Monitoring and regression analysis of landfill surface temperatures using remote sensing and image processing techniques

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-07-12 DOI:10.1080/01431161.2024.2372081

Kislaye Sharma, Meenakshi Sood, Amod Kumar

引用次数: 0

Abstract

Advancements in satellite technology coupled with image processing, statistical tools and Artificial Intelligence (AI) algorithms, enable efficient, non-invasive, real-time monitoring and analysis ...

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利用遥感和图像处理技术对垃圾填埋场表面温度进行监测和回归分析

卫星技术的进步与图像处理、统计工具和人工智能（AI）算法相结合，实现了高效、非侵入式的实时监测和分析......

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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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).