Use of Landsat thermal imagery for dynamically monitoring spontaneous combustion of Datong Jurassic coalfields in China

Xue, Yiguo; Li, Jun; Shang, Changsheng; Zhao, Jing; Zhang, Mingmei

doi:10.1007/s12040-018-0952-1

Cited by 4 publications

(3 citation statements)

References 29 publications

(28 reference statements)

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“…Conventionally, the spatial LST‐based method has been widely used in coal fire detection; however, it merely approximately indicates the segment threshold of temperature for coal fires. More specifically, the threshold can be set with the confidence level in accordance with the field survey of the LST anomaly in typical coal fire regions (Gangopadhyay et al., 2006; Xue et al., 2018). In addition to the spatial pattern and size, the spreading direction and development of dynamic coal fire can be captured by employing multi‐temporal satellite LST, which is essential for controlling coal fire propagation and preventing energy loss (Biswal & Gorai, 2020; Huo et al., 2015).…”

Section: Applications Of Lstmentioning

confidence: 99%

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

Duan

et al. 2023

Reviews of Geophysics

176

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Land surface temperature (LST) is a crucial parameter that reflects land-atmosphere interaction and has thus attracted wide interest from geoscientists. Owing to the rapid development of Earth observation technologies, remotely sensed LST is playing an increasingly essential role in various fields. This review aims to summarize the progress in LST estimation algorithms and accelerate its further applications. Thus, we briefly review the most-used thermal infrared (TIR) LST estimation algorithms. More importantly, this review provides a comprehensive collection of the widely used TIR-based LST products and offers important insights into the uncertainties in these products with respect to different land cover conditions via a systematic intercomparison analysis of several representative products. In addition to the discussion on product accuracy, we address problems related to the spatial discontinuity, spatiotemporal incomparability, and short time span of current LST products by introducing the most effective methods. With the aim of overcoming these challenges in available LST products, much progress has been made in developing spatiotemporal seamless LST data, which significantly promotes the successful applications of these products in the field of surface evapotranspiration and soil moisture estimation, agriculture drought monitoring, thermal environment monitoring, thermal anomaly monitoring, and climate change. Overall, this review encompasses the most recent advances in TIR-based LST and the state-of-the-art of applications of LST products at various spatial and temporal scales, identifies critical further research needs and directions to advance and optimize retrieval methods, and promotes the application of LST to improve the understanding of surface thermal dynamics and exchanges.Plain Language Summary Land surface temperature (LST) is a crucial geophysical parameter related to surface energy and water balance of the land-atmosphere system. Satellite remote sensing provides the best way to measure LST and generate various LST products at regional and global scales. In this review, to facilitate the application of LST products in different fields, we first present the physical meaning of satellite-derived LST. Subsequently, we summarize recent advances in LST retrieval and validation methods, with a special focus on the state-of-the-art product collections, product accuracies and intercomparisons, and main problems in current LST products as well as their possible solutions. Additionally, we also review the major applications of LST products in agricultural drought monitoring, thermal environment monitoring, thermal anomaly monitoring, and climate change. Finally, we offer recommendations or perspectives to promote LST retrieval methods and their applications. This review will aid the user in gaining a thorough comprehensive understanding of satellite-derived LST products and promoting their appropriate applications. LI ET AL.

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Section: Applications Of Lstmentioning

confidence: 99%

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

Duan

et al. 2023

Reviews of Geophysics

176

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“…Wireless and sensor network technology has been used in natural coal ignition monitoring [15,16]. Remote sensing technology aids in the identification and dynamic monitoring of spontaneous combustion in expansive coal mining regions [17]. The method that utilizes satellite thermal infrared (TIR) remote sensing to determine the thermal anomalies of underground coal fires has been widely adopted [18].…”

Section: Introductionmentioning

confidence: 99%

A Review on Mine Fire Prevention Technology and Theory Based on Bibliometric Analysis

Shi,

Liu,

2023

Sustainability

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Of all mine disasters, fires are very threatening to mine safety and often lead to the most serious consequences. Research on mine fire prevention technology and theory has experienced significant growth and is attracting escalating academic interest and attention. However, dedicated literature reviews on this topic are scarce. For the purpose of uncovering the research characteristics and trends on mine fire prevention technology and theory, this paper employs bibliometric analysis using the Web of Science Core Collection database. This study presents a detailed analysis of relevant articles published between 2010 and 2022. An assessment of the influences of journals, countries, institutions, and authors was conducted through a citation analysis. Furthermore, this paper describes co-authorship networks among different countries, institutions, and authors. Lastly, a review of the mine fire prevention techniques and theories researched during this period was carried out through a keyword clustering analysis. Four main research topics in mine fire prevention research were identified: “mine fire control technology”, “mine fire occurrence mechanism”, “mine fire prediction technology”, and “mine fire monitoring technology”. Additionally, the theory study of spontaneous combustion and its underlying mechanisms may represent a potential focus for future research. These findings contribute to providing a solid foundation for future research endeavors in this field of fire prevention.

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“…Recently, a burned forest areas mapping on Landsat-TM images have been presented by Chen et al in 2016 [13] and it is realized that Landsat-TM allows a more objective and accurate understanding of the losses caused by that fire. Detection of coal fires using multispectral thermal images such as Landsat-TM and SPOT-5 images have been discussed in [14], which may be viewed as an application of satellite images for the detection of coal fires.…”

Section: Introductionmentioning

confidence: 99%

Potential Application of Hough Transform to Extract Hot Spot Delineated Boundaries using Landsat-8 Satellite Images

Ahmed¹,

Usama²

2020

IJITEE

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 Abstract: Coal fires, also known as subsurface fires or hot spots are all-inclusive issues in coal mines everywhere throughout the globe. Aimless mining over a period of past 100 years has prompted large scale damages to the ecosystem of the earth. For example, debasement in nature of water, soil, air, vegetation dissemination and variations in land topography have caused degradation. Research is needed to be more attentive on developing the prospective use of the satellite image analysis for hot spot detection because ground-based hot spots monitoring is time-taking, complex, cumbrous and very expensive. In this paper, a two-stage model has been developed to extract the hot spot delineated boundaries in Jharia coal field (JCF) region. In the first stage, contextual thresholding (CT) technique has been used to classify the hot spot and non-hot spot regions. After thorough processing, hot spots regions have been retrieved and for performance evaluation sensitivity and specificity are calculated, which suggest that hot spots were detected accurately in successful and efficient way. In second stage, the Canny edge detection algorithm is applied to detect the edges of the hot spot regions and then the binary image is generated, which is later converted into a vector image. Finally Hough transform is implemented on the obtained vector images for delineating hot spot boundaries. In future, delineated hot spot boundaries may be used to obtain the expansion or shrinking information of hot spot regions and it can be used for area estimation also. . His research interests include digital imageprocessing, optical and microwave satellite image processing, image classification, data fusion, time series analysis, and SAR data analysis for land cover classification.Mohammad Usama received his M. Sc.

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Use of Landsat thermal imagery for dynamically monitoring spontaneous combustion of Datong Jurassic coalfields in China

Cited by 4 publications

References 29 publications

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

A Review on Mine Fire Prevention Technology and Theory Based on Bibliometric Analysis

Potential Application of Hough Transform to Extract Hot Spot Delineated Boundaries using Landsat-8 Satellite Images

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