Estimating species richness and biomass of tropical dry forests using LIDAR during leaf-on and leaf-off canopy conditions

Author:

Hernández-Stefanoni Jose Luis1,Johnson Kristofer D.2,Cook Bruce D.3,Dupuy Juan Manuel1,Birdsey Richard2,Peduzzi Alicia2,Tun-Dzul Fernando1

Affiliation:

1. Centro de Investigación Científica de Yucatán A.C; Unidad de Recursos Naturales; Calle 43 # 130, Colonia Chuburná de Hidalgo C.P. 97200 Mérida Yucatán México

2. U.S. Forest Service; Northern Research Station Newtown Square PA 19073 USA

3. NASA Goddard Space Flight Center; Greenbelt MD 20771 USA

Funder

Reinforcing REDD+ and South-South Cooperation Project

Mexican National Forest Commission (CONAFOR)

United States Forest Service (USFS) and USAID

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology

Reference48 articles.

1. A universal airborne LIDAR approach for tropical forest carbon mapping;Asner;Oecologia,2012

2. Quantifying the influence of slope, aspect, crown shape and stem density on the estimation of tree height at plot level using LIDAR and InSAR data;Breidenbach;International Journal of Remote Sensing,2008

3. Estimating canopy height of deciduous forests at a regional scale with leaf-off, low point density LIDAR;Brubaker;Canadian Journal of Remote Sensing,2014

4. Composition and aboveground tree biomass of a dry semi-evergreen forest on Mexico's Yucatan Peninsula;Cairns;Forest Ecology and Management,2003

5. Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama;Chave;Journal of Ecology,2003

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