Remote Sensing Characterization of Upper Great Lakes Forest Disturbance and Recovery to Improve Modeled Impacts on Land Surface Energetic and Hydrologic Fluxes

2015 ◽  
Keyword(s):  
Remote Sensing ◽  
Great Lakes ◽  
Land Surface ◽  
Forest Disturbance ◽  
Upper Great Lakes ◽  
Disturbance And Recovery

scholarly journals A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series

2017 ◽  
Vol 194 ◽  
pp. 303-321 ◽  
Author(s):  
Joanne C. White ◽  
Michael A. Wulder ◽  
Txomin Hermosilla ◽  
Nicholas C. Coops ◽  
Geordie W. Hobart
Keyword(s):  
Time Series ◽  
Forest Disturbance ◽  
Disturbance And Recovery

scholarly journals Advances in Land Surface Models and Indicators for Drought Monitoring and Prediction

2021 ◽  
pp. 1-68
Author(s):  
Christa D. Peters-Lidard ◽  
David M. Mocko ◽  
Lu Su ◽  
Dennis P. Lettenmaier ◽  
Pierre Gentine ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Land Surface Models ◽  
Drought Assessment ◽  
Multiple Indicators ◽  
Surface Models ◽  
Drought Reconstruction ◽  
Hydrologic Impact

AbstractMillions of people across the globe are affected by droughts every year, and recent droughts have highlighted the considerable agricultural impacts and economic costs of these events. Monitoring the state of droughts depends on integrating multiple indicators that each capture particular aspects of hydrologic impact and various types and phases of drought. As the capabilities of land-surface models and remote sensing have improved, important physical processes such as dynamic, interactive vegetation phenology, groundwater, and snow pack evolution now support a range of drought indicators that better reflect coupled water, energy and carbon cycle processes. In this work, we discuss these advances, including newer classes of indicators that can be applied to improve the characterization of drought onset, severity and duration. We utilize a new model-based drought reconstruction to illustrate the role of dynamic phenology and groundwater in drought assessment. Further, through case studies on flash droughts, snow droughts, and drought recovery, we illustrate the potential advantages of advanced model physics and observational capabilities, especially from remote sensing, in characterizing droughts.

Developing Land-surface Evapotranspiration Remote Sensing Monitoring System Using the Component Technology

2011 ◽  
Vol 13 (5) ◽  
pp. 679-686
Author(s):  
Zhiqi QIAN ◽  
Youjing ZHANG ◽  
Shizan DENG ◽  
Yingying FANG ◽  
Chen CHEN
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Land Surface ◽  
Component Technology ◽  
Remote Sensing Monitoring
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