Introduction to the Special Section on Image Information Mining for Earth Observation Data

2007 ◽  
Vol 45 (4) ◽  
pp. 795-798 ◽  
Author(s):  
Mihai Datcu ◽  
Sergio D'Elia ◽  
Roger King ◽  
Lorenzo Bruzzone
Keyword(s):  
Special Section ◽  
Earth Observation ◽  
Observation Data ◽  
Information Mining ◽  
Image Information ◽  
Earth Observation Data

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

2017 ◽  
Vol 10 (1) ◽  
pp. 29-44 ◽  
Author(s):  
Kuldeep R. Kurte ◽  
Surya S. Durbha ◽  
Roger L. King ◽  
Nicolas H. Younan ◽  
Rangaraju Vatsavai
Keyword(s):  
Earth Observation ◽  
Observation Data ◽  
Information Mining ◽  
Image Information ◽  
Spatial Image ◽  
Earth Observation Data

Object-based image information fusion using multisensor earth observation data over urban areas

2011 ◽  
Vol 2 (2) ◽  
pp. 121-147 ◽  
Author(s):  
Michael Wurm ◽  
Hannes Taubenböck ◽  
Mathias Schardt ◽  
Thomas Esch ◽  
Stefan Dech
Keyword(s):  
Information Fusion ◽  
Urban Areas ◽  
Earth Observation ◽  
Observation Data ◽  
Image Information ◽  
Object Based ◽  
Earth Observation Data

scholarly journals Special Section Guest Editorial: Improved Intercalibration of Earth Observation Data

2018 ◽  
Vol 12 (01) ◽  
pp. 1
Author(s):  
Craig A. Coburn ◽  
Aaron Gerace
Keyword(s):  
Guest Editorial ◽  
Special Section ◽  
Earth Observation ◽  
Observation Data ◽  
Earth Observation Data

Our goal is to establish the earth observation data in the business world Unser Ziel ist es, die Erdbeobachtungsdaten in der Geschäftswelt zu etablieren

GIS Business ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 12-14
Author(s):  
Eicher, A
Keyword(s):  
Earth Observation ◽  
Observation Data ◽  
Business World ◽  
The Earth ◽  
Earth Observation Data

Our goal is to establish the earth observation data in the business world Unser Ziel ist es, die Erdbeobachtungsdaten in der Geschäftswelt zu etablieren

Mapping slums and model population density using earth observation data and open source solutions

2019 ◽  
Author(s):  
Tais Grippa ◽  
Stefanos Georganos ◽  
Sabine Vanhuysse ◽  
Moritz Lennert ◽  
Nicholus Mboga ◽  
...  
Keyword(s):  
Population Density ◽  
Open Source ◽  
Earth Observation ◽  
Observation Data ◽  
Model Population ◽  
Earth Observation Data

scholarly journals Examining the Economic and Environmental Impacts of COVID-19 Using Earth Observation Data

2020 ◽  
Vol 13 (1) ◽  
pp. 5
Author(s):  
William Straka ◽  
Shobha Kondragunta ◽  
Zigang Wei ◽  
Hai Zhang ◽  
Steven D. Miller ◽  
...  
Keyword(s):  
Air Quality ◽  
Los Angeles ◽  
Environmental Impacts ◽  
Demographic Data ◽  
The United States ◽  
Earth Observation ◽  
Observation Data ◽  
Washington Dc ◽  
Mobility Data ◽  
Earth Observation Data

The COVID-19 pandemic has infected almost 73 million people and is responsible for over 1.63 million fatalities worldwide since early December 2019, when it was first reported in Wuhan, China. In the early stages of the pandemic, social distancing measures, such as lockdown restrictions, were applied in a non-uniform way across the world to reduce the spread of the virus. While such restrictions contributed to flattening the curve in places like Italy, Germany, and South Korea, it plunged the economy in the United States to a level of recession not seen since WWII, while also improving air quality due to the reduced mobility. Using daily Earth observation data (Day/Night Band (DNB) from the National Oceanic and Atmospheric Administration Suomi-NPP and NO2 measurements from the TROPOspheric Monitoring Instrument TROPOMI) along with monthly averaged cell phone derived mobility data, we examined the economic and environmental impacts of lockdowns in Los Angeles, California; Chicago, Illinois; Washington DC from February to April 2020—encompassing the most profound shutdown measures taken in the U.S. The preliminary analysis revealed that the reduction in mobility involved two major observable impacts: (i) improved air quality (a reduction in NO2 and PM2.5 concentration), but (ii) reduced economic activity (a decrease in energy consumption as measured by the radiance from the DNB data) that impacted on gross domestic product, poverty levels, and the unemployment rate. With the continuing rise of COVID-19 cases and declining economic conditions, such knowledge can be combined with unemployment and demographic data to develop policies and strategies for the safe reopening of the economy while preserving our environment and protecting vulnerable populations susceptible to COVID-19 infection.

scholarly journals 2nd Edition of Instrumenting Smart City Applications with Big Sensing and Earth Observatory Data: Tools, Methods and Techniques

2021 ◽  
Vol 13 (7) ◽  
pp. 1310
Author(s):  
Gabriele Bitelli ◽  
Emanuele Mandanici
Keyword(s):  
High Resolution ◽  
Exponential Growth ◽  
Smart City ◽  
Earth Observation ◽  
Urban Environments ◽  
Observation Data ◽  
High Resolution Imagery ◽  
Observatory Data ◽  
Methods And Techniques ◽  
Earth Observation Data

The exponential growth in the volume of Earth observation data and the increasing quality and availability of high-resolution imagery are increasingly making more applications possible in urban environments [...]

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