在世界谷物框架下生成冬小麦全球作物日历

Juanma Cintas Rodríguez, B. Franch, I. Becker-Reshef, S. Skakun, J. Sobrino, K. V. Tricht, J. Degerickx, S. Gilliams
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引用次数: 1

摘要

在本研究中,我们提出了一种在世界谷物项目框架下,基于粮农组织和GEOGLAM作物监测系统现有作物日历产品开发全球冬小麦作物日历的方法。它基于作物监测系统的准确性和联合国粮食及农业组织(粮农组织)的空间分辨率,将两个数据集整合在一起。此外,考虑到WorldCereal的全球范围以及两种产品在全球范围内存在的差距,我们模拟了那些没有被任何产品覆盖的地区的作物日历。为此,我们集成了一个Regression-Kriging模型,考虑从两个产品中获得的日历作为训练数据,并基于纬度、高度和到海岸的距离(DTC)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generating Winter Wheat Global Crop Calendars in the Framework of Worldcereal
In this study we present a methodology to develop a global winter wheat crop calendar based on the existing crop calendar products from FAO and GEOGLAM Crop Monitor in the framework of the WorldCereal project. It is based on integrating both datasets by building on the accuracy from Crop Monitor and the spatial resolution from the Food and Agriculture Organization of the United Nations (FAO). Additionally, given the global extent of WorldCereal and the gaps that both products present at global scale, we simulated the crop calendars in those areas not covered by any of the products. To do so, we integrated a Regression-Kriging model considering as training data the calendars derived from both products and based on the latitude, height and distance to the coast (DTC).
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