Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data
South Dakota State University · Conservation International · +6 more institutions
Abstract
Forest cover is an important input variable for assessing changes to carbon stocks, climate and hydrological systems, biodiversity richness, and other sustainability science disciplines. Despite incremental improvements in our ability to quantify rates of forest clearing, there is still no definitive understanding on global trends. Without timely and accurate forest monitoring methods, policy responses will be uninformed concerning the most basic facts of forest cover change. Results of a feasible and cost-effective monitoring strategy are presented that enable timely, precise, and internally consistent estimates of forest clearing within the humid tropics. A probability-based sampling approach that…
Citation impact
- FWCI
- 51.41
- Percentile
- 100%
- References
- 30
Authors
12- MCMatthew C. Hansen
South Dakota State University
- SVStephen V. Stehman
Conservation International, State University of New York, SUNY College of Environmental Science and Forestry, York University
- PPPeter Potapov
World Resources Institute, South Dakota State University
- TRThomas R. Loveland
United States Geological Survey, World Resources Institute, South Dakota State University
- JTJohn Townshend
University of Maryland, College Park
Topics & keywords
- Clearing
- Biome
- Agroforestry
- Environmental science
- Tropics
- Biodiversity
- Geography
- Sampling (signal processing)
- Life in Land