| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pantanal. |
|
Data corrente: |
01/03/1996 |
|
Data da última atualização: |
01/03/1996 |
|
Autoria: |
MILLER, L. D.; PEARSON, R. L. |
|
Título: |
Areal mapping program of the IPB Grassland Biome: Remote sensing of the productivity of the shortgrass prairie as input into biosystem models. |
|
Ano de publicação: |
1971 |
|
Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM REMOTE SENSING, 7., 1971, [S.l.]. Proceedings. [S.l.: s.n.] 1971. p.165-205. |
|
Idioma: |
Inglês |
|
Conteúdo: |
The IBP Grassland Biome Program is a major ecosystem analysis involving 88 principal investigatigators systematically describing the functioning of natural grasslands. A compre- hensive remote sensing research program has been undertaken in the context of this ove- rall experiment to determine the utility of various sensor devices in supplying input data into this biosystem model. The initial objective of this effort has been to design and test a multi- faceted approach to measure and map percent cover of areas ranging from small grass- land plots to much larger landscapes. These maps provide the basic data from which to interpret standing crop or above ground biomass and in turn, the primary productivity of a grassland. The amount of vegetation on a prairie can be measured by its characteristics spectroradiance or spectroreflectance. A variety of approaches to exploiting this relation- ship are covered in the report, including the use of airborne and satellite multispectral sca- nner imagery, aerial and ground photography, and ground spectrometry. Each of these approaches is explained in detail and preliminary results are presented. A description of the design, construction, and testing of the trailer-mounted, field spectrophotometer is also included. A landscape model is described which has been designed to interface the data taken by mapping remote sensors to the biosystem or hydrologic models which statistica- lly describe the functioning of a natural grassland. |
|
Palavras-Chave: |
Aereal mapping program; Analise do ecossistema; Biosystem models; Ecosystem analysis; Grama pequena; Mapa aereo; Native pasture; Shortgrass prairie. |
|
Thesagro: |
Pastagem Nativa; Produção; Sensoriamento Remoto. |
|
Thesaurus Nal: |
remote sensing. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02387naa a2200277 a 4500
001 1787649
005 1996-03-01
008 1971 bl --- 0-- u #d
100 1 $aMILLER, L. D.
245 $aAreal mapping program of the IPB Grassland Biome$bRemote sensing of the productivity of the shortgrass prairie as input into biosystem models.
260 $c1971
520 $aThe IBP Grassland Biome Program is a major ecosystem analysis involving 88 principal investigatigators systematically describing the functioning of natural grasslands. A compre- hensive remote sensing research program has been undertaken in the context of this ove- rall experiment to determine the utility of various sensor devices in supplying input data into this biosystem model. The initial objective of this effort has been to design and test a multi- faceted approach to measure and map percent cover of areas ranging from small grass- land plots to much larger landscapes. These maps provide the basic data from which to interpret standing crop or above ground biomass and in turn, the primary productivity of a grassland. The amount of vegetation on a prairie can be measured by its characteristics spectroradiance or spectroreflectance. A variety of approaches to exploiting this relation- ship are covered in the report, including the use of airborne and satellite multispectral sca- nner imagery, aerial and ground photography, and ground spectrometry. Each of these approaches is explained in detail and preliminary results are presented. A description of the design, construction, and testing of the trailer-mounted, field spectrophotometer is also included. A landscape model is described which has been designed to interface the data taken by mapping remote sensors to the biosystem or hydrologic models which statistica- lly describe the functioning of a natural grassland.
650 $aremote sensing
650 $aPastagem Nativa
650 $aProdução
650 $aSensoriamento Remoto
653 $aAereal mapping program
653 $aAnalise do ecossistema
653 $aBiosystem models
653 $aEcosystem analysis
653 $aGrama pequena
653 $aMapa aereo
653 $aNative pasture
653 $aShortgrass prairie
700 1 $aPEARSON, R. L.
773 $tIn: INTERNATIONAL SYMPOSIUM REMOTE SENSING, 7., 1971, [S.l.]. Proceedings. [S.l.: s.n.] 1971. p.165-205.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pantanal (CPAP) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Gado de Corte. |
|
Data corrente: |
26/01/2017 |
|
Data da última atualização: |
06/03/2017 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; OLTJEN, J. W.; COSTA JÚNIOR, C. |
|
Afiliação: |
TIAGO ZANETT ALBERTINI, @Tech; ADRIELE GIARETTA BIASE, @Tech; MARCIO BARBOSA, @Tech; PEDRO AFFONSO PIZELLI FERNANDES, @Tech; MATHEUS ANGELI CASTANHEIRA, @Tech; DANTE PAZZANESE LANNA, Esalq/USP; NELSON HENRIQUE CORRÊA NEPOMUCENO, Integra Software; LUIS GUSTAVO BARIONI, CNPTIA; SERGIO RAPOSO DE MEDEIROS, CNPGC; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; JAMES W. OLTJEN, University of California; CINIRO COSTA JÚNIOR, Imaflora. |
|
Título: |
BeefTader (part I): optimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. 502 p. (Embrapa Gado de Corte. Documentos, 216). Coordenador Roberto Giolo de Almeida. II SIGEE |
|
Páginas: |
p. 182-186. |
|
Idioma: |
Inglês |
|
Conteúdo: |
The current study is the first from three sequential abstracts based on BeefTrader DSS to maximize profitability of farmers and the meat industry. |
|
Palavras-Chave: |
Modelo estatístico; Sistema de suporte à decisão. |
|
Thesagro: |
Gado de corte; Modelo Matemático. |
|
Thesaurus NAL: |
Beef cattle; Decision support systems; Feedlots; Mathematical models; Statistical models. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/150914/1/p.186DOC-216.pdf
|
|
Marc: |
LEADER 01493nam a2200361 a 4500
001 2061927
005 2017-03-06
008 2016 bl uuuu u01u1 u #d
100 1 $aALBERTINI, T. Z.
245 $aBeefTader (part I)$boptimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. 502 p. (Embrapa Gado de Corte. Documentos, 216). Coordenador Roberto Giolo de Almeida. II SIGEE$c2016
300 $ap. 182-186.
520 $aThe current study is the first from three sequential abstracts based on BeefTrader DSS to maximize profitability of farmers and the meat industry.
650 $aBeef cattle
650 $aDecision support systems
650 $aFeedlots
650 $aMathematical models
650 $aStatistical models
650 $aGado de corte
650 $aModelo Matemático
653 $aModelo estatístico
653 $aSistema de suporte à decisão
700 1 $aBIASE, A. G.
700 1 $aBARBOSA, M.
700 1 $aFERNANDES, P. A. P.
700 1 $aCASTANHEIRA, M. A.
700 1 $aLANNA, D. P.
700 1 $aNEPOMUCENO, N. H. C.
700 1 $aBARIONI, L. G.
700 1 $aMEDEIROS, S. R. de
700 1 $aTORRES JUNIOR, R. A. de A.
700 1 $aOLTJEN, J. W.
700 1 $aCOSTA JÚNIOR, C.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Corte (CNPGC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
