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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/44SSR3L
Repositóriosid.inpe.br/mtc-m21d/2021/06.18.12.03   (acesso restrito)
Última Atualização2021:06.18.12.03.48 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/06.18.12.03.48
Última Atualização dos Metadados2022:04.03.22.27.22 (UTC) administrator
DOI10.1016/j.rsase.2020.100325
ISSN2352-9385
Chave de CitaçãoBreunigGaSiSaDeCh:2021:AsEfSp
TítuloAssessing the effect of spatial resolution on the delineation of management zones for smallholder farming in southern Brazil
Ano2021
MêsAug.
Data de Acesso04 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4214 KiB
2. Contextualização
Autor1 Breunig, Fábio Marcelo
2 Galvão, Lênio Soares
3 Silva, Ricardo Dal'Agnol da
4 Santi, Antônio Luiz
5 Della Flora, Diandra Pinto
6 Chen, Shuisen
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHLF
Grupo1
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal de Santa Maria (UFSM)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de Santa Maria (UFSM)
5 Universidade Federal da Grande Dourados (UFGD)
6 Guangdong Engineering Technology Center for Remote Sensing Big Data Application
Endereço de e-Mail do Autor1 breunig@ufsm.br
2 lenio.galvao@hotmail.com
3 ricds@hotmail.com
RevistaRemote Sensing Applications: Society and Environment
Volume19
Páginase100325
Histórico (UTC)2021-06-18 12:05:16 :: simone -> administrator :: 2021
2021-06-22 19:14:16 :: administrator -> simone :: 2021
2021-06-22 20:23:45 :: simone -> administrator :: 2021
2022-04-03 22:27:22 :: administrator -> simone :: 2021
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-ChaveCover crops
UAV
PlanetScope
OLI/Landsat-8
Agriculture
ResumoRemote sensing estimates of cover-crop aboveground biomass (AGB) have been used to delineate management zones for smallholder farming in southern Brazil. In this study, we investigated the spatial resolution influence on the AGB estimates of rye, calculated from regression relationships with the Normalized Difference Vegetation Index (NDVI), and on the subsequent delineation of management zones using the Management Zone Analyst (MZA) software. Data acquired by an Unmanned Aerial Vehicle (UAV) Parrot Sequoia camera (0.20 m spatial resolution) in Brazil were compared with observations from the PlanetScope (PS) satellite constellation (3 m) and the Operational Land Imager (OLI)/Landsat-8 (30 m). A three-endmember mixture model (green vegetation, soil, and shadow) was applied to surface reflectance data of these instruments for evaluating the cover-crop development at two dates in August 2017. Because of the differences in the technical specifications of the sensors, we resampled the UAV dataset into four levels of spatial resolution (1, 3, 10, and 30 m). Using the UAV map (0.20 m) as a reference, we obtained confusion matrices for the original and resampled data. The results showed that the increasing amounts of rye AGB from the beginning to the end of August promoted significant changes in surface reflectance and in soil-green vegetation fractions calculated at variable spatial resolution. The performance of the regression models to estimate cover-crop AGB was approximately similar in the transition from the sub-metric (0.20 m) to the metric (3 m) spatial resolutions, or from the UAV camera to the PS data. For all datasets, the MZA detected two management zones with zone 2 having higher cover-crop AGB than zone 1. When compared to the UAV management zone map (reference), the PS map had a moderate-to-substantial agreement, while the OLI/Landsat-8 map had a fair-to-moderate concordance. Substantial agreements with the reference map were observed at simulated 1 m and 3 m data, as indicated by Kappa coefficients of 0.73 and 0.63 and overall accuracies of 86.40% and 81.40%, respectively. We conclude that the 3 m spatial resolution data of the PS comprise an alternative to delineate management zones for smallholder farming in southern Brazil when compared to the very-high spatial resolution observations of the UAV cameras.
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvobreunig_assessing.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/bibdigital/2022/04.03.22.23 5
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DivulgaçãoPORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number 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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