Embedded Files
GEOG361 Lab 1 Spreadsheet Girard.xlsx - Sheet1.pdfLab 1 Spreadsheet featuring reflectance percentage based on TM band.
Learning Outcomes
Learning Outcomes
Articulate how electromagnetic radiation (EMR) interacts with various earth surface materials and the intervening atmosphere, and how these EMR interactions facilitate remote sensing;
Describe the wavelength regions of the electromagnetic spectrum and how each region is useful to remote sensing as well as which wavelength regions are not useful for certain remote-sensing analyses;
Explain the concept of spectral signatures and why they are important;
Describe conceptually the various types of resolution (i.e., spatial, spectral, radiometric, and temporal) that are important to remote sensing and how they affect selection of sensor or data source for a given remote-sensing objective;
Describe the historical development of the field of remote sensing;
Explain the basic elements of visual image analysis and interpretation and correctly interpret remotely-sensed images;
Create and analyze quantitative measurements of features/objects/entities in remotely-sensed images; and
Explain and perform fundamental digital image-processing procedures.
Course Description
Course Description
Introduction to the principles, techniques and applications of remote sensing technology in geosciences including the analysis and interpretation of airborne and spaceborne remote sensing data for studying key earth system processes. This course provides and introduction to various fundamental remote sensing topics. The nature and physics of the interaction of electromagnetic radiation (EMR) with various Earth surface materials and the intervening atmosphere will be emphasized, along with a discussion of remote sensor systems for Earth-observation.
Students will also become proficient with fundamental remote sensing digital image processing operations using a state-of-the-art remote sensing software package.
GEOG361 Lab 1 Girard.pdfLab 1: Measurement and Analysis of Target Reflectance: Determining the most useful/optimal bands for target discrimination, for certain applications and identifying features based on spectral reflectance curves.
GEOG361 Lab 2 Girard.docx.pdfLab 2: Interpretation and Analysis of Aerial and Satellite Imagery: To introduce fundamental image-interpretation techniques, basic ENVI remote-sensing digital image processing system display and screen cursor control procedures and analyzing basic characteristics of various remote-sensing multispectral systems.
Lab 3 Image-Map Composition of Yellowstone National Parking using ENVI
GEOG361 Lab 3 Girard.pdfLab 3: Introduction to Digital Remote Sensing Process: Become familiar with the basic nature of digital remotely-sensed imagery, determine how to obtain remotely-sensed image data on the Internet, learn how to use the ENVI software package to create map compositions based on the image data acquired.
Lab 3 numerical matrices for each image band with the land-cover classes delineated via color shading.
Matrice 1: Band 2
Matrice 2: Band 3
Matrice 3: Band 4
GEOG 361 Lab 3 Spreadsheet.xlsx - Sheet1.pdfGEOG361 Lab 4 Girard.pdfLab 4: Geometric Rectification / Orthorectification:
Rectify a raw digital image using image-to-map rectification, image-to- image registration and/or GPS/GNSS ground control rectification methods. Generate orthoimagery in ENVI using aerial photography and satellite imagery
Lab 4 map composition made in ENVI using ENVI's RPC Orthorectification Tutorial.
Lab 5: Thermal Infrared Image Interpretation: Analyzing various infrared images and understanding basic thermal properties and characteristics.
GEOG 361 Lab 5 Girard.pdfGEOG 361 Lab 6 Girard.pdfLab 6: Radar Image Interpretation and Analysis:
To become familiar with practical applications of radar calculations as well as radar image interpretation. Specific radar principles we will be exploring are range resolution, azimuth resolution, surface roughness, look direction, and depression angle. Analyzing and interpreting SIR-C, JERS, and RADARSAT radar scenes.
Lab 7: Vegetation Indices and Spectral Profiles for Identifying Potential Oiled Vegetation in a Coastal Wetland:
The aim of this laboratory exercise is to introduce students to vegetation indices, their utility in remote sensing, and how to calculate them; in particular, students will jointly utilize vegetation index images computed from hyperspectral AVIRIS image data and spectral reflectance curves in order to locate/identify potential oiled vegetation in a coastal wetland along the Louisiana coast.
GEOG 361 Lab 7 Girard.pdfGEOG 361 Lab 8 Girard.pdfLab 8: Remote-Sensing Image Classification:
To understand the difference between unsupervised and supervised image-classification methods.
To learn how to perform unsupervised ISODATA classification and supervised maximum likelihood image classification using the ENVI software package. Specifically, students will apply these algorithms to classify a Landsat 5 TM image in order to map potentially-oiled coastal oceanic waters.
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