Abstract
High resolution Light Detection and Ranging (LiDAR)-derived Digital Elevation Models (DEMs) have significantly enhanced hydrological modeling and agricultural planning. However, it is important to accurately simulate the landscape flow network by modifying the LiDAR derived DEM. Hydro-conditioning identifies false pools and depressions and places breach lines to ensure continuous flow through the surfaces such as bridges, culverts, and railroads. This study explores the variations in the criteria namely flow network, impeded flows, depression etc. which determine the finest locations of best management practices using watershed models. Study compares different levels of hydro-conditioned DEMs for the Plum Creek sub-watershed, Minnesota. Results indicate that both manual and automated ‘hDEMs’ facilitate field scale planning and practice siting to different degrees. Outcomes help in planning cost-effective precision agriculture activities.
Original language | English (US) |
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Title of host publication | Advances in Computational Modeling and Simulation |
Editors | Rallapalli Srinivas, Rajesh Kumar, Mainak Dutta |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 209-215 |
Number of pages | 7 |
ISBN (Print) | 9789811678561 |
DOIs | |
State | Published - 2022 |
Event | Global meet on Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020 - Virtual, Online Duration: Oct 16 2020 → Nov 7 2020 |
Publication series
Name | Lecture Notes in Mechanical Engineering |
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ISSN (Print) | 2195-4356 |
ISSN (Electronic) | 2195-4364 |
Conference
Conference | Global meet on Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020 |
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City | Virtual, Online |
Period | 10/16/20 → 11/7/20 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords
- Agricultural planning
- Hydro-conditioning
- Hydrology
- LiDAR