Results 291 to 300 of about 13,861,689 (336)

Observation‐Masked Localized Assimilation of Satellite‐Derived Snow Cover Data for Enhancing Runoff Prediction in the Rhône River Basin, France

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Accurate estimation of snowpack dynamics is essential for predicting snowmelt‐driven hydrological processes in mountainous regions. Although data assimilation techniques can integrate remote sensing observations into snow models to reduce uncertainties, their operational implementation remains constrained by sparse and irregular coverage of ...
Meiling Cheng, Femke C. Vossepoel, Stef Lhermitte, Rolf Hut   +3 more
wiley   +1 more source

Interferometric Synthetic Aperture Radar (InSAR) for Monitoring Seasonal Snow

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Interferometric Synthetic Aperture Radar (InSAR) offers a potential pathway for measuring seasonal snow water equivalent (SWE) and snow depth at spatial and temporal scales needed for basin‐scale hydrology. First proposed for seasonal snow more than 25 years ago, InSAR uses repeat‐pass radar phase differences to estimate changes in SWE or ...
Jack Tarricone, Ross T. Palomaki, Randall Bonnell, Zachary Hoppinen, Shadi Oveisgharan, Jorge Jorge Ruiz, Hans‐Peter Marshall, Elias J. Deeb, Carrie Vuyovich, Steven A. Margulis, Simon Yueh, Richard R. Forster, Ryan W. Webb, Daniel McGrath, Juha Lemmetyinen, Kelly Elder, Rashmi Shah, Xiaolan Xu   +17 more
wiley   +1 more source

Intercomparison of Global Solar Induced Chlorophyl Fluorescence Products

Earth and Space Science, Volume 13, Issue 9, September 2026.
Abstract Satellite observations of Sun‐Induced Chlorophyll Fluorescence (SIF) provide a powerful means to assess terrestrial photosynthesis at regional to global scales, yet major SIF products differ in retrieval strategy, radiometric stability, and sensitivity to environmental conditions.
Nima Madani, Nicholas C. Parazoo, Abhishek Chatterjee   +2 more
wiley   +1 more source

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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
openaire   +2 more sources

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, Dennis L. Helder, Drake Jeno   +2 more
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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, Emmett J. Ientilucci, Nina G. Raqueno, John R. Schott   +3 more
openaire   +1 more source

A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes

Remote Sensing of Environment, 2020
Landsat-8 Operational Land Imager (OLI) provides an opportunity to map chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions.
Zhigang Cao, Ronghua Ma, H. Duan, N. Pahlevan, J. Melack, Ming Shen, Kun Xue   +6 more
semanticscholar   +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, John P. Kerekes, John R. Schott   +2 more
openaire   +2 more sources

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