1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/44SSR3L |
Repository | sid.inpe.br/mtc-m21d/2021/06.18.12.03 (restricted access) |
Last Update | 2021:06.18.12.03.48 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2021/06.18.12.03.48 |
Metadata Last Update | 2022:04.03.22.27.22 (UTC) administrator |
DOI | 10.1016/j.rsase.2020.100325 |
ISSN | 2352-9385 |
Citation Key | BreunigGaSiSaDeCh:2021:AsEfSp |
Title | Assessing the effect of spatial resolution on the delineation of management zones for smallholder farming in southern Brazil |
Year | 2021 |
Month | Aug. |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 4214 KiB |
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2. Context | |
Author | 1 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 Identifier | 1 2 8JMKD3MGP5W/3C9JHLF |
Group | 1 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Affiliation | 1 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 Address | 1 breunig@ufsm.br 2 lenio.galvao@hotmail.com 3 ricds@hotmail.com |
Journal | Remote Sensing Applications: Society and Environment |
Volume | 19 |
Pages | e100325 |
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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Cover crops UAV PlanetScope OLI/Landsat-8 Agriculture |
Abstract | Remote 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. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessing the effect... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | breunig_assessing.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUATE |
Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.23 6 sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1 |
Dissemination | PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | simone |
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