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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
26/01/2016 |
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Data da última atualização: |
17/01/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LUIZ, A. J. B.; SANCHES, I. D. A.; TRABAQUINI, K.; EBERHARDT, I. D. R.; FORMAGGIO, A. R. |
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Afiliação: |
ALFREDO JOSE BARRETO LUIZ, CNPMA; IEDA DEL'ARCO SANCHES, INPE; KLEBER TRABAQUINI, INPE; ISAQUE DANIEL ROCHA EBERHARDT, INPE; ANTONIO ROBERTO FORMAGGIO, INPE. |
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Título: |
Dinâmica agrícola em área de sobreposição de órbitas adjacentes dos satélites Landsat. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1308-1315. |
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Idioma: |
Português |
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Conteúdo: |
Abstract: In this study, the tracking of different types of agricultural land use was assessed over time using the overlap regions of adjacent Landsat Operational Land Imager (OLI) scenes. WRS-II scenes 219 e 220/75 were acquired between July and October 2014. In the same period, 55 georeferenced sites were visited monthly, to acquire information about their use and to photograph them. The study covered an area of 100 km long by 4 km wide along a highway in the mesoregion of Campinas, state of São Paulo, Brazil. The main agricultural crops in the state were present in this area, such as sugarcane, maize, soybean, eucalyptus, pastures, citrus; and over a dozen land uses were found. Several selected areas are irrigated by center pivot systems. In this short period of time, the importance of monitoring simultaneously three axes, namely: the time, space and land use, proved essential, since there is a high potential for classification confusion. Interesting things were observed, such as the phenomenon of green-up of rubber tree fields; and the similar appearance of potatoes, beans and wheat plots in images, even though they do not look like in the field. Preliminary analysis, both visual and quantitative, confirm the assumption that it is not possible to correctly classify agricultural uses in OLI images based only on a single date and without substantial knowledge of the systems in use, and the farming calendar of the study region. |
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Palavras-Chave: |
Change detection; Cropland identification; Detecção de mudanças; Identificação de culturas; Monitoramento; Resolução temporal; Temporal resolution. |
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Thesagro: |
Sensoriamento remoto; Uso da terra. |
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Thesaurus Nal: |
Cropland; Land use change; monitoring; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/137818/1/2015AA004.pdf
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Marc: |
LEADER 02486nam a2200313 a 4500
001 2035214
005 2023-01-17
008 2015 bl uuuu u00u1 u #d
100 1 $aLUIZ, A. J. B.
245 $aDinâmica agrícola em área de sobreposição de órbitas adjacentes dos satélites Landsat.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1308-1315.$c2015
520 $aAbstract: In this study, the tracking of different types of agricultural land use was assessed over time using the overlap regions of adjacent Landsat Operational Land Imager (OLI) scenes. WRS-II scenes 219 e 220/75 were acquired between July and October 2014. In the same period, 55 georeferenced sites were visited monthly, to acquire information about their use and to photograph them. The study covered an area of 100 km long by 4 km wide along a highway in the mesoregion of Campinas, state of São Paulo, Brazil. The main agricultural crops in the state were present in this area, such as sugarcane, maize, soybean, eucalyptus, pastures, citrus; and over a dozen land uses were found. Several selected areas are irrigated by center pivot systems. In this short period of time, the importance of monitoring simultaneously three axes, namely: the time, space and land use, proved essential, since there is a high potential for classification confusion. Interesting things were observed, such as the phenomenon of green-up of rubber tree fields; and the similar appearance of potatoes, beans and wheat plots in images, even though they do not look like in the field. Preliminary analysis, both visual and quantitative, confirm the assumption that it is not possible to correctly classify agricultural uses in OLI images based only on a single date and without substantial knowledge of the systems in use, and the farming calendar of the study region.
650 $aCropland
650 $aLand use change
650 $amonitoring
650 $aRemote sensing
650 $aSensoriamento remoto
650 $aUso da terra
653 $aChange detection
653 $aCropland identification
653 $aDetecção de mudanças
653 $aIdentificação de culturas
653 $aMonitoramento
653 $aResolução temporal
653 $aTemporal resolution
700 1 $aSANCHES, I. D. A.
700 1 $aTRABAQUINI, K.
700 1 $aEBERHARDT, I. D. R.
700 1 $aFORMAGGIO, A. R.
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Embrapa Meio Ambiente (CNPMA) |
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