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First results towards building up a reliable in situ measurements database for LST algorithm validations using modular WSN: Northern Morocco campaigns case study

机译:使用模块化WSN为LST算法验证建立可靠的原位测量数据库的初步结果:北摩洛哥战役案例研究

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摘要

Climate has changed throughout the 4.5 million year history of the globe. At the same time, natural and human activities are affected directly by the global change of Earth system attributes, such as increase in temperature. Land surface temperature (LST) is an important but highly variable climate parameter. Its spatial distribution and the characteristic of its diurnal change over wide areas can only be determined with remote-sensing methods. The power of wireless sensor network (WSN) technology has provided the capability of developing large-scale systems for remote-sensing algorithm and sensor validation.This article presents a new method (sensitivity ~0.1℃) for in situ LST measurements. The results of wide in situ LST campaigns carried out during 2009 in four distant and different sites located in northern Morocco are shown: (1) Kasr-Seghir, (2) Targha, (3) Tangier, and (4) Chefchaouen. For this purpose, we used two calibrated radiometers with thermal infrared bands, OSM101 and TESTO845. Finally, during these campaigns, a total of 28,531 measurements were made with the proposed wireless-LST (Wi-LST) system. The preliminary results show a wide variability of the measurements, which is in total accordance with the heterogeneity of the targets' nature. This is encouraging for we are interested in building up a reliable and consistent standard in situ LST measurements database for LST algorithm validations.
机译:在全球450万年的历史中,气候一直在变化。同时,自然和人类活动直接受到地球系统属性(例如温度升高)的全球变化的直接影响。地表温度(LST)是重要的但变化很大的气候参数。它的空间分布及其在大范围内日变化的特征只能通过遥感方法来确定。无线传感器网络(WSN)技术的强大功能为开发大型系统进行遥感算法和传感器验证提供了能力。本文提出了一种新的方法(灵敏度〜0.1℃)进行现场LST测量。显示了2009年在摩洛哥北部四个遥远且不同地点开展的广泛的LST运动的结果:(1)Kasr-Seghir,(2)Targha,(3)Tangier和(4)Chefchaouen。为此,我们使用了两个带有热红外波段的校准辐射计OSM101和TESTO845。最后,在这些活动中,使用建议的无线LST(Wi-LST)系统进行了总共28,531次测量。初步结果表明,测量值存在很大差异,这完全符合目标性质的异质性。这令人鼓舞,因为我们有兴趣为LST算法验证建立可靠且一致的标准LST测量原位数据库。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第10期|3153-3163|共11页
  • 作者单位

    Remote Sensing & Mobile GIS Unit, Innovation & Telecoms Engineering Research Group,National School for Applied Sciences of Tetuan (ENSA-Tetuan), University Abdelmalek Essaadi (UAE), Tetouan, Morocco;

    Global Change Unit (GCU), Imaging Processing Laboratory (IPL),University of Valencia (UV), Burjassot, Spain;

    Remote Sensing & Mobile GIS Unit, Innovation & Telecoms Engineering Research Group,National School for Applied Sciences of Tetuan (ENSA-Tetuan), University Abdelmalek Essaadi (UAE), Tetouan, Morocco,Faculty of Sciences of Tetuan, University Abdelmalek Essaadi (UAE), Tetouan, Morocco;

    Remote Sensing & Mobile GIS Unit, Innovation & Telecoms Engineering Research Group,National School for Applied Sciences of Tetuan (ENSA-Tetuan), University Abdelmalek Essaadi (UAE), Tetouan, Morocco,Faculty of Sciences of Tetuan, University Abdelmalek Essaadi (UAE), Tetouan, Morocco;

    Remote Sensing & Mobile GIS Unit, Innovation & Telecoms Engineering Research Group,National School for Applied Sciences of Tetuan (ENSA-Tetuan), University Abdelmalek Essaadi (UAE), Tetouan, Morocco,Faculty of Sciences of Tetuan, University Abdelmalek Essaadi (UAE), Tetouan, Morocco;

    Remote Sensing & Mobile GIS Unit, Innovation & Telecoms Engineering Research Group,National School for Applied Sciences of Tetuan (ENSA-Tetuan), University Abdelmalek Essaadi (UAE), Tetouan, Morocco,Faculty of Sciences of Tetuan, University Abdelmalek Essaadi (UAE), Tetouan, Morocco;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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