Results 261 to 270 of about 5,227,350 (303)

Application of Deep Learning and Rain‐On‐Grid Hydrodynamic Modeling for Catchment‐Scale Flood Forecasting in Guwahati, India

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This study integrates deep learning‐based real‐time rainfall forecasting with hydrodynamic flood modeling to provide near real‐time predictions of urban flood inundation. The research focuses on urban Guwahati, a rapidly urbanizing city in Northeast India prone to recurrent pluvial flooding. A novel hybrid model, Multivariate Singular Spectrum
Shejule Priya Ashok, Sreeja Pekkat
wiley   +1 more source

Performance Evaluation of Automated Flood Inundation Mapping Techniques Using Multi‐Temporal Sentinel‐1 SAR Data

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT In recent times, the development of algorithms to delineate water surface maps has significantly boosted flood monitoring and mitigation efforts by utilizing dual polarization, multi‐temporal Sentinel‐1 synthetic aperture radar (SAR) data. The Sentinel‐1 mission, with its global land monitoring capability, has been widely employed for SAR ...
Gautam Dadhich   +5 more
wiley   +1 more source

The Most Elusive Amazonian Mammal? Distribution, Survey, Ecology and Conservation of the Bushy‐Tailed Opossum Glironia venusta

open access: yesMammal Review, Volume 56, Issue 2, June 2026.
Integrating multiple data sources, we reveal a broader distribution for Glironia venusta and highlight how sampling strategies shape our understanding of rare arboreal mammals. ABSTRACT Introduction Arboreal and nocturnal mammals in the Amazon remain poorly understood due to low detectability and methodological limitations. Glironia venusta, one of the
Alexander Roldán Arévalo‐Sandi   +5 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   +2 more
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

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

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

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