MODIS-informed greenness responses to daytime land surface temperature fluctuations and wildfire disturbances in the Alaskan Yukon River Basin

References

• Abdel-Malak , D. A. and Pausas , J. G. 2006 . Fire Regime and Postfire Normalized Difference Vegetation Index Changes in the Eastern Iberian Peninsula (Mediterranean Basin) . International Journal of Wildland Fire , 15 : 407 – 13 .
   Web of Science ®Google Scholar
• Allen , J. L. and Sorbel , B. 2008 . Assessing the Differenced Normalized Burn Ratio's Ability to Map Burn Severity in the Boreal Forest and Tundra Ecosystems of Alaska's National Parks . International Journal of Wildland Fire , 17 : 463 – 75 .
   Web of Science ®Google Scholar
• Allen , J. L. , Wesseer , S. , Markon , C. J. and Winterberger , K. C. 2006 . Stand and Landscape Level Effects of a Major Outbreak of Spruce Beetles on Forest Vegetation in the Copper River Basin, Alaska . Forest Ecology and Management , 227 : 257 – 66 .
   Web of Science ®Google Scholar
• Barrett , K. , Mcguire , A. D. , Hoy , E. E. and Kasischke , E. S. 2011 . Potential Shifts in Dominant Forest Cover in Interior Alaska Driven by Variations in Fire Severity . Ecological Applications , 21 : 2380 – 96 .
   PubMed Web of Science ®Google Scholar
• Calef , M. P. , Mcguire , A. D. , Epstein , H. E. , Rupp , T. S. and Shugart , H. H. 2005 . Analysis of Vegetation Distribution in Interior Alaska and Sensitivity to Climate Change Using Logistic Regression Approach . Journal of Biogeography , 32 : 863 – 78 .
   Web of Science ®Google Scholar
• Chen , J. M. , Ju , M. , Cihlar , J. C. , Price , D. , Liu , J. , Chen , W. , Pan , J. , Black , A. and Barr , A. 2003 . Spatial Distribution of Carbon Sources and Sinks in Canada's Forests Based on Remote Sensing . Tellus B , 55 : 622 – 42 .
   Google Scholar
• Eidenshink , J. , Schwind , B. , Brewer , K. , Zhu , Z. , Quayle , B. and Howard , S. 2007 . A Project for Monitoring Trends in Burn Severity . Fire Ecology , 3 : 3 – 21 .
   Google Scholar
• Epting , J. and Verbyla , D. L. 2005 . Landscape-Level Interactions of Prefire Vegetation, Burn Severity, and Postfire Vegetation over a 16-Year Period in Interior Alaska . Canadian Journal of Remote Sensing , 35 : 1367 – 77 .
   Web of Science ®Google Scholar
• Goetz , S. J. and Bunn , A. G. 2006 . Using Satellite Time-Series Data Sets to Analyze Fire Disturbance and Forest Recovery across Canada . Remote Sensing of Environment , 101 : 352 – 65 .
   Web of Science ®Google Scholar
• Goetz , S. J. , Bunn , A. G. , Fiske , G. J. and Houghton , R. A. 2005 . Satellite-Observed Photosynthetic Trends Across Boreal North America Associated with Climate and Fire Disturbances . Proceedings of the National Academy of Sciences , 102 : 13521 – 5 .
   PubMed Web of Science ®Google Scholar
• Goulden , M. L. , Munger , J. W. , Fan , S. M. , Daube , B. C. and Wofsy , S. C. 2006 . An Eddy Covariance Mesonet to Measure the Effect of Forest Age on Land-Atmosphere Exchange . Global Change Biology , 12 : 2146 – 62 .
   Web of Science ®Google Scholar
• Gouveia , C. , Dacamara , C. C. and Trigo , R. M. 2010 . Post-Fire Vegetation Recovery in Portugal Based on Spot/Vegetation Data . National Hazards Earth System Sciences , 10 : 673 – 84 .
   Web of Science ®Google Scholar
• Huete , A. , Didan , K. , Miura , T. , Rodriguez , E. P. , Gao , X. and Ferreira , L. G. 2002 . Overview of Radiometric and Biophysical Performance of MODIS Vegetation Indices . Remote Sensing of Environment , 83 : 195 – 213 .
   Web of Science ®Google Scholar
• Jenkerson , C. B. , Maiersperger , T. and Schmidt , G. 2010 . eMODIS: A User-Friendly Data Source , U.S. Geological Survey Open-File Report 2010-1055, 10 .
   Google Scholar
• Ji , L. and Peters , A. J. 2007 . Performance Evaluation of Spectral Vegetation Indices Using a Statistical Sensitivity Function . Remote Sensing of Environment , 106 : 59 – 65 .
   Web of Science ®Google Scholar
• Ji , L. , Wylie , B. , Ramachandran , B. and Jenkerson , C. B. 2010 . A Comparative Analysis of Three Different MODIS NDVI Data Sets for Alaska and Adjacent Canada . Canadian Journal of Remote Sensing , 36 ( S1 ) : S149 – 67 .
   Web of Science ®Google Scholar
• Jia , G. J. , Epstein , H. E. and Walker , D. A. 2006 . Spatial Heterogeneity of Tundra Vegetation Response to Recent Temperature Changes . Global Change Biology , 12 : 42 – 55 .
   Web of Science ®Google Scholar
• Kaduk , J. D. and Los , S. O. 2011 . Predicting the Time of Green up in Temperate and Boreal Biomes . Climatic Change , 107 : 277 – 304 .
   Web of Science ®Google Scholar
• Kasischke , E. S. , Verbyla , D. L. , Rupp , T. S. , McGuire , A. D. , Murphy , K. A. , Jandt , R. , Barnes , J. L. , Hoy , E. E. , Duffy , P. A. , Calef , M. and Turetsky , M. R. 2010 . Alaska's Changing Fire Regime — Implications for the Vulnerability of Its Boreal Forests . Canadian Journal of Forest Research , 40 : 1313 – 24 .
   Web of Science ®Google Scholar
• Key , C. H. 2006 . Ecological and Sampling Constraints on Defining Landscape Fire Severity . Fire Ecology , 2 : 34 – 59 .
   Google Scholar
• Khlopenkov , K. V. and Trishchenko , A. P. 2008 . Implementation and Evaluation of Concurrent Gradient Search Method for Reprojection of MODIS Level 1b Imagery . IEEE Transactions on Geoscience and Remote Sensing , 46 : 2016 – 27 .
   Web of Science ®Google Scholar
• Kronberg , B. I. and Watt , M. J. 2000 . The Precariousness of North American Boreal Forests . Environmental Monitoring and Assessment , 62 : 261 – 72 .
   Web of Science ®Google Scholar
• Kushla , J. and Ripple , W. 1998 . Assessing Wildfire Effects with Landsat Thematic Mapper Data . International Journal of Remote Sensing , 19 : 2493 – 507 .
   Web of Science ®Google Scholar
• Luo , Y. , Trishchenko , A. P. and Khlopenkov , K. V. 2008 . Developing Clear-Sky, Cloud and Cloud Shadow Mask for Producing Clear-Sky Composites at 250 Meter Spatial Resolution for the Seven MODIS Land Composites Over Canada and North America . Remote Sensing of Environment , 112 : 4167 – 85 .
   Web of Science ®Google Scholar
• Mckenny , D. W. , Pedlar , J. H. , Papadopol , P. and Hutchinson , M. F. 2006 . The Development of 1901–2000 Historical Monthly Climate Models for Canada and the United States . Agricultural and Forest Meteorology , 138 : 69 – 81 .
   Web of Science ®Google Scholar
• Murphy , K. A. , Reynolds , J. H. and Koltun , J. M. 2008 . Evaluating the Ability of the Delta Normalized Burn Ratio (dNBR) to Predict Ecologically Significant Burn Severity in Alaskan Boreal Forests . International Journal of Wildland Fire , 17 : 490 – 9 .
   Web of Science ®Google Scholar
• Pouliot , D. , Latifovic , R. and Olthof , I. 2009 . Trends in Vegetation NDVI From 1 Km AVHRR Data Over Canada for the Period 1985–2006 . International Journal of Remote Sensing , 30 : 149 – 68 .
   Web of Science ®Google Scholar
• Reed , B. , Budde , M. , Spencer , P. and Miller , A. E. 2009 . Integration of MODIS-Derived Metrics to Assess Interannual Variability in Snowpack, Lake Ice, and NDVI in Southwest Alaska . Remote Sensing of Environment , 113 : 1443 – 52 .
   Web of Science ®Google Scholar
• Riaño , D. , Chuvieco , E. , Ustin , S. , Zomer , R. , Dennison , P. , Roberts , D. and Salas , J. 2002 . Assessment of the Vegetation Regeneration after Fire Through the Multitemporal Analysis of AVIRIS Images in the Santa Monica Mountains . Remote Sensing of Environment , 79 : 60 – 71 .
   Web of Science ®Google Scholar
• Riordan , B. , Verbyla , D. and Mcguire , A. D. 2006 . Shrinking Ponds in Subarctic Alaska Based on 1950–2002 Remotely Sensed Images . Journal of Geophysical Research , 111 : G04002
   Web of Science ®Google Scholar
• Rupp , T. S. , Chapin III , F. S. and Starfield , A. M. 2000 . Response of Subarctic Vegetation to Transient Climatic Change on the Seward Peninsula in North-West Alaska . Global Change Biology , 6 : 541 – 55 .
   Web of Science ®Google Scholar
• Swets , D. L. , Reed , B. C. , Rowland , J. D. and Marko , S. E. “A Weighted Least-Squares Approach to Temporal NDVI Smoothing.” . Proceedings of the 1999 ASPRS annual conference, from Image to Information . Portland , USA. Oregon .
   Google Scholar
• Tan , Z. , Tieszen , L. L. , Zhu , Z. , Liu , S. and Howard , S. 2007 . An Estimate of Carbon Emissions from 2004 Alaskan Boreal Wildfires in 2004 . Carbon Balance and Management , 2 doi: 10.1186/1750–0680–2–12
   Google Scholar
• Tang , J. and Zhuang , Q. 2011 . Modeling Soil Thermal and Hydrological Dynamics and Changes of Growing Season in Alaskan Terrestrial Ecosystems . Climatic Change , 107 : 481 – 510 .
   Web of Science ®Google Scholar
• Turetsky , M. R. , Kane , E. S. , Harden , J. W. , Ottmar , K. L. , Manies , K. L. and Kasischke , E. S. 2011 . A Changing Boreal Fire Regime Intensifies Burning . Nature Geoscience , 4 : 27 – 31 .
   Web of Science ®Google Scholar
• Verbyla , D. 2008 . The Greening and Browning of Alaska Based on 1982–2003 Satellite Data . Global Ecology and Biogeography , 17 : 547 – 55 .
   Web of Science ®Google Scholar
• Viedma , O. and Meliá , J. 1999 . Monitoring Temporal Changes in the Spatial Patterns of a Mediterranean Shrubland Using Landsat TM Images . Global Change and Plant Diversity , 5 : 275 – 93 .
   Google Scholar
• Wylie , B. K. , Zhang , L. , Bliss , N. B. , Ji , L. , Tieszen , L. L. and Jolly , W. M. 2008 . Integrating Modelling and Remote Sensing to Identify Ecosystem Performance Anomalies in the Boreal Forest, Yukon River Basin, Alaska . International Journal of Digital Earth , 1 : 196 – 220 .
   Web of Science ®Google Scholar
• Xia, C., G. Huang, and A. Han. 2005. “MODIS-Based Estimation of Biomass and Carbon Stock of Forest Ecosystem in Northeast China.” In Geoscience and Remote Sensing Symposium, 2005, IGARSS '05, Proceedings. vol. 4, 3016–19. IEEE International. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1525705&userType=inst (http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1525705&userType=inst)
   Google Scholar
• Yuan , W. , Liu , S. , Yu , G. , Bonnefond , J. M. , Chen , J. , Davis , K. , Desai , A. R. , Goldstein , A. H. , Gianelle , D. and Rossi , F. 2010 . Global Estimates of Evapotranspiration and Gross Primary Production Based on MODIS and Global Meteorology Data . Remote Sensing of Environment , 114 : 1416 – 31 .
   Web of Science ®Google Scholar