Results 251 to 260 of about 36,774 (290)

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   +2 more
openaire   +1 more source

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
openaire   +1 more source

Statistical relative gain calculation for Landsat 8

Earth Observing Systems XXII, 2017
The Landsat 8 Operational Land Imager (OLI) is an optical multispectral push-broom sensor with a focal plane consisting of over 7000 detectors per spectral band. Each of the individual imaging detectors contributes one column of pixels to an image. Any difference in the response between neighboring detectors may result in a visible stripe or band in ...
Cody Anderson   +2 more
openaire   +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   +3 more
openaire   +1 more source

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   +2 more
openaire   +1 more source

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
openaire   +1 more source

Landsat 8: status and on-orbit performance

SPIE Proceedings, 2015
Landsat 8 and its two Earth imaging sensors, the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) have been operating on-orbit for 2 ½ years. Landsat 8 has been acquiring substantially more images than initially planned, typically around 700 scenes per day versus a 400 scenes per day requirement, acquiring nearly all land scenes.
Brian L. Markham   +6 more
openaire   +1 more source

Landsat-8 TIRS thermal radiometric calibration status

Earth Observing Systems XXII, 2017
The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the ...
Julia A. Barsi   +7 more
openaire   +1 more source

Home - About - Disclaimer - Privacy