Category:Planet API

From Green Policy
Jump to navigation Jump to search

<addthis />


An API for the Planet #PlanetLabs @Open Source Conference

Planet Labs, flying Doves in unprecedented Flocks observing Planet Earth with 'rapid cadence' imaging opening possibilities never before offered

About Planet Labs Documentation Intro

Planet API PlanetLabs 2.png

API connect.jpg

Planet Labs/NYT Planet Labs, newly #ISS deployed Doves Smartphones in space!

Launch of new Flock of Dove Satellites to Image Earth

Doves fly Doves flock

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."

Planet Labs Pulse [1] [2] [3]

Citizens of the Planet -- #PlanetCitizens

Discover Your Planet.png


Geo, Group on Earth Observations

Earth Observation Data [4]

Data Sharing [5]

Geoss portal


National Science and Technology Council / US Group on Earth Observations Council

Value of Earth Observations

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

Ground Truth

NASA/JPL focus on #PlanetEarth

Earth Observing System (ECHO) - Earth Science Data Information Systems API

National Oceanic and Atmospheric Administration - National Environmental Satellite, Data, and Information Service (NESDIS)

NOAA Data Centers

NOAA View Data Exploration Tool


Urthecast s.png


Urthecast APIs

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.


First Light'


"New Space"

Generation 1.0, an era of Micro-satellites and #EarthImaging

#EarthScience from Space


Google Earth Outreach

Rebecca Google Outreach.jpg

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...

○ ○ ○ ○

Community of #PlanetCitizens observing, networking, sharing information, protecting #PlanetEarth...

○ ○ ○ ○

Recent Earth Outreach network extensions include --

Global Fishing Watch and Forest Watch

Join in !

○ ○ ○ ○

Global Fishing Watch Launches

Global Fishing Watch

Global Fishing Watch 2.jpg

○ ○ ○ ○

Global Forest Watch launches - 2014

Google Outreach continues its impact


World Resources Institute Forest Watch

Monitoring the Planet's Forests

Earth Outreach

GreenPolicy at Google+

Thank you Rebecca, #PlanetCitizen

○ ○ ○ ○

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...

○ ○ ○ ○

More APIs for the Planet & Connected Planet Citizens

Global Biodiversity

Global Biodiversity Information, free and open access to biodiversity data - Global Biodiversity / Terms

○ ○ ○ ○

Floating forest of kelp.jpg

Floating Forests

Help with the Kelp, Join in -- be a Be a Planet Citizen, Planet Scientist --

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.”

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.

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!

○ ○ ○ ○

Planet API | #PlanetAPI | Planet Citizen | #PlanetCitizen

GreenPolicy360 | #Earth360 | #EarthImaging | #EarthMonitoring

GP360 | #EarthObservations | #EarthScience | #NewSpace |

○ ○ ○ ○


This category has the following 6 subcategories, out of 6 total.






Media in category "Planet API"

The following 198 files are in this category, out of 198 total.