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Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+. Repositório Alice
LEITOLD, V.; KELLER, M.; MORTON, D. C.; COOK, B. D.; SHIMABUKURO, Y. E..
Carbon stocks and fluxes in tropical forests remain large sources of uncertainty in the global carbon budget. Airborne lidar remote sensing is a powerful tool for estimating aboveground biomass, provided that lidar measurements penetrate dense forest vegetation to generate accurate estimates of surface topography and canopy heights. Tropical forest areas with complex topography present a challenge for lidar remote sensing.
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Tropical montane forest; Airbone lidar; Digital terrain model; Elevation accuracy; Data thinning; Canopy height; Biomass estimation; REDD+.
Ano: 2015 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1019401
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Landscape-scale variation in forest structure and biomass along an elevation gradient in the Atlantic Forest of the Serra do Mar, Brazil. Repositório Alice
LEITOLD, V.; KELLER, M.; MORTON, D. C.; SHIMABUKURO, Y. E..
Landscape-scale quantification of forest structure, disturbance patterns and biomass distribution can improve our understanding of the environmental controls on the functioning of forested ecosystems. Assessing the detailed structure of the complex tropical forest canopy is a challenging task, especially in areas of steep topography where field access is limited. We used airborne lidar (light detection and ranging) data to describe the landscape-scale variation in canopy structure and gap distribution in a 1000-ha area along an elevation gradient from 0 to 1200m in the Atlantic Forest of the Serra do Mar in southeast Brazil. Mean canopy heights (MCHs) were greatest (21-22m) at intermediate elevations (200-700m) in the submontane forest where terrain slope...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Airborne lidar; Tropical montane forest; Canopy structure; Gap distribution; Biomass dynamics; Permanent field plots.
Ano: 2014 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1002573
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