| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | marte.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Repository | sid.inpe.br/iris@1912/2005/07.20.00.21.57 |
| Last Update | 2008:04.24.18.50.22 (UTC) administrator |
| Metadata Repository | sid.inpe.br/iris@1912/2005/07.20.00.22 |
| Metadata Last Update | 2018:06.06.02.48.52 (UTC) administrator |
| Secondary Key | INPE-7591-PRE/3443 |
| ISBN | 978-85-17-00053-9 |
| Label | 6572 |
| Citation Key | LawrenceShimGao:1993:AnHyAV |
| Title | Analysis of hyper-spectral AVIRIS image data over a mixed-conifer forest in Maine  |
| Format | Printed, On-line. |
| Year | 1993 |
| Secondary Date | 19930624 |
| Access Date | 2024, May 18 |
| Secondary Type | PRE CN |
| Number of Files | 1 |
| Size | 1930 KiB |
| 2. Context | |
| Author | 1 Lawrence, William T. 2 Shimabukuro, Yosio Edemir 3 Gao, Bo-Cai |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJCQ |
| Group | 1 DSR-INPE-MCT-BR 2 DSR-INPE-MCT-BR |
| Affiliation | 1 University of Maryland (UM). Department of Geography. 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 National Aeronautics and Space Administration (NASA). Goddard Space Flight Center (GSFC). Universities Space Research Association (USRA). |
| Editor | Cunha, Roberto Pereira da Dias, Luiz Alberto Vieira |
| e-Mail Address | erich@sid.inpe.br |
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 7 (SBSR). |
| Conference Location | Curitiba, BR |
| Date | 10-14 maio 1993 |
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Publisher City | São José dos Campos |
| Volume | 2 |
| Pages | 129-155 |
| Book Title | Anais |
| Organization | Instituto Nacional de Pesquisas Espaciais |
| History (UTC) | 2005-07-20 00:22:13 :: administrator -> jefferson :: 2008-04-24 18:50:22 :: jefferson -> administrator :: 2008-07-03 15:00:38 :: administrator -> jefferson :: 2008-07-08 13:51:46 :: jefferson -> erich@sid.inpe.br :: 2008-07-08 18:21:47 :: erich@sid.inpe.br -> administrator :: 2009-06-02 19:07:38 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:54:13 :: erich@sid.inpe.br -> administrator :: 2010-06-20 15:29:22 :: administrator -> marciana :: 1993 2011-02-16 12:51:10 :: marciana -> administrator :: 1993 2018-06-06 02:48:52 :: administrator -> :: 1993 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 0 |
| Keywords | VEGETACAO MAINE RESOLUCAO SPECTRAL FLORESTAS ECOSSISTEMAS COBERTURA VEGETAL AVIRIS CONIFERAS INDICE DE VEGETACAO SPECTRAL RESOLUTION FORESTS VEGETATION INDEX ECOSYSTEMS VEGETATION COVER |
| Abstract | This paper is an introduction to some of the potential uses of hyperspectral data for ecosystem analysis. The examples given are derived from a digital dataset acquired over a sub-boreal forest in central Maine in 1990 by the NASA-JPL AVIRIS (Airborne Visible/Infrared Imaging Spectrometer). The forest area, in International Paper's Northern Forest, is comprised of mixed communities of hardwood and conifer tree species. The AVIRIS instrument gathers data from 400 to 2500 nm in 224 channels at bandwidths of approximately 10 nm. As a preview to the uses of hyperspectral data we have extracted several products from this dataset. They range from the traditional false color composite made from simulated Thematic Mapper bands and the well known normalized difference vegetation index to much more exotic products such as fractions of vegetation, soil and shade based on linear spectral mixing models and estimates of the leaf water content at the landscape level derived using spectrum-matching techniques. Our research and that of many others indicates that the hyperspectral datasets carry much important information which is only beginning to be understood. This analysis gives an initial indication of the utility of hyperspectral data. Much work still remains to be done in algorithm development and in understanding the physics behind the complex information signal carried in the hyperspectral datasets. This work must be carried out to provide the fullest science support for high spectral resolution data to be acquired by many of the instruments to be launched as part of the Earth Observing System program in the mid-1990's. |
| Area | SRE |
| Type | Estudos e Monitoramento da Vegetação Natural |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Analysis of hyper-spectral... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/sid.inpe.br/iris@1912/2005/07.20.00.21.57 |
| zipped data URL | http://urlib.net/zip/sid.inpe.br/iris@1912/2005/07.20.00.21.57 |
| Language | pt |
| Target File | 129-155.pdf |
| User Group | administrator erich@sid.inpe.br jefferson |
| Visibility | shown |
| Copy Holder | SID/SCD |
| Read Permission | allow from all |
| 5. Allied materials | |
| Mirror Repository | dpi.inpe.br/marte@80/2007/10.17.19.59 |
| Next Higher Units | 8JMKD3MGPCW/3ER446E |
| Host Collection | sid.inpe.br/banon/2001/04.06.10.52 dpi.inpe.br/banon/2003/12.10.19.30 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress identifier issn lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor tertiarymark tertiarytype url versiontype |