Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072021
Título: Detecção da exploração madeireira a partir de imagens Landsat e dados LiDAR no Sudoeste da Amazônia.
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).
Ano de publicação: 2017
Referência: In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017.
Páginas: 8 p.
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.
Thesagro: Degradação ambiental
Controle ambiental
Sensoriamento remoto
Extração da madeira
Raio laser
NAL Thesaurus: Forest management
Logging
Environmental monitoring
Remote sensing
Satellites
Landsat
Lidar
Canopy gaps
Lásers
Palavras-chave: Geotécnica
Manejo florestal
Dossel florestal
Floresta Estadual do Antimary (AC)
Bujari (AC)
Sena Madureira (AC)
Acre
Amazônia Ocidental
Western Amazon
Manejo forestal
Imagem de satélite
Espacios vacíos en el dosel
Explotación forestal
Monitoreo ambiental
Satélites
Teledetección
ISBN: 978-85-17-00088-1
Tipo do material: Artigo em anais e proceedings
Acesso: openAccess
Aparece nas coleções:Artigo em anais de congresso (CPAF-AC)

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