Low and high spatial resolution time series fusion for improved land cover map production

J. Inglada, O. Hagolle, G. Dedieu
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引用次数: 7

Abstract

In the coming years, several optical space-borne systems with high resolution, high temporal frequency revisit and constant viewing angles will be launched. The availability of these data opens the opportunity for the development of new applications which require to closely monitor the temporal trajectory of the characteristics of land surfaces. However, due to cloud cover and even to some rapid changes, a higher temporal resolution may be needed for some applications. One of the ways to improve the temporal resolution for these satellites is to merge their data with higher temporal resolution systems. For now, these other systems will fatally have a lower spatial resolution or a limited field of view. The goal of our work is to assess the usefulness of image fusion techniques for the joint use of Proba-V/Sentinel-3 data and Venus/Sentinel−2 images for land-cover monitoring. We are interested in the generation of land-cover maps and time profiles of surface reflectances with a spatial resolution of 10 to 30 m. with an update frequency of about 10 days.
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低、高空间分辨率时间序列融合改进土地覆盖图制作
在未来几年中,将发射几个具有高分辨率、高时间频率重访和恒定视角的光学星载系统。这些数据的可用性为开发新的应用提供了机会,这些应用需要密切监测陆地表面特征的时间轨迹。然而,由于云层覆盖甚至一些快速变化,某些应用可能需要更高的时间分辨率。提高这些卫星时间分辨率的方法之一是将它们的数据与更高时间分辨率的系统合并。目前,这些系统的空间分辨率很低,视野也很有限。我们的工作目标是评估图像融合技术在联合使用Proba-V/Sentinel-3数据和Venus/Sentinel - 2图像进行土地覆盖监测方面的有用性。我们感兴趣的是生成空间分辨率为10至30米的土地覆盖图和地表反射率时间剖面,更新频率约为10天。
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