Use of multi-temporal Landsat images to monitor forest disturbance (1987-2007) in the Black Hills of South Dakota
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Abstract
Monitoring forest disturbance is important for studying carbon pools and fluxes. The goal of this study is to observe forest disturbance of different burn severity levels using multi-temporal Landsat images. The Jasper Fire occurred in the Black Hills National Forest, South Dakota, during August and September of 2000. The fire disturbance to ecosystem characteristics has a widespread and long-term impact. We used 18 Landsat images acquired from 1987 to 2007 to monitor the land cover changes due to the fire disturbance. The Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Normalized Burn Ratio (NBR), and Integrated Forest Index (IFI) were calculated from the Landsat at-sensor-reflectance data. Based on IFI in 2000 and Composite Burn Index data collected in May 2002, nine field plots were selected and monitored. The results showed that all four spectral indices were capable of detecting and monitoring the forest disturbance caused by thinning and fire. IFI and NBR are more suitable for long-term monitoring while NDVI and EVI are more sensitive to rapid changes within a one-year period.
Study Area
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Use of multi-temporal Landsat images to monitor forest disturbance (1987-2007) in the Black Hills of South Dakota |
| Year Published | 2009 |
| Language | English |
| Publisher | Center for Land Use Education and Research |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 8 p. |
| Larger Work Type | Conference Paper |
| Larger Work Title | Fifth International Workshop on the Analysis of Multi-temporal Remote Sensing Images conference proceedings |
| Conference Title | 5th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images (MultiTemp 2009) |
| Conference Location | Groton, Connecticut |
| Conference Date | July 28-30, 2009 |
| Country | United States |
| State | South Dakota |
| Other Geospatial | Black Hills |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |