20 top priorities in 2020 for a digital ecosystem for Earth

First, business as usual isn’t working for global environmental governance. Second, we have not yet fully harnessed digital technologies to address our most pressing global environmental challenges. Third, the digital economy itself is not yet being leveraged for a sustainable future.

RapidEye Constellation To Be Retired In 2020

It’s with mixed sentiments that we share that Planet’s RapidEye constellation will be retired at the end of March 2020. After 11 years of faithfully gathering imagery, it has aged gracefully, to say the least.

Cost of Serverless on Google Cloud: Cloud Run vs Cloud Functions

In some cases the cost of Cloud Run is equivalent to Cloud Functions, but in other scenarios the cost of Cloud Run is less than Cloud Functions.

Manual of Digital Earth

This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is becoming vital for acquiring, processing, analysing and mining the rapidly growing volume of global data sets about the Earth.

Exploring Food Insecurity via Geospatial Data Reveals Critical Local Differences

it is now possible to understand population food secuirty issues at the neighborhood level, even in places where data has been traditionally hard to access.

Ethiopia has launched its first satellite into space

The remote sensing satellite is to be used collect data for agricultural, climate, mining and environmental observations but could also be used for citizen surveillance.

Radiant Earth Foundation Releases Radiant MLHub, the World’s First Open Repository for Geospatial Training Data

Radiant MLHub will accelerate the adoption of machine learning to help solve global development challenges, including food insecurity.

Big Earth Data, Volume 3, Issue 4, December 2019

This new issue contains the following articles:

  • Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product
  • Insights into CODE-DE – Germany’s Copernicus data and exploitation platform
  • On the isolatitude property of the rHEALPix Discrete Global Grid System
  • A generalized supervised classification scheme to produce provincial wetland inventory maps: an application of Google Earth Engine for big geo data processing
  • Identification and temporally-spatial quantification of geomorphic relevant changes by construction projects in loess landscapes: case study Lanzhou City, NW China

Catherine Nakalembe: Enhancing Agricultural Productivity with Earth Observation

As Lead of the NASA Harvest Eastern Africa-Hub program and part of the NASA Harvest and SERVIR Global Applied Science Team, she conducts remote sensing training in the use of EO tools to assess and forecast crop conditions. Her EO capacity building portfolio includes the government ministries in Kenya, Rwanda, Tanzania, Uganda, and Mali, as well as regional agencies such as the Regional Centre For Mapping Resource For Development (RCMRD) and IGAD Climate Prediction and Applications Center.

Landsat big data analysis presented at PTAC Ecological Issues Forum

The Society for Ecosystem Restoration in Northern BC (SERNbc), BC Government, and Hatfield completed a systematic analysis of landscape disturbance and vegetation recovery for four woodland caribous ranges in northeastern BC (more than 33,000 km2). The analysis used the 30-year history of free and open Landsat imagery and innovative disturbance detection and spectral recovery analytics.

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