Spaceborne Thermal Infrared Observation – An Overview of Most Frequently Used Sensors for Applied Research

Kuenzer, Claudia; Guo, Huadong; Ottinger, Marco; Zhang, Jianzhong; Dech, Stefan

doi:10.1007/978-94-007-6639-6_7

Cited by 16 publications

(16 citation statements)

References 9 publications

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“…where: a is the 2 = Thermal conversion constant for the band (K2_CONSTANT_BAND_n from the metadata); b is 1 = Thermal conversion constant for the band (K1_CONSTANT_BAND_n from the metadata); c is = Radiance multiplicative scaling factor for the band (RADIANCE_MULT_BAND_n from the metadata); d is ƛ = Spectral radiance ( /( 2 * * )); Q = L1 pixel value in DN; T = TOA ( Top of Atmosphere) Brightness Temperature The time series for WDS are formed together with the mask for clouds and "blankness" and are entered into the database. The time series of images for temperature for each landfill or WDS is systematized [10].…”

Section: Methodsmentioning

confidence: 99%

Study of waste disposal thermal radiation using satellite data and considering solar influence

Dancheva¹,

Asenovski²

2018

ARB

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Section: Methodsmentioning

confidence: 99%

Study of waste disposal thermal radiation using satellite data and considering solar influence

Dancheva¹,

Asenovski²

2018

ARB

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“…Dalam skala teknis, penggunakan teknik penginderaan jauh memberikan efisiensi waktu dan hasil mendekati pengukuran in situ dengan algoritma yang tepat (Sobrino et al, 2004). Telah banyak sensor termal infrared (TIR) yang tersedia dengan beragam resolusi yang dapat digunakan, mulai dari sensor Landsat TM/ETM+/OLI, NOAA AVHRR, MODIS, dan ASTER (Kuenzer et al, 2013). Analisis menggunakan penginderaan jauh telah dimulai sejak tahun 1980an dan berkembang hingga saat ini dengan metode perolehan yang lebih kompleks (Price, 1983;Zellweger et al, 2019).…”

Section: Pendahuluanunclassified

Hubungan Kategori Tutupan Lahan Dan Suhu Permukaan Menggunakan Landsat 8

Fawzi¹

2019

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“…Finally, the SAGBT method can be applied to other TIR data, such as images from Landsat 8 TIRS and from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Applications of SAGBT can be extended to other fields, such as volcano monitoring, detection for forest and peat fires, and discovering for geothermal phenomena (hot springs, fumaroles, geysers, and mud pots) [21].…”

Section: Conclusion and Visionmentioning

confidence: 99%

Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data—Part 2, Validation and Sensitivity Analysis

Bernardes

Cao

et al. 2015

Remote Sensing

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Abstract:The self-adaptive gradient-based thresholding (SAGBT) method is a simple non-interactive coal fire detection approach involving segmentation and a threshold identification algorithm that adapts to the spatial distribution of thermal features over a landscape. SAGBT detects coal fire using multispectral thermal images acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor. The method was detailed by our previous work "Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data-Part 1, Methodology". The current study evaluates the performance of SAGBT and validates its results by using ASTER thermal infrared (TIR) images and ground temperature data collected at the Wuda coalfield (China) during satellite overpass. We further analyzed algorithm performance by OPEN ACCESSRemote Sens. 2015, 7 2603 using nighttime TIR images and images from different seasons. SAGBT-derived fires matched fire spots measured in the field with an average offset of 32.44 m and a matching rate of 70%-85%. Coal fire areas from TIR images generally agreed with coal-related anomalies from visible-near infrared (VNIR) images. Further, high-temperature pixels in the ASTER image matched observed coal fire areas, including the major extreme high-temperature regions derived from field samples. Finally, coal fires detected by daytime and by nighttime images were found to have similar spatial distributions, although fires differ in shape and size. Results included the stratification of our study site into two temperature groups (high and low temperature), using a fire boundary. We conclude that SAGBT can be successfully used for coal fire detection and analysis at our study site.

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Spaceborne Thermal Infrared Observation – An Overview of Most Frequently Used Sensors for Applied Research

Cited by 16 publications

References 9 publications

Study of waste disposal thermal radiation using satellite data and considering solar influence

Study of waste disposal thermal radiation using satellite data and considering solar influence

Hubungan Kategori Tutupan Lahan Dan Suhu Permukaan Menggunakan Landsat 8

Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data—Part 2, Validation and Sensitivity Analysis

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