Remote Sensing Analyst

Land IQ, LLC, Sacramento, California, USA
Posted: Aug 2, 2018

Seeking candidate with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.).

Required Qualifications:

  • Education: BS/MS Remote Sensing/Geography/Data Sciences field (advanced degree preferred), Research Experience Preferred.
  • Experience: 2+ years of experience in at least one of the following areas:
    • Remote sensing based land cover mapping over agricultural area and crop classification;
    • Image based time series analysis and crop phenology modeling;
    • Remote sensing of crop evapotranspiration; and/or
    • Image based crop yield modeling.

Required Technical Capabilities:

  • Advanced spatial analysis and geoprocessing skills, experiences with ERDAS Imagine and ArcGIS software.
  • Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
  • Strong programming skills with Python or R.
  • Experienced in Python packages like NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, Keras; or similar packages in R programming environment like dplyr, ggplot, randomForest, XGBoost, etc.

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