William Reckling

Works (3)

Updated: June 19th, 2023 08:55

2023 journal article

Predicting residential septic system malfunctions for targeted drone inspections

Remote Sensing Applications: Society and Environment, 30, 100936.

By: W. Reckling n, J. Levine n , S. Nelson n  & H. Mitasova n 

author keywords: Unmanned aerial system; UAS; Drone; Predictive modeling; Machine learning; Septic system malfunction
topics (OpenAlex): Remote Sensing in Agriculture; Remote Sensing and LiDAR Applications; Flood Risk Assessment and Management
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: February 16, 2023

2022 article

Rapid-DEM: Rapid Topographic Updates through Satellite Change Detection and UAS Data Fusion

White, C. T., Reckling, W., Petrasova, A., Meentemeyer, R. K., & Mitasova, H. (2022, April 2). Remote Sensing, Vol. 4, p. 1718.

By: C. White n , W. Reckling n, A. Petrasova n , R. Meentemeyer n  & H. Mitasova n 

author keywords: change detection; digital elevation model; lidar; drone; PlanetScope; GRASS GIS; Google Earth Engine; OpenStreetMap; urban change
topics (OpenAlex): Remote Sensing and LiDAR Applications; Remote Sensing in Agriculture; Flood Risk Assessment and Management
TL;DR: Rapid-DEM is presented, a framework that identifies and prioritizes locations with a high likelihood of an urban topographic change to target UAS data acquisition and fusion to provide up-to-date DEM. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 7, 2022

2021 article

Efficient Drone-Based Rare Plant Monitoring Using a Species Distribution Model and AI-Based Object Detection

Reckling, W., Mitasova, H., Wegmann, K., Kauffman, G., & Reid, R. (2021, October 2). Drones, Vol. 5, p. 110.

By: W. Reckling n, H. Mitasova n , K. Wegmann n , G. Kauffman* & R. Reid*

Contributors: W. Reckling n, H. Mitasova n , K. Wegmann n , G. Kauffman* & R. Reid*

author keywords: UAS; flight planning; orthomosaic; species distribution modeling; endangered species; Geum Radiatum; Blue Ridge Mountains; object detection; machine learning; cliff mapping
topics (OpenAlex): Species Distribution and Climate Change; Remote Sensing in Agriculture; Remote Sensing and LiDAR Applications
TL;DR: The presented research provides a data-driven approach to plan targeted UAS flight areas from predictive modeling, improving UAS data collection for rare plant monitoring. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 7, 2021

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