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Monitoring winter wheat growth stages using a crop reference curve-based meteorology-adjusted model

https://doi.org/10.2139/ssrn.6300897
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Key developmental stages of winter wheat,Triticum aestivum
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Modelling the impacts of climate change and crop management on phenological trends of spring and winter wheat in China
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Performance of nine maize phenology models in China under historical climate change conditions
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Base and upper temperature thresholds to support the calculation of growing degree days aiming at their use with the FAO56rev crop coefficients curve: A review
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In-field automatic observation of wheat heading stage using computer vision
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Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data
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Detection of phenology using an improved shape model on time-series vegetation index in wheat
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Monitoring Apple Flowering Date at 10 M Spatial Resolution Based on Crop Reference Curves
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Improving land surface phenology extraction through space-aware neural networks
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Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data
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Wheat phenology detection with the methodology of classification based on the time-series UAV images
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Refined shape model fitting methods for detecting various types of phenological information on major U.S. crops
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Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series
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Hybrid phenology matching model for robust crop phenological retrieval
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Near real-time detection and forecasting of within-field phenology of winter wheat and corn using Sentinel-2 time-series data
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A spatiotemporal shape model fitting method for within-season crop phenology detection
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Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
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A phenology-based vegetation index for improving ratoon rice mapping using harmonized Landsat and Sentinel-2 data
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A crop phenology detection method using time-series MODIS data
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Real-time monitoring and short-term forecasting of land surface phenology
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A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data
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MODIS-based corn grain yield estimation model incorporating crop phenology information
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A hybrid approach for detecting corn and soybean phenology with time-series MODIS data
inferredcites →https://doi.org/10.1016/j.rse.2017.04.031openalex-snapshot
A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems
inferredcites →https://doi.org/10.1016/j.rse.2018.06.047openalex-snapshot
Generation and evaluation of the VIIRS land surface phenology product
inferredcites →https://doi.org/10.1016/j.rse.2019.03.028openalex-snapshot
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems
inferredcites →https://doi.org/10.1016/j.rse.2019.111511openalex-snapshot
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
inferredcites →https://doi.org/10.1016/j.rse.2020.111685openalex-snapshot
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
inferredcites →https://doi.org/10.1016/j.rse.2023.113729openalex-snapshot
Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations
inferredcites →https://doi.org/10.1016/j.rse.2023.113800openalex-snapshot
A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level
inferredcites →https://doi.org/10.1016/j.rse.2025.114605openalex-snapshot
Near real-time corn and soybean mapping at field-scale by blending crop phenometrics with growth magnitude from multiple temporal and spatial satellite observations
inferredcites →https://doi.org/10.1016/s0034-4257(02)00135-9openalex-snapshot
Monitoring vegetation phenology using MODIS
inferredcites →https://doi.org/10.1038/s41597-024-04065-7openalex-snapshot
Annual winter wheat mapping dataset in China from 2001 to 2020
inferredcites →https://doi.org/10.1080/01431168508948281openalex-snapshot
Analysis of the phenology of global vegetation using meteorological satellite data
inferredcites →https://doi.org/10.1109/igarss46834.2022.9884239openalex-snapshot
A Improved Shape Model for Phenology Detection of Early Rice
inferredcites →https://doi.org/10.1109/jstars.2021.3087814openalex-snapshot
Optimal Color Composition Method for Generating High-Quality Daily Photographic Time Series From PhenoCam
inferredcites →https://doi.org/10.1371/journal.pone.0222639openalex-snapshot
Heat stress responses in a large set of winter wheat cultivars (Triticum aestivum L.) depend on the timing and duration of stress
inferredcites →https://doi.org/10.2307/3235884openalex-snapshot
Measuring phenological variability from satellite imagery
inferredcites →https://doi.org/10.3390/agronomy11091845openalex-snapshot
The Impact of Global Warming on the Winter Wheat Production of China
inferredcites →https://doi.org/10.3390/rs10071020openalex-snapshot
Detection of Cropland Change Using Multi-Harmonic Based Phenological Trajectory Similarity
inferredcites →https://doi.org/10.3390/rs12183046openalex-snapshot
Dynamic Remote Sensing Prediction for Wheat Fusarium Head Blight by Combining Host and Habitat Conditions
inferredcites →https://doi.org/10.5194/essd-12-3081-2020openalex-snapshot
Early-season mapping of winter wheat in China based on Landsat and Sentinel images
inferredcites →https://doi.org/10.5194/essd-13-4349-2021openalex-snapshot
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
inferredcites →https://doi.org/10.5194/essd-14-2851-2022openalex-snapshot
A 30 m annual maize phenology dataset from 1985 to 2020 in China
inferredcites →https://doi.org/10.5194/essd-15-4047-2023openalex-snapshot
ChinaWheatYield30m: a 30 m annual winter wheat yield dataset from 2016 to 2021 in China
inferredcites →https://doi.org/10.5194/essd-17-95-2025openalex-snapshot
High-resolution mapping of global winter-triticeae crops using a sample-free identification method
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