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Environmental Software Systems. Data Science in Action

Overview of attention for book
Cover of 'Environmental Software Systems. Data Science in Action'

Table of Contents

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    Book Overview
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    Chapter 1 Unsupervised Learning of Robust Representations for Change Detection on Sentinel-2 Earth Observation Images
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    Chapter 2 Dietary Intake Assessment: From Traditional Paper-Pencil Questionnaires to Technology-Based Tools
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    Chapter 3 Computational Infrastructure of SoilGrids 2.0
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    Chapter 4 Defining and Classifying Infrastructural Contestation: Towards a Synergy Between Anthropology and Data Science
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    Chapter 5 Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring
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    Chapter 6 CLARITY Screening Service for Climate Hazards, Impacts and Effects of the Adaptation Options
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    Chapter 7 Diet Modelling: Combining Mathematical Programming Models with Data-Driven Methods
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    Chapter 8 AGINFRA PLUS: Running Crop Simulations on the D4Science Distributed e-Infrastructure
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    Chapter 9 Redefining Agricultural Insurance Services Using Earth Observation Data. The Case of Beacon Project
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    Chapter 10 Producing Mid-Season Nitrogen Application Maps for Arable Crops, by Combining Sentinel-2 Satellite Images and Agrometeorological Data in a Decision Support System for Farmers. The Case of NITREOS
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    Chapter 11 Using Virtual Research Environments in Agro-Environmental Research
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    Chapter 12 Can We Use the Relationship Between Within-Field Elevation and NDVI as an Indicator of Drought-Stress?
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    Chapter 13 Predicting Nitrogen Excretion of Dairy Cattle with Machine Learning
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    Chapter 14 Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases
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    Chapter 15 Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applications: The Case for a Bayesian Approach
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    Chapter 16 Machine Learning Algorithms for Food Intelligence: Towards a Method for More Accurate Predictions
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    Chapter 17 Interoperability of Solutions in a Crisis Management Environment Showcased in Trial-Austria
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    Chapter 18 ELFIE - The OGC Environmental Linked Features Interoperability Experiment
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    Chapter 19 Real-Time Visualization of Methane Emission at Commercial Dairy Farms
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    Chapter 20 Design of a Web-Service for Formal Descriptions of Domain-Specific Data
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    Chapter 21 Models in the Cloud: Exploring Next Generation Environmental Software Systems
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    Chapter 22 An Environmental Sensor Data Suite Using the OGC SensorThings API
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    Chapter 23 WISS a Java Continuous Simulation Framework for Agro-Ecological Modelling
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    Chapter 24 Mathematical Estimation of Particulate Air Pollution Levels by Multi-angle Imaging
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    Chapter 25 Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification
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Title
Environmental Software Systems. Data Science in Action
Published by
Springer International Publishing, April 2020
DOI 10.1007/978-3-030-39815-6
ISBNs
978-3-03-039814-9, 978-3-03-039815-6
Editors

Athanasiadis, Ioannis N., Frysinger, Steven P., Schimak, Gerald, Knibbe, Willem Jan

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 32%
Researcher 4 21%
Student > Bachelor 3 16%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 3 16%
Readers by discipline Count As %
Environmental Science 4 21%
Agricultural and Biological Sciences 3 16%
Engineering 2 11%
Economics, Econometrics and Finance 1 5%
Nursing and Health Professions 1 5%
Other 2 11%
Unknown 6 32%