Planet API
- New Ways to See and Experience Planet Earth
#PlanetLabs' API @the Open Source Conference
About Planet Labs Documentation Intro
February 5, 2015 - Private Spending on Space Is Headed for a New Record - Space Race 2.0 #NewSpace
Planet Labs has raised more than $160 million and launched 73 global imaging satellites. The growth was hard to imagine three years ago, when co-founder Will Marshall built the first of the miniature satellites nicknamed “doves” in a Silicon Valley garage.
“A lot of people were very skeptical, and what we were trying to do seemed ludicrous,” said Marshall, a former engineer at NASA Ames Research Center in Mountain View, California. “But we have assets in orbit, and customers who are very interested in the data. Every time we take a picture, we can see how the world is changing.” -- Bloomberg
Planet Labs, flying Doves unprecedented, observing Planet Earth with 'rapid cadence' imaging opening possibilities never before offered
Connect
Planet Labs/NYT Planet Labs, newly #ISS deployed Doves Smartphones in space!
Launch of new Flock of Dove Satellites to Image Earth
Planet Labs 'Dove' micro-satellites
New York Times / "Rapid cadence imagery, like Planet Labs is developing, helps us become better, more sustainable stewards of Earth."
Citizens of the Planet -- #PlanetCitizens
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Geo, Group on Earth Observations
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National Science and Technology Council / US Group on Earth Observations Council
The Federal Government invests more than $3 billion in civil Earth observations and data annually across multiple agencies, and leverages investments made by State, local and tribal governments, academia and industry...
The NASA OpenNEX Challenge to the Public -- Join In, Our Data is Yours
NASA/JPL focus on #PlanetEarth
Earth Observing System (ECHO) - Earth Science Data Information Systems API
NOAA View Data Exploration Tool
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Urthecast
Live views of #PlanetEarth from the #ISS
UrtheCast -- developing the world’s first Ultra HD video feed of Earth, streamed in full color from cameras on the International Space Station.
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- "New Space"
Generation 1.0, an era of Micro-satellites and #EarthImaging
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Google Earth Outreach
Google Earth Engine & Outreach
Google Earth Engine is an online environment monitoring platform that makes available to the entire world a dynamic digital model of our planet that is updated daily.
The Google Earth Outreach Engine stores petabytes of satellite data and allows high-performance tools to analyze and interpret this information that can then be visualized on a map...
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Community of #PlanetCitizens observing, networking, sharing information, protecting #PlanetEarth...
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Recent Earth Outreach network extensions include --
Global Fishing Watch and Forest Watch
Join in !
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Global Forest Watch launches - 2014
Google Outreach continues its impact
World Resources Institute Forest Watch
Monitoring the Planet's Forests
Thank you Rebecca, #PlanetCitizen
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Dec 2014 News re: Google Earth API
Google promises expansion of Google Earth to other 3D mapping products after Dec 2015. As to what, and when, we'll wait and see...
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More APIs for the Planet & Connected Planet Citizens
Global Biodiversity Information, free and open access to biodiversity data - Global Biodiversity / Terms
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- Floating Forests
Help with the Kelp, Join in -- be a Be a Planet Citizen, Planet Scientist -- http://www.floatingforests.org/
Floating Forests - Earth Observatory/NASA-Landsat
Origin of Floating Forests Project
Planet Citizen, Planet Scientist
Kyle Cavanaugh had an idea. “These forests change so rapidly and on a variety of different time scales—months to years to decades—so we needed a long record with consistent, repeated observations,” Cavanaugh said. He devised a method to use Landsat satellite data to monitor kelp forests.
A few things made Landsat an obvious resource. Since the 1970s, the satellites have had a regular collection schedule (twice monthly). Their data and images are managed by the U.S. Geological Survey and are reliably stored in an archive that dates back more than forty years. And Landsat’s images are calibrated, or standardized, across different generations of satellites, making it possible to compare data collected across several decades...
Landsat measures the energy reflected and emitted from Earth at many different wavelengths. By knowing how features on Earth reflect or absorb energy at certain wavelengths, scientists can map and measure changes to the surface. The most important feature for the kelp researchers is Landsat’s near-infrared band, which measures wavelengths of light that are just outside our visual range. Healthy vegetation strongly reflects near-infrared energy, so this band is often used in plant studies. Also, water absorbs a lot of near-infrared energy and reflects little, making the band particularly good for mapping boundaries between land and water.
“The near-infrared is key for identifying kelp from surrounding water,” Cavanaugh explained. “Like other types of photosynthesizing vegetation, giant kelp have high reflectance in the near infrared. This makes the kelp canopy really stand out from the surrounding water.”
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After a recent meeting on kelp forests and climate change, researchers Byrnes, Cavanaugh, and other colleagues set out to consolidate all of the available kelp forest data from around the world. They wanted to take a step toward understanding how climate change is affecting kelp globally, but they quickly discovered they had a sparse patchwork of information.
Byrnes was struck with a thought. They had used Landsat to expand their studies across time, so why not use Landsat to expand their studies around the world? Could Landsat be used to establish global trends in kelp forest extent? The answer was yes, but the problem was eyeballs.
Unlike research on terrestrial vegetation—which uses Landsat data and powerful computer processing arrays to make worldwide calculations—distinguishing kelp forests requires manual interpretation. While kelp forests pop out to the human eye in near-infrared imagery, computers looking at the data numerically can confuse kelp patches with land vegetation. Programs and coded logic that separate aquatic vegetation from land vegetation can be confounded by things like clouds, sunglint, and sea foam...
"Automated classification methods just don’t produce acceptable levels of accuracy..."
Byrnes and Cavanaugh put together a science team and joined with Zooniverse, a group that connects professional scientists with citizen scientists in order to help analyze large amounts of data. The result was the Floating Forests project.
https://www.zooniverse.org/#climate
https://www.zooniverse.org/#nature
The Floating Forest concept is all about getting more eyeballs on Landsat imagery. Citizen scientists—recruited via the Internet—are instructed in how to hunt for giant kelp in satellite imagery. They are then given Landsat images and asked to outline any giant kelp patches that they find. Their findings are crosschecked with those from other citizen scientists and then passed to the science team for verification. The size and location of these forests are catalogued and used to study global kelp trends.
Join in!
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- Citizen Science
Citizen Science by Planet Citizens
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Planet API | #PlanetAPI | Planet Citizen | #PlanetCitizen
GreenPolicy360 | #Earth360 | #EarthImaging | #EarthMonitoring
GP360 | #EarthObservations | #EarthScience | #NewSpace
www.planetcitizen.org | www.earthpov.com
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- Your Mission if You Choose to Go
Democratising access to information about Planet Earth... Planet Labs brings home the data
Be one of the first ever on our voyage over time to show you're an Earth-wise #PlanetCitizen