John Hogland
Employers on the program
- 2025Rocky Mountain Research Station2 talks
Appearances by year
- FOSS4G North America
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 3, 2025 | FOSS4G North America 2025 | FOSS4G North America | speaker | Convolution PCA: Engineering independent intensity and texture features as Rocky Mountain Research Station Raster texture is an important attribute for sample design and raster-based classification, regression, and clustering. | |
| Nov 3, 2025 | FOSS4G North America 2025 | FOSS4G North America | workshop | Environment setup and predictive modeling workshop as Rocky Mountain Research Station In this workshop we will explore how to set up a geospatial data science environment, use that environment to create a well spread and balanced sample, and…Show lessIn this workshop we will explore how to set up a geospatial data science environment, use that environment to create a well spread and balanced sample, and estimate canopy cover from data derived from STAC, OSM, and REST services. | |
| Sep 9, 2024 | FOSS4G North America 2024 | FOSS4G North America | workshop | Environment setup and predictive modelingIn this workshop we will explore how to set up a geospatial data science environment, use that environment to create a well spread and balanced sample, and…Show lessIn this workshop we will explore how to set up a geospatial data science environment, use that environment to create a well spread and balanced sample, and estimate canopy cover from data derived from STAC, OSM, and REST services. | |
| Sep 9, 2024 | FOSS4G North America 2024 | FOSS4G North America | speaker | Transforming data into useful information for natural resource decision makingRaster Tools easily scales across various hardware configurations and lowers the barriers for parallel processing for spatial, statistical, and machine learning…Show lessRaster Tools easily scales across various hardware configurations and lowers the barriers for parallel processing for spatial, statistical, and machine learning procedures; further advancing researchers’ and practitioners’ abilities to transform data into useful information for d… |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Adeel Hassan | 2 | — | 2025 |
| Alex Mandel | 2 | — | 2025 |
| Andrea Aime | 2 | — | 2025 |
| Christopher Tucker | 2 | — | 2025 |
| Chuck Daniels | 2 | — | 2025 |
| Corey White | 2 | — | 2025 |
| Dan Baston | 2 | — | 2025 |
| Garrett Tate | 2 | — | 2025 |
| Giovanni Allegri | 2 | — | 2025 |
| Huidae Cho | 2 | — | 2025 |
| Isaac Brodsky | 2 | — | 2025 |
| Jason Gilman | 2 | — | 2025 |
| Joseph Miller | 2 | — | 2025 |
| Lauren Frederick | 2 | — | 2025 |
| Leo Hsu | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.