| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Amazônia Oriental. |
|
Data corrente: |
17/01/2018 |
|
Data da última atualização: |
22/12/2021 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
ADAMI, M.; GOMES, A. R.; BELUZZO, A.; COELHO, A. dos S.; VALERIANO, D. de M.; RAMOS, F. de S.; NARVAES, I. da S.; BROWN, I. F.; OLIVEIRA, I. D. de; SANTOS, L. B.; MAURANO, L. E. P.; WATRIN, O. dos S.; GRAÇA, P. M. L. de A. |
|
Afiliação: |
MARCOS ADAMI, INPE; ALESSANDRA RODRIGUES GOMES, INPE; AMANDA BELUZZO, COLABORADORA CPATU; ANDREA DOS SANTOS COELHO, INPE; DALTON DE MORISSON VALERIANO, INPE; FELIPE DE SOUZA RAMOS, INPA; Igor da Silva Narvaes, INPE; Irvin Foster Brown, UFAC; Ivanilson Dias de Oliveira, UFAC; Lucyana Barros Santos, INPE; Luis Eduardo P. Maurano, INPE; ORLANDO DOS SANTOS WATRIN, CPATU; Paulo Maurício Lima de Alencastro Graça, INPA. |
|
Título: |
A confiabilidade do PRODES: estimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso. |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017. |
|
Páginas: |
p. 4189-4196. |
|
Idioma: |
Português |
|
Conteúdo: |
PRODES is completing almost thirty years of uninterrupted monitoring of clear-cut deforestation over the Brazilian Amazon. Until now, no estimate of its mapping accuracy has been made. In this sense, this article brings a first approximation of mapping accuracy estimation of PRODES deforested areas, taking as example the state of Mato Grosso for the year 2014. For this, a random sampling panel was constructed, stratified with two strata, the deforestation of 2014 and the remaining forest. The sample size was calculated using the binomial function. In addition, a web platform was built to evaluate the points drawn by three independent evaluators. The global accuracy of the mapping of deforestation for the state of Mato Grosso, for the year 2014 was 94.5%, and may vary between 92.4% and 96.5%, in the evaluated scenario there was no class discordance to be found. Regarding the Forest class, the user accuracy was 90.5% and the producer's accuracy was 88.4%, this imbalance between user accuracy and producer accuracy indicates that there is a tendency for the forest class area to be underestimated for this mapping, in this year. |
|
Palavras-Chave: |
Acurácia. |
|
Thesagro: |
Desmatamento. |
|
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171255/1/galoa-proceedings-sbsr-59299-a-confiabilidade.pdf
|
|
Marc: |
LEADER 02056nam a2200289 a 4500
001 2085664
005 2021-12-22
008 2017 bl uuuu u00u1 u #d
100 1 $aADAMI, M.
245 $aA confiabilidade do PRODES$bestimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE$c2017
300 $ap. 4189-4196.
520 $aPRODES is completing almost thirty years of uninterrupted monitoring of clear-cut deforestation over the Brazilian Amazon. Until now, no estimate of its mapping accuracy has been made. In this sense, this article brings a first approximation of mapping accuracy estimation of PRODES deforested areas, taking as example the state of Mato Grosso for the year 2014. For this, a random sampling panel was constructed, stratified with two strata, the deforestation of 2014 and the remaining forest. The sample size was calculated using the binomial function. In addition, a web platform was built to evaluate the points drawn by three independent evaluators. The global accuracy of the mapping of deforestation for the state of Mato Grosso, for the year 2014 was 94.5%, and may vary between 92.4% and 96.5%, in the evaluated scenario there was no class discordance to be found. Regarding the Forest class, the user accuracy was 90.5% and the producer's accuracy was 88.4%, this imbalance between user accuracy and producer accuracy indicates that there is a tendency for the forest class area to be underestimated for this mapping, in this year.
650 $aDesmatamento
653 $aAcurácia
700 1 $aGOMES, A. R.
700 1 $aBELUZZO, A.
700 1 $aCOELHO, A. dos S.
700 1 $aVALERIANO, D. de M.
700 1 $aRAMOS, F. de S.
700 1 $aNARVAES, I. da S.
700 1 $aBROWN, I. F.
700 1 $aOLIVEIRA, I. D. de
700 1 $aSANTOS, L. B.
700 1 $aMAURANO, L. E. P.
700 1 $aWATRIN, O. dos S.
700 1 $aGRAÇA, P. M. L. de A.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| 1. |  | ADAMI, M.; GOMES, A. R.; BELUZZO, A.; COELHO, A. dos S.; VALERIANO, D. de M.; RAMOS, F. de S.; NARVAES, I. da S.; BROWN, I. F.; OLIVEIRA, I. D. de; SANTOS, L. B.; MAURANO, L. E. P.; WATRIN, O. dos S.; GRAÇA, P. M. L. de A. A confiabilidade do PRODES: estimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017. p. 4189-4196.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
|    |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
