About this Project
Help us to locate invasive plant species by making geo-tagged observations and taking photos to alert us of the spread of habitat-destroying plants!
- Smart Phones. Individuals with GPS-enabled mobile phones can easily contribute to locating invasive species by making geo-tagged observations and taking photos to alert us of the spread of habitat-destroying plants. We have applications for the G1 and iPhone!
- Mobile Phones. Non GPS-enabled phones are also useful for capturing notes and photos (see Instructions: Email), and geolocation can be establshed later through our website (see Instructions: My Data & Photos) help page.
- Email & Web. Email us (with optional photo) with the plant name as the subject to: mobile@whatinvasive.com. Or, log in and go to the My Data page to create a new observation from your computer. Read more on our Instructions: email associations help page.
We are:
- The Center for Embedded Networked Sensing (CENS) at the University of California, Los Angeles. We are developing freely available systems for enabling Citizen Science activities that preserve our natural environment.
- Project team: Patrick Crutcher, Deborah Estrin, Eric Graham, Cameron Ketcham, Olmo Maldonado, Jeff Mascia, Keith Mayoral, Nicolai Munk Petersen, Sasank Reddy, and Eric Yuen.
- The Santa Monica Mountains National Recreation Area. The National Park Service is proud to be taking care of the national parks and helping Americans take care of their communities.
- Project team: Christy Brigham and Susan Teel.
Some of Our Other Projects:
- Biketastic! for documenting good routes and for collecting data to improve them.
- What's Bloomin for recording locations of blooming plants in your neighborhood.
- Garbage Watch Helping UCLA facilities figure out where recycle bins could be added and how we can reduce waste.
This work is funded by:
- A Jim Gray Seed grant from Microsoft Research.
- A recent extension to the NSF-funded FIND (grant #CNS-0627084) to CENS for collaborating with Project BudBurst.
- Support by National Science Foundation (award #0120778) to the CENS.
