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PIXEL-BASED CLASSIFICATION ANALYSIS OF LAND USE LAND COVER USING SENTINEL-2 AND LANDSAT-8 DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The aim of this study is to conduct accuracy analyses of Land Use Land Cover (LULC) classifications derived from Sentinel-2 and Landsat-8 data, and to reveal which dataset present better accuracy results.
A. Sekertekin, A. M. Marangoz, H. Akcin
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Evaluating Multi-Temporal Sentinel-1 and Sentinel-2 Imagery for Crop Classification: A Case Study in a Paddy Rice Growing Region of China [PDF]
SensorsInformation on crop planting structure serves as a key reference for crop growth monitoring and agricultural structural adjustment. Mapping the spatial distribution of crops through feature-based classification serves as a fundamental component of ...
Rui Wang +6 more
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SUPER-RESOLUTION FOR SENTINEL-2 IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Obtaining Sentinel-2 imagery of higher spatial resolution than the native bands while ensuring that output imagery preserves the original radiometry has become a key issue since the deployment of Sentinel-2 satellites.
M. Galar, R. Sesma, C. Ayala, C. Aranda
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Journal of Computer and Creative Technologyการจำแนกประเภทการใช้ประโยชน์ที่ดินมีบทบาทสำคัญในการจัดการทรัพยากรธรรมชาติและการวางผังเมือง โดยให้ข้อมูลที่จำเป็นสำหรับการประเมินการเปลี่ยนแปลงเชิงพื้นที่และผลกระทบต่อระบบนิเวศ วัตถุประสงค์ของงานวิจัยเพื่อสร้างและวิเคราะห์ประสิทธิภาพของสถาปัตยกรรมโครงข ...
อนุสรณ์ จิรกิตติ์ภัทรกุล +1 more
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ESTIMATION OF SOIL MOISTURE USING SENTINEL-1 AND SENTINEL-2 IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Soil moisture is a vital parameter for environmental research such as agriculture, hydrology, natural resources, environmental hazards, etc. It is essential to have timely soil moisture maps prepared with high accuracy, speed, and low cost. Therefore, in
R. Esmaeili Sarteshnizi +2 more
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Integration of Sentinel 1 and Sentinel 2 Satellite Images for Crop Mapping
Applied Sciences, 2021 Crop identification is key to global food security. Due to the large scale of crop estimation, the science of remote sensing was able to do well in this field.
Shilan Felegari +7 more
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Improved red-edge chlorophyll-a detection for Sentinel 2
Ecological Indicators, 2021 Chlorophyll-a (chl-a) concentration is an indicator of algal biomass. The Sentinel 2 platform offers greatly improved spatial resolution over other satellite platforms designed for water based chl-a retrievals and includes a “red-edge” band at 704 nm not
James Bramich +2 more
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Crop growth monitoring through Sentinel and Landsat data based NDVI time-series [PDF]
Компьютерная оптика, 2020 Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security and to ...
M.S. Boori +2 more
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The Sentinel 2 MSI Spectral Mixing Space
Remote Sensing, 2022 A composite spectral feature space is used to characterize the spectral mixing properties of Sentinel 2 Multispectral Instrument (MSI) spectra over a wide diversity of landscapes.
Christopher Small, Daniel Sousa
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Remote Sensing, 2022 Crop phenology monitoring is a necessary action for precision agriculture. Sentinel-1 and Sentinel-2 satellites provide us with the opportunity to monitor crop phenology at a high spatial resolution with high accuracy.
Md Yeasin +4 more
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