Download presentation
Presentation is loading. Please wait.
Published byPeregrine Allan Fitzgerald Modified over 9 years ago
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
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.