Ideas
First...
Tell me about you...
What are your research ideas for this course?
Outline
- Present the Problems
- Disasters --> Climate Change --> Emissions
- Small Island Developing States (SIDS)
- Tools to monitor the problems
- Data Sources
- Media - Scale - Imagery
- Dasymetric mapping
- more ideas for projects
Present the Problem
- Disasters --> Climate Change --> Emissions
Disasters
Climate Change
Emissions
Positive Feedback
Disaster Cycle
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DATA PREPAREDNESS
AS
DISASTER PREPAREDNESS
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Disaster and Land Use
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Maps can help reduce complexity
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Vanacker (2016) Impact of deforestation on slope stability
Small Island Developing States (SIDS)
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Environmentally vulnerable
- coastline exposure relative to their geographic size
- isolation from neighboring populations
- small size of their population, high costs per capita for infrastructure and services
- Tourism
- Invisibility on the map
You pick a problem that interest you!
Geographic Information Systems(GIS)
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Data Types
Vector
Raster
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Vector Data
Geographic Information Systems (GIS)
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Epistemology
Positionality
Reflexivity
and their influence
on how we process data and create visualizations
Remote Sensing
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Basics of
Remote Sensing
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True Color
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Details
From Sentinel 2
Date of image: 22 Feb 2017
Spatial Resolution:
Each pixel represents 20 m
2325 columns
2960 rows of pixels
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Sentinel 2
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Active Sensor
Passive Sensor
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Lidar
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1 m resolution!
Electromagnetic Energy
Features on the Earth reflect, absorb, transmit, and emit electromagnetic energy from the sun.
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Properties of electromagnetic energy
Multispectral imagery
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wavelength, fequency, amplitude
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The visible spectrum is small!
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What else is collected?
Bands and spectral ranges
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Spectral signature
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How are images rendered on our screen?
3 bands projected light
The primary colors are Red, Green, Blue
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True Color
= Band 4 Red
= Band 3 Green
= Band 2 Blue
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False Color Composites
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Urban areas
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Urban=Purple
= Band 12 SWIR II
= Band 11 SWIR I
= Band 4 Red
Vegetation
= Band 8 NIR
= Band 4 Blue
= Band 3 Red
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Spectral signature
Bands and spectral signatures
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Healthy vegetation
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Normalized Difference Vegetation Index
NDVI=NIR-IR/NIR+IR
Classification
Supervised & Unsupervised
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Animation
Animation
Slider
Sentinel-1 images track the major flooding in Kerala during the 2018 monsoon season
Slider
Land use change:
Malakal refugee camp in South Sudan
Digital Globe
Everything is spatial
Where it happened is critical to know to figure out why and how it happened
Dashboards = Power
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SDG linked to Paris Agreement
International Efforts
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Open Data
European Environmental Agency data and links
https://ourworldindata.org/grapher/total-oda-for-water-supply-and-sanitation-by-recipient
Barriers to working with open data
https://ourworldindata.org/grapher/proportion-using-safely-managed-drinking-water
Big Data and
CyberGIS
Cloud Computing
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valuable for information dissemination
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faster and more data processing that was not previously possible
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data access
Google Earth Engine
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Cloud-based platform for geospatial analysis
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Access over 40 years of satellite imagery
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Upload own data sets to integrate with publicly available data
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Apply range of common algorithms to data
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Export images, tables, charts, map outputs
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Hansen et al (2013)
High-Resolution Global Maps of 21st-Century Forest Cover Change, Science
15 Nov. Vol. 342, Issue 6160, pp. 850-853 DOI: 10.1126/science.1244693.
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McSweeney (2017) Cocaine trafficking is destroying Central Americ's forests
Title Text
// Load Sentinel-2 TOA reflectance data.
var dataset = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2018-01-01', '2018-12-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//true color
var rgbVis = {
min: 0.0,
max: 2500,
bands: ['B4', 'B3', 'B2'],
};
//urban visualization
var urbanVis = {
min: 0.0,
max: 2500,
bands: ['B12', 'B11', 'B4'],
};
//Agriculture visualization
var agVis = {
min: 0.0,
max: 2500,
bands: ['B11', 'B8', 'B2'],
};
//Healthy vegitation visualization
var VegVis = {
min: 0.0,
max: 2500,
bands: ['B8', 'B11', 'B2'],
};
//Land Water visualization
var WaterVis = {
min: 0.0,
max: 2500,
bands: ['B8', 'B11', 'B4'],
};
//Utrecht
Map.setCenter(5.104480, 52.092876, 11);
//different layers
Map.addLayer(dataset.median(), rgbVis, 'RGB');
Map.addLayer(dataset.median(), urbanVis, 'Urban');
Map.addLayer(dataset.median(), agVis, 'Agriculture');
Map.addLayer(dataset.median(), VegVis, 'Vegitation');
Map.addLayer(dataset.median(), WaterVis, 'Water');
//END
Modeling the Future
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Dasymetric Map
Spatial Media
Imagery
Scale (Maps to VR)
Pick the problem
What is your communication Goal?
What do you hope to find?
What data are available?
Ideas
- Story Map
- Anything related to the SDGs
- Covid 19 linked to biodiversity...inequity...
- Using GEE: Measure emissions globally (or locally in India or for example) since COVID-19 to SDGS?
Thank you!
Questions?
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GSS_ideas_for_Projects_with_me
By Britta Ricker
GSS_ideas_for_Projects_with_me
pitch deck
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