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Remote Sensing & Photogrammetry W2. Beata Hejmanowska Building C4, room 212, phone: +4812 617 22 72 605 061 510 galia@agh.edu.pl. LANDSAT. LANDSAT Orbit LANDSAT 4,5 MSS Sensor Characteristics LANDSAT TM, ETM+ Sensor Characteristics. Landsat handbook Landsat Data is available for FREE.
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Remote Sensing & PhotogrammetryW2 Beata Hejmanowska Building C4, room 212, phone: +4812 617 22 72 605 061 510 galia@agh.edu.pl
LANDSAT • LANDSAT Orbit • LANDSAT 4,5 MSS Sensor Characteristics • LANDSAT TM, ETM+ Sensor Characteristics
Landsat Data is available for FREE • Path: 188, Row: 25 • elp188r025_7t20000507.tar.gz • GEOTIF
Image processing • Pre-processing – later will be explained • Image enhancement • Data extraction – later will be explained
Histogram stretching • Linear • With saturation • Histogram equalization
Color image RGB 0.76µm 0.5µm 0.4µm 0.64µm Panchromatic image VIS 0.4µm 1.2µm 0.76µm Remote sensing
Color image RGB 0.76µm 0.5µm 0.4µm 0.64µm Panchromatic image VIS 0.4µm 1.2µm 0.76µm Remote sensing
Remote sensing panchromatic image pixel= 30m, 8 bits [0-255]
Photointerpretation • Object: point, line, polygon • Object differs from the background
Image characteristic • Brightness • Contrast • Resolution • Stereoskopy effect
Brightness, tone • Brightness – subjective reaction on the light, subjective perception • Tone – bright, medium, dark, DN
Contrast • CR=Bmax/Bmin • Bmax – max brightness • Bmin – min brightness • Bmin = 0; CR = infinity • Bmin=Bmax; CR = 1
Less contrast • The objects and background have similar spectral response • Scattering of EM radiation in the atmosphere • Not proper remote sensing method
Image characteristic • Brightness • Contrast • Resolution • Stereoskopy effect
STRUKTURA PROCESU INTERPRETACJI • Detection – statment of existence of „soemthing” • Recognition – confirmation of the initial assumtion and object classification • Identification – determiantion of the function or genesis of the object
Elements of visual image interpretation image „reading” – direct recognition features of the objects • tone • shape • size • pattern • texture • shadow • association
Photointerpretation key • Part of the image with the object and its descriptions
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing panchromatic image PAN
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing panchromatic image PAN
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing panchromatic image PAN
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing panchromatic image PAN
Reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing panchromatic image PAN
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R B G R
odbijalność [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R
odbijalność [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R las B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R Bare soil B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) woda B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) B G R B G R
reflectrance [0-255] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) Is spectral reflectance in channels charecteristic for specific land cover? B G R
reflectrance [%] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) Spectral curve of different land cover 30 soil wegetation 10 water B G R
reflectrance [%] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) 30 soil wegetation 10 water B G R
reflectrance [%] 0,5 0,6 0,7 0,4 Remote sensing color composit (RGB) 30 soil wegetation 10 water B G R