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  • Ground-Truthing Satellite Imagery with Phenological Observations: Visual Observations from Grasslands at the Sevilleta National Wildlife Refuge, New Mexico
  • Vanderbilt, Kristin; SEV LTER
    Bradley, Bethany; SEV LTER
  • 2010
  • Vanderbilt, K. and B. Bradley. 2013. Ground-Truthing Satellite Imagery with Phenological Observations: Visual Observations from Grasslands at the Sevilleta National Wildlife Refuge, New Mexico ver 168293. Environmental Data Initiative. https://doi.org/10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce (Accessed 2024-04-28).

  • Phenology is the study of recurring natural phenomena. The seasonal "greening-up" and "greening-down" of dominant vegetation can be used as a predictor for a variety of processes and variables at local to global scales. The use of satellites to monitor land surface phenology is important for understanding local and regional ecosystem variability, identifying change over time, and potentially predicting ecosystem response to short and long-term changes in climate. However, the relationship between how phenology is expressed on the ground and how it is interpreted from satellites is poorly understood because phenological stages do not always correspond well to changes in spectral reflectance. In this study, we explored the relationship between greenness as measured by digital camera, the human eye, and ASTER imagery in two perennial grasslands at the Sevilleta National Wildlife Refuge in central New Mexico.

  • Geographic Coordinates
    • N: 34.3348, S: 34.3348, E: -106.631, W: -106.631
    • N: 34.3331, S: 34.3331, E: -106.736, W: -106.736
  • knb-lter-sev.214.168293  (Uploaded 2013-12-20)  
  • Data Policies This dataset is released to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement of the Sevilleta LTER. Datasets must be cited as in the example below. Muldavin, E. 2004. Sevilleta LTER Fertilizer NPP Study Dataset. Albuquerque, NM: Sevilleta Long Term Ecological Research Site Database: SEV155. (Date of download) A copy of any publications using these data must be supplied to the Sevilleta LTER Information Manager.
  • https://doi.org/10.6073/pasta/b77dc694b70480e11fbabb9cb797c6ce
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