Articles | Volume 16, issue 17
https://doi.org/10.5194/bg-16-3457-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-3457-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar
Marcos A. S. Scaranello
CORRESPONDING AUTHOR
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
Michael Keller
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
International Institute of Tropical Forestry, USDA Forest Service,
Río Piedras, 00926-1119, Puerto Rico
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Marcos Longo
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Maiza N. dos-Santos
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
Veronika Leitold
NASA Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USA
Douglas C. Morton
NASA Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USA
Ekena R. Pinagé
School of Life Sciences, University of Technology Sydney, Sydney,
2007, Australia
College of Forestry, Oregon State University, Corvallis, OR 97331, USA
Fernando Del Bon Espírito-Santo
Leicester Institute of Space and Earth Observation, Centre for Landscape and Climate Research, School of Geography, Geology and Environment, University of Leicester, University Road, Leicester LE1 7RH, UK
Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto,
Universidade de São Paulo, Ribeirão Preto, 14040-900, Brazil
Data sets
Sustainable Landscapes Brazil M. N. dos-Santos and M. Keller https://www.paisagenslidar.cnptia.embrapa.br/webgis/
Short summary
The coarse dead wood component of the tropical forest carbon pool is rarely measured. For the first time, we developed models for predicting coarse dead wood in Amazonian forests by using airborne laser scanning data. Our models produced site-based estimates similar to independent field estimates found in the literature. Our study provides an approach for estimating coarse dead wood pools from remotely sensed data and mapping those pools over large scales in intact and degraded forests.
The coarse dead wood component of the tropical forest carbon pool is rarely measured. For the...
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