Yearly Archives: 2023

Supervised Image Classification – Germantown, Maryland

The fifth module for Remote Sensing and Photo Interpretation introduced Supervised and Unsupervised Digital Image Classification techniques. These are automated processes for converting a spectral class, a group or cluster of spectrally similar pixels, into an information class, i.e. land use/land cover class of interest. Using multi-spectral data and spectral pattern recognition techniques, the algorithm may take many spectral classes to describe a single information class. Similarly one spectral [...]

By |2024-04-08T10:34:35-04:00November 21st, 2023|GIS|Comments Off on Supervised Image Classification – Germantown, Maryland
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Multispectral Data Analysis – Olympic Pensinula, Washington

This week's Remote Sensing and Photo Interpretation lectures and lab assignment introduced a myriad of information related to image preprocessing. Functionality and various atmospheric correction techniques were discussed, followed by in depth look at several vegetation indices. The textbook provided great detail of the spectral characteristics of vegetation, including how visible light interacts with tree leaves and canopies. The lab introduced data acquisition and the USGS Global Visualization Viewer [...]

By |2024-04-08T10:35:31-04:00November 12th, 2023|GIS|Comments Off on Multispectral Data Analysis – Olympic Pensinula, Washington
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Introduction to ERDAS Image – Washington Forest Thematic Data

The third lab assignment for Remote Sensing/Photo Interpretation introduces ERDAS (Earth Resources Data Analysis System) Image. The first part of the lab provided a basic overview of the program, initially with some rudimentary tasks involving Advanced Very High Resolution Radiometer (AVHRR) imagery and a LANDSAT Thematic Mapper (TM) satellite image of forestland in Washington State. Working with the data from the Olympic Peninsula in Washington, learned how to add [...]

By |2023-11-03T16:55:10-04:00November 3rd, 2023|GIS|Comments Off on Introduction to ERDAS Image – Washington Forest Thematic Data
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Land Use/Land Cover (LULC) Identification for Pascagoula, MS

The second module for GIS4035 Remote Sensing/Photo Interpretation introduces the USGS Land Use/Land Cover (LULC) classification system. Originally compiled by James R. Anderson and associates, A Land Use and Land Cover Classification System for Use with Remote Sensor Data was published by the United States Government Printing Office in 1976. There are four levels in the hierarchy, with Level I categorizing LULC on air photos with small scale and low spatial [...]

By |2023-11-03T16:58:52-04:00October 27th, 2023|GIS|Comments Off on Land Use/Land Cover (LULC) Identification for Pascagoula, MS
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Remote Sensing – Visual Image Interpretation Basics

A short two days following the completion of the Final Project for GIS4043, I am delving into Photo Interpretation and Remote Sensing (GIS4035). The first lab provides an overview on elements of visual image interpretation, with historical black and white air photos of Pensacola Airport and Pensacola Beach in Northwest Florida. The first aspect of aerial photography interpretation references the tone, or the shades of gray from light/white to [...]

By |2023-11-03T16:47:46-04:00October 22nd, 2023|GIS|Comments Off on Remote Sensing – Visual Image Interpretation Basics
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Bobwhite Manatee Transmission Line Analysis – Final Project

The final project for GIS4043/Intro to GIS conducts analysis on the Bobwhite Manatee Transmission Project in Southwest Florida. Part of the Florida Power & Light (FPL) infrastructure, the 24.5 mile long transmission corridor was developed to serve growing areas of eastern Manatee and Sarasota Counties, including Lakewood Ranch. Additionally the new line offers redundancy during hurricanes, something tested since it was completed with Hurricane Irma in 2017 and Hurricane [...]

By |2023-11-03T16:57:19-04:00October 13th, 2023|GIS|Comments Off on Bobwhite Manatee Transmission Line Analysis – Final Project
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Georeferencing UWF aerials for Eagles nest easement analysis

The sixth lab for Intro to GIS introduces Georeferencing, which transforms raster data such as an aerial photo or a scan of a subdivision plat, to closely match vector data within GIS. I am familiar with Georeferencing from my cartography jobs, where we often acquired subdivision and other development plats and digitized them for updating map products. Georeferencing utilizes control points, which match features on the raster image without any [...]

By |2023-11-03T16:29:37-04:00October 3rd, 2023|GIS|Comments Off on Georeferencing UWF aerials for Eagles nest easement analysis
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Geocoding Data – Manatee County Schools

This week's lab project introduced me to Geocoding within ArcGIS Pro and some Excel spreadsheet tactics used to prepare the data for it. The focus of this project is to extract the geographic location for Manatee County Schools from the list posted on the Florida Department of Education web site. Started the lab with a simple copy and paste of the schools list, which includes 84 entries ranging from [...]

By |2024-11-11T16:31:09-05:00September 22nd, 2023|GIS|Comments Off on Geocoding Data – Manatee County Schools
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Buffer Analysis with Desoto National Forest data

This week's GIS Lab introduced spatial analysis and more specifically, the concept of buffers. Buffers in GIS can be applied to spatial data to conduct analysis on a specifically defined area surrounding the data in question. My last experience with buffers was back in 1998 at the University of Delaware. Our final project then used buffers as part of the analysis for the White Clay Creek Watershed in northern [...]

By |2023-11-03T16:21:48-04:00September 17th, 2023|GIS|Comments Off on Buffer Analysis with Desoto National Forest data
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Map Projection Variation with Florida County data

This week's GIS lab delved into map projections, the manipulation of attribute data and the creation of a feature class out of selected data. We were tasked with taking a polygon shapefile of Florida's County Boundaries and reprojecting it from the original Albers Conical Equal Area (Albers) coordinate system to both the State Plane Coordinate System (State Plane Florida North) and the Universal Transverse Mercator (UTM 16 North) [...]

By |2023-11-03T16:12:01-04:00September 14th, 2023|GIS|Comments Off on Map Projection Variation with Florida County data
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