GEO 553 Remote Sensing Midterm Review:

1.       Diki

2.       Properties of EM Energy (wavelength, frequency)

3.       Major divisions of EM spectrum (visible, NIR, MIR, thermal, microwave)

4.       Visible Spectrum (blue, green, red)

5.       Scattering (Rayleigh, Mie, and nonselective scattering)

6.       Atmospheric Windows

7.       Interactions of EM energy with features at the Earth’s surface reflection + transmission + absorption = 100% plus emission)

8.       Spectral Reflectance Curve

9.       Eight Elements of Image Interpretation for Air Photos

10.   Color theory (three additive primaries and three subtractive primaries, output color of combinations of additive or subtractive colors)

11.   Four Resolutions of digital images (spectral, radiometric, spatial, and temporal)

12.   The four resolutions for MSS in Landsat 1,2,3(1^st Generation), for TM in Landsat 4,5,7(2^nd Generation), for SPOT 1,2,3 (pan and multi-spectral)

13.   SPOT 1,2,3 (Unique Features)

14.     High Resolution Land Satellites (spectral, radiometric, and spatial resolutions for

a.  IKONOS 2

    b.  Orbview 3

    c.   GeoEye 1

    d.  QuickBird 2)

15.   Coarse resolution satellites (four resolutions for AVHRR)

16.   NDVI

17.   TERRA(EOS-AM) and Aqua (EOS-PM) MODIS sensor (spectral-number of bands, radiometric, spatial resolutions)

18.   Geometric Correction (frame correction and value re-sampling)

19.   Image Enhancement:

Single (stretch, edge enhancement-filtering)

Multi-band (band ratio, PCA, K-T Tasseled Cap, IHS)

20.   Supervised Image Classification:

Minimum Distance Classifier

Gaussian Maximum Likelihood Classifier-uses probability density function

21.   Un-supervised image classification:

Chain method

ISODATA method

Sub-pixel classification