Chin Lakes, Alberta Jun 06, 2015

Convolutional Neural Networks used to Detect and Classify Ships in Dove Imagery

With daily imagery over ports and coastlines, one of the most useful potential applications of Planet’s Dove imagery is the detection and classification of maritime vessels. Ship tracking has a vital role in security, but the enormous number of ships…...


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Planet Publications

Tracking the scientific discoveries made by Planet's Education and Research community

paper

Sowing Date Detection with the Planet Dove Constellation

The date of sowing (or planting) of an agricultural field has an enormous influence over crop health and yield. With climate change, in many cases alteration of sowing dates may be critical for adapting to changing temperature and precipitation. Sowing…

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blog

Structure-from-motion with SkySat Video

Unique among commercial sensors, the SkySats are capable of full-motion, panchromatic video from space. Ramon Arrowsmith, professor of Geology at Arizona State University decomposed one SkySat video to produce 3D models. As Ramon notes in his Active Tectonics Blog, SkySat…

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features

Stanford Students Deploy Deep Learning with Planet Imagery

As Planet's Education and Research Community continues to grow, students are increasingly working with Planet imagery in college courses. At Stanford University, several students recently utilized Planet imagery in Computer Science 230: Deep Learning. Ian Avery Bick, Dennis Wang and…

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NOW, YOU CAN ACCESS DAILY, HIGH RESOLUTION IMAGERY ANYWHERE IN THE WORLD TO POWER YOUR NEXT BREAKTHROUGH.

paper

Change Detection in 3D: Generating Digital Elevation Models from Dove Imagery

Many communities live in mountainous or glaciated terrain, with a constant threat of landslides and avalanches. Remote sensing methods, including construction of digital elevation models (DEMs), have the potential to detect deformation of the Earth’s surface—not only horizontally, but also vertically. While active sensors like radar are excellent for detecting this 3D […]

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paper

Daily, High-resolution Leaf Area Index from Sensor Fusion with Planet, Landsat and MODIS

Classic remote sensing for agricultural relies heavily on indices like NDVI (Normalized Differential Vegetation Index), which uses information from the red and near-infrared portions of the spectrum to provide an indicator of vegetation greenness and vitality. However, other indices, often implicating other parts of the spectrum, may provided added and actionable information […]

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paper

Charting Karst Topography in the Black Hills Region of South Dakota and Wyoming

Straddling the South Dakota-Wyoming border, the Black Hills region is characterized by karst features—caves, sinkholes and other landforms created as water erodes dolomite and limestone deposits. Given the importance of water in creating karst formations, climate change has the potential to alter karst intensity. Barbara Theilen-Willige, Professor at Technical University Berlin, used […]

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paper

SkySat-3 Demonstrates Asteroid Imaging

The proliferation of small satellites may make it easier to track near-Earth objects—asteroids and other potentially hazardous objects that could impact our Planet. In collaboration with Planet, Chengxing Zhai and team utilized SkySat-3 to demonstrate imaging of the main belt asteroid, 889 Erynia, and near-Earth oject 1998YP11. From January through April of 2017, SkySat-3 […]

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paper

Shoreline Changes in RapidEye Time Series of Pecém Port, Ceará, Brazil

Shoreline geomorphology is the result of natural forces including tidal action and storm activity, as well as anthropogenic changes to coastal infrastructure that can alter shoreline evolution and stability. High temporal- and spatial-resolution imagery can increase our understanding of the mechanisms that lead to these changes, and determine the influence of human […]

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