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Earthsight

cr458
Earth Observation
Machine Learning
Oil Palm
Earth Engine
Remote Sensing
Data Science
Change Detection
Sentinel-2
Landsat
NDVI
Geoai
Indonesia
Malaysia
Validation
Descartes Labs
Data Validation
Vegetation Mapping
Embedding Fields
Geospatial Data
Expert Embeddings

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

PublishesMonthlyEpisodes5Founded3 months ago
Number of ListenersCategory
Science

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Latest Episodes

(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

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Hosts

Chris
Co-host and data scientist specializing in weather and geospatial analysis, with experience using earth observation data for applications like crop mapping and yield prediction.
Krishna
Co-host and data journalist specializing in satellite imagery with a background in teaching and experience in notable geospatial firms.

Chart Rankings

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Apple Podcasts
#241
Norway/Science

Talking Points

Recent interactions between the hosts and their guests.

Krishna talks high-resolution imagery, Chris asks questions
Q: So how did you go about solving these problems?
A lot of pair-wise analysis and visual manual adjustments were used for alignment of high-resolution images.
Krishna talks high-resolution imagery, Chris asks questions
Q: What do you think of as high res?
Sub one meter is what I consider to be a useful high res.
Geospatial Platforms, Career Paths, Questions from Ep 1.
Q: What were some of the applications where concatenating before and after vectors worked well?
Concatenating before and after vectors effectively captured changes like new KFOs and mining activity in the Amazon, allowing you to identify changes in land use.
Geospatial Platforms, Career Paths, Questions from Ep 1.
Q: Can you expand more on how you generated what you call the expert embeddings one without any machine learning?
The expert embeddings are generated by picking reducers that capture relevant temporal information from a time stack of imagery, and applying similar techniques spatially for different tiles.
Geospatial Platforms, Career Paths, Questions from Ep 1.
Q: What do you think a platform should have in terms of features, and what do you think it should enable a person to do?
The platform should prioritize scale, ease of use with low cognitive burden, and the ability to handle both spatial and temporal datasets effectively.

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Frequently Asked Questions About Earthsight

What is Earthsight about and what kind of topics does it cover?

A rich exploration of the geospatial industry unfolds through engaging discussions that integrate data science with practical applications. The hosts bring forth their expertise in using satellite imagery and earth observation data, covering a wide spectrum of topics such as crop mapping, change detection, and the complexities involved in geospatial modeling. They reflect on challenges faced in these sectors, including issues surrounding validation and problem selection, while drawing on personal experiences that illustrate the balance of technical and practical aspects in their work. The podcast is notable for its emphasis on real-world applications of geospatial data and the exploration of scientific methodologies, making it a unique reso... more

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Earthsight launched 3 months ago and published 5 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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