Detecção da exploração madeireira a partir de imagens Landsat e dados LiDAR no Sudoeste da Amazônia.

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dc.contributorNara Vidal Pantoja, Instituto Nacional de Pesquisas da Amazônia (Inpa)
dc.contributorMARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC
dc.contributorNiro Higuchi, Instituto Nacional de Pesquisas da Amazônia (Inpa).
dc.creatorPANTOJA, N. V.
dc.creatorOLIVEIRA, M. V. N. d'
dc.creatorHIGUCHI, N.
dc.date2017-07-05T11:11:11Z
dc.date2017-07-05T11:11:11Z
dc.date2017-07-05
dc.date2017
dc.date2017-11-08T11:11:11Z
dc.date.accessioned2026-06-30T22:50:36Z
dc.descriptionStructural 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.
dc.format8 p.
dc.identifierIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017.
dc.identifier978-85-17-00088-1
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1072021
dc.identifier.urihttp://hdl.handle.net/123456789/369327
dc.languagepor
dc.rightsopenAccess
dc.subjectGeotécnica
dc.subjectManejo florestal
dc.subjectDossel florestal
dc.subjectFloresta Estadual do Antimary (AC)
dc.subjectBujari (AC)
dc.subjectSena Madureira (AC)
dc.subjectAcre
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.subjectExplotación forestal
dc.subjectManejo forestal
dc.subjectImagem de satélite
dc.subjectSatélites
dc.subjectTeledetección
dc.subjectMonitoreo ambiental
dc.subjectEspacios vacíos en el dosel
dc.subjectDegradação ambiental
dc.subjectControle ambiental
dc.subjectSensoriamento remoto
dc.subjectExtração da madeira
dc.subjectRaio laser
dc.subjectForest management
dc.subjectLogging
dc.subjectEnvironmental monitoring
dc.subjectRemote sensing
dc.subjectSatellites
dc.subjectLandsat
dc.subjectLidar
dc.subjectCanopy gaps
dc.subjectLásers
dc.titleDetecção da exploração madeireira a partir de imagens Landsat e dados LiDAR no Sudoeste da Amazônia.
dc.typeArtigo em anais e proceedings

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