Earth Imaging Journal: Remote Sensing, Satellite Images, Satellite Imagery
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October 22, 2015

Study Shows that Tree Planting Alone May Not Significantly Offset Urban Carbon Emissions

Around the world, from small towns to the biggest cities, civic soldiers in the battle against global warming are striving to cut carbon emissions. One oft-used strategy is to plant more trees, which suck up carbon dioxide, a major greenhouse gas. But does adding more oaks and maples make a dent in urban carbon-reduction goals? How

October 16, 2015

EarthDefine Maps High Resolution Tree Cover for New Jersey and Virginia

ISSAQUAH, Wash., Oct. 15, 2015—EarthDefine, a provider of high-resolution spatial data products, has mapped trees in New Jersey and Virginia in unprecedented detail. The new 1 meter resolution New Jersey and Virginia SpatialCover Tree Canopy datasets provide the most accurate and spatially explicit data source on tree cover in these states. The New Jersey and

June 10, 2015

Bluesky National Tree Map Supports Research into Sewer Damage

Leicestershire, UK, June 10, 2015—An aerial map of trees is helping scientists to understand the damage caused to underground drains and sewers by tree roots. Using the Bluesky UK National Tree Map, which details the location, height and canopy cover of more than 280 million trees, scientists at Cranfield University are analysing how the proximity of

November 24, 2014

3D Laser Mapping Scanner Helps UCL Scientists Map Trees

Nottingham, UK, Nov. 24, 2014—A state of the art laser scanner purchased from 3D Laser Mapping is helping scientists at University College London accurately monitor and record the state of forests around the world. The college’s Riegl VZ-400, already deployed in the UK, Australia and Africa, is being used to help characterise the state of trees,

September 30, 2014

Global Mapper LiDAR Module Released with Feature Extraction to Create 3D Buildings and Trees

HALLOWELL, Me., Sept. 30, 2014—Blue Marble Geographics is pleased to announce the release of the LiDAR Module for Global Mapper version 16. This major upgrade includes the ability to quickly identify and classify building and vegetation points in unclassified LiDAR data, a new tool to automate the feature extraction process for creating 3D vector buildings