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Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Emilio Chuvieco and Alfredo Huete Fundamentals of Satellite Remote.

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Presentation on theme: "Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Emilio Chuvieco and Alfredo Huete Fundamentals of Satellite Remote."— Presentation transcript:

1 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Emilio Chuvieco and Alfredo Huete Fundamentals of Satellite Remote Sensing – Chapter 5

2 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Visual interpretation + Low investment. + Builds upon photo-interpretation experience. + Includes a wide variety of criteria. - Analog: requires digitizing the output. - Influenced by interpreter’s subjectivity.

3 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Photo-products Negative Film Positive Film Paper  Facilitates paper reproduction.  Multiple color combinations  More quality

4 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis (Courtesy: R. Nuñez). Landsat image of the Portuguese coast in the original NASA format

5 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis COLOR BRIGHTNESS SHADOWS CONTEXT ASSOCIATION PHENOLOGY: SEASONAL CONDITIONS Level of Complexity Spectral criteria Simple spatial criteria Complex spatial criteria Temporal criteria SHAPE SIZE TEXTURE (after European Commission, 1993). Hierarchic organization of visual interpretation criteria

6 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis. Red band (B1); Near infrared band (B2)Short wave infrared (B7) Legend: (1) Snow, (2) Water), (3) Irrigated crops; (4) Bare Soils. Variation in brightness of different spectral bands of MODIS for our sample region (February, 19th, 2001)

7 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis REDGREEN BLUE CYAN YELLOW MAGENT WHIT E RED GREEN BLUE CYAN YELLOWMAGENT BLACK AditiveSubstractive Processes in color formation

8 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Blue Red Green Color composite

9 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis MODIS 261 MODIS 214 MODIS 275MODIS 143

10 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis (source: Global Land Cover Facility, GLCF) (1) Smooth: grasslands; (2) Medium low: shrubs and grasslands; (3) Medium- high, forested areas; (4) Rough: build up areas Different textures in a Landsat-7 ETM+ image of northern Tucson (Arizona). (September 3, 2000)

11 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis (1) Smooth: grass; (2) Medium concrete roof; (3) Medium-high, clay roof ; (4) Rough: trees. Ikonos image of the University of Arizona, acquired on August, 2000 (source: http://visibleearth.nasa.gov/) Textures on high-resolution images

12 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis This criterion makes it possible to discriminate irrigated crops (1) from golf fields (2). ETM+ image of Tucson. Spatial context

13 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis h ls  Diagram for the computation of a the height of a building from its shadow length

14 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Shades Washington, D.C., IRS Alcalá, KVR-1000

15 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Examples of land cover identification based on spatial pattern recognition: a) factories; b) tropical deforestation, c) golf field, d) wave patterns Patterns

16 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Shape recognition from satellite images: a) sport fields; b) factories; c) bullfight ring; d) harbor; e) combustible tanks; f) airplanes. Shapes

17 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Example of variable shapes in large areas: a) Appalachian relief in a MSS image; b) tropical cyclone in an AHRR image. Large shapes

18 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Stereoscopic view of the metric camera RMK 20/23 on Central Spain. The camera was installed on board the Space Shuttle in 1981 (Courtesy: R. Núñez).

19 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis MULTI-YEAR ANALYSIS DATE 1 DATE 2 DATE 3 DATE 1 DATE 2 INTERPRETATION MULTI-SEASONAL ANALYSIS Temporal dimensions in image interpretation

20 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Seasonal variation Central Spain 5-5-98 21-7-97

21 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Change detection analysis

22 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Tucson TM image acquired June 9, 1989 (source: http://aria.arizona.edu/) Effect of geometric distortions on the image interpretation Tucson ETM+ image acquired September 3, 2000 (source: Global Land Cover Facility, GLCF).

23 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Top: comparison between MODIS (left) and ETM (right) images of the Tucson area; Bottom: comparison between ETM+ (left) and Ikonos (right) of the University of Arizona’s campus Effect of the spatial resolution on the image visual interpretation

24 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis Comparison of three spatial resolution images over a sector of Alcala de Henares city (central Spain). Left: ETM+ (band 3, 30m), center: panchromatic channel (15 m), right: KVR-1000 (2m).

25 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis MODIS spectral bands of the study region (image acquired on February, 19th, 2001: From left to right and top to bottom: B3: 459-479 nm; B4: 545-565 nm; B1: 620-670 nm, B2: 841-876 nm; B6:1628-1652 nm and B7: 2105-2155 nm

26 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis MODIS band 1 (red) images of the study region acquired at different times of year. Left: February, 19th; Center: May, 21st; September, 25th. The bottom window shows the status of the Hoover dam in the same dates

27 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis (Source of images: http://aria.arizona.edu/) MSS 1974 TM 2002 Change detection analysis (city of Phoenix, Arizona)

28 Chuvieco and Huete (2009): Fundamentals of Satellite Remote Sensing, Taylor and Francis (Source: Atlas of our changing environment) Recent evolution of lake Chapala in central Mexico


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