lidar – light detection and ranging san diego state university

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LIDAR – Li ght D etection A nd R anging San Diego State University

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Page 1: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

San Diego State University

Page 2: LIDAR – Light Detection And Ranging San Diego State University

• 1st, 2nd, 3rd, and 4th returns have different X,Y (&Z)• Results in additional LIDAR points

Page 3: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

San Diego State University

• Multiple returns - Provide additional LIDAR points (X,Y,Z) - Indicate vegetation canopy (or edge of tall feature) - Reveal structural detail within the canopy

Page 4: LIDAR – Light Detection And Ranging San Diego State University

San Diego State University

LIDAR – LIght Detection And Ranging

6.5 ft

1st, 2nd, 3rd, and 4th Returns Have Different X,Y (&Z)

1st

2nd

3rd

4th

Page 5: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

Colored by Return Number Colored by Classification

Colored by Flight Line (single line) Colored by Elevation

Page 6: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

Colored by Return Number Colored by Classification

Colored by Flight Line (single line) Colored by Elevation

Page 7: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And RangingInitial LIDAR Elevation Filtered LIDAR Elevation

(Bare Ground)

Classified LIDAR Surface(Bare Ground and Canopy)

Classified LIDAR Surface(Bare Ground )

Page 8: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

San Diego State University

Border color infrared photography

Page 9: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

San Diego State University

• LIDAR point spacing is ~5-10 ft• Spacing is closer in flight line overlap areas and in areas with multiple returns

Page 10: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

• Vegetation Structure

San Diego State University

• Height vs. Width

• Shape

Page 11: LIDAR – Light Detection And Ranging San Diego State University
Page 12: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging

• Vegetation Height

San Diego State University

20 ft

Page 13: LIDAR – Light Detection And Ranging San Diego State University

LIDAR – Light Detection And Ranging2000 Color Infrared Image2000 Color Infrared Image

2000 Color Infrared Image2000 Color Infrared Image(With LIDAR “Canopy” Height)(With LIDAR “Canopy” Height)

Yellow – Green = 1-40 ft Height

Classified LIDAR Surface(Bare Ground and Canopy)

Classified LIDAR Surface(Bare Ground )

Page 14: LIDAR – Light Detection And Ranging San Diego State University

• Vegetation Density (% Canopy, % Not 1st Return)

Dense Moderate Sparse

1st Return Points

2nd, 3rd, 4th Return Points

LIDAR – Light Detection And Ranging

Page 15: LIDAR – Light Detection And Ranging San Diego State University

San Diego State University

LIDAR – Light Detection And Ranging

Page 16: LIDAR – Light Detection And Ranging San Diego State University

LIDAR Rasterized Point Summary ProductsLIDAR Rasterized Point Summary Products

Maximum HeightADS40 Image

Page 17: LIDAR – Light Detection And Ranging San Diego State University

% CanopyADS40 Image

LIDAR Rasterized Point Summary ProductsLIDAR Rasterized Point Summary Products

Page 18: LIDAR – Light Detection And Ranging San Diego State University

% Not 1st ReturnADS40 Image

LIDAR Rasterized Point Summary ProductsLIDAR Rasterized Point Summary Products

Page 19: LIDAR – Light Detection And Ranging San Diego State University

Blue: % Not 1st Return

ADS40 ImageGreen: % CanopyRed: Maximum Height

LIDAR Rasterized Point Summary ProductsLIDAR Rasterized Point Summary Products

Page 20: LIDAR – Light Detection And Ranging San Diego State University

LIDAR Intensity - Applications• GIS systems

– Backdrop imagery– Verify planimetric accuracy of existing images

and GIS data– Updating GIS layers

• Natural resource management– Presence/absence of vegetation– Vegetation condition– Recent soil disturbance