主动和被动遥感数据在干旱探测中的应用

Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia Pub Date : 1900-01-01 DOI:10.4108/eai.9-9-2021.2313638

A. S. Adi Nugraha, I. P. Ananda Citra

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引用次数: 0

摘要

本研究旨在找出如何通过使用主动和被动传感器检查分布来检测干旱。主动传感器使用Sentinel 1-A和RGB复合材料作为干旱检测方法，并结合营养指数。无源传感器采用Landsat 8 OLI/TIR和TVDI方法，强调地表温度和植被指数。结果表明，RGB复合材料的有源传感器即使在明显的居民区也能识别干旱条件。而被动传感器与TVDI清楚地显示干旱的传播。TVDI本身是通过了解地表温度与植被指数之间的关系来进行的，结果表明相关性很高，为0.99和0.97。这表明，与陆地卫星相比，1-A哨兵仍然需要一种独特的算法来识别干旱。

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The Application of Active and Passive Remote Sensing Data for Drought Detection

This study aims to find out how to detect drought by examining distribution using active and passive sensors. Active sensors use Sentinel 1-A and RGB composites as a drought detection approach combined with vegetative indices. The passive sensors use Landsat 8 OLI/TIR with the TVDI method and emphasize the surface temperature and vegetation index. The results showed that active sensors with RGB Composites could distinguish drought conditions even with conspicuous residential areas. Whereas passive sensors with TVDI clearly show the propagation of drought. The TVDI itself is performed by knowing the relationship between surface temperature and vegetation index where the results indicate a high association of 0.99 and 0.97. It suggests that the 1-A sentry still needs a unique algorithm to identify droughts compared to Landsat.

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Proceedings of the 3rd International Conference on Law, Social Sciences, and Education, ICLSSE 2021, 09 September 2021, Singaraja, Bali, Indonesia

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