MODIS-informed greenness responsesto daytime land surface temperaturefluctuations and wildfire disturbancesin the Alaskan Yukon River Basin
International Journal of Remote Sensing
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Abstract
Pronounced climate warming and increased wildfire disturbances are known to modify forest composition and control the evolution of the boreal ecosystem over the Yukon River Basin (YRB) in interior Alaska. In this study, we evaluate the post-fire green-up rate using the normalized difference vegetation index (NDVI) derived from 250 m 7 day eMODIS (an alternative and application-ready type of Moderate Resolution Imaging Spectroradiometer (MODIS) data) acquired between 2000 and 2009. Our analyses indicate measureable effects on NDVI values from vegetation type, burn severity, post-fire time, and climatic variables. The NDVI observations from both fire scars and unburned areas across the Alaskan YRB showed a tendency of an earlier start to the growing season (GS); the annual variations in NDVI were significantly correlated to daytime land surface temperature (LST) fluctuations; and the rate of post-fire green-up depended mainly on burn severity and the time of post-fire succession. The higher average NDVI values for the study period in the fire scars than in the unburned areas between 1950 and 2000 suggest that wildfires enhance post-fire greenness due to an increase in post-fire evergreen and deciduous species components
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | MODIS-informed greenness responsesto daytime land surface temperaturefluctuations and wildfire disturbancesin the Alaskan Yukon River Basin |
| Series title | International Journal of Remote Sensing |
| DOI | 10.1080/01431161.2012.742215 |
| Volume | 34 |
| Issue | 6 |
| Year Published | 2012 |
| Language | English |
| Publisher | Taylor & Francis |
| Publisher location | London, UK |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 13 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | International Journal of Remote Sensing |
| First page | 2187 |
| Last page | 2199 |
| Country | United States |
| State | Alaska |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |