LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems

Ecological Informatics, Journal Year: 2023, Volume and Issue: 76, P. 102082 - 102082

Published: March 30, 2023

The "Height Variation Hypothesis" is an indirect approach used to estimate forest biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) measured by CHM LiDAR data indicates higher structure complexity and species diversity. This has traditionally been analyzed using only airborne which limits its application the availability of dedicated flight campaigns. In this study we relationship between diversity HH, calculated with four different indices two freely available CHMs derived from new space-borne GEDI data. first, a spatial resolution 30 m, was produced regression machine learning algorithm integrating Landsat optical information. second, 10 created Sentinel-2 images deep convolutional neural network. We tested separately in plots situated northern Italian Alps, 100 forested area Traunstein (Germany) successively all 130 cross-validation analysis. Forest density information also included as influencing factor multiple Our results show can be assess patterns ecosystems estimation HH correlated However, indicate method influenced factors including dataset choice their related resolution, calculate density. finding suggest LIDAR valuable tool ecosystems, aid global estimation.

Language: Английский

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Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102702 - 102702

Published: July 3, 2024

Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to link between different aspects of biodiversity and spatial patterns spectral data (e.g. reflectance) measured from optical remote sensing. This hypothesis initially assumed positive correlation variations computed raster in environment, which would turn correlate with species richness: following SVH, areas characterized by high heterogeneity (SH) should be related higher number available ecological niches, more likely host when combined. The past decade has witnessed major evolution progress both terms remotely sensed available, techniques analyze them, questions addressed. SVH been tested many contexts variety sensing data, this recent corpus highlighted potentials pitfalls. aim paper is review discuss methodological developments based on leading knowledge well conceptual uncertainties limitations for application estimate dimensions biodiversity. In particular, we systematically than 130 publications provide an overview ecosystems, characteristics (i.e., spatial, temporal resolution), metrics, tools, applications strength association SH metrics reported each study. conclusion, serves guideline researchers navigating complexities applying offering insights into current state future research possibilities field estimation data.

Language: Английский

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Forest Biodiversity Monitoring Based on Remotely Sensed Spectral Diversity—A Review

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(21), P. 5363 - 5363

Published: Oct. 26, 2022

Forests are essential for global environmental well-being because of their rich provision ecosystem services and regulating factors. Global forests under increasing pressure from climate change, resource extraction, anthropologically-driven disturbances. The results dramatic losses habitats accompanied with the reduction species diversity. There is urgent need forest biodiversity monitoring comprising analysis on α, β, γ scale to identify hotspots biodiversity. Remote sensing enables large-scale at multiple spatial temporal resolutions. Concepts remotely sensed spectral diversity have been identified as promising methodologies consistent multi-temporal This review provides a first time focus three concepts “vegetation indices”, “spectral information content”, species” based airborne spaceborne remote sensing. In addition, reviewed articles analyzed regarding spatiotemporal distribution, sensors, scales thematic foci. We multispectral sensors primary data source which underlines optical proxy Moreover, there general conceptual content. recent years, concept has raised attention applied Sentinel-2 MODIS local communities. Novel processing capacities complementary sets offer great potentials in future.

Language: Английский

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The Spectral Species Concept in Living Color

Journal of Geophysical Research Biogeosciences, Journal Year: 2022, Volume and Issue: 127(9)

Published: Aug. 13, 2022

Abstract Biodiversity monitoring is an almost inconceivable challenge at the scale of entire Earth. The current (and soon to be flown) generation spaceborne and airborne optical sensors (i.e., imaging spectrometers) can collect detailed information unprecedented spatial, temporal, spectral resolutions. These new data streams are preceded by a revolution in modeling analytics that utilize richness these datasets measure wide range plant traits, community composition, ecosystem functions. At heart this framework for biodiversity idea remotely identifying species making use ‘spectral species’ concept. In theory, concept defined as characterized unique signature thus detectable within pixel units image. reality, depending on spatial resolution, pixels may contain several which renders species‐specific assignment more challenging. aim paper review relate it underlying ecological principles, while also discussing complexities, challenges opportunities apply given future scientific advances remote sensing.

Language: Английский

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The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 293, P. 113591 - 113591

Published: April 27, 2023

Language: Английский

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Mountain Tree Species Mapping Using Sentinel-2, PlanetScope, and Airborne HySpex Hyperspectral Imagery

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(3), P. 844 - 844

Published: Feb. 2, 2023

Europe’s mountain forests, which are naturally valuable areas due to their high biodiversity and well-preserved natural characteristics, experiencing major alterations, so an important component of monitoring is obtaining up-to-date information concerning species composition, extent, location. An aspect mapping tree stands the selection remote sensing data that vary in temporal, spectral, spatial resolution, as well open commercial access. For Tatra Mountains area, a unique alpine ecosystem central Europe, we classified 13 woody by iterative machine learning methods using random forest (RF) support vector (SVM) algorithms more than 1000 polygons collected field. this task, used free Sentinel-2 multitemporal satellite (10 m pixel size, 12 spectral bands, 21 acquisition dates), PlanetScope (3 8 3 acquisitions airborne HySpex hyperspectral (2 430 single acquisition) with fusion topographic derivatives based on Shuttle Radar Topography Mission (SRTM) laser scanning (ALS) data. The classification method achieved highest F1-score (0.95 RF; 0.92 SVM) imagery, but cube, consisted scenes, offered comparable results (0.93 0.89 SVM). three images high-resolution produced slightly less accurate (0.89 0.87

Language: Английский

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Monitoring vegetation- and geodiversity with remote sensing and traits

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2024, Volume and Issue: 382(2269)

Published: Feb. 12, 2024

Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not only through long-term processes but also medium- short-term processes. is, therefore, a key control regulating variable in overall development of landscapes biodiversity. However, climate change land use intensity are leading to major changes disturbances bio- geodiversity. For sustainable ecosystem management, temporal, economically viable standardized monitoring is needed monitor model effects vegetation- RS approaches have been used for this purpose decades. understand detail how capture geodiversity, aim paper describe five features geodiversity captured using technologies, namely: (i) trait diversity, (ii) phylogenetic/genese (iii) structural (iv) taxonomic diversity (v) functional diversity. Trait essential establishing other four. Traits provide crucial interface between situ , close-range, aerial space-based approaches. The approach allows complex data different types formats be linked latest semantic integration techniques, which will enable integrity modelling future. This article part Theo Murphy meeting issue ‘Geodiversity science society’.

Language: Английский

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Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation experiments

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 302, P. 113988 - 113988

Published: Jan. 9, 2024

Language: Английский

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Monitoring and modelling landscape structure, land use intensity and landscape change as drivers of water quality using remote sensing

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 960, P. 178347 - 178347

Published: Jan. 1, 2025

The interactions between landscape structure, land use intensity (LUI), climate change, and ecological processes significantly impact hydrological processes, affecting water quality. Monitoring these factors is crucial for understanding their influence on Remote sensing (RS) provides a continuous, standardized approach to capture structures, LUI, changes over long-term time series. In this study, RS-based indicators from Landsat data (2018-2021) were used assess change study area in northern Germany, applying the ESIS/Imalys tool. These then model predict quality (Chl

Language: Английский

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The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science

npj Biodiversity, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 3, 2025

There are repeated calls for remote sensing observations to produce accessible data products that improve our understanding and conservation of biodiversity. The Biodiversity Survey the Cape (BioSCape) addresses this need by integrating field, airborne, satellite, modeling datasets advance limits global Over six weeks, an international team ~150 scientists collected across terrestrial, marine, freshwater ecosystems in South Africa. In situ biodiversity plant animal communities, estuaries, kelp, plankton were made using traditional field methods as well novel approaches like environmental DNA acoustic surveys. accompanied unprecedented combination airborne imaging spectroscopy lidar measurements acquired 45,000 km2. Here, we review how applied BioSCape will help us measure monitor at scale role accomplishing this.

Language: Английский

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