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Journal articles on the topic 'Split-window algorithm'

Author: Grafiati

Published: 15 March 2025

Last updated: 26 July 2025

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1

Pinker, Rachel T., Donglian Sun, Meng-Pai Hung, Chuan Li, and Jeffrey B. Basara. "Evaluation of Satellite Estimates of Land Surface Temperature from GOES over the United States." Journal of Applied Meteorology and Climatology 48, no. 1 (2009): 167–80. http://dx.doi.org/10.1175/2008jamc1781.1.

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Abstract A comprehensive evaluation of split-window and triple-window algorithms to estimate land surface temperature (LST) from Geostationary Operational Environmental Satellites (GOES) that were previously described by Sun and Pinker is presented. The evaluation of the split-window algorithm is done against ground observations and against independently developed algorithms. The triple-window algorithm is evaluated only for nighttime against ground observations and against the Sun and Pinker split-window (SP-SW) algorithm. The ground observations used are from the Atmospheric Radiation Measur

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2

Meng, Xiangchen, Jie Cheng, Shaohua Zhao, Sihan Liu, and Yunjun Yao. "Estimating Land Surface Temperature from Landsat-8 Data using the NOAA JPSS Enterprise Algorithm." Remote Sensing 11, no. 2 (2019): 155. http://dx.doi.org/10.3390/rs11020155.

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Land surface temperature (LST) is one of the key parameters in hydrology, meteorology, and the surface energy balance. The National Oceanic and Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) Enterprise algorithm is adapted to Landsat-8 data to obtain the estimate of LST. The coefficients of the Enterprise algorithm were obtained by linear regression using the analog data produced by comprehensive radiative transfer modeling. The performance of the Enterprise algorithm was first tested by simulation data and then validated by ground measurements. In addition, the accuracy

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Wang, Lijuan, Ni Guo, Wei Wang, and Hongchao Zuo. "Optimization of the Local Split-Window Algorithm for FY-4A Land Surface Temperature Retrieval." Remote Sensing 11, no. 17 (2019): 2016. http://dx.doi.org/10.3390/rs11172016.

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FY-4A is a second generation of geostationary orbiting meteorological satellite, and the successful launch of FY-4A satellite provides a new opportunity to obtain diurnal variation of land surface temperature (LST). In this paper, different underlying surfaces-observed data were applied to evaluate the applicability of the local split-window algorithm for FY-4A, and the local split-window algorithm parameters were optimized by the artificial intelligent particle swarm optimization (PSO) algorithm to improve the accuracy of retrieved LST. Results show that the retrieved LST can efficiently repr

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Peng, Hong Chun, Hai Ying Li, and Hao Gao. "Study on Methods of Retrieval of Sea Surface Temperature by Using Remote Sensing Data." Advanced Materials Research 610-613 (December 2012): 3742–46. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.3742.

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This article taking coastal waters of Lianyungang as the research area, and by using MODIS images during 15 April and 1 May, 2012 as source data, and the results of sea surface temperature were extracted by band operation, and by using changes in the different time of SST, spatial variation and comparative analysis to verify the accuracy of the two algorithms. Both the two split-window algorithm can get the sea surface temperature of coastal waters of Lianyungang well, and the result was reliable, and the inversion precision of SST can meet the application requirements in the general ocean app

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Vincent, R. F. "The Case for a Single Channel Composite Arctic Sea Surface Temperature Algorithm." Remote Sensing 11, no. 20 (2019): 2393. http://dx.doi.org/10.3390/rs11202393.

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Surface temperatures derived from satellite thermal infrared (TIR) data are critical inputs for assessing climate change in polar environments. Sea and ice surface temperature (SST, IST) are commonly determined with split window algorithms that use the brightness temperature from the 11 μm channel (BT11) as the main estimator and the difference between BT11 and the 12 μm channel (BTD11–12) to correct for atmospheric water vapor absorption. An issue with this paradigm in the Arctic maritime environment is the occurrence of high BTD11–12 that is not indicative of atmospheric absorption of BT11 e

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Pérez-Planells, Lluís, Raquel Niclòs, Jesús Puchades, et al. "Validation of Sentinel-3 SLSTR Land Surface Temperature Retrieved by the Operational Product and Comparison with Explicitly Emissivity-Dependent Algorithms." Remote Sensing 13, no. 11 (2021): 2228. http://dx.doi.org/10.3390/rs13112228.

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Land surface temperature (LST) is an essential climate variable (ECV) for monitoring the Earth climate system. To ensure accurate retrieval from satellite data, it is important to validate satellite derived LSTs and ensure that they are within the required accuracy and precision thresholds. An emissivity-dependent split-window algorithm with viewing angle dependence and two dual-angle algorithms are proposed for the Sentinel-3 SLSTR sensor. Furthermore, these algorithms are validated together with the Sentinel-3 SLSTR operational LST product as well as several emissivity-dependent split-window

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7

Na, Yin Tai. "Study on the Application and Comparative Analysis of Land Surface Temperature Retrieval Method Based on Multi-Sensor Remote Sensing Data." Advanced Materials Research 1010-1012 (August 2014): 1276–79. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.1276.

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The three commonly used remote sensing land surface temperature retrieval methods are described, namely single-window algorithm, split window algorithm and multi-channel algorithm, which have their advantages and disadvantages. The land surface temperature (LST) of study area was retrieved with multi-source remote sensing data. LST of study area was retrieved with the split window algorithm on January 10, 2003 and November 19, 2003 which is comparatively analyzed with the LST result of ETM+data with the single-window algorithm and the LST result of ASTER data with multi channel algorithm in th

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Gerace, Aaron, Tania Kleynhans, Rehman Eon, and Matthew Montanaro. "Towards an Operational, Split Window-Derived Surface Temperature Product for the Thermal Infrared Sensors Onboard Landsat 8 and 9." Remote Sensing 12, no. 2 (2020): 224. http://dx.doi.org/10.3390/rs12020224.

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The split window technique has been used for over thirty years to derive surface temperatures of the Earth with image data collected from spaceborne sensors containing two thermal channels. The latest NASA/USGS Landsat satellites contain the Thermal Infrared Sensor (TIRS) instruments that acquire Earth data in two longwave infrared bands, as opposed to a single band with earlier Landsats. The United States Geological Survey (USGS) will soon begin releasing a surface temperature product for Landsats 4 through 8 based on the single spectral channel methodology. However, progress is being made to

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9

Sun, Donglian, Yunyue Yu, Li Fang, and Yuling Liu. "Toward an Operational Land Surface Temperature Algorithm for GOES." Journal of Applied Meteorology and Climatology 52, no. 9 (2013): 1974–86. http://dx.doi.org/10.1175/jamc-d-12-0132.1.

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AbstractFor most land surface temperature (LST) regression algorithms, a set of optimized coefficients is determined by manual separation of the different subdivisions of atmospheric and surface conditions. In this study, a machine-learning technique, the regression tree (RT) technique, is introduced with the aim of automatically finding these subranges and the thresholds for the stratification of regression coefficients. The use of RT techniques in LST retrieval has the potential to contribute to the determination of optimal regression relationships under different conditions. Because of the

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Heidinger, Andrew K., and Michael J. Pavolonis. "Gazing at Cirrus Clouds for 25 Years through a Split Window. Part I: Methodology." Journal of Applied Meteorology and Climatology 48, no. 6 (2009): 1100–1116. http://dx.doi.org/10.1175/2008jamc1882.1.

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Abstract This paper demonstrates that the split-window approach for estimating cloud properties can improve upon the methods commonly used for generating cloud temperature and emissivity climatologies from satellite imagers. Because the split-window method provides cloud properties that are consistent for day and night, it is ideally suited for the generation of a cloud climatology from the Advanced Very High Resolution Radiometer (AVHRR), which provides sampling roughly four times per day. While the split-window approach is applicable to all clouds, this paper focuses on its application to ci

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11

Chen, Zongyi, Mingkang Yang, Yijun Guo, Yu Liang, Yifan Ding, and Li Wang. "The Split Delivery Vehicle Routing Problem with Three-Dimensional Loading and Time Windows Constraints." Sustainability 12, no. 17 (2020): 6987. http://dx.doi.org/10.3390/su12176987.

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Besides routing and packing plans, synthetically considering the requirements of customers about service time is absolutely necessary. An order split delivery plan can not only better satisfy the service time requirements, but also improve the full-load rate of vehicles. The split delivery vehicle routing problem with three-dimensional loading constraints (3L-SDVRP) combines vehicle routing and three-dimensional loading with additional packing constraints. In the 3L-SDVRP splitting deliveries of customers is basically possible, i.e., a customer can be visited in two or more tours. The vehicle

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12

Guo, Jinxin, Huazhong Ren, Yitong Zheng, Shangzong Lu, and Jiaji Dong. "Evaluation of Land Surface Temperature Retrieval from Landsat 8/TIRS Images before and after Stray Light Correction Using the SURFRAD Dataset." Remote Sensing 12, no. 6 (2020): 1023. http://dx.doi.org/10.3390/rs12061023.

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Landsat 8/thermal infrared sensor (TIRS) is suffering from the problem of stray light that makes an inaccurate radiance for two thermal infrared (TIR) bands and the latest correction was conducted in 2017. This paper focused on evaluation of land surface temperature (LST) retrieval from Landsat 8 before and after the correction using ground-measured LST from five surface radiation budget network (SURFRAD) sites. Results indicated that the correction increased the band radiance at the top of the atmosphere for low temperature but decreased such radiance for high temperature. The root-mean-squar

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13

Ulivieri, C., M. M. Castronuovo, R. Francioni, and A. Cardillo. "A split window algorithm for estimating land surface temperature from satellites." Advances in Space Research 14, no. 3 (1994): 59–65. http://dx.doi.org/10.1016/0273-1177(94)90193-7.

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Kalogeropoulos, Georgios, Julia Tzortzi, and Argiro Dimoudi. "Remote Sensing and Field Measurements for the Analysis of the Thermal Environment in the “Bosco Verticale” Area in Milan City." Land 13, no. 2 (2024): 182. http://dx.doi.org/10.3390/land13020182.

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The trend of urbanization nowadays has caused serious issues related to climate. One of the most important ones is that of the ‘Urban Heat Island (UHI)’ and it occurs in major cities throughout the world. The most important categories, and therefore the most studied ones, are the canopy urban heat island (CUHI) and surface heat island (SUHI). The aim and the novelty of the current study was to assess different remote sensing approaches to detect the thermal environment of an open area inside a large city. The study was undertaken in an urban area with green spaces, in the Bosco Verticale area

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15

Susilo, Eko, Rizki Hanintyo, and Adi Wijaya. "RETRIEVING COASTAL SEA SURFACE TEMPERATURE FROM LANDSAT-8 TIRS FOR WANGI-WANGI ISLAND, WAKATOBI, SOUTHEAST SULAWESI, INDONESIA." International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, no. 1 (2019): 13. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3044.

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The new Landsat generation, Landsat-8, is equipped with two bands of thermal infrared sensors (TIRS). The presence of two bands provides for improved determination of sea surface temperature (SST) compared to existing products. Due to its high spatial resolution, it is suitable for coastal zone monitoring. However, there are still significant challenges in converting radiance measurements to SST, resulting from the limitations of in-situ measurements. Several studies into developing SST algorithms in Indonesia waters have provided good performance. Unfortunately, however, they have used a sing

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Şekertekin, A., Ş. H. Kutoglu, S. Kaya, and A. M. Marangoz. "ANALYSING THE EFFECTS OF DIFFERENT LAND COVER TYPES ON LAND SURFACE TEMPERATURE USING SATELLITE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 665–67. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-665-2015.

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Monitoring Land Surface Temperature (LST) via remote sensing images is one of the most important contributions to climatology. LST is an important parameter governing the energy balance on the Earth and it also helps us to understand the behavior of urban heat islands. There are lots of algorithms to obtain LST by remote sensing techniques. The most commonly used algorithms are split-window algorithm, temperature/emissivity separation method, mono-window algorithm and single channel method. In this research, mono window algorithm was implemented to Landsat 5 TM image acquired on 28.08.2011. Be

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17

El Makhloufi, Assaad, Nisrine Chekroun, Noha Tagmouti, Samir El Adib, and Naoufal Raissouni. "Improvements in space radiation-tolerant FPGA implementation of land surface temperature-split window algorithm." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 3844. http://dx.doi.org/10.11591/ijece.v11i5.pp3844-3854.

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The trend in satellite remote sensing assignments has continuously been concerning using hardware devices with more flexibility, smaller size, and higher computational power. Therefore, field programmable gate arrays (FPGA) technology is often used by the developers of the scientific community and equipment for carrying out different satellite remote sensing algorithms. This article explains hardware implementation of land surface temperature split window (LST-SW) algorithm based on the FPGA. To get a high-speed process and real-time application, VHSIC hardware description language (VHDL) was

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18

Assaad, El Makhloufi, Chekroun Nisrine, Tagmouti Noha, El Adib Samir, and Raissouni Naoufal. "Improvements in space radiation-tolerant FPGA implementation of land surface temperature-split window algorithm." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 3844–54. https://doi.org/10.11591/ijece.v11i5.pp3844-3854.

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The trend in satellite remote sensing assignments has continuously been concerning using hardware devices with more flexibility, smaller size, and higher computational power. Therefore, field programmable gate arrays (FPGA) technology is often used by the developers of the scientific community and equipment for carrying out different satellite remote sensing algorithms. This article explains hardware implementation of land surface temperature split window (LST-SW) algorithm based on the FPGA. To get a high-speed process and real-time application, VHSIC hardware description language (VHDL) was

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19

Lamedjogue, L., C. Adama, B. Ousmane, T. Kokou, and D. Moustapha. "MULTI-COMPARTMENT VEHICLES FOR SPLIT PICK-UP AND SPLIT DELIVERY PROBLEM WITH TIME WINDOW." Advances in Mathematics: Scientific Journal 12, no. 10 (2023): 887–919. http://dx.doi.org/10.37418/amsj.12.10.4.

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In this article, we'll look at multi-compartment vehicles, which collect goods from suppliers and deliver them to different customers who place large orders. Because some products are incompatible with each other, these goods cannot be transported by single-compartment vehicles. In addition, because customers can place large orders, some suppliers and/or customers may be visited several times by different vehicles. In this work, the aim is to satisfy a group of customers while respecting the constraints linked to the capacity of each compartment and each type of product, and to ensure that eac

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20

Jiang, G. ‐M, and Z. ‐L Li. "Split‐window algorithm for land surface temperature estimation from MSG1‐SEVIRI data." International Journal of Remote Sensing 29, no. 20 (2008): 6067–74. http://dx.doi.org/10.1080/01431160802235860.

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21

Yoon, Yeo, Woo Jeong, and Kwang Lee. "Window Material Daylighting Performance Assessment Algorithm: Comparing Radiosity and Split-Flux Methods." Energies 7, no. 4 (2014): 2362–76. http://dx.doi.org/10.3390/en7042362.

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22

Zhengming Wan and J. Dozier. "A generalized split-window algorithm for retrieving land-surface temperature from space." IEEE Transactions on Geoscience and Remote Sensing 34, no. 4 (1996): 892–905. http://dx.doi.org/10.1109/36.508406.

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23

Liu, Yu, Yongxin Wang, and Guanghui Wang. "Land Surface Temperature Retrieval From GF5-01A Based on Split- Window Algorithm." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 10, 2024): 431–36. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-431-2024.

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Abstract. Land Surface temperature (LST) is a core parameter in the energy exchange between the surface and the atmosphere, and the use of thermal infrared remote sensing can realize the wide-range, fast, and accurate acquisition of surface temperature. GF5-01A is an important part and the final satellite of the major special project on high-resolution Earth observation system which is equipped with a wide-area thermal infrared imager with a resolution of 100 meters and a width of 1,500 kilometers. In this paper, based on the GF5-01A WTI spectral response function, combined with the TIGR2000 a

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Wang, Lei, Yao Lu, and Yunlong Yao. "Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images." Sensors 19, no. 22 (2019): 5049. http://dx.doi.org/10.3390/s19225049.

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The successful launch of the Landsat 8 satellite provides important data for the monitoring of urban heat island effects. Since the Landsat 8 TIRS data has two thermal infrared bands, it is suitable for many algorithms to retrieve the land surface temperature (LST). However, the selection of algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) m

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Su, Qinghua, Xiangchen Meng, and Lin Sun. "Investigation and Validation of Split-Window Algorithms for Estimating Land Surface Temperature from Landsat 9 TIRS-2 Data." Remote Sensing 16, no. 19 (2024): 3633. http://dx.doi.org/10.3390/rs16193633.

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Land surface temperature (LST) is important in a variety of applications, such as urban thermal environment monitoring and water resource management. In this paper, eleven candidate split-window (SW) algorithms were adapted to Thermal Infrared Sensor-2 (TIRS-2) data of the Landsat 9 satellite for estimating the LST. The simulated dataset produced by extensive radiative transfer modeling and five global atmospheric profile databases was used to determine the SW algorithm coefficients. Ground measurements gathered at Surface Radiation Budget Network sites were used to confirm the efficiency of t

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Peng, Bo, Wei Chen, Hengyang Wang, et al. "Retrieval of an On-Orbit Bidirectional Reflectivity Reference in the Mid-Infrared Bands of FY-3D/MERSI-2 Channels 20." Remote Sensing 15, no. 21 (2023): 5117. http://dx.doi.org/10.3390/rs15215117.

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The acquisition of high-accuracy reflectance in mid-infrared channels is of great significance for the on-orbit cross-calibration of other bands using the mid-infrared band. However, due to the phenomenon that some sensors have a wide range of wavelengths covered by adjacent channels in the mid-infrared band, the traditional method of estimating the mid-infrared reflectivity assumes that the sea surface reflectivity in different mid-infrared bands is equal, which will lead to a large error during calculation. To solve this problem, this study proposes a nonlinear split-window algorithm involvi

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Bunai, Tasya, Rokhmatuloh, and Adi Wibowo. "Comparison Spatial Pattern of Land Surface Temperature with Mono Window Algorithm and Split Window Algorithm: A Case Study in South Tangerang, Indonesia." IOP Conference Series: Earth and Environmental Science 149 (May 2018): 012066. http://dx.doi.org/10.1088/1755-1315/149/1/012066.

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Gangwar, Rishi Kumar, and Pradeep Kumar Thapliyal. "Variational Based Estimation of Sea Surface Temperature from Split-Window Observations of INSAT-3D/3DR Imager." Remote Sensing 12, no. 19 (2020): 3142. http://dx.doi.org/10.3390/rs12193142.

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Infrared (IR) radiometers from geostationary (GEO) satellites have an advantage over low-earth orbiting (LEO) satellites as they provide continuous observations to monitor the diurnal variations in the sea surface temperature (SST), typically better than 30-minute interval. However, GEO satellite observations suffer from significant diurnal and seasonal biases arising due to varying sun-earth-satellite geometry, leading to biases in SST estimates from conventional non-linear regression-based algorithms (NLSST). The midnight calibration issue occurring in GEO sensors poses a different challenge

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Adeniran, Ibrahim Ademola, Rui Zhu, Jinxin Yang, Xiaolin Zhu, and Man Sing Wong. "Cross-Comparison between Sun-Synchronized and Geostationary Satellite-Derived Land Surface Temperature: A Case Study in Hong Kong." Remote Sensing 14, no. 18 (2022): 4444. http://dx.doi.org/10.3390/rs14184444.

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Harmonization of satellite imagery provides a good opportunity for studying land surface temperature (LST) as well as the urban heat island effect. However, it is challenging to use the harmonized data for the study of LST due to the systematic bias between the LSTs from different satellites, which is highly influenced by sensor differences and the compatibility of LST retrieval algorithms. To fill this research gap, this study proposes the comparison of different LST images retrieved from various satellites that focus on Hong Kong, China, by applying diverse retrieval algorithms. LST images g

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Sun, Jiren, Daoming Wei, Dianjun Zhang, and Zhiwei Sun. "An Improved Method for Estimating Sea Surface Temperature Based on GF-5A Satellite Data in Bohai Bay." Remote Sensing 17, no. 11 (2025): 1879. https://doi.org/10.3390/rs17111879.

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Sea surface temperature (SST) is an important physical parameter that plays an important role in the study of various dynamic and thermodynamic processes in the ocean. Common SST retrieval methods are divided into single-channel methods (such as the single window algorithm) and multi-channel methods (such as the split window algorithm). To solve the problem of the low resolution of SST data used in coastal research, this study proposed a split window algorithm by adjusting the two important parameters, atmospheric transmittance and regression coefficients, to estimate SST using remotely sensed

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Mao, K., Z. Qin, J. Shi, and P. Gong. "A practical split‐window algorithm for retrieving land‐surface temperature from MODIS data." International Journal of Remote Sensing 26, no. 15 (2005): 3181–204. http://dx.doi.org/10.1080/01431160500044713.

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Raissouni, N., S. El Adib, J. A. Sobrino, et al. "Towards LST split-window algorithm FPGA implementation for CubeSats on-board computations purposes." International Journal of Remote Sensing 40, no. 5-6 (2019): 2435–50. http://dx.doi.org/10.1080/01431161.2018.1562589.

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Pang, Xiaoping, Pei Fan, Xi Zhao, and Qing Ji. "Comparison of Leads Mapping in the Arctic Ocean Between Landsat and MODIS Ice Surface Temperature Products." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-289-2019.

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<p><strong>Abstract.</strong> Leads are linear or wedge-shaped openings in the sea ice cover. They account for about half of the sensible heat transfer from the Arctic Ocean to the atmosphere in winter, though the sea surface area covered by them is only 1%~2% of the total sea ice area, thus monitoring leads changes and mapping leads distributions become an essential role on Arctic researches. Sea ice surface temperature (IST) product from Moderate Resolution Imaging Spectroradiometer (MODIS) is the most used source of leads monitoring and mapping, however, due to the coarse

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Wang, Han, Kebiao Mao, Fengyun Mu, et al. "A Split Window Algorithm for Retrieving Land Surface Temperature from FY-3D MERSI-2 Data." Remote Sensing 11, no. 18 (2019): 2083. http://dx.doi.org/10.3390/rs11182083.

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The thermal infrared (TIR) data from the Medium Resolution Spectral Imager II (MERSI-2) on the Chinese meteorological satellite FY-3D have high spatiotemporal resolution. Although the MERSI-2 land surface temperature (LST) products have good application prospects, there are some deviations in the TIR band radiance from MERSI-2. To accurately retrieve LSTs from MERSI-2, a method based on a cross-calibration model and split window (SW) algorithm is proposed. The method is divided into two parts: cross-calibration and LST retrieval. First, the MODTRAN program is used to simulate the radiation tra

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Wan, Jikang, Min Zhu, and Wei Ding. "Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data." Advances in Meteorology 2021 (September 24, 2021): 1–16. http://dx.doi.org/10.1155/2021/9917145.

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Many researchers have developed a variety of land surface temperature (LST) inversion algorithms based on satellite data. The main LST inversion algorithms include Radiative Transfer Equation (RTE), Single Channel (SC) algorithm, Mono Window (MW) algorithm, and Split Window (SW) algorithm. In this study, nine LST inversion algorithms were designed using Landsat-8 data and meteorological station data to test the inversion efficiency of different algorithms in different seasons and different locations. The results show that the error of various LST inversion algorithms will increase with the ris

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Mia, Md, Yasuhiro Fujimitsu, and Jun Nishijima. "Monitoring of Thermal Activity at the Hatchobaru–Otake Geothermal Area in Japan Using Multi-Source Satellite Images—With Comparisons of Methods, and Solar and Seasonal Effects." Remote Sensing 10, no. 9 (2018): 1430. http://dx.doi.org/10.3390/rs10091430.

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The Hatchobaru–Otake (HO) geothermal field is proximal to the Kuju volcano on Kyushu, Japan. There are currently three geothermal power plants operating within this geothermal field. Herein, we explore the thermal status of the HO geothermal area using ASTER thermal infrared data to monitor heat losses from 2009 to 2017. We assessed the solar effects and seasonal variation on heat losses based on day- and night-time Landsat thermal infrared images, and compared three conventional methods of land surface temperature (LST) measurements. The normalized difference vegetation index threshold method

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DAVE, JALPESH A., MEHUL R. PANDYA, DHIRAJ B. SHAH, et al. "Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations." Journal of Agrometeorology 25, no. 4 (2023): 510–16. http://dx.doi.org/10.54386/jam.v25i4.2286.

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MODIS Land Surface Temperature (LST) product is extensively used in agricultural studies like crop health assessment, soil moisture estimation, irrigation management, land use land cover change, air-temperature retrieval and crop water stress detection. Numerous studies have used Split Window (SW) algorithms to retrieve LST from MODIS TIR bands. Among them, some utilize Sensor View Angle Dependent (SVAD) or Columnar Water Vapor Dependent (CWVD) SW algorithms. Present study aims to make use of SVAD and CWVD SW algorithms and compare them to evaluate the LST retrieval accuracy over various land

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Chin, Wee Jian, Ban-Hoe Kwan, Wei Yin Lim, et al. "A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model." Diagnostics 14, no. 3 (2024): 284. http://dx.doi.org/10.3390/diagnostics14030284.

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Respiratory rate (RR) is a critical vital sign that can provide valuable insights into various medical conditions, including pneumonia. Unfortunately, manual RR counting is often unreliable and discontinuous. Current RR estimation algorithms either lack the necessary accuracy or demand extensive window sizes. In response to these challenges, this study introduces a novel method for continuously estimating RR from photoplethysmogram (PPG) with a reduced window size and lower processing requirements. To evaluate and compare classical and deep learning algorithms, this study leverages the BIDMC a

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Sajib, Md Qutub Uddin, and Tao Wang. "Estimation of Land Surface Temperature in an Agricultural Region of Bangladesh from Landsat 8: Intercomparison of Four Algorithms." Sensors 20, no. 6 (2020): 1778. http://dx.doi.org/10.3390/s20061778.

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The presence of two thermal bands in Landsat 8 brings the opportunity to use either one or both of these bands to retrieve Land Surface Temperature (LST). In order to compare the performances of existing algorithms, we used four methods to retrieve LST from Landsat 8 and made an intercomparison among them. Apart from the direct use of the Radiative Transfer Equation (RTE), Single-Channel Algorithm and two Split-Window Algorithms were used taking an agricultural region in Bangladesh as the study area. The LSTs retrieved in the four methods were validated in two ways: first, an indirect validati

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Bayat, F., and M. Hasanlou. "FEASIBILITY STUDY OF LANDSAT-8 IMAGERY FOR RETRIEVING SEA SURFACE TEMPERATURE (CASE STUDY PERSIAN GULF)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1107–10. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1107-2016.

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Sea surface temperature (SST) is one of the critical parameters in marine meteorology and oceanography. The SST datasets are incorporated as conditions for ocean and atmosphere models. The SST needs to be investigated for various scientific phenomenon such as salinity, potential fishing zone, sea level rise, upwelling, eddies, cyclone predictions. On the other hands, high spatial resolution SST maps can illustrate eddies and sea surface currents. Also, near real time producing of SST map is suitable for weather forecasting and fishery applications. Therefore satellite remote sensing with wide

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Bayat, F., and M. Hasanlou. "FEASIBILITY STUDY OF LANDSAT-8 IMAGERY FOR RETRIEVING SEA SURFACE TEMPERATURE (CASE STUDY PERSIAN GULF)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1107–10. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1107-2016.

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Abstract:

Sea surface temperature (SST) is one of the critical parameters in marine meteorology and oceanography. The SST datasets are incorporated as conditions for ocean and atmosphere models. The SST needs to be investigated for various scientific phenomenon such as salinity, potential fishing zone, sea level rise, upwelling, eddies, cyclone predictions. On the other hands, high spatial resolution SST maps can illustrate eddies and sea surface currents. Also, near real time producing of SST map is suitable for weather forecasting and fishery applications. Therefore satellite remote sensing with wide

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Du, Chen, Huazhong Ren, Qiming Qin, Jinjie Meng, and Shaohua Zhao. "A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data." Remote Sensing 7, no. 1 (2015): 647–65. http://dx.doi.org/10.3390/rs70100647.

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Ren, Huazhong, Guangjian Yan, Ling Chen, and Zhaoliang Li. "Angular effect of MODIS emissivity products and its application to the split-window algorithm." ISPRS Journal of Photogrammetry and Remote Sensing 66, no. 4 (2011): 498–507. http://dx.doi.org/10.1016/j.isprsjprs.2011.02.008.

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Yang, Hu, and Zhongdong Yang. "A modified land surface temperature split window retrieval algorithm and its applications over China." Global and Planetary Change 52, no. 1-4 (2006): 207–15. http://dx.doi.org/10.1016/j.gloplacha.2006.02.015.

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Li, Shanshan, and Geng-Ming Jiang. "Land Surface Temperature Retrieval From Landsat-8 Data With the Generalized Split-Window Algorithm." IEEE Access 6 (2018): 18149–62. http://dx.doi.org/10.1109/access.2018.2818741.

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Rozenstein, Offer, Zhihao Qin, Yevgeny Derimian, and Arnon Karnieli. "Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm." Sensors 14, no. 4 (2014): 5768–80. http://dx.doi.org/10.3390/s140405768.

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Ye, Xin, Huazhong Ren, Rongyuan Liu, Qiming Qin, Yao Liu, and Jijia Dong. "Land Surface Temperature Estimate From Chinese Gaofen-5 Satellite Data Using Split-Window Algorithm." IEEE Transactions on Geoscience and Remote Sensing 55, no. 10 (2017): 5877–88. http://dx.doi.org/10.1109/tgrs.2017.2716401.

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Hu, YANG, and YANG Zhong-dong. "A Modified Land Surface Temperature Split Window Retrieval Algorithm and Its Applications Over China." National Remote Sensing Bulletin, no. 4 (2006): 600–607. http://dx.doi.org/10.11834/jrs.20060488.

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LIU, Chao, Hua LI, Yongming DU, et al. "Practical split-window algorithm for retrieving land surface temperature from Himawari 8 AHI data." National Remote Sensing Bulletin 21, no. 5 (2017): 702–14. http://dx.doi.org/10.11834/jrs.20176492.

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Zheng, Yitong, Huazhong Ren, Jinxin Guo, et al. "Land Surface Temperature Retrieval from Sentinel-3A Sea and Land Surface Temperature Radiometer, Using a Split-Window Algorithm." Remote Sensing 11, no. 6 (2019): 650. http://dx.doi.org/10.3390/rs11060650.

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Land surface temperature (LST) is a crucial parameter in the interaction between the ground and the atmosphere. The Sentinel-3A Sea and Land Surface Temperature Radiometer (SLSTR) provides global daily coverage of day and night observation in the wavelength range of 0.55 to 12.0 μm. LST retrieved from SLSTR is expected to be widely used in different fields of earth surface monitoring. This study aimed to develop a split-window (SW) algorithm to estimate LST from two-channel thermal infrared (TIR) and one-channel middle infrared (MIR) images of SLSTR observation. On the basis of the conventiona

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