GIMA: Geographical Information Management and Applications · Introduction Remote Sensing GIMA:...

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Introduction Remote Sensing

GIMA: Geographical Information Managementand Applications

Electromagnetic (EM) spectrum

Remote sensing platforms

Remote sensing ≡ Earth observation

RS is a tool; one of the sources of information !Field

Sensor ata distance

EM radiation

Satellite image flooding the Netherlands:Rhine & Waal rivers on 8 January 2018

Satellite image flooding the Netherlands:Red are flooded areas

Satellite image Terschelling 26 May 2018

6

Drought effect Terschelling 15 July 2018

7

July 2017 was the hottest month on record

GIS Geographical Information System

Well-considered combination of mutually referring data sets of various kinds of position-bound thematic data(database), software inclusive

Requirement:the information layersmatch geometrically

==> OVERLAY STRUCTURE

1. topography2. soils3. geology4. precipitation5. land cover6. vegetation7. remote sensing data8. surface temperature9. hydrology10. population11. nature conservation12. environment13. digital terrain model14. topographical map15. -------------------16. -------------------17. -------------------

rasterdata

GIS file: field data(point measurements)

vectordata

Meteosat: meteorological satellite

Meteosat image of Europe

http://www.sat24.com/?culture=en

Rotterdam harbour, daytime / nighttime

The remote sensing system

A = sourceB = atmosphereC = objectD = sensorE = receptionF = data analysisG = final product

EM Spectrum and Windows

200 µm0.3 0.6 1.0 5.0 10 50 10m100 1mm 1cm 1m

200 µm0.3 0.6 1.0 5.0 10 50 10m100 1mm1cm 1m

multispectral scanners

microwavewindow

emission

opticalwindow

lidar

reflection

photography

human eye

mic

row

aves

microwave radiometry

blocking effect of atmosphere

radar

atm

osph

eric

tran

smitt

ance

UV

blue

gree

nre

d

NIR

MIR

MIR

TIR

TIR

thermal scanners

VIS

wavelength

100

0

wavelength (µm)

red middle- (shortwave)

infrarednear-

infraredblue

gree

n

dry soil

water

wet soil

vegetation

refle

ctan

ce (%

)

40

20

00.8

60

0.4 1.2 1.6 2.0 2.4

Object interaction - reflectance

Active <-> Passive

RS using radiation emitted by objects:(PASSIVE)

RS using reflected solar radiation:(PASSIVE)

ACTIVE RS:

Principles imaging sensor systems

Pushbroom scannerWhiskbroom scanner

digital recordinganalogue recording digital recording

scanning mirrorshutter

“point” detector

aerial image plane line array detector

imaging optics imaging optics

Camera(aerial photography)

imagingoptics

Position of spectral bands

MeteosatNOAA AVHRR

wavelength (µm)

red middle-

infrarednear-

infraredblue

gree

n

dry soil

waterwet soilvegetationre

flect

ance

(%)

40

20

00.8

60

0.4 1.2 1.6 2.0 2.4

Pan: IKONOS, Quickbird, GeoEye, WorldViewMultispectral: IKONOS, Quickbird, GeoEye, WorldView

Proba-V

Sentinel-2 MSI8

42 3

Landsat OLIpan

2 3 4 5

Image Processing Options

Tape/DVD/CD: Screen:latent image → Visualization → picture 1

picture 2--------------

picture nOptions:e.g. spectral band selection filtering

displaying band composites band ratioingcontrast modification vegetation index computationhistogram equalization classificationgrey scale enhancement texture analysis colour assignment segmentationdensity slicing geometric correction

Example TM-image, band 4-3-2 (R,G,B)

RS Properties

Moreover:

overview region differences and coherence

variety of sensors, techniques, processing algorithms reproducible analysis

in addition to conventional mapping specified data for application up to date information

co-operation of human knowledge and machine operations

capability of monitoring with time series of data reveals changes (change detection)

the invisible becomes visible objective and quantitative data extrapolation of point measurements open up inaccessible regions integration with GIS

Synopsis

Flexibility

Actuality

Interactivity

Dynamics

Global land cover classification - MODIS

254Unclassified

16Barren or Sparsely Vegetated

15Snow and Ice

14Cropland/Natural Vegetation Mosaic

13Urban and Built-Up

12Croplands

11Permanent Wetlands

10Grasslands

9Savannas

8Woody Savannas

7Open Shrubland

6Closed Shrubland

5Mixed Forest

4Deciduous Broadleaf Forest

3Deciduous Needleleaf Forest

2Evergreen Broadleaf Forest

1Evergreen Needleleaf Forest

0Water

255Fill Value

ColorClassLand Cover

254Unclassified

16Barren or Sparsely Vegetated

15Snow and Ice

14Cropland/Natural Vegetation Mosaic

13Urban and Built-Up

12Croplands

11Permanent Wetlands

10Grasslands

9Savannas

8Woody Savannas

7Open Shrubland

6Closed Shrubland

5Mixed Forest

4Deciduous Broadleaf Forest

3Deciduous Needleleaf Forest

2Evergreen Broadleaf Forest

1Evergreen Needleleaf Forest

0Water

255Fill Value

ColorClassLand Cover

AVHRR-NDVI time series 1981-2012

Credit: R. de Jong

Some current RS developments

What’s up next?

Next topics:

• Spectral signature• Multispectral scanning• Microwave remote sensing• Image pre-processing• Digital image processing

See: www.geo-informatie.nl/courses/gima_rs