| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/4B2ABMP | |||
| Repository | sid.inpe.br/mtc-m21d/2024/03.25.15.35 | |||
| Last Update | 2024:03.25.15.35.29 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2024/03.25.15.35.29 | |||
| Metadata Last Update | 2024:04.12.10.00.10 (UTC) administrator | |||
| DOI | 10.3390/rs16050863 | |||
| ISSN | 2072-4292 | |||
| Citation Key | SilvaChLuSaAlAd:2024:SyRe | |||
| Title | Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review  | |||
| Year | 2024 | |||
| Month | Mar. | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 5277 KiB | |||
| 2. Context | ||||
| Author | 1 Silva, Nildson Rodrigues de França e 2 Chaves, Michel Eustáquio Dantas 3 Luciano, Ana Cláudia dos Santos 4 Sanches, Ieda Del'Arco 5 Almeida, Cláudia Maria de 6 Adami, Marcos | |||
| Resume Identifier | 1 2 3 4 5 8JMKD3MGP5W/3C9JGS3 | |||
| ORCID | 1 2 0000-0002-1498-6830 3 0000-0003-4862-9863 4 0000-0003-1296-0933 5 0000-0002-6523-3169 6 0000-0003-4247-4477 | |||
| Group | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 3 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 DIOTG-CGCT-INPE-MCTI-GOV-BR 6 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Estadual Paulista (UNESP) 3 Universidade de São Paulo (USP) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 nildson.silva@inpe.br 2 michel.dantas@unesp.br 3 analuciano@usp.br 4 ieda.sanches@inpe.br 5 claudia.almeida@inpe.br 6 marcos.adami@inpe.br | |||
| Journal | Remote Sensing | |||
| Volume | 16 | |||
| Number | 5 | |||
| Pages | e863 | |||
| Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I | |||
| History (UTC) | 2024-03-25 15:35:29 :: simone -> administrator :: 2024-03-25 15:35:32 :: administrator -> simone :: 2024 2024-03-25 15:36:12 :: simone -> administrator :: 2024 2024-04-12 10:00:10 :: administrator -> simone :: 2024 | |||
| 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 | crop modeling crop monitoring crop yield systematic literature review text mining | |||
| Abstract | The sugarcane crop has great socioeconomic relevance because of its use in the production of sugar, bioelectricity, and ethanol. Mainly cultivated in tropical and subtropical countries, such as Brazil, India, and China, this crop presented a global harvested area of 17.4 million hectares (Mha) in 2021. Thus, decision making in this activity needs reliable information. Obtaining accurate sugarcane yield estimates is challenging, and in this sense, it is important to reduce uncertainties. Currently, it can be estimated by empirical or mechanistic approaches. However, the models peculiarities vary according to the availability of data and the spatial scale. Here, we present a systematic review to discuss state-of-the-art sugarcane yield estimation approaches using remote sensing and crop simulation models. We consulted 1398 papers, and we focused on 72 of them, published between January 2017 and June 2023 in the main scientific databases (e.g., AGORA-FAO, Google Scholar, Nature, MDPI, among others), using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. We observed how the models vary in space and time, presenting the potential, challenges, limitations, and outlooks for enhancing decision making in the sugarcane crop supply chain. We concluded that remote sensing data assimilation both in mechanistic and empirical models is promising and will be enhanced in the coming years, due to the increasing availability of free Earth observation data. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Sugarcane Yield Estimation... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Sugarcane Yield Estimation... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGP3W34T/4B2ABMP | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34T/4B2ABMP | |||
| Language | en | |||
| Target File | remotesensing-16-00863-v3.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | allowpublisher allowfinaldraft | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2021/06.04.03.40.25 | |||
| Next Higher Units | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.23 2 | |||
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||