
Chris and Krishna share big thoughts about the geospatial industry. Chris is a data scientist currently working in weather, but has previously worked at Los Alamos National Lab, The Earth Genome, Gro Intelligence and Demeter Labs. At those places he used earth observation data to solve problems such as crop mapping, yield prediction, change detection etc... Krishna is a data journalist who uses sa... more
| Publishes | Twice monthly | Episodes | 4 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Category | Science | ||||

(00:00) Experimental failures. Krishna won't let Chris forget about his failed SimCLR experiments.
(04:30) Geographic generalization discussion. Husky vs Malamute vs Wellpad.
(11:32) Chris fails to map coconut palm because it's hard. Read the paper... more
Chris and Krishna talk about validation as a practical part of developing geospatial analytics, focussing on their personal experiences mapping oil palm and land cover at scale.
A central theme in throughout this conversation is the use of auxiliar... more
In this episode Chris and Krishna talk a little about their career paths, reply to some questions from listeners about Episode 1 concerning embeddings, and profess their undying love for Google Earth Engine.
Throughout this conversation, a common th... more
Chris and Krishna discuss their experiences working with geospatial embeddings, search and remote sensing in general, and how they think through problems.
Timestamps sustainably sourced and hand crafted.
(0:00) Intro
(2:30) Background, earth obser... more
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