基于图的传播改进云覆盖情景下地表温度估算

IF 4.6 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Iain Rolland, Sivasakthy Selvakumaran, Shaikh Fairul Edros Ahmad Shaikh, Perrine Hamel, Andrea Marinoni
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引用次数: 0

摘要

地表温度(LST)是一个重要的气候变量,它与能量和水的交换、植被生长和城市热岛效应等研究密切相关。虽然地表温度可以从卫星观测中获得,但这些方法依赖于无云采集。这在容易有云覆盖的地区是一个重大障碍。本文介绍了一种基于图的传播方法GraphProp。这种方法可以准确地获得由于云层覆盖而丢失的地表温度值。为了验证这种方法,提出了一系列使用综合模糊Landsat采集的实验。验证在六个城市地点的云层覆盖范围从10%到90%不等。在所提出的实验中,GraphProp在研究地点90%的云层覆盖情景下分别以小于1.1°C、1.0°C和1.8°C的平均绝对误差恢复了缺失的LST值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improving Land Surface Temperature Estimation in Cloud Cover Scenarios Using Graph-Based Propagation

Improving Land Surface Temperature Estimation in Cloud Cover Scenarios Using Graph-Based Propagation

Land surface temperature (LST) serves as an important climate variable which is relevant to a number of studies related to energy and water exchanges, vegetation growth and urban heat island effects. Although LST can be derived from satellite observations, these approaches rely on cloud-free acquisitions. This represents a significant obstacle in regions which are prone to cloud cover. In this paper, a graph-based propagation method, referred to as GraphProp, is introduced. This method can accurately obtain LST values which would otherwise have been missing due to cloud cover. To validate this approach, a series of experiments are presented using synthetically obscured Landsat acquisitions. The validation takes place over scenarios ranging from between 10% and 90% cloud cover across six urban locations. In presented experiments, GraphProp recovers missing LST values with a mean absolute error of less than 1.1°C, 1.0°C and 1.8°C in 90% cloud cover scenarios across the studied locations respectively.

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来源期刊
Geophysical Research Letters
Geophysical Research Letters 地学-地球科学综合
CiteScore
9.00
自引率
9.60%
发文量
1588
审稿时长
2.2 months
期刊介绍: Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.
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