Loading...
Please wait, while we are loading the content...
Similar Documents
US National Maps Attributing Forest Change: 1986–2010
| Content Provider | MDPI |
|---|---|
| Author | Schleeweis, Karen G. Moisen, Gretchen G. Schroeder, Todd A. Toney, Chris Freeman, Elizabeth A. Goward, Samuel N. Huang, Chengquan Dungan, Jennifer L. |
| Copyright Year | 2020 |
| Description | National monitoring of forestlands and the processes causing canopy cover loss, be they abrupt or gradual, partial or stand clearing, temporary (disturbance) or persisting (deforestation), are necessary at fine scales to inform management, science and policy. This study utilizes the Landsat archive and an ensemble of disturbance algorithms to produce maps attributing event type and timing to >258 million ha of contiguous Unites States forested ecosystems (1986–2010). Nationally, 75.95 million forest ha (759,531 km2) experienced change, with 80.6% attributed to removals, 12.4% to wildfire, 4.7% to stress and 2.2% to conversion. Between regions, the relative amounts and rates of removals, wildfire, stress and conversion varied substantially. The removal class had 82.3% (0.01 S.E.) user’s and 72.2% (0.02 S.E.) producer’s accuracy. A survey of available national attribution datasets, from the data user’s perspective, of scale, relevant processes and ecological depth suggests knowledge gaps remain. |
| Starting Page | 653 |
| e-ISSN | 19994907 |
| DOI | 10.3390/f11060653 |
| Journal | Forests |
| Issue Number | 6 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-06-08 |
| Access Restriction | Open |
| Subject Keyword | Forests Remote Sensing Forest Cover Loss Disturbance Conversion Attribution Landsat Time Series Random Forests Nafd |
| Content Type | Text |
| Resource Type | Article |
