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Issue 1

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Domain
data, machine-learning

Research direction

Start with the linked background paper, original Labs ticket, and project notes in the Google Doc to understand the evaluation scope. The issue does not name repository files, tests, or an implementation entry point; the stated outcome is a repeatable workflow and tooling for comparing Presto, Olmo Earth, and Tessera across the listed regions, alongside evaluation and communication materials.

Written by the indexing model from the issue text.

Description

issue-1

Background

Collaboration between ASU professors Hannah Kerner and Ana Tarano, and Development Seed to investigate if geospatial foundation models can offer an improvement over current cropland monitoring + area estimation for NASA Harvest and FEWS NET

original labs ticket here

Suggested Background Paper Reading:

Goals

Investigate if geospatial foundation models can offer an improvement over current cropland monitoring + area estimation.

Foundation Models to Evaluate: Presto, Olmo Earth, Tessera (based lite embeddings generated April to April).

Geographic Areas: Sudan (2025-2026 growing season), Tigray (historical), Togo (historical + current growing season), test set data in sub saharan Africa regions (Kenya, Malawi, Mali, Rwanda, Tanzania, Togo, Uganda, Zambia)

Methods Mini Summary

  • explore if outputs of geospatial foundation models offer performance gains (in terms of F1), while balancing cost + time to run over baseline
  • areas to explore: embeddings + random forest classification, embeddings + CatBoost, embeddings + fine-tuning

Outputs:

  • github repo with repeatable workflow and tooling for the community (Dev Seed lead)
  • Technical Paper summarizing evaluation (ASU lead)
  • Blog Post summarizing evaluation + tooling built (Dev Seed lead)

Partner and Stakeholders

Partner: ASU - Hannah Kerner, Ana Tarano

Potential Stakeholders: NASA Harvest + FEWS NET

Team

Dev Seed: @martham93 , @lillythomas + other contributors to Dev Seed labs
ASU: Hannah Kerner, Ana Tarano

Milestones

see google doc for details, so its easier to iterate, once we feel good, I'll transfer the mile stones to this issue.

Phase I: Data Generation + Aggregation

Phase II: Tooling Development + Model Comparison

Phase III: Results + Communication

Project Organization

  • slack #asu-devseed-labs-cropland-mapping
  • This repo
  • project board 🚧 - pending milestone creation and then feedback

Documents

Write Ups from Hannah + meeting notes here

cc @zacdezgeo

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Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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