|
|
|
|
|
| ALMEIDA, D. R. A. de; ZAMBRANO, A. M. A.; BROADBENT, E. N.; WENDT, A. L.; FOSTER, P.; WILKINSON, B. E.; SALK, C.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; GORGENS, E. B.; SILVA, C. A.; BRANCALION, P. H. S.; FAGAN, M.; MELI, P.; CHAZDON, R.. |
| Drone-based remote sensing is a promising new technology that combines the benefits of ground-based and satellite-derived forest monitoring by collecting fine-scale data over relatively large areas in a cost-effective manner. Here, we explore the potential of the GatorEye drone-lidar system to monitor tropical forest succession by canopy structural attributes including canopy height, spatial heterogeneity, gap fraction, leaf area density (LAD) vertical distribution, canopy Shannon index (an index of LAD), leaf area index (LAI), and understory LAI. We focus on these variables? relationship to aboveground biomass (AGB) stocks and species diversity. In the Caribbean lowlands of northeastern Costa Rica, we analyze nine tropical forests stands (seven... |
| Tipo: Artigo de periódico |
Palavras-chave: Drone; GatorEye; Aerial surveys; Regeneração florestal; Biomassa aérea; Bosques lluviosos; Monitoreo; Restauración de bosques; Bosques secundarios; Biomasa aérea; Teledetección; Vehículos aéreos no tripulados; Sarapiquí; Heredia Province; Caribbean lowlands; Northeastern Costa Rica; Floresta Tropical; Reconhecimento Florestal; Floresta Secundaria; Sensoriamento Remoto; Raio Laser; Rain forests; Monitoring; Forest restoration; Secondary forests; Aboveground biomass; Remote sensing; Unmanned aerial vehicles; Lidar. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124130 |
| |
|
|
|
