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Deep Learning-Driven Soil Texture Classifier Using Landsat 8 Images

Suneetha Chittineni, Lakshmi Sutha Kumar, Sreenivas K, Tarik Mitran   +3 more
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Assessment of Settlement Area Development in Jember Regency Area Based on Multitemporal LANDSAT 8 OLI-TIRS Data

Bowo Eko Cahyono, Inas Alfiyatul Umniyah
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Landsat-8 TIRS radiometric calibration status

Earth Observing Systems XXV, 2020
The Landsat-8 Thermal Infrared Sensor (TIRS) has been acquiring two-band thermal infrared images of the Earth’s surface since 2013. The calibration of the two-band system has been monitored using the on-board calibrator and validated with vicarious calibration performed by NASA/Jet Propulsion Laboratory and Rochester Institute of Technology since ...
Julia A. Barsi, Brian L. Markham, Matthew Montanaro, Simon J. Hook, Nina G. Raqueno, Esad Micijevic, Kerry Cawse-Nicholson   +6 more
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Landsat-8 data processing evolution

SPIE Proceedings, 2014
Shortly after Landsat-8 launched in February 2013, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center began creating radiometrically and geometrically corrected products. In order to provide these products as soon as possible, the Landsat Product Generation System (LPGS) was developed based on instrument designs and
Ron A. Morfitt, Mike J. Choate, Julia A. Barsi   +2 more
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Nonlinear Relative Radiometric Normalization For Landsat 7 and Landsat 8 Imagery

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Relative radiometric normalization (RRN) minimizes radiometric differences among images caused by inconsistencies of acquisition condition. In this study, a cross-sensor RRN method is proposed for optical satellite images from Landsat 8 OLI (L8) and Landsat 7 ETM+ (L7) sensors. The data from these two sensors have different pixel depths.
Lino Garda Denaro, Chao Hung Lin
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Landsat Data Continuity Mission, now Landsat-8: six months on-orbit

SPIE Proceedings, 2013
The Landsat Data Continuity Mission (LDCM) with two pushbroom Earth-imaging sensors, the Operational Land Imager (OLI) and the Thermal InfraRed Sensor (TIRS), was launched on February 11, 2013. Its on-orbit check out period or commissioning phase lasted about 90 days.
Brian L. Markham, James C. Storey, James R. Irons   +2 more
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การจำแนกการใช้ประโยชน์ที่ดินด้วยวิธีการซัพพอร์ตเวกเตอร์แมชชีนจากภาพถ่ายดาวเทียม LANDSAT 8 เพื่อประเมินปริมาณการใช้น้ำในพื้นที่จังหวัดกาฬสินธุ์

2023
งานวิจัยนี้มีจุดประสงค์เพื่อเปรียบเทียบการจำแนกการใช้ประโยชน์ที่ดินจากภาพถ่ายดาวเทียม Landsat 8 ในปี พ.ศ. 2557 และ 2559 ด้วยวิธีซัพพอร์ตเวกเตอร์แมชชีน (Support Vector Machine: SVMs) กับวิธีความน่าจะเป็นไปได้สูงสุด (Maximum Likelihood Classifier: MLC) ในพื้นที่จังหวัดกาฬสินธุ์ นำผลที่ได้จากการจำแนกมาวิเคราะห์การเปลี่ยนแปลงการใช้ประโยชน์ที่ดิน เพื่อประเมิ
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Harmonized Chlorophyll-a Retrievals in Inland Lakes From Landsat-8/9 and Sentinel 2A/B Virtual Constellation Through Machine Learning

IEEE Transactions on Geoscience and Remote Sensing, 2022
Moderate-high-resolution satellite missions provide an opportunity to capture subtle spatial variability in lakes; however, the sparsity of time series for individual satellite instruments cannot monitor temporal variation in the lake environment.
Z. Cao, R. Ma, Miao Liu, H. Duan, Qing Xiao, Kun Xue, Ming Shen   +6 more
semanticscholar   +1 more source

Landsat 8 TIRS calibration with external sensors

Earth Observing Systems XXII, 2017
This paper deals with a calibration algorithm to be used with data from the Thermal Infrared Sensor (TIRS) on board Landsat 8. Some non-uniform banding calibration errors have been observed in TIRS data since it was launched in 2013. Investigations have shown that this artifact is due to out-of-field radiance that scatters onto the TIRS focal plane.
Yue Wang, John R. Schott, Nina G. Raqueno, Emmett J. Ientilucci   +3 more
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Validation of landsat-8 OLI image simulation

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Simulated remote sensing imagery is valuable for instrument design studies, analysis algorithm development and validation, as well as analyst training. The Digital Imaging and Remote Sensing Image Generation (DIRSIG) suite of software is an image simulation tool developed by the Digital Imaging and Remote Sensing (DIRS) Laboratory at the Rochester ...
Zhaoyu Cui, John Kerekes, John R. Schott
openaire   +1 more source