Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/44SSR3L
Repositorysid.inpe.br/mtc-m21d/2021/06.18.12.03   (restricted access)
Last Update2021:06.18.12.03.48 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/06.18.12.03.48
Metadata Last Update2022:04.03.22.27.22 (UTC) administrator
DOI10.1016/j.rsase.2020.100325
ISSN2352-9385
Citation KeyBreunigGaSiSaDeCh:2021:AsEfSp
TitleAssessing the effect of spatial resolution on the delineation of management zones for smallholder farming in southern Brazil
Year2021
MonthAug.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size4214 KiB
2. Context
Author1 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
Resume Identifier1
2 8JMKD3MGP5W/3C9JHLF
Group1
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 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
Author e-Mail Address1 breunig@ufsm.br
2 lenio.galvao@hotmail.com
3 ricds@hotmail.com
JournalRemote Sensing Applications: Society and Environment
Volume19
Pagese100325
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCover crops
UAV
PlanetScope
OLI/Landsat-8
Agriculture
AbstractRemote 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessing the effect...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 18/06/2021 09:03 1.0 KiB 
4. Conditions of access and use
Languageen
Target Filebreunig_assessing.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 6
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DisseminationPORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsalternatejournal 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. Description control
e-Mail (login)simone
update 


Close