10.1111/j.1654-109x.2011.01150.xopenalex-snapshot
Classification and description of alluvial plant communities of the Piedmont region, North Carolina, USA
inferredcites →https://doi.org/10.1111/jbi.12199openalex-snapshot
Modelling species distributions with remote sensing data: bridging disciplinary perspectives
inferredcites →https://doi.org/10.1111/jbi.12696openalex-snapshot
Environmental predictors of species richness in forest landscapes: abiotic factors versus vegetation structure
inferredcites →https://doi.org/10.1111/jvs.12451openalex-snapshot
Forest structure as a predictor of tree species diversity in the North Carolina Piedmont
inferredcites →https://doi.org/10.1111/oik.03726openalex-snapshot
The priority of prediction in ecological understanding
inferredcites →https://doi.org/10.1117/1.3361375openalex-snapshot
NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure
inferredcites →https://doi.org/10.1126/science.291.5505.864openalex-snapshot
Scale Dependence in Plant Biodiversity
inferredcites →https://doi.org/10.1139/x10-024openalex-snapshot
Comparisons between field- and LiDAR-based measures of stand structural complexity
inferredcites →https://doi.org/10.1139/x94-046openalex-snapshot
Causes and consequences of resource heterogeneity in forests: interspecific variation in light transmission by canopy trees
inferredcites →https://doi.org/10.1177/0309133308093606openalex-snapshot
Measuring and modelling biodiversity from space
inferredcites →https://doi.org/10.1201/9781003541172-10openalex-snapshot
Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum
inferredcites →https://doi.org/10.1562/0031-8655(2002)0750272accipl2.0.co2openalex-snapshot
Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶
inferredcites →https://doi.org/10.1890/0012-9658(2007)88[243:btfema]2.0.co;2openalex-snapshot
BOOSTED TREES FOR ECOLOGICAL MODELING AND PREDICTION
inferredcites →https://doi.org/10.1890/02-0433openalex-snapshot
PLANT DIVERSITY, SOIL MICROBIAL COMMUNITIES, AND ECOSYSTEM FUNCTION: ARE THERE ANY LINKS?
inferredcites →https://doi.org/10.1890/070152openalex-snapshot
Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests
inferredcites →https://doi.org/10.1890/13-1824.1openalex-snapshot
Mapping tropical forest canopy diversity using high‐fidelity imaging spectroscopy
inferredcites →https://doi.org/10.1890/14-1593.1openalex-snapshot
Predicting spatial variations of tree species richness in tropical forests from high‐resolution remote sensing
inferredcites →https://doi.org/10.1890/14-1780.1openalex-snapshot
Prevalence and strength of density‐dependent tree recruitment
inferredcites →https://doi.org/10.2307/1941383openalex-snapshot
Population Dynamics in Loblolly Pine Stands: Changes in Skewness and Size Inequality
inferredcites →https://doi.org/10.2307/1941447openalex-snapshot
The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture
inferredcites →https://doi.org/10.2307/3237352openalex-snapshot
Does diversity beget diversity? A case study of crops and weeds
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3390/rs4124010openalex-snapshot
Plant Species Richness is Associated with Canopy Height and Topography in a Neotropical Forest
inferredcites →https://doi.org/10.3390/rs5084045openalex-snapshot
NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager
inferredcites →https://doi.org/10.3390/rs8010001openalex-snapshot
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing
inferredcites →https://doi.org/10.3390/rs8030221openalex-snapshot
Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity
inferredcites →https://doi.org/10.7809/b-e.00080openalex-snapshot
VegBank – a permanent, open-access archive for vegetation-plot data
inferredcites →https://doi.org/10.7809/b-e.00081openalex-snapshot
Vegetation-plot database of the Carolina Vegetation Survey
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Zy1-02d Satellite Hyperspectral Remote Sensing: Spatial Scaling Analysis and Monitoring of Landscape Wetland Diversity
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Early Detection of Invasive Phragmites Australis at the Tidal Marsh-Forest Ecotone with Airborne Lidar
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Early Detection of Invasive Phragmites Australis at the Tidal Marsh-Forest Ecotone with Airborne Lidar
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High‐resolution spectral data predict taxonomic diversity in low diversity grasslands
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Linking aerial hyperspectral data to canopy tree biodiversity: An examination of the spectral variation hypothesis
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Tree canopy cover constrains the fertility–diversity relationship in plant communities of the southeastern United States
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Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats
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Remote Sensing of Plant Biodiversity
inferred← citeshttps://doi.org/10.1016/b978-0-444-63977-6.00013-4openalex-snapshot
Fusion of hyperspectral imaging and LiDAR for forest monitoring
inferred← citeshttps://doi.org/10.1016/j.biocon.2019.02.034openalex-snapshot
Beyond refuges: Identifying temporally dynamic havens to support ecological resistance and resilience to climatic disturbances
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2023.102082openalex-snapshot
LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.102993openalex-snapshot
Mapping alpha diversity of plant species using scale effects of remote sensing
inferred← citeshttps://doi.org/10.1016/j.ecolind.2020.106520openalex-snapshot
Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data
inferred← citeshttps://doi.org/10.1016/j.ecolind.2021.108106openalex-snapshot
Remote sensing of spectral diversity: A new methodological approach to account for spatio-temporal dissimilarities between plant communities
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Uncovering optimal vegetation indices for estimating wetland plant species diversity
inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112651openalex-snapshot
Early detection of invasive Phragmites australis at the tidal marsh-forest ecotone with airborne LiDAR
inferred← citeshttps://doi.org/10.1016/j.foreco.2018.09.003openalex-snapshot
Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data
inferred← citeshttps://doi.org/10.1016/j.foreco.2025.122987openalex-snapshot
A new lens on biodiversity assessment: The reliability of high-resolution remote sensing in investigating tree species diversity in old-growth forests
inferred← citeshttps://doi.org/10.1016/j.infgeo.2026.100058openalex-snapshot
Discrepancy in minimum sampling areas for UAV hyperspectral remote sensing and traditional biodiversity monitoring
inferred← citeshttps://doi.org/10.1016/j.jag.2024.103716openalex-snapshot
Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104441openalex-snapshot
Understanding the effects of spatial scaling on the relationship between urban structure and biodiversity
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104902openalex-snapshot
Spectral heterogeneity from the spaceborne imaging spectrometer EnMAP reveals biodiversity patterns in forest ecosystems
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111218openalex-snapshot
Remote sensing of terrestrial plant biodiversity
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Sun–induced fluorescence heterogeneity as a measure of functional diversity
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NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
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Explaining discrepancies between spectral and in-situ plant diversity in multispectral satellite earth observation
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Synergies Among Environmental Science Research and Monitoring Networks: A Research Agenda
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