scholarly journals User needs and assessing the impact of low latency NASA Earth observation data availability on societal benefit

Space Policy ◽  
2014 ◽  
Vol 30 (3) ◽  
pp. 135-137 ◽  
Author(s):  
Molly E. Brown ◽  
Mark L. Carroll ◽  
Vanessa M. Escobar
Keyword(s):  
Earth Observation ◽  
Data Availability ◽  
Low Latency ◽  
User Needs ◽  
Observation Data ◽  
Societal Benefit ◽  
Earth Observation Data ◽  
The Impact

MAAP: The Mission Algorithm and Analysis Platform: A New Virtual and Collaborative Environment for the Scientific Community

2020 ◽  
Author(s):  
Clement Albinet ◽  
Sebastien Nouvellon ◽  
Björn Frommknecht ◽  
Roger Rutakaza ◽  
Sandrine Daniel ◽  
...  
Keyword(s):  
Scientific Community ◽  
Forest Biomass ◽  
Data Access ◽  
Earth Observation ◽  
Observation Data ◽  
Societal Benefit ◽  
Collaborative Environment ◽  
Earth Observation Data ◽  
Earth Observation Satellites ◽  
Analysis Platform

<p>The ESA-NASA multi-Mission Algorithm and Analysis Platform (MAAP) is dedicated to the BIOMASS [1], NISAR [2] and GEDI [3] missions. This analysis platform will be a virtual open and collaborative environment. The main goal is to bring together data centres (Earth Observation and non-Earth Observation data), computing resources and hosted processing in order to better address the needs of scientists and federate the scientific community.</p><p>The MAAP will provide functions to access data and metadata from different sources such as Earth observation satellites data from science missions; visualisation functions to display the results of the system processing (trends, graphs, maps ...) and results of statistic and analysis tools; collaborative functions to share data, algorithms, ideas between the MAAP users; processing functions including development environments and an orchestration system allowing to create and run processing chains from official algorithms.</p><p>Currently, the MAAP is in its pilot phase. The architecture for the MAAP pilot foresees two independent elements, one developed by ESA, one developed by NASA, unified by a common user entry point. Both elements will be deployed on Cloud infrastructures. Interoperability between the elements is envisaged for data discovery, data access and identity and access management.</p><p>The ESA element architecture is based on technical solutions including: Microservices, Docker images, Kubernetes; Cloud-based virtual development environments (such as Jupyter or Eclipse CHE) for the MAAP algorithm developers; a framework to create, run and monitor chains of algorithms containerised as docker images. Interoperability between both ESA and NASA elements will be based on CMR (NASA Common Metadata Repository), services bases on OGC standards (such as WMS/WMTS, WCS and WPS) and secured with the OAUTH2 protocol.</p><p>This presentation focuses on the pilot platform and how interoperability between the NASA and ESA elements will be achieved. It also gives insight into the architecture of the ESA element and the technical implementation of this virtual environment. Finally, it will present the very first achievements and return of experience of the pilot platform.</p><p> </p><p><strong>REFERENCES</strong></p><p>[1] T. Le Toan, S. Quegan, M. Davidson, H. Balzter, P. Paillou, K. Papathanassiou, S. Plummer, F. Rocca, S. Saatchi, H. Shugart and L. Ulander, “The BIOMASS Mission: Mapping global forest biomass to better understand the terrestrial carbon cycle”, Remote Sensing of Environment, Vol. 115, No. 11, pp. 2850-2860, June 2011.</p><p>[2] P.A. Rosen, S. Hensley, S. Shaffer, L. Veilleux, M. Chakraborty, T. Misra, R. Bhan, V. Raju Sagi and R. Satish, "The NASA-ISRO SAR mission - An international space partnership for science and societal benefit", IEEE Radar Conference (RadarCon), pp. 1610-1613, 10-15 May 2015.</p><p>[3] https://science.nasa.gov/missions/gedi</p>

scholarly journals Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data

Land ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 133 ◽  
Author(s):  
Emmanouil Psomiadis ◽  
Andreas Papazachariou ◽  
Konstantinos Soulis ◽  
Despoina-Simoni Alexiou ◽  
Ioannis Charalampopoulos
Keyword(s):  
Landslide Susceptibility ◽  
Geospatial Analysis ◽  
Earth Observation ◽  
Anthropogenic Factors ◽  
Landsat 8 ◽  
Observation Data ◽  
Crete Island ◽  
Earth Observation Data ◽  
Landslide Susceptibility Index ◽  
The Impact

The western part of Crete Island has undergone serious landslide events in the past. The intense rainfalls that took place in the September 2018 to February 2019 period provoked extensive landslide events at the northern part of Chania prefecture, along the motorway A90. Geospatial analysis methods and earth observation data were utilized to investigate the impact of the various physical and anthropogenic factors on landslides and to evaluate landslide susceptibility. The landslide inventory map was created based on literature, aerial photo analysis, satellite images, and field surveys. A very high-resolution Digital Elevation Model (DEM) and land cover map was produced from a dense point cloud and Earth Observation data (Landsat 8), accordingly. Sentinel-2 data were used for the detection of the recent landslide events and offered suitable information for two of them. Eight triggering factors were selected and manipulated in a GIS-based environment. A semi-quantitative method of Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC) was applied to evaluate the landslide susceptibility index (LSI) both for Chania prefecture and the motorway A90 in Chania. The validation of the two LSI maps provided accurate results and, in addition, several susceptible points with high landslide hazards along the motorway A90 were detected.

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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