Lecture 1 -- Introduction to Remote Sensing
Instructor Information
Instructor: Desheng Liu
Department: Geography, The Ohio State University
Contact: liu.738@osu.edu
Course: GEOG 5225: Geographic Applications of Remote Sensing
Lecture Overview
Lecture 1 Topics:
What Is Remote Sensing?
Remote Sensing Process
A Brief History of Remote Sensing
Remote Sensing Applications
What is Remote Sensing?
Definition:
"The science and art of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigation."
Source: Lillesand and Kiefer, 2000
Components of Remote Sensing
Scientific Foundations
Physical Sciences
Mathematics and Logic
Social Sciences
Biological Sciences
Geographic Cartography/Information
Surveying Systems
The Remote Sensing Process
Steps in Remote Sensing
Statement of Problem
Data Collection
Data-to-Information Conversion
Formulate Hypothesis
In Situ Measurements
Image Processing
Analog (Visual) Image Processing
Digital Image Processing
Preprocessing
Accuracy Assessment
Presentation and Interpretation
Model Selection
Image Processing Techniques
Analog Images:
Visual analysis and interpretation
Digital Images:
Radiometric Correction
Geometric Correction
Thematic Maps
Statistical Analysis (univariate and multivariate)
A Brief History of Remote Sensing
Early Aerial Photography
Balloon Photography:
1858: Gaspard Tournachon (Nadar) photographed the Bievre, France (80m high)
1860: James Black over Boston (365m high)
Kite Photography:
1882: Archibald sent the first aerial photograph from a kite.
1906: George Lawrence captured images of San Francisco after the earthquake.
Pigeon Photography:
1903, photographs taken using carrier pigeons.
Airplane Photography:
1908: First aerial motion pictures over Le Mans, France.
World War I: Over one million reconnaissance photos taken for military use.
Space-Borne Imaging
1960s:
Launch of various satellites including the MetSat and CORONA spy satellite program.
Landsat MSS and Landsat TM launched for land observation (1972 & 1986).
Remote Sensing Applications
Key Applications
Global Land Cover Characterization
Classifications include developed land, forests, cropland, water bodies, etc.
Nighttime Lights Mapping
Data from Defense Meteorological Satellite Program (DMSP).
MODIS Applications
Sea Surface Temperature and Leaf Area Index
Wildfire Mapping
Hotspot locations from NOAA/AVHRR data (1989-1999).
Natural Disaster Assessment
Case study: Japan earthquake and tsunami (March 12, 2011).
Hydrological Studies
Soil moisture, snow depth, and transpiration data from Landsat.
Geological Mapping
Case study: Cuprite, Nevada using hyperspectral imagery.
Urban Expansion Studies
Urban footprint analysis for Charleston area (1973, 1994, 2030).
Crime Mapping
Spatial data on crime incidents with location maps.
Infectious Disease Studies
Correlation of sea surface temperature with cholera outbreaks.
Air Pollution Monitoring
Analysis of PM2.5 measurements and trends.
Conclusion
Remote Sensing is a multifaceted field with applications across various scientific domains and real-world issues, supporting enhanced understanding and decision-making in geography and environmental monitoring.