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ZENODO
Dataset . 2023
License: CC BY NC
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY NC
Data sources: ZENODO
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Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery

Authors: Dakota S. Dale; Lu Liang; Liheng Zhong; Michele L. Reba; Benjamin R.K. Runkle;

Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery

Abstract

This dataset contains the two datasets detailed in "Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery" by D.S. Dale Et al. (2023). The file "LonokeComplete.zip" file contains 16 .lif files that were used in the training and testing phase of the study. The "55tilesComplete.zip" file contains 110 .tif files (55 image and 55 label). These images were used to assess the models spatial transferability. Both file configurations are processed by the code linked in the paper.

Supported in Part by NASA Water Resources Award 80NSSC22K0923 and U.S. Geological Survey under Cooperative Agreement G20AC00448 and G21AC10729.

{"references": ["DS Dale Et al., 2023"]}

Keywords

Remote Sensing, Agriculture, Irrigation, ResNet

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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