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Type: | Resource | |
Storage: | The size of this resource is 194.3 MB | |
Created: | Mar 05, 2024 at 4:15 p.m. | |
Last updated: | Mar 19, 2024 at 4:17 p.m. | |
Citation: | See how to cite this resource | |
Content types: | Single File Content Geographic Feature Content Geographic Raster Content |
Sharing Status: | Public |
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Views: | 379 |
Downloads: | 34 |
+1 Votes: | Be the first one to this. |
Comments: | 1 comment |
Abstract
This project is an attempt to gather water information about water quality from remediation ponds by correlating aquatic vegetation extents. The study has two parts: 1) identifying the aquatic vegetation by spectral signature, and 2) monitoring water quality in the remediation ponds through time. The data presented here is the the multispectral data acquired using a Matrice 300 RTK drone equipped with a MicaSense RedEdge-P sensor.
Subject Keywords
Coverage
Spatial
Temporal
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Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Science Foundation | BRITE Pivot: Toweards Intelligent Health Monitoring, Inspection, and Reconnaissance of Critical Infrastructure using Autonomous Robots | None |
National Science Foundation | BRITE Pivot: Toweards Intelligent Health Monitoring, Inspection, and Reconnaissance of Critical Infrastructure using Autonomous Robots | None |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Jacob Anderson 8 months, 2 weeks ago
Looks good! The points in each csv file are collected using a multispectral drone camera but what do they represent? Could you explain that a little more?
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