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Beyond Spectral and Spatial data: Exploring other domains of information: 1

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Beyond Spectral and Spatial data: Exploring other domains of information: 1 GEOG3010 Remote Sensing and Image Processing Lewis RSU – PowerPoint PPT presentation

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Title: Beyond Spectral and Spatial data: Exploring other domains of information: 1


1
Beyond Spectral and Spatial data Exploring other
domains of information 1
  • GEOG3010 Remote Sensing
  • and Image Processing
  • Lewis
  • RSU

2
Domains of Information
  • spectral
  • angular
  • multi-temporal
  • distance-resolved
  • spatial

3
Domains of Information
  • consider physical basis for information

4
Spectral - Physical Basis
  • Optical
  • reflectance varies with wavelength
  • spectral reflectance of different cover types /
    properties vary

5
Spectral reflectance
  • Related to
  • how much (projected, illuminated) material seen

6
Spectral reflectance
  • Related to
  • reflectance / absorptance characteristics of
    materials

7
Plus multiple scattering where absorptance low
8
Leaves
  • Absorbtance by leaf pigments, water etc
  • Acting in different parts of the spectrum

9
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10
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11
Leaves Factors affecting reflectance/transmittanc
e of plant elements
  • pigment type/concentration
  • e.g. Chlorophyll a,b - absorb visible radiation
  • surface features
  • hairs, spines, veins, cuticular wax - scattering
    (e.g. specular)
  • cell morphology and content
  • NIR - high refl. due to scattering at
    refractive index discontinuities
    (nair 0 ncell1.47)
  • MIR - water absorption features

12
  • So attempt to take RS measurement and relate to
  • cover type
  • different spectral properties
  • amount of material (eg vegetation)
  • eg leaf
  • high NIR, low visible (basis of VIs)

13
Interpretation complicated by
  • variations in Sun/view angle

14
-30
60
0
-60
30
e.g. 5m mean tree spacing SZA 0 degrees
15
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16
Interpretation complicated by
  • projection of objects
  • orientation (leaf angle distribution)

17
Interpretation complicated by
  • projection of objects

18
Interpretation complicated
  • So relationship between eg VI and canopy
    variables (LAI) depends on cover type
  • (different canopy structure)

19
Microwave
  • Similar spectral concepts
  • (frequency c f ?)
  • again generally related to amount of material
  • but very much driven by
  • water content
  • size of objects (relative to wavelength)
  • orientation
  • effect dept. on polarisation

20
Summary
  • Spectral
  • cover type variation
  • spectral properties (of leaves, soil etc.)
  • projected towards viewer, illuminated
  • depends on amount of material
  • Vis - e.g. NDVI - quantify amount
  • relationships depend on cover type
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