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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/46PF3U5
Repositóriosid.inpe.br/mtc-m21d/2022/04.25.12.23   (acesso restrito)
Última Atualização2022:04.25.12.23.03 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/04.25.12.23.03
Última Atualização dos Metadados2023:01.03.16.46.05 (UTC) administrator
DOI10.1016/j.jhydrol.2022.127785
ISSN0022-1694
Chave de CitaçãoXuYHGMHHL:2022:EvNeTe
TítuloEvaluating a new temperature-vegetation-shortwave infrared reflectance dryness index (TVSDI) in the continental United States
Ano2022
MêsJuly
Data de Acesso18 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho18983 KiB
2. Contextualização
Autor1 Xu, Mangyuan
2 Yao, Ning
3 Hu, Annan
4 Gonçalves, Luís Gustavo Gonçalves de
5 Mantovani, Felipe Abrahão
6 Horgon, Robert
7 Heng, Lee
8 Liu, Gang
Grupo1
2
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação1 China Agricultural University
2 Northwest Agriculture and Forestry University
3 University College London
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal de Lavras (UFLA)
6 Iowa State University
7 International Atomic Energy Agency
8 China Agricultural University
Endereço de e-Mail do Autor1
2
3
4 gustavo.degoncalves@gmail.com
5
6
7
8 liug@cau.edu.cn
RevistaJournal of Hydrology
Volume610
Páginase127782
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_BIODIVERSIDADE B1_MEDICINA_I B1_CIÊNCIAS_BIOLÓGICAS_I B2_ASTRONOMIA_/_FÍSICA C_ENGENHARIAS_II
Histórico (UTC)2022-04-25 12:23:03 :: simone -> administrator ::
2022-04-25 12:23:04 :: administrator -> simone :: 2022
2022-04-25 12:24:19 :: simone -> administrator :: 2022
2023-01-03 16:46:05 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveContinental United States
Dryness
Land surface temperature
Remote sensing
Shortwave infrared reflectance
Soil moisture
Vegetation index
ResumoAccurate dryness monitoring is important for formulating reasonable response measures to reduce social and economic losses caused by drought. The land surface temperature (LST), shortwave infrared (SWIR) reflectance, and vegetation index (VI) are popular remote sensing (RS) indices that can be individually used to characterize surface dryness. Given the interactions of these factors, limitations are inevitably associated with using a single factor. Integrated dryness indices that combine LST or SWIR reflectance with the VI have thus been successively proposed and applied for dryness monitoring and soil moisture (SM) retrieval work. However, the advantages of these three indicators have not yet been combined to construct a more comprehensive dryness index. In this study, we integrated the LST, enhanced vegetation index (EVI), and SWIR reflectance and developed an integrated satellite-based dryness index with simple calculations, called the temperature vegetation shortwave infrared reflectance dryness index (TVSDI). The proposed TVSDI was thoroughly assessed in the continental United States (CONUS) using the following data: the soil moisture active passive (SMAP) SM; six commonly used dryness indices (i.e., temperature vegetation soil moisture dryness index (TVMDI), temperature vegetation dryness index (TVDI), modified perpendicular dryness index (MPDI), perpendicular dryness index (PDI), standardized precipitation evapotranspiration index (SPEI), and standardized precipitation index (SPI)); in situ SM data collected from 24 Cosmic-ray neutron probe (CRNP) sites covering different climates, soil types, and land cover types; and the United States Drought Monitor (USDM) maps. The results demonstrated that the TVSDI was significantly correlated with SMAP SM (R = − 0.75, p [removed] 60%. The evaluation based on in situ SM from 24 CRNP sites indicated that the TVSDI exhibited more stability and accuracy than other satellite-based agricultural dryness indices (TVMDI, MPDI, PDI, and TVDI). Moreover, the spatial patterns of TVSDI maps were not only well-matched with SMAP SM maps but also provided more detailed spatial information. TVSDI maps could capture more dryness and drought variations in natural ecosystems and areas with less intensive human activities than USDM maps. Furthermore, the application of the TVSDI for dryness monitoring in the CONUS revealed that the dryness distributions differed greatly across different geographic regions at monthly and annual scales. In conclusion, the TVSDI was found to be a reliable and accurate satellite-based dryness index.
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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