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Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
05/07/2017 |
Data da última atualização: |
16/11/2023 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
PANTOJA, N. V.; OLIVEIRA, M. V. N. d'; HIGUCHI, N. |
Afiliação: |
Nara Vidal Pantoja, Instituto Nacional de Pesquisas da Amazônia (Inpa); MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; Niro Higuchi, Instituto Nacional de Pesquisas da Amazônia (Inpa). |
Título: |
Detecção da exploração madeireira a partir de imagens Landsat e dados LiDAR no Sudoeste da Amazônia. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. |
Páginas: |
8 p. |
ISBN: |
978-85-17-00088-1 |
Idioma: |
Português |
Conteúdo: |
Structural changes on forest canopy produced by selective logging can be identified through satellite images, which shows the location and extent of these areas. The aim of this study was to analyze the detection of logging infrastructure using Landsat images and LiDAR data and verify how long logging scars can be identified through remote sensing. The study was carried out in an annual production unite at the Antimary State Forestry Acre State, western Amazon. We used Non-Photosynthetic Vegetation (NPV) images to identify log landings and compare its location with relative vegetation density models generated from LiDAR data. We also compared the log landing areas identified in the images with the location of 40 log landings obtained in the field through DGPS. The mean area of the detected by landsat images landings was 435 m2 while the undetected landings was 302 m2. The technique tested in this study allowed us to detect 30% of the log landings in NPV images and assisted in the visual interpretation of the canopy opened produced by selective logging. The relative vegetation density model tested in this study successfully identified altered by forest operations area two years after logging, while using Landsat images these areas could be detected only in the logging year. |
Palavras-Chave: |
Acre; Amazônia Ocidental; Bujari (AC); Dossel florestal; Espacios vacíos en el dosel; Explotación forestal; Floresta Estadual do Antimary (AC); Geotécnica; Imagem de satélite; Manejo florestal; Manejo forestal; Monitoreo ambiental; Satélites; Sena Madureira (AC); Teledetección; Western Amazon. |
Thesagro: |
Controle ambiental; Degradação ambiental; Extração da madeira; Raio laser; Sensoriamento remoto. |
Thesaurus NAL: |
Canopy gaps; Environmental monitoring; Forest management; Landsat; Lásers; Lidar; Logging; Remote sensing; Satellites. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161399/1/26341.pdf
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Marc: |
LEADER 02815nam a2200517 a 4500 001 2072021 005 2023-11-16 008 2017 bl uuuu u00u1 u #d 020 $a978-85-17-00088-1 100 1 $aPANTOJA, N. V. 245 $aDetecção da exploração madeireira a partir de imagens Landsat e dados LiDAR no Sudoeste da Amazônia.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe$c2017 300 $a8 p. 520 $aStructural changes on forest canopy produced by selective logging can be identified through satellite images, which shows the location and extent of these areas. The aim of this study was to analyze the detection of logging infrastructure using Landsat images and LiDAR data and verify how long logging scars can be identified through remote sensing. The study was carried out in an annual production unite at the Antimary State Forestry Acre State, western Amazon. We used Non-Photosynthetic Vegetation (NPV) images to identify log landings and compare its location with relative vegetation density models generated from LiDAR data. We also compared the log landing areas identified in the images with the location of 40 log landings obtained in the field through DGPS. The mean area of the detected by landsat images landings was 435 m2 while the undetected landings was 302 m2. The technique tested in this study allowed us to detect 30% of the log landings in NPV images and assisted in the visual interpretation of the canopy opened produced by selective logging. The relative vegetation density model tested in this study successfully identified altered by forest operations area two years after logging, while using Landsat images these areas could be detected only in the logging year. 650 $aCanopy gaps 650 $aEnvironmental monitoring 650 $aForest management 650 $aLandsat 650 $aLásers 650 $aLidar 650 $aLogging 650 $aRemote sensing 650 $aSatellites 650 $aControle ambiental 650 $aDegradação ambiental 650 $aExtração da madeira 650 $aRaio laser 650 $aSensoriamento remoto 653 $aAcre 653 $aAmazônia Ocidental 653 $aBujari (AC) 653 $aDossel florestal 653 $aEspacios vacíos en el dosel 653 $aExplotación forestal 653 $aFloresta Estadual do Antimary (AC) 653 $aGeotécnica 653 $aImagem de satélite 653 $aManejo florestal 653 $aManejo forestal 653 $aMonitoreo ambiental 653 $aSatélites 653 $aSena Madureira (AC) 653 $aTeledetección 653 $aWestern Amazon 700 1 $aOLIVEIRA, M. V. N. d' 700 1 $aHIGUCHI, N.
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Embrapa Acre (CPAF-AC) |
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