构建近实时MODIS数据融合工作流支持农业决策应用

2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics) Pub Date : 2019-07-16 DOI:10.1109/Agro-Geoinformatics.2019.8820229

Li Lin, L. Di, Chen Zhang, Liying Guo, Junmei Tang, E. Yu, M. S. Rahman, Haoteng Zhao, Zhiqi Yu, Ziheng Sun, Juozas Gaigalas

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引用次数: 3

摘要

WaterSmart项目是美国国家科学基金会资助的一个项目，旨在利用卫星观测减少用水量。为了满足精细的时间分辨率要求，卫星需要具有较高的重访周期。在空间分辨率过于粗糙的情况下，MODIS的日常覆盖是一个理想的地面监测平台。研究已经证明了利用Landsat 8图像提高MODIS空间分辨率的可能性。本研究旨在建立一种适应数据融合算法的工作流，实现实时的自动处理，以支持短期决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Building Near-Real-Time MODIS Data Fusion Workflow to Support Agricultural Decision-making Applications

WaterSmart project is an NSF funded projected seeks water consumption reduction using satellite observations. In order to fit the fine temporal resolution requirement, satellites are required to have a high revisit cycle. MODIS is an ideal platform for monitoring the ground thanks to its daily coverage while the spatial resolution is too coarse. Research has demonstrated the possibility to improve the spatial resolution of MODIS using the Landsat 8 images. This research is aimed to establish a workflow to adapt the data fusion algorithm to achieve automatically processing at real-time in order to support short-term decision making.

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2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)

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