Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon

Author:

Feng Yunyun12,Lu Dengsheng12ORCID,Chen Qi13,Keller Michael45,Moran Emilio2,dos-Santos Maiza Nara4,Bolfe Edson Luis6,Batistella Mateus7

Affiliation:

1. The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, School of Environmental & Resource Sciences, Zhejiang Agriculture and Forestry University, Lin An, People’s Republic of China

2. Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, USA

3. Department of Geography, University of Hawaii at Manoa, Honolulu, HI, USA

4. Brazilian Agricultural Research Corporation – Embrapa Informática Agropecuária, Campinas, Brazil

5. USDA Forest Service, International Institute of Tropical Forestry, Rio Piedras, PR, USA

6. Brazilian Agricultural Research Corporation – Embrapa, Secretariat of Intelligence and Macro Strategy, Brasília, Brazil

7. Brazilian Agricultural Research Corporation (Embrapa), Brasília, Brazil

Funder

National Natural Science Foundation of China

Research and Development

Brazilian Agricultural Research Corporation (EMBRAPA)

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

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