التفاصيل البيبلوغرافية
| العنوان: |
Estimating Global Wheat Yields at 4 km Resolution during 1982–2020 by a Spatiotemporal Transferable Method |
| المؤلفون: |
Zhao Zhang, Yuchuan Luo, Jichong Han, Jialu Xu, Fulu Tao |
| المصدر: |
Remote Sensing, Vol 16, Iss 13, p 2342 (2024) |
| بيانات النشر: |
MDPI AG, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Science |
| مصطلحات موضوعية: |
spatiotemporal transferable method, global wheat, yield estimates, remote sensing, Science |
| الوصف: |
Reliable and spatially explicit information on global crop yield has paramount implications for food security and agricultural sustainability. However, most previous yield estimates are either coarse-resolution in both space and time or are based on limited studied areas. Here, we developed a transferable approach to estimate 4 km global wheat yields and provide the related product from 1982 to 2020 (GlobalWheatYield4km). A spectra–phenology integration method was firstly proposed to identify spatial distributions of spring and winter wheat, followed by choosing the optimal yield prediction model at 4 km grid scale, with openly accessible data, including subnational-level census data covering ~11,000 political units. Finally, the optimal models were transferred at both spatial and temporal scales to obtain a consistent yield dataset product. The results showed that GlobalWheatYield4km captured 82% of yield variations with an RMSE of 619.8 kg/ha, indicating good temporal consistency (r and nRMSE ranging from 0.4 to 0.8 and 13.7% to 37.9%) with the observed yields across all subnational regions covering 40 years. In addition, our dataset generally had a higher accuracy (R2 = 0.71) as compared with the Spatial Production Allocation Model (SPAM) (R2 = 0.49). The method proposed for the global yield estimate would be applicable to other crops and other areas during other years, and our GlobalWheatYield4km dataset will play important roles in agro-ecosystem modeling and climate impact and adaptation assessment over larger spatial extents. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2072-4292 |
| Relation: |
https://www.mdpi.com/2072-4292/16/13/2342; https://doaj.org/toc/2072-4292 |
| DOI: |
10.3390/rs16132342 |
| URL الوصول: |
https://doaj.org/article/e6e416f6c7c44b658bada46b6e6dc372 |
| رقم الانضمام: |
edsdoj.6e416f6c7c44b658bada46b6e6dc372 |
| قاعدة البيانات: |
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