| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | plutao.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP3W/48743SE |
| Repositório | sid.inpe.br/plutao/2022/12.12.17.53 (acesso restrito) |
| Última Atualização | 2022:12.13.23.09.40 (UTC) lattes |
| Repositório de Metadados | sid.inpe.br/plutao/2022/12.12.17.53.11 |
| Última Atualização dos Metadados | 2023:07.08.07.14.39 (UTC) administrator |
| DOI | 10.1016/j.srs.2022.100067 |
| ISSN | 2666-0172 |
| Rótulo | lattes: 1325667605623244 5 UrbazaevHHSOTDHUAS:2022:AsTeEl |
| Chave de Citação | UrbazaevHHSOTDHUAS:2022:AsTeEl |
| Título | Assessment of terrain elevation estimates from ICESat-2 and GEDI spaceborne LiDAR missions across different land cover and forest types  |
| Ano | 2022 |
| Data de Acesso | 18 maio 2024 |
| Tipo de Trabalho | journal article |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 1 |
| Tamanho | 15285 KiB |
| 2. Contextualização | |
| Autor | 1 Urbazaev, Mikhail 2 Hess, Laura L. 3 Hancock, Steven 4 Sato, Luciane Yumie 5 Ometto, Jean Pierre Henry Balbaud 6 Thiel, Christian 7 Dubois, Clémence 8 Heckel, Kai 9 Urban, Marcel 10 Adam, Markus 11 Schmullius, Christiane |
| Grupo | 1 2 3 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 DIPE3-COGPI-INPE-MCTI-GOV-BR |
| Afiliação | 1 Friedrich Schiller University Jena 2 University of California 3 University of Edinburgh 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 German Aerospace Center (DLR) 7 Friedrich Schiller University Jena 8 Friedrich Schiller University Jena 9 Friedrich Schiller University Jena 10 Friedrich Schiller University Jena 11 Friedrich Schiller University Jena |
| Endereço de e-Mail do Autor | 1 2 3 4 luciane.sato@inpe.br 5 jean.ometto@inpe.br |
| Revista | Science of Remote Sensing |
| Volume | 6 |
| Páginas | 100067 |
| Histórico (UTC) | 2022-12-13 23:09:41 :: lattes -> administrator :: 2022 2023-07-08 07:14:39 :: administrator -> simone :: 2022 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Tipo de Versão | publisher |
| Palavras-Chave | terrain elevation accuracy assessment GEDI ICESat-2 |
| Resumo | Accurate measurements of terrain elevation are crucial for many ecological applications. In this study, we sought to assess new global three-dimensional Earth observation data acquired by the spaceborne Light Detection and Ranging (LiDAR) missions Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) and Global Ecosystem Dynamics Investigation (GEDI). For this, we examined the ATLAS/ICESat-2 L3A Land and Vegetation Height, version 5 (20 × 14 m and 100 × 14 m segments) and the GEDI Level 2A Footprint Elevation and Height Metrics, version 2 (25 m circle). We conducted our analysis across four land cover classes (bare soil, herbaceous, forest, savanna), and six forest types (temperate broad-leaved, temperate needle-leaved, temperate mixed, tropical upland, tropical floodplain, and tropical secondary forest). For assessment of terrain elevation estimates from spaceborne LiDAR data we used high resolution airborne data. Our results indicate that both LiDAR missions provide accurate terrain elevation estimates across different land cover classes and forest types with mean error less than 1 m, except in tropical forests. However, using a GEDI algorithm with a lower signal end threshold (e.g., algorithm 5) can improve the accuracy of terrain elevation estimates for tropical upland forests. Specific environmental parameters (terrain slope, canopy height and canopy cover) and sensor parameters (GEDI degrade flags, terrain estimation algorithm; ICESat-2 number of terrain photons, terrain uncertainty) can be applied to improve the accuracy of ICESat-2 and GEDI-based terrain estimates. Although the goodness-of-fit statistics from the two spaceborne LiDARs are not directly comparable since they possess different footprint sizes (100 × 14 m segment or 20 × 14 m segment vs. 25 m circle), we observed similar trends on the impact of terrain slope, canopy cover and canopy height for both sensors. Terrain slope strongly impacts the accuracy of both ICESat-2 and GEDI terrain elevation estimates for both forested and non-forested areas. In the case of GEDI the impact of slope is, however, partly caused by horizontal geolocation error. Moreover, dense canopies (i.e., canopy cover higher than 90%) affect the accuracy of spaceborne LiDAR terrain estimates, while canopy height does not, when considering samples over flat terrains. Our analysis of the accuracy and precision of current versions of spaceborne LiDAR products for different vegetation types and environmental conditions provides insights on parameter selection and estimated uncertainty to inform users of these key global datasets. |
| Área | CST |
| Arranjo 1 | urlib.net > CGCT > Assessment of terrain... |
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Assessment of terrain... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| Idioma | en |
| Arquivo Alvo | 1-s2.0-S2666017222000293-main.pdf |
| Grupo de Usuários | lattes |
| Grupo de Leitores | administrator lattes |
| Visibilidade | shown |
| Permissão de Leitura | deny from all and allow from 150.163 |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46L2FGP |
| Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.04.04.47 1 |
| Divulgação | PORTALCAPES |
| Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notas | |
| Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Controle da descrição | |
| e-Mail (login) | simone |
| atualizar | |