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Applying Tipping Point Theory to Remote Sensing Science to Improve Early Warning Drought Signals for Food Security

Krishnamurthy R, P. Krishna, Fisher, Joshua B., Schimel, David S., and Kareiva, Peter M., 2020. Applying Tipping Point Theory to Remote Sensing Science to Improve Early Warning Drought Signals for Food Security. Earth's Future, 8(3):e01456, doi:10.1029/2019EF001456.

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BibTeX

@ARTICLE{2020EaFut...801456K,
       author = {{Krishnamurthy R}, P. Krishna and {Fisher}, Joshua B. and {Schimel}, David S. and {Kareiva}, Peter M.},
        title = "{Applying Tipping Point Theory to Remote Sensing Science to Improve Early Warning Drought Signals for Food Security}",
      journal = {Earth's Future},
     keywords = {drought, early warning, food security, remote sensing, tipping points},
         year = 2020,
        month = mar,
       volume = {8},
       number = {3},
          eid = {e01456},
        pages = {e01456},
          doi = {10.1029/2019EF001456},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020EaFut...801456K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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