Relationship between the distribution of aquatic plants and the water surface temperature using UAV with thermal infrared sensor.
Author:
Affiliation:
1. Faculty of Bioenvironmental Science, Kyoto Gakuen University
2. SkyEye
3. Greenfront Research Laboratory Ltd.
Publisher
Ecology and Civil Engineering Society
Subject
Ecology,Civil and Structural Engineering
Link
https://www.jstage.jst.go.jp/article/ece/22/2/22_155/_pdf
Reference16 articles.
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2. Berni J.A.J., Zarco-Tejada P.J., Suarez L. & Fereres E. (2009) Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing 47: 722-738.
3. Brown G.W. (1969) Predicting temperatures of small streams. Water Resources Research : 68-75.
4. Budy P., Baker M. & Dahle S.K. (2011) Predicting fish growth potential and identifying water quality constraints: a spatially-explicit bioenergetics approach. Environmental Management 48: 691.
5. Jensen A.M., Neilson B.T., McKee M. & Chen Y. (2012) Thermal remote sensing with an autonomous unmanned aerial remote sensing platform for surface stream temperatures. In 2012 IEEE International Geoscience and Remote Sensing Symposium: 5049-5052.
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1. Comparison of the accuracy of two UAV‐mounted uncooled thermal infrared sensors in predicting river water temperature;River Research and Applications;2022-07-18
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