California
Welcome to /c/California, an online haven that brings to life the unrivaled diversity and vibrancy of California! This engaging community offers a virtual exploration of the Golden State, taking you from the stunning Pacific coastline to the rugged Sierra Nevada, and every town, city, and landmark in between. Discover California's world-class wineries, stunning national parks, innovative tech scene, robust agricultural heartland, and culturally diverse metropolises.
Discussions span a wide range of topics—from travel tips and restaurant recommendations to local politics and environmental issues. Whether you're a lifelong resident, a recent transplant, or planning your dream visit, /c/California is your one-stop place to share experiences, ask questions, and celebrate all the things that make California truly unique.
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Nearby Communities:
- California
- Bakersfield, CA
- Bay Area, CA
- Burbank, CA
- Fresno, CA
- Long Beach, CA
- Los Angeles, CA
- Oakland, CA
- San Diego, CA
- San Jose, CA
- San Francisco, CA
- Sacramento, CA
- Santa Clarita, CA
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I've been in the field of remote sensing since around the year 2000. Remote sensing data is used for literally anything you can think of. I started in sonar, but moved on to lidar and imagery (satellite and aerial), and some hyperspectral. If you want to build a highway, you fly lidar. If you want to build a building, you'll use lidar. If you want to know where flooding will happen, guess what? Lidar. Plant health? Lidar or imagery, or hyperspec. Land cover? Lidar or imagery.
I've worked at pretty much every position in the stack, from field operator to senior scientist. My work these days focuses mostly on wildfire risk, carbon forestry, land cover, and outdoor water use.
Edit: And as far as buying data? Sure. No problem. But its not cheap. I got a quote for a client two weeks ago that was a 240 acre site and it was going to cost ~20k. This was for a very high resolution dataset, with a fair amount of processing.
https://en.wikipedia.org/wiki/Remote_sensing