26
Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Embed Size (px)

Citation preview

Page 1: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Beyond Spectral and Spatial data: Exploring other domains of

information: 4

GEOG3010 Remote Sensing

and Image Processing

Lewis

RSU

Page 2: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Domains of Information

• spectral

• angular

• multi-temporal

• distance-resolved

• spatial

Page 3: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

• Can determine distance from satellites:– based on time-delay of signal

Page 4: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

• Can determine distance from satellites:– based on time-delay of signal

Page 5: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

• eg GPS

Page 6: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

• EO example:– radar interferometry

Page 7: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved• EO example:

– radar interferometry: • assume know satellite position

1 cycle (5.6 cm for C band)

¾ way through half cycle

(¾+1)x180 = 315 degrees

(360 degrees, 2 radians)

¾ way through

270 degrees

2 x d1 = (N1+¾)x5.6

Page 8: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved• EO example:

– radar interferometry:

0 way through2 x d2 = (N2) x 5.6

2 x (d2 - d1) = (N2- N1) x 5.6 + (¾-0) x 5.6

Page 9: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved• EO example:• position 1:

– 2 x (d2 - d1) = (N2- N1) x 5.6 + (¾-0) x 5.6

• position 2:– point on ground next to current point will have different

phase change– if its within the same cycle (height change less than

5.6cm)• can tell relative height change between these points• very precise (mm)

Page 10: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Shuttle Radar Topography Mission

Page 11: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Shuttle Radar Topography Mission

11 Feb 2000 (Endeavour) - 11 days

30m DEM of +/- 60 degrees latitude

Page 12: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU
Page 13: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU
Page 14: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU
Page 15: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

Measure small change -

subsidence

Page 16: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

Measure small change -

earthquake

Page 17: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved

LIght Detection And Ranging

RAdio Detection And Ranging

LIDAR

RADAR

Page 18: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved LIDAR

• Send laser pulse from sensor

• measure round trip time

• = 2x distance

• use NIR mostly– atmospheric effects minimised

Page 19: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved LIDAR

• Examples - EA

• fly aiborne LIDAR regularly for high resolution DEM

• use first/last return

• ground height / tree height

Page 20: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved - LIDAR

Page 21: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved LIDAR

• Examples - VCL

• Vegetation Canopy LIDAR

• NASA mission to fly ????

• waveform LIDAR

Page 22: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved VCL

• waveform LIDAR

Page 23: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Distance-resolved • waveform LIDAR

Page 24: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU
Page 25: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

LIDAR

• ‘Simple’ form of measurement

• easy to use (? Simply)

• doesn’t work (well) on high slopes

• requires highly-sensitive instrumentation

• potentials for new forms of information – waveform LIDAR

Page 26: Beyond Spectral and Spatial data: Exploring other domains of information: 4 GEOG3010 Remote Sensing and Image Processing Lewis RSU

Interferometry

• Used for number of years– operational (SRTM)

• different ‘scales’ for different SAR frequencies

• doesn’t work well (for height) if change between images– wind in forests

• doesn’t work on high slopes