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Dr. Darnell Johnson graduated from Elizabeth City State University with a degree in mathematics after serving as both president and vice president of the student government association, captain of the football team, president and vice president of Alpha Phi Alpha Fraternity, Inc., and Who's Who in Colleges and Universities for two consecutive years. He became the first student-athlete at ECSU and the CIAA to be awarded the NCAA Post-Graduate Scholarship and attended the University of Kentucky in mathematics education. Later he earned an advanced certificate from Old Dominion University in Administration and the Doctor of Education in Leadership and Policy from The George Washington University. Dr. Johnson has served as a graduate assistant in mathematics, high school mathematics teacher, middle and secondary assistant principal and principal, central office administrator, adjunct faculty member, department chair in mathematics and computer science, assistant dean of education, and currently, The Distinguished Professor of Education with an emphasis in science, technology, engineering, and mathematics (STEM). He has worked in the k-12 sector for 30 years and higher education for 14 years. He has coordinated STEM related research and activities for 11 years with The Center of Excellence in Remote Sensing Education and Research, The Center of Remote Sensing of Ice Sheets, NASA, ONR, and the k-12 community. a lot of training and practice, the research team started to actually develop programs to complete our tasks. The research team had received different pieces of information to help us develop our program. The team traveled to and attended The Association of Computer/Information Sciences and Engineering Departments at Minority Institutions (ADMI) were the team learned more about the concept behind Cloud Computing to better understand the methods of the project.
I have worked with a team to conduct research in the Center for Remote Sensing of Ice Sheets in Ocean, Marine, and Polar Research in a Research Experience for Undergraduates at Elizabeth City State University in Elizabeth City, North Carolina. The team I was a part of utilized a spectrometer to see if we can detect land covers signatures and other signatures around the different locations in North Carolina. The team mainly focused on a multitude of land cover classifications, such as sand from Jockey's Ridge in Kittyhawk, NC, grass from The Wright Brothers Memorial Park in Kittyhawk, NC, and other samples from around the Elizabeth City State University area in Elizabeth City, NC.
The objective of the project was to gather ground-truthing spectral readings and match them to LANDSAT band data readings in order to classify spectral signatures of two land cover types. The team utilized a spectrometer, GPS system, web-camera, and laptop in order to gather the data. The team gathered different datasets from various locations, which included Jockey's Ridge's Sand Dunes and the Wright Brother's Memorial Park in Kitty Hawk, North Carolina. The team was able to consistently classify specific land cover types, such as sand and grass. In order to classify the readings, the team had to take the maximum of the spectral readings from four LANDSAT bands. After this was done, the team performed a linear regression on all the maximums of each of the bands in order to maintain a function that will convert the spectral readings into LANDSAT band data.
The team utilized ENVI 5.0 to take the GPS coordinates and match the LANDSAT band readings to the specific pixel that the coordinates were in. The team converted the spectral readings to LANDSAT band spectral readings in order to see if the data matched closely to the original LANDSAT data. The team placed the data into a spreadsheet to match up all of the spectrometer, GPS, web-camera, and LANDSAT data. The team then used a neural network, WEKA, in order to make sure that the network can take five attributes (B1, B2, B3, B4, and class) and easily classify them as either sand or grass with consistent success. My purpose on the project was to sketch the tool that the team created, contribute to the work flow that the team utilized in the field, mark the GPS coordinate and name the marking correctly, and enter the data the team collected into a spreadsheet.
The reason why I participate in internships is so that I can expand my horizons and fulfill my quest for new knowledge. I also participate in internships to connect with potential co-workers, and to build strong professional networks. In the Computer Science field, there are few minorities, which is why having a strong network of people is crucial to obtaining success. After I graduate I plan on progressing forward to receive my Master's Degree in Computer Science. Later, I would like continue on and attain my PhD in Computer Science.
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