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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/48GQ3ML
Repositóriosid.inpe.br/mtc-m21d/2023/02.10.15.48   (acesso restrito)
Última Atualização2023:02.10.15.48.16 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/02.10.15.48.16
Última Atualização dos Metadados2024:01.02.17.16.39 (UTC) administrator
DOI10.5194/essd-15-345-2023
ISSN1866-3508
1866-3516
Chave de CitaçãoDalagnolGWMGWLYSA:2023:AnNaMO
TítuloAnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America
Ano2023
MêsJan.
Data de Acesso03 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6685 KiB
2. Contextualização
Autor 1 Dalagnol, Ricardo
 2 Galvão, Lênio Soares
 3 Wagner, Fabien Hubert
 4 Moura, Yhasmin Mendes de
 5 Gonçalves, Nathan
 6 Wang, Yujie
 7 Lyapustin, Alexei
 8 Yang, Yan
 9 Saatchi, Sassan
10 Aragão, Luiz Eduardo Oliveira e Cruz de
Identificador de Curriculo 1
 2 8JMKD3MGP5W/3C9JHLF
Grupo 1
 2 DIOTG-CGCT-INPE-MCTI-GOV-BR
 3
 4
 5
 6
 7
 8
 9
10 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of California
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 University of California
 4 Remote Sensing Applied to Tropical Environments Group
 5 Michigan State University
 6 NASA Goddard Space Flight Center
 7 NASA Goddard Space Flight Center
 8 University of California
 9 University of California
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 ricds@hotmail.com
 2 lenio.galvao@hotmail.com
 3
 4
 5
 6
 7
 8
 9
10 luiz.aragao@inpe.br
RevistaEarth System Science Data
Volume15
Número1
Páginas345-358
Histórico (UTC)2023-02-10 15:49:10 :: simone -> administrator :: 2023
2024-01-02 17:16:39 :: administrator -> simone :: 2023
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoThe AnisoVeg product consists of monthly 1 km composites of anisotropy (ANI) and nadir-normalized (NAD) surface reflectance layers obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor over the entire South American continent. The satellite data were preprocessed using the multi-angle implementation atmospheric correction (MAIAC). The AnisoVeg product spans 22 years of observations (2000 to 2021) and includes the reflectance of MODIS bands 1 to 8 and two vegetation indices (VIs), namely the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). While the NAD layers reduce the data variability added by bidirectional effects on the reflectance and VI time series, the unique ANI layers allow the use of this multi-angular data variability as a source of information for vegetation studies. The AnisoVeg product has been generated using daily MODIS MAIAC data from both Terra and Aqua satellites, normalized for a fixed solar zenith angle (SZA 45), modeled for three sensor view directions (nadir, forward, and backward scattering), and aggregated to monthly composites. The anisotropy was calculated by the subtraction of modeled backward and forward scattering surface reflectance. The release of the ANI data for open usage is novel, and the NAD data are at an advanced processing level. We demonstrate the use of such data for vegetation studies using three types of forests in the eastern Amazon with distinct gradients of vegetation structure and aboveground biomass (AGB). The gradient of AGB was positively associated with ANI, while NAD values were related to different canopy structural characteristics. This was further illustrated by the strong and significant relationship between EVIANI and forest height observations from the Global Ecosystem Dynamics Investigation (GEDI) lidar sensor considering a simple linear model (R20.55). Overall, the time series of the AnisoVeg product (NAD and ANI) provide distinct information for various applications aiming at understanding vegetation structure, dynamics, and disturbance patterns. All data, processing codes, and results are made publicly available to enable research and the extension of AnisoVeg products for other regions outside of South America. The code can be found at 10.5281/zenodo.6561351 (Dalagnol and Wagner, 2022), EVIANI and EVINAD can be found as assets in the Google Earth Engine (GEE; described in the data availability section), and the full dataset is available from the open repository 10.5281/zenodo.3878879 (Dalagnol et al., 2022).
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoessd-15-345-2023.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DivulgaçãoPORTALCAPES
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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