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Resources
2014-12-15T23:10:55+00:00
Anthony Louis D'Agostino
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This is a curated list of software/tools/resource guides that I have found useful over the years.

Remote Sensing Data and Analysis

  • Google Earth Engine – the default environment for processing satellite imagery
  • UAF Alaska Satellite Facility – great selection of tutorials on SAR data and processing
  • NASA ARSET video tutorials – cover topics spanning flood detection, water quality monitoring, land cover mapping, etc.
  • ML 4 RSearthlab.ai curated page of ML resources for remote sensing, with focus on introductory materials; covers topics like land cover classification and time-series analysis. Draws heavily on Medium and Towards Data Science posts.\

Experimental and Quasi-Experimental Design Tools and Methods


Indian Agriculture, Environment, and Development


NCAER ARIS-REDS – Rural Economic and Demographic Survey, Round 2006

  • Crop listing codes (converted from Appendix-2) – category groupings are blank in the “CODE” column and include all crops until the next category (XLSX format)
  • NCO_Codes_2006 (converted from Appendix-2) – unsure which vintage of NCO codes these are drawn from, but this is the tabular form [converted using smallPDF.com] of the PDF documentation (XLSX format)\

India – Labor Data


India – Geographic Resources


Python & Programming


Stata Tools



Survey Data Analysis and Visualization

  • SuAVE: Survey Analysis via Visual Exploration
  • Color Brewer 2.0: Color Advice for Cartography
  • Colorpicker: Brings Gregor Aisch’s recommendations within reach\

Climate Data Tools


GHG Emissions and Emissions Monitoring


Economic Development – General Resources


Food and Agriculture Data

  • CountrySTAT{:target="_blank"}
  • OneSoil{:target="_blank"} – AI detected field boundaries and crop identification\

US Data


Data [General]


Research Productivity

  • Inciteful{:target="_blank"} - build a network of academic articles to facilitate lit reviews