Remote Sensing and Image Interpretation & Analysis  

Table of Contents

Title Page
0
Overview and Use of this Remote Sensing Tutorial on the Internet
i
Introduction to Remote Sensing: Historical and Technical Perspectives
I-1
Explains the concept of Remote SensingI-1
Explains Electromagnetic SpectrumI-2
Reviews history of Remote SensingI-7
Describes Multi Spectral ScannerI-10
Describes Thematic MapperI-12
Section 1: Image Processing and Interpretation: Morro Bay, California
1-1
TM Band 3 of Morro Bay, California1-1
Ground and aerial Photographs of Morro Bay area1-2
Principal Components Analysis1-12
Image Ratioing1-13
Unsupervised Classification1-14
Supervised Classification1-15
Minimum Distance Classification1-16
Probabilistic Neural Network Classifier1-16
Section 2: Geologic Applications I: Stratigraphy and Structure
2-1
Describes using LANDSAT for geological studies2-1
Geologic Map of Waterpocket Fold2-3
Maximum Likelihood Classification2-5
Geologic Folds2-6
Faults and Joints2-7
Atlanta Groundwater Survey2-9
Section 3: Vegetation Applications: Agriculture; Forestry; Ecology
3-1
AVHRR Vegetation Index of Africa3-2
Kenya & Rift Valley of Africa3-3
South West Kansas, U.S.A. 3-4
Morocco3-4
Soviet Wheat Harvest, Salton Sea, California-Mexico Boarder3-5
Forests, Deforestation, Defoliation and Mine wastes3-6
Section 4: Urban and Land Use Applications: From Tucson to Paris
4-1
Los Angeles, U.S.A. TM scene4-1
New Orleans, U.S.A., TM Scene4-2
Paris, France, Spot Scene4-3
Dallas-Fort Worth, First MSS LANDSAT(ERTS) Scene4-5
Section 5: Geologic Applications II: Mineral and Petroleum Exploration
5-1
Geological Map of White Mountain5-2
Ratios, PCA & Maximum Likelihood5-3
Find Oil in Oklahoma5-4
Section 6: Flight Across the United States: Boston to Denver to San Francisco
6-1
Boston, MA TM Scene6-2
Pennsylvania, Appalachians, TM Scene6-3
Chicago, Ill, TM Scene6-4
Elkhart, Kansas, TM Scene6-5
Denver, Colorado & Front Range, TM Scene6-6
Four Corners - Utah, New Mexico, Arizona, Nevada, TM Scene6-7
Nevada, TM Scene6-8
San Francisco Bay Area, California, TM Scene6-9
Section 7: Regional Studies: Use of Mosaics from LANDSAT
7-1
Photographic Mosaic of Los Angeles, U.S.A.7-2
TM Mosaic San Francisco to San Diego, U.S.A.7-2
Digital Elevation Model: California, Nevada, Utah, New Mexico, Arizona, U.S.A.7-2
MSS Mosaic, Western U.S.A.7-3
Casper Ridge, Wyoming, U.S.A.7-3
European Alps7-3
Iran-Pakistan-India7-3
Section 8: Radar and Microwave Remote Sensing
8-1
Bolivian Andes8-1
How RADAR works.8-2
Harrisburg, PA, Nigeria/Cameroon.8-3
Pine Mountain Thrust, RADAR Illumination Angles8-4
Harrisburg PA, RADAR Polarization8-5
Alaska, Canada, Jamaca, Southern California, West Virginia8-6
Hamersley Range, Western Australian Shield; Galapagos Island Volcanos; Columbia, South America; Sahara Desert8-7
Section 9: The Warm Earth: Thermal Remote Sensing
9-1
Planck Blackbody Law9-1
Wien Displacement Law9-2
Heat Capacity Defined9-2
Thermal Conductivity Defined9-2
Thermal Inertia Defined9-2
White Mountain9-6
Niagra TM Band 69-6
Death Valley, TM, TIMS Data9-7
Mauna Loa, Hawaii TIMS Data9-7
Section 10: Aerial Photography as Primary and Ancillary Data Sources
10-1
New Zealand, Harrisburg, Pennsylvania10-1
Photographic process -- color and scale10-2
Section 11: The Earth’s Surface in 3-D: Stereo Systems and Topographic Mapping
C
Section 12: The Human Remote Senser in Space: Astronaut Photography
#
Section 13: Collecting Data at the Surface: Ground Truth
C
Section 14: Meteorological, Oceanographic and Hydrologic Applications of Remote Sensing
#
Section 15: Geographic Information Systems: The GIS Approach to Decision Making
#
Section 16: Earth Systems Science; Mission to Planet Earth, and the EOS Program
C
Section 17: NASA’s Regional Data Centers Program: Case Studies in Maryland; South Carolina; Louisiana; Hawaii
#
Section 18: Use of Remote Sensing in Basic Science Studies: Impact Cratering
C
Section 19: Planetary Remote Sensing: The Exploration of Extraterrestrial Bodies
C
Section 20: Outlook for the Future in Remote Sensing; Career Opportunities
#
Appendix I: Additional Principles of Digital Image Processing
#
Appendix II: Further Readings and other Information Sources
#
Appendix III: Answers to Questions and Problems
#


Sections above without page numbers but marked by "C" have been completed but are not yet on-line. If pound sign, #, these sections are still under preparation. New additions are being developed for Sections 2,3,4, and 5.

Code 935, Goddard Space Flight Center, NASA
Written by: Nick Short, Sr. email: nmshort@epix.net
Edited by: Jon Robinson email: Jon.W.Robinson.1@gsfc.nasa.gov
Text Updated: 2/20/97
Copyright: Nick Short, Sr. & Jon Robinson


Page maintained by Jon Robinson, robinson@ltpmail.gsfc.nasa.gov. Created: 11/8/96 Updated: 2/20/97