Articles

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.

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.

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

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

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.

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.

“In a new report, @richardjpope provides practical guidance for developing cross-government platforms, a way to break down organizational silos, save money, and change the types of services that can be delivered to the public

This Special Issue is consequently aiming to cover the most recent advances in Earth Observation Data Cube developments and implementations

Budget increases pave the way for next generation of Earth-observing Sentinel satellites