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RS-PestDyn

The Remote Sensing insect Pest Dynamic model is an insect pest population dynamics model driven by temperature, which is derived from satellites at a daily basis. The satellite data used is the 1km land surface temperature (LST) product of MODIS, which is directly downloaded from Google Earth Engine. LST is then used in RS-PestDyn as a daily input to the model while a series of ordinary differential equations (ODEs) are solved simulataneously through the Runge-Kutta method for daily simulations of insect pest populations. Currently, RS-PestDyn simulates the population of a generic pest for a single life stage and for one day only. It still lacks several processes, which are matained constant at this stage. For more information on the basics of this model and a previous version of the model (one-dimensional model using Euler solution) see Blum et al. 2018.

Main Program:

  • 'run_RK4_2D.py'

Called Procedures:

  • 'Download_Temp_GEE.py' - download TIF files of LST from MODIS as a batch from GEE
  • 'RK4_2D_procedure.py' - solves the ODE using Runge-Kutta
  • 'display_plots.py' - displays results (as a 2D matrix of % population)

Still Needs To:

  1. extend running period to a seasonal timeframe (currently for 1 day)
  2. extend the model for various life stages (currently only 1 life stage)
  3. improve numerical solution accounting for error expansion through time.
  4. add LC/LU classification to account for plant host preference
  5. add plant growth dynamics (host stage)
  6. add migration between grid cells