1 / 12

Topographic Effects on Remotely Sensed Imagery

Topographic Effects on Remotely Sensed Imagery. Changes in topography result in irregularly illuminated areas and in variations in light reflection geometry. Remotely sensed data should be corrected for topographic effects, accounting for actual incidence angles. Surface Normal.

dawson
Download Presentation

Topographic Effects on Remotely Sensed Imagery

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Topographic Effects on Remotely Sensed Imagery • Changes in topography result in irregularly illuminated areas and in variations in light reflection geometry. • Remotely sensed data should be corrected for topographic effects, accounting for actual incidence angles. Surface Normal Z = sun zenith angle I = angle of incidence

  2. Statistical-Empirical Correction for Topographic Effects Illumination: cos(i) = cos(e) cos (z) + sin(e) sin (z) cos (Øs - Øn) i = angle of incidence e = surface slope z = solar zenith angle Øs= solar azimuth angle Øn= surface aspect } at time of satellite overpass Observed radiance: LOBS = b + m cos(i) Corrected radiance: LCOR = LOBS - m cos(i) - b + LOBS, avrg LOBS = observed radiance (actual terrain) LCOR = corrected radiance (normalized, horizontal surface) m, b = regression coefficients

  3. Observed Radiance: LOBS = b + m cos(i) 120 110 100 90 80 70 60 50 40 30 20 10715 ground reference points (natural forest) b = 74.9 m = 54.1 (band 4) cos(i) 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  4. Corrected Radiance: LCOR = LOBS - b - m cos(i) + LOBS,avrg 120 110 100 90 80 70 60 50 40 30 20 b = 74.9 m = 54.1 (band 4) 10715 ground reference points (natural forest) cos(i) 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  5. Digital Elevation Model 1200-1250 1250-1300 1300-1350 1350-1400 1400-1450 1450-1500 1500-1550 1550-1600 1600-1650 1650-1700 1700-1750 1750-1800 1800-1850 1850-1900 1900-1950 1950-2000 2000-2050 2050-2100 2100-2150 2150-2200 2200-2250 2250-2300 2300-2350 (m.a.s.l.)

  6. DEM-based aspect (degrees.) DEM-based slope (degrees.)

  7. Color composite original bands 742 Color composite corrected bands 742

  8. USC Original Composite 742 USC Corrected Composite 742

  9. Mitch Langford’s classification Unknown clusters

  10. Airphotography-based land use USC corrected composite 453 Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5 Cluster 6 Cluster 7 BN BP PNB PBD PC PN MS CC CT FQ CN CI YU PR Q PNC MR MC RA PNE

  11. Mitch Langford’s classification USC corrected composite 453 Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5 Cluster 6 Cluster 7

  12. Conclusions • Satellite imagery of mountainous regions should be corrected for topographic effects before using any further. • The statistical-empirical correction method using DEM-derived information proved to be effective and easy. • The spatial resolution of imagery (30 m) may be insufficient to identify many small plots with different land cover. • Image correction and classification can be further improved by using better ground reference information.

More Related