Watershed

Oral

395144 - Using an Aerial Multispectral Sensor in Urban Areas for Assessing Changes over Time

Monday, June 4
10:30 AM - 12:00 PM
Location: Greenway IJ
Co-Authors: Saurav Kumar, 500 W University Ave, El Paso, TX 79968 – The University of Texas at El Paso; andrew ellerson, 500 W University Ave, El Paso, TX 79968 – The University of Texas at El Paso; Yohtaro Kobayashi, 500 W University Ave, El Paso, TX 79968 – The University of Texas at El Paso

This paper explains the arrangement of Unmanned Aerial Vehicle (UAV) to acquire remote images with a five-band multispectral sensor. The study area was limited to the campus and nearby areas of the University of Texas at El Paso. To assesses changes in built infrastructure a weekly survey was conducted on Sundays near the solar noon. For these surveys, the UAV was flown at an altitude of 100m with a velocity of 6m/s. Pix4DCapture® iOS app was used to program the flight path. The data obtained was initially processed with Pix4DMapper® for alignment of different bands, radiometric corrections using the downwelling sensor, and generating corrected ortho-mosaic. The ortho-mosaic where then analyzed in Python to detect changes in spectral signature with machine learning algorithms and related to observed changes in the built infrastructure. The target of these experiments is to detect temporal changes to the bare soil, vegetation, roofing material, building, and construction in the area. Another goal of this study is to compare data from UAV multispectral sensor with sensing data from the satellite and develop an algorithm that may be used to downscale satellite data. The spatial resolution of the UAV data is about 5cm per pixel and reveals much higher detail of the area under survey. In this paper, we will present the methods and results of our ongoing study.

Wissam Atwah, Doctoral

Environmental sicnrce and Engineering PH.D
The University of Texas At El Paso

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395144 - Using an Aerial Multispectral Sensor in Urban Areas for Assessing Changes over Time



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