81 citations as recorded by crossref.

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3. Early-Season Mapping of Winter Wheat and Garlic in Huaihe Basin Using Sentinel-1/2 and Landsat-7/8 Imagery Y. Guo et al. 10.1109/JSTARS.2022.3215589
4. Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm Y. Fu et al. 10.1016/j.srs.2023.100081
5. A novel method for optimizing regional-scale management zones based on a sustainable environmental index Y. Li et al. 10.1007/s11119-023-10067-z
6. Sentinel SAR-optical fusion for improving in-season wheat crop mapping at a large scale using machine learning and the Google Earth engine platform L. Zoungrana et al. 10.1007/s12518-023-00545-4
7. A dataset of winter wheat aboveground biomass in China during 2007–2015 based on data assimilation H. Huang et al. 10.1038/s41597-022-01305-6
8. Optimization of Characteristic Phenological Periods for Winter Wheat Extraction Using Remote Sensing in Plateau Valley Agricultural Areas in Hualong, China S. Lv et al. 10.3390/rs15010028
9. Evaluation of Different Methods on the Estimation of the Daily Crop Coefficient of Winter Wheat J. Fang et al. 10.3390/w15071395
10. Smallholder Crop Type Mapping and Rotation Monitoring in Mountainous Areas with Sentinel-1/2 Imagery T. Ren et al. 10.3390/rs14030566
11. Artificial grassland mapping using artificial grassland detection index of vegetation growth in the Three-River Headwaters region W. Liu et al. 10.1016/j.ecolind.2023.110869
12. Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China B. Qiu et al. 10.1016/j.cj.2023.12.010
13. Mapping the Dynamics of Winter Wheat in the North China Plain from Dense Landsat Time Series (1999 to 2019) W. Zhang et al. 10.3390/rs13061170
14. A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery L. Xun et al. 10.1016/j.isprsjprs.2021.08.021
15. Comparison of Winter Wheat Extraction Methods Based on Different Time Series of Vegetation Indices in the Northeastern Margin of the Qinghai–Tibet Plateau: A Case Study of Minhe, China F. Huang et al. 10.3390/rs14020343
16. Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products J. Wang et al. 10.3390/agriculture12101707
17. Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China R. Chen et al. 10.3390/rs15163958
18. Spatiotemporally Mapping Non-Grain Production of Winter Wheat Using a Developed Auto-Generating Sample Algorithm on Google Earth Engine M. Zhang et al. 10.3390/rs16040659
19. How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production X. Huang et al. 10.3390/rs14236062
20. High-resolution atmospheric mercury emission from open biomass burning in China: Integration of localized emission factors and multi-source finer resolution remote sensing data Z. Xu et al. 10.1016/j.envint.2023.108102
21. Early-season and refined mapping of winter wheat based on phenology algorithms - a case of Shandong, China X. Liu et al. 10.3389/fpls.2023.1016890
22. Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles H. Tian et al. 10.1007/s12524-021-01428-0
23. Mapping Waterlogging Damage to Winter Wheat Yield Using Downscaling–Merging Satellite Daily Precipitation in the Middle and Lower Reaches of the Yangtze River W. Liu et al. 10.3390/rs15102573
24. Evaluation of advanced time series similarity measures for object-based cropland mapping W. He et al. 10.1080/01431161.2023.2227318
25. The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing S. Liu et al. 10.3390/rs14040893
26. Bayesian Posterior-Based Winter Wheat Yield Estimation at the Field Scale through Assimilation of Sentinel-2 Data into WOFOST Model Y. Wu et al. 10.3390/rs14153727
27. An Open Data Approach for Estimating Vegetation Gross Primary Production at Fine Spatial Resolution S. Lin et al. 10.3390/rs14112651
28. Mapping Winter Wheat with Optical and SAR Images Based on Google Earth Engine in Henan Province, China C. Li et al. 10.3390/rs14020284
29. High-resolution map of sugarcane cultivation in Brazil using a phenology-based method Y. Zheng et al. 10.5194/essd-14-2065-2022
30. A Lightweight Winter Wheat Planting Area Extraction Model Based on Improved DeepLabv3+ and CBAM Y. Zhang et al. 10.3390/rs15174156
31. High spatial resolution vegetation gross primary production product: Algorithm and validation X. Huang et al. 10.1016/j.srs.2022.100049
32. Multisource Remote Sensing Data-Based Flood Monitoring and Crop Damage Assessment: A Case Study on the 20 July 2021 Extraordinary Rainfall Event in Henan, China M. Zhang et al. 10.3390/rs14225771
33. A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands Q. Peng et al. 10.3389/fenvs.2022.1089007
34. Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery H. Tian et al. 10.3390/rs13193822
35. Integration of harvester trajectory and satellite imagery for large-scale winter wheat mapping using deep positive and unlabeled learning X. Xiong et al. 10.1016/j.compag.2023.108487
36. Early-Season Crop Classification Based on Local Window Attention Transformer with Time-Series RCM and Sentinel-1 X. Zhou et al. 10.3390/rs16081376
37. A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images R. Shen et al. 10.34133/2022/9846712
38. A Rapid Model (COV_PSDI) for Winter Wheat Mapping in Fallow Rotation Area Using MODIS NDVI Time-Series Satellite Observations: The Case of the Heilonggang Region X. Zhang et al. 10.3390/rs13234870
39. A Satellite-Based Method for National Winter Wheat Yield Estimating in China Y. Fu et al. 10.3390/rs13224680
40. Incorporating Environmental Variables Into Spatiotemporal Fusion Model to Reconstruct High-Quality Vegetation Index Data X. Li et al. 10.1109/TGRS.2024.3349513
41. Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier H. Fei et al. 10.3390/rs14040829
42. Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat H. Tian et al. 10.1080/10095020.2024.2311868
43. A 30 m annual maize phenology dataset from 1985 to 2020 in China Q. Niu et al. 10.5194/essd-14-2851-2022
44. Cotton lands induced cooling effect on land surface temperature in Xinjiang, China J. Dong et al. 10.1016/j.agrformet.2024.110004
45. Mercury fractionation, bioavailability, and the major factors predicting its transfer and accumulation in soil–wheat systems S. Hussain et al. 10.1016/j.scitotenv.2022.157432
46. A twenty-year dataset of high-resolution maize distribution in China Q. Peng et al. 10.1038/s41597-023-02573-6
47. Climatic impacts induced by winter wheat irrigation over North China simulated by the nonhydrostatic RegCM4.7 J. WU et al. 10.1016/j.accre.2024.04.002
48. Improving grassland classification accuracy using optimal spectral-phenological-topographic features in combination with machine learning algorithm H. Yu et al. 10.1016/j.ecolind.2023.111392
49. Investigating the Potential of Crop Discrimination in Early Growing Stage of Change Analysis in Remote Sensing Crop Profiles M. Wei et al. 10.3390/rs15030853
50. Winter Wheat Extraction Using Time-Series Sentinel-2 Data Based on Enhanced TWDTW in Henan Province, China X. Wang et al. 10.3390/su15021490
51. Air temperature estimation over winter wheat fields by integrating machine learning and remote sensing techniques C. Xu et al. 10.1016/j.jag.2023.103416
52. Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method X. Wang et al. 10.1080/15481603.2024.2333587
53. Automated in-season mapping of winter wheat in China with training data generation and model transfer G. Yang et al. 10.1016/j.isprsjprs.2023.07.004
54. Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data X. Huang et al. 10.1080/15481603.2022.2104999
55. Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery H. Li et al. 10.1109/TGRS.2024.3361895
56. Development of a Phenology-Based Method for Identifying Sugarcane Plantation Areas in China Using High-Resolution Satellite Datasets Y. Zheng et al. 10.3390/rs14051274
57. The 10-m cotton maps in Xinjiang, China during 2018–2021 X. Kang et al. 10.1038/s41597-023-02584-3
58. Monitoring and Mapping Winter Wheat Spring Frost Damage with MODIS Data and Statistical Data D. Chen et al. 10.3390/plants12233954
59. Random hierarchical model for estimation of wheat yield in the North China Plain at different spatial scales X. Xu et al. 10.1016/j.fcr.2023.109226
60. A New Multiple Phenological Spectral Feature for Mapping Winter Wheat W. Cai et al. 10.3390/rs14184529
61. A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery J. Yang et al. 10.1016/j.isprsjprs.2023.07.017
62. Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat Q. Shen et al. 10.1109/JSTARS.2022.3148393
63. Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022 M. Li et al. 10.5194/essd-15-4181-2023
64. A comparison of moderate and high spatial resolution satellite data for modeling gross primary production and transpiration of native prairie, alfalfa, and winter wheat J. Celis et al. 10.1016/j.agrformet.2023.109797
65. Inversion of heavy metal copper content in soil-wheat systems using hyperspectral techniques and enrichment characteristics L. Zhong et al. 10.1016/j.scitotenv.2023.168104
66. Patterns and causes of winter wheat and summer maize rotation area change over the North China Plain Z. Liu et al. 10.1088/1748-9326/ac6006
67. ChinaWheatYield30m: a 30 m annual winter wheat yield dataset from 2016 to 2021 in China Y. Zhao et al. 10.5194/essd-15-4047-2023
68. AUTS: A Novel Approach to Mapping Winter Wheat by Automatically Updating Training Samples Based on NDVI Time Series C. Wang et al. 10.3390/agriculture12060817
69. Spatial-Temporal Neural Network for Rice Field Classification from SAR Images Y. Chang et al. 10.3390/rs14081929
70. Recent soybean subsidy policy did not revitalize but stabilize the soybean planting areas in Northeast China Y. Di et al. 10.1016/j.eja.2023.126841
71. Mapping annual 10-m maize cropland changes in China during 2017–2021 X. Li et al. 10.1038/s41597-023-02665-3
72. WPS:A whole phenology-based spectral feature selection method for mapping winter crop from time-series images M. Liu et al. 10.1016/j.isprsjprs.2024.03.005
73. Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series Z. Lin et al. 10.3390/rs14030699
74. The effects of Landsat image acquisition date on winter wheat classification in the North China Plain L. Fan et al. 10.1016/j.isprsjprs.2022.02.016
75. High-resolution distribution maps of single-season rice in China from 2017 to 2022 R. Shen et al. 10.5194/essd-15-3203-2023
76. The 10-meter Winter Wheat Mapping in Shandong Province Using Sentinel-2 Data and Coarse Resolution Maps X. Qi et al. 10.1109/JSTARS.2022.3220698
77. High Resolution Distribution Dataset of Double-Season Paddy Rice in China B. Pan et al. 10.3390/rs13224609
78. High-Resolution Mapping of Winter Cereals in Europe by Time Series Landsat and Sentinel Images for 2016–2020 X. Huang et al. 10.3390/rs14092120
79. Agricultural land management extends the duration of the impacts of extreme climate events on vegetation in double–cropping systems in the Yangtze–Huai plain China T. Chen et al. 10.1016/j.ecolind.2023.111488
80. Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China P. Chen et al. 10.1016/j.compag.2023.108201
81. Sample-free automated mapping of double-season rice in China using Sentinel-1 SAR imagery X. Zhang et al. 10.3389/fenvs.2023.1207882