Drought Eye: Monitoring Thermal Stress in Near Real-time
Monitoring drought in real-time using minimal field data is a key task for ecosystem management and conservation. We demonstrated how the space-borne canopy ''thermal stres'', defined as surface-air temperature difference, provides a reliable surrogate for drought-induced water stress in vegetation.
We quantified monthly thermal stress anomalies based on remotely sensed surface temperature from MODIS Land Surface Temperature and air temperature from PRISM. Percent tree cover data are obtained from The National Land Cover Database (NLCD). Physiographic regions boundaries are collected from U.S. Geological Survey. The interface allows for real-time monitoring of thermal stress as the data become available. Monthly rasters are also available for download through the interface. Bulk downloads may be available upon request.
Source code
Drought Eye is developed and maintained by Bijan Seyednarollah. All source codes are open under GNU AGPL-3 license and publicly available from: https://github.com/bnasr/droughteye.
Citation
For citations, please cite both the manuscript and the interface:
- Seyednasrollah, B., Domec, J.C., Clark, J.S. (2019), "Spatiotemporal sensitivity of thermal stress for monitoring canopy hydrological stress in near real-time", Agricultural and Forest Meteorology, Volumes 269–270, 15 May 2019, Pages 220-230, https://doi.org/10.1016/j.agrformet.2019.02.016.
- Seyednasrollah, B. (2018), "Drought Eye: Monitoring thermal stress in near real-time". Zenodo. http://doi.org/10.5281/zenodo.1465286
Contact us
Feel free to contact us at bijan.s.nasr@gmail.com with ideas for collaborations or suggestions for improvements.