25 citations as recorded by crossref.

1. RICA: A rice crop calendar for Asia based on MODIS multi year data B. Mishra et al.
2. Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS) X. Xu et al.
3. Reproduction of historical water balance in the Aral Sea Basin: The physically-based framework to quantify water consumption components in endorheic lake Y. Touge et al.
4. Optimality-based modelling of wheat sowing dates globally S. Qiao et al.
5. Assessing and addressing the global state of food production data scarcity E. Kebede et al.
6. Beyond Fixed Dates and Coarse Resolution: Developing a Dynamic Dry Season Crop Calendar for Paddy in Indonesia from 2001 to 2021 A. Irawan & D. Komori
7. A Remote Sensing Approach for Biomass Assessment in Winter Wheat Using the NDVI Second Derivative in Terms of NIR A. Atanasov et al.
8. GCPE: The global dataset of crop phenological events for agricultural and earth system modeling A. MORI et al.
9. A Data-Intensive Approach to Address Food Sustainability: Integrating Optic and Microwave Satellite Imagery for Developing Long-Term Global Cropping Intensity and Sowing Month from 2001 to 2015 A. Sakti & W. Takeuchi
10. Comparative analysis of flash and traditional droughts in the Kashkadarya region, Uzbekistan V. Rakhmatova et al.
11. Copernicus global crop productivity indicators: An evaluation based on regionally reported yields S. Chevuru et al.
12. RiceStageSeg: A Multimodal Benchmark Dataset for Semantic Segmentation of Rice Growth Stages J. Zhang et al.
13. Monsoon Asia Rice Calendar (MARC): a gridded rice calendar in monsoon Asia based on Sentinel-1 and Sentinel-2 images X. Zhao et al.
14. ChinaRiceCalendar – seasonal crop calendars for early-, middle-, and late-season rice in China H. Li et al.
15. A comparison of global agricultural monitoring systems and current gaps S. Fritz et al.
16. Incorporating climate data with machine learning can improve rice phenology estimation Y. Liu et al.
17. Threats of tropical cyclone on cropping systems and crop calendar of rice in India: Issues, policy practice gap and adaptation strategies I. Chowdhuri & S. Pal
18. Field-Scale Crop Seeding Date Estimation from MODIS Data and Growing Degree Days in Manitoba, Canada T. Dong et al.
19. GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery M. Zhang et al.
20. Detecting Recent Crop Phenology Dynamics in Corn and Soybean Cropping Systems of Kentucky Y. Yang et al.
21. Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data Y. Yang et al.
22. A review of global gridded cropping system data products K. Kim et al.
23. Toward hyper-resolution global hydrological models including human activities: application to Kyushu island, Japan N. Hanasaki et al.
24. Integration of prognostic sowing and harvesting schemes to enhance crop dynamic growth simulation in Noah-MP-Crop model F. Wang et al.
25. Modeling the Global Sowing and Harvesting Windows of Major Crops Around the Year 2000 T. Iizumi et al.