| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | mtc-m12.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 6qtX3pFwXQZ3r59YD6/JAMSN |
| Repository | sid.inpe.br/iris@1912/2005/12.28.15.35 (restricted access) |
| Last Update | 2008:10.23.18.03.51 (UTC) marciana |
| Metadata Repository | sid.inpe.br/iris@1912/2005/12.28.15.35.02 |
| Metadata Last Update | 2018:06.05.00.40.35 (UTC) administrator |
| Secondary Key | INPE-13592-PRE/8801 |
| DOI | 10.1080/01431160500296735 |
| ISSN | 0143-1161 |
| Citation Key | XavierRudShiBerMor:2006:MuAnMO |
| Title | Multitemporal Analysis of MODIS Data to Classify Sugarcane Crop  |
| Project | Sensoriamento Remoto Aplicado à Agricultura |
| Year | 2006 |
| Month | Feb. |
| Access Date | 2024, Apr. 24 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 504 KiB |
| 2. Context | |
| Author | 1 Xavier, Alexandre Candido 2 Rudorff, Bernardo Friedrich Theodor 3 Shimabukuro, Yosio Edemir 4 Berka, L. M. S. 5 Moreira, Mauricio Alves |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGKP 3 8JMKD3MGP5W/3C9JJCQ 4 5 8JMKD3MGP5W/3C9JHT4 |
| Group | 1 2 DSR-INPE-MCT-BR 3 DSR-INPE-MCT-BR 4 DSR-INPE-MCT-BR 5 DSR-INPE-MCT-BR |
| Affiliation | 1 Federal University of Espírito Santo, Department of Rural Engineering,I 2 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR) 3 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR) 4 5 Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto (INPE, DSR) |
| Journal | International Journal of Remote Sensing |
| Volume | 27 |
| Number | 4 |
| Pages | 755-768 |
| History (UTC) | 2006-07-31 15:13:37 :: marciana -> banon :: 2006-08-01 13:49:02 :: banon -> administrator :: 2008-06-09 19:20:49 :: administrator -> marciana :: 2008-10-23 18:03:51 :: marciana -> banon :: 2008-11-05 15:16:11 :: banon -> marciana :: 2011-11-01 18:47:54 :: marciana -> administrator :: 2011-11-01 18:57:03 :: administrator -> marciana :: 2006 2011-11-01 18:57:18 :: marciana -> administrator :: 2006 2016-06-04 23:29:54 :: administrator -> marciana :: 2006 2016-08-17 16:57:53 :: marciana -> administrator :: 2006 2018-06-05 00:40:35 :: administrator -> marciana :: 2006 |
| 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 | AGRICULTURA São Paulo (Estado) Enhanced Vegetation Index (EVI) Moderate Resolution Imaging Spectroradiometer (MODIS) sugarcane crop |
| Abstract | This paper presents a feasibility study using multi-temporal Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) data to classify sugarcane crop. This study was carried out in Sao Paulo State which is the major sugarcane producer in Brazil, occupying more than 3.1 million hectares. Cloud-free MODIS images (16 days mosaics) were acquired over a period of almost 15 months. Samples of sugarcane and non-sugarcane were randomly selected and cluster analysis was performed to establish similar EVI temporal behaviour clusters. It was observed that EVI was sensitive to variations in land-use cover mainly due to phenology and land management practices. Therefore, selection of sugarcane samples with similar EVI temporal behaviour for supervised classification was difficult due to both large planting and large harvesting periods. Consequently, cluster analysis was chosen to carry out an unsupervised classification. The best results were obtained in regions occupied by: natural and planted forest, soybean, peanuts, water bodies and urban areas which contrasted with the temporal-spectral behaviour of sugarcane. The lowest performance was observed mainly in regions dominated by pasture, which has similar temporal-spectral behaviour to sugarcane. This study provided useful information to define a MODIS image classification procedure for sugarcane crop for the whole State area based on the large amount of cloud-free MODIS images when compared with other currently available optical sensors. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Multitemporal Analysis of... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | multitemporal.pdf |
| User Group | administrator banon marciana |
| Reader Group | administrator marciana |
| Visibility | shown |
| Copy Holder | SID/SCD |
| Archiving Policy | denypublisher denyfinaldraft12 |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ER446E |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.41 1 sid.inpe.br/mtc-m21/2012/07.13.14.56.26 1 |
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
| Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |