How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F24%3A10486646" target="_blank" >RIV/00216208:11310/24:10486646 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/24:00601030 RIV/60460709:41330/24:100310
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ymi8DQx_r-" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ymi8DQx_r-</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1029/2024EA003709" target="_blank" >10.1029/2024EA003709</a>
Alternative languages
Result language
angličtina
Original language name
How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?
Original language description
Filtering approaches on Global Ecosystem Dynamics Investigation (GEDI) data differconsiderably across existing studies and it is yet unclear which method is the most effective. We conducted anin-depth analysis of GEDI's vertical accuracy in mapping terrain and canopy heights across three study sites intemperate forests and grasslands in Spain, California, and New Zealand. We started with unfiltered data (2,081,108 footprints) and describe a workflow for data filtering using Level 2A parameters and for geolocationerror mitigation. We found that retaining observations with at least one detected mode eliminates noise moreeffectively than sensitivity. The accuracy of terrain and canopy height observations depended considerably onthe number of modes, beam sensitivity, landcover, and terrain slope. In dense forests, a minimum sensitivity of 0.9 was required, while in areas with sparse vegetation, sensitivity of 0.5 sufficed. Sensitivity greater than 0.9 resulted in an overestimation of canopy height in grasslands, especially on steep slopes, where high sensitivityled to the detection of multiple modes. We suggest excluding observations with more than five modes ingrasslands. We found that the most effective strategy for filtering low-quality observations was to combine thequality flag and difference from TanDEM-X, striking an optimal balance between eliminating poor-quality dataand preserving a maximum number of high-quality observations. Positional shifts improved the accuracy of GEDI terrain estimates but not of vegetation height estimates. Our findings guide users to an easy way ofprocessing of GEDI footprints, enabling the use of the most accurate data and leading to more reliable applications.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10508 - Physical geography
Result continuities
Project
<a href="/en/project/SS02030018" target="_blank" >SS02030018: Center for Landscape and Biodiversity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Earth and Space Science
ISSN
2333-5084
e-ISSN
2333-5084
Volume of the periodical
11
Issue of the periodical within the volume
10
Country of publishing house
GB - UNITED KINGDOM
Number of pages
26
Pages from-to
e2024EA003709
UT code for WoS article
001368252700001
EID of the result in the Scopus database
2-s2.0-85207567649