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From National to Global: Mapping Global Center-Pivot Irrigated Cropland with Knowledge Guided Data Augmentation

https://doi.org/10.2139/ssrn.5352243
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Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources
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Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon
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Groundwater depletion and sustainability of irrigation in the US High Plains and Central Valley
inferredcites →https://doi.org/10.1080/15481603.2023.2165256openalex-snapshot
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Self-Training With Noisy Student Improves ImageNet Classification
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Symmetric Cross Entropy for Robust Learning With Noisy Labels
inferredcites →https://doi.org/10.1109/jstars.2021.3104726openalex-snapshot
Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series
inferredcites →https://doi.org/10.1109/lagirs48042.2020.9165648openalex-snapshot
Detecting Center Pivots In Matopiba Using Hough Transform And Web Time Series Service
inferredcites →https://doi.org/10.1109/tgrs.2024.3385752openalex-snapshot
MSWAGAN: Multispectral Remote Sensing Image Super-Resolution Based on Multiscale Window Attention Transformer
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Adjacent Teacher: Semi-Supervised Oriented Object Detection Leveraging Adjacent Spatial Consistency Prior in Remote Sensing Images
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Learning From Noisy Labels With Deep Neural Networks: A Survey
inferredcites →https://doi.org/10.1111/gcb.13298openalex-snapshot
Land‐use change affects water recycling in Brazil's last agricultural frontier
inferredcites →https://doi.org/10.1126/sciadv.aaz6031openalex-snapshot
Global agricultural economic water scarcity
inferredcites →https://doi.org/10.1126/science.1244693openalex-snapshot
High-Resolution Global Maps of 21st-Century Forest Cover Change
inferredcites →https://doi.org/10.3386/w30093openalex-snapshot
Center Pivot Irrigation Systems as a Form of Drought Risk Mitigation in Humid Regions
inferredcites →https://doi.org/10.3390/agriculture8100147openalex-snapshot
Automatic Identification of Center Pivot Irrigation Systems from Landsat Images Using Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/rs12030558openalex-snapshot
Automatic Mapping of Center Pivot Irrigation Systems from Satellite Images Using Deep Learning
inferredcites →https://doi.org/10.3390/rs12121937openalex-snapshot
Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method
inferredcites →https://doi.org/10.3390/rs12132159openalex-snapshot
Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
inferredcites →https://doi.org/10.3390/rs16122248openalex-snapshot
Generating 10-Meter Resolution Land Use and Land Cover Products Using Historical Landsat Archive Based on Super Resolution Guided Semantic Segmentation Network
inferredcites →https://doi.org/10.3390/rs9121245openalex-snapshot
Barest Pixel Composite for Agricultural Areas Using Landsat Time Series
inferredcites →https://doi.org/10.5194/essd-16-5449-2024openalex-snapshot
Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations
inferredcites →https://doi.org/10.5194/essd-17-855-2025openalex-snapshot
GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods
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Influence of intensive agriculture and geological heterogeneity on the recharge of an arid aquifer system (Saq–Ram, Arabian Peninsula) inferred from GRACE data
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DETECTING CENTER PIVOTS IN MATOPIBA USING HOUGH TRANSFORM AND WEB TIME SERIES SERVICE
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The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data
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