ITC
Implement design principles learned in lecture
Build upon knowledge and data from previous assignments
Vanacker (2016) Impact of deforestation on slope stability
Temporal Resolution: Revisit Every 5 days
From Sentinel 2
Date of image: 22 Feb 2017
Spatial Resolution:
Each pixel represents 20 m
2325 columns
2960 rows of pixels
Active Sensor
Passive Sensor
1 m resolution!
Features on the Earth reflect, absorb, transmit, and emit electromagnetic energy from the sun.
Multispectral imagery
wavelength, fequency, amplitude
Bands and spectral ranges
3 bands projected light
The primary colors are Red, Green, Blue
= Band 4 Red
= Band 3 Green
= Band 2 Blue
Urban=Purple
= Band 12 SWIR II
= Band 11 SWIR I
= Band 4 Red
= Band 8 NIR
= Band 4 Blue
= Band 3 Red
Bands and spectral signatures
Normalized Difference Vegetation Index
NDVI=NIR-IR/NIR+IR
Sentinel-1 images track the major flooding in Kerala during the 2018 monsoon season
Land use change:
Malakal refugee camp in South Sudan
Digital Globe
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.
McSweeney (2017) Cocaine trafficking is destroying Central Americ's forests
// 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
and how it was made https://bit.ly/2OfnkZu
not a great example!
•https://pro.arcgis.com/en/pro-app/help/mapping/layer-properties/extrude-features-to-3d-symbology.htm
Animation https://pro.arcgis.com/en/pro-app/help/mapping/animation/overview-of-animation.htm
How are they useful for land use change monitoring?
Do you think you achieved your goal? why or why not?