
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 | Monthly | Episodes | 7 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Science | |||

(00:00) Time series, Landtrendr, New Mexico, Cuba. Is medium/low-resolution imagery underrated?
(15:00) Bayesian Deforestation Detection, operation-oriented algorithms and platforms
(27:00) Landtrendr in the West Bank, CCDC
(35:00) Anomalous Chang... more
No pre-prepared discussion subject this time, we just winged it.
(00:00) Imagine useful geospatial models, it's easy if you try.
(08:00) Academic papers, life at the paper mill, distilled .pub for geospatial.
(24:30) Weather data vs earth observat... more
(00:00) Differences between medium-res and high-res worlds: data sizes, off-nadir imaging, co-registration issues
(28:42) High-res SAR/Umbra data detour: building damage estimation in Jamaica, matching imagery up to vector datasets
(34:33) Embeddin... more
(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










Recent interactions between the hosts and their guests.
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Focused on the intricacies of the geospatial industry, the conversation centers around topics such as earth observation, data analysis, and the intersection of technology and environmental issues. The hosts regularly critique the limitations of current geospatial models, while also highlighting advancements in AI tools and the application of weather data in various settings. Episodes often delve into case studies illustrating the practical applications and challenges faced in mapping and analyzing real-world phenomena like deforestation and agricultural practices. Unique insights stem from the hosts' combined experiences in data science and journalism, offering a multifaceted perspective that appeals to listeners interested in environmental... more
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