Results 281 to 290 of about 17,806,092 (307)

Forest Type Classification with Multitemporal Sentinel-2 Data

2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2020
There are limited numbers of studies addressing the forest status, extents, locations, types, and composition over a large area at the regional or national levels with high spatial resolution. Sentinel-2 satellites can obtain 10-to-60m multispectral imagery with high image acquisition frequency, and thus makes it possible to improve the performance of ...
Jin Li, Leiguang Wang
openaire   +1 more source

Review of Sentinel-2 applications

2020
Nowadays with satellites monitoring, most easily can be seen daily changes of the land, climate and water. This paper presents a literature review of researches in the field of earth observation, in recent years is done. First an outline of Copernicus and Sentinel-2 data is given.
Kocaleva, Mirjana, Petrovska, Biserka, Stojkovic, Natasa, Stojanova, Aleksandra, Zlatanovska, Biljana   +4 more
openaire  

การเปรียบเทียบดัชนีพืชพรรณระหว่างภาพถ่ายดาวเทียม Sentinel-2 กับภาพถ่ายจากอากาศยานไร้คนขับ: กรณีศึกษาข้าวแปลงเล็ก 

2023
ข้าวเป็นพืชเศรษฐกิจ และเป็นสินค้าส่งออกที่สำคัญของประเทศไทย โดยมีแนวโน้มความต้องการมากขึ้นทุกปี แต่ผลผลิตลดลงเนื่องจากปัญหาการระบาดโรคในระยะการเจริญเติบโต การติดตามความอุดมสมบูรณ์ และดูแล มีความสำคัญต่อผลผลิตโดยตรง ซึ่งสามารถตรวจสอบด้วยค่าดัชนีพืชพรรณที่บ่งบอกถึงระดับความเขียวพืช มีการตอบสนองที่ดีในเรื่องของคลอโรฟิลล์ในใบไม้ และสอดคล้องกับการเจริญเต ...
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Sentinel 2 global reference image

SPIE Proceedings, 2015
Sentinel-2 is a multispectral, high-resolution, optical imaging mission, developed by the European Space Agency (ESA) in the frame of the Copernicus program of the European Commission. In cooperation with ESA, the Centre National d’Etudes Spatiales (CNES) is responsible for the image quality of the project, and will ensure the CAL/VAL commissioning ...
C. Dechoz, V. Poulain, S. Massera, F. Languille, D. Greslou, F. de Lussy, A. Gaudel, C. L'Helguen, C. Picard, T. Trémas   +9 more
openaire   +1 more source

Correction of the BRDF Effects on Sentinel-2 Ocean Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Sentinel-2 (S2) satellite images present directional reflectance effects caused by the configuration of the 12 detectors of the Multispectral Instrument (MSI). These effects are more distinct over water bodies due to water optical properties and they are often described by the bidirectional reflectance distribution function (BRDF).
Maria Kremezi, Vassilia Karathanassi
openaire   +1 more source

Mapping evapotranspiration on vineyards: The Sentinel-2 potentiality

2012
stimation of actual evapotranspiration in Sicilian vineyards, is an emerging issue since these agricultural systems. Indeed unlike other agricultural species (Vitis vinifera L. ) are generally cultivated under mild water stress, in order to enhance quality (Guadillère et al. , 2002.
CIRAOLO, Giuseppe, CAPODICI, Fulvio, D’Urso, G, LA LOGGIA, Goffredo, MALTESE, Antonino   +4 more
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???????????? ?????????????????? ???????????? ???? ?????????????????? ???????????????????????? ?????????????? Sentinel-2 (???? ???????????????? ?????????????????????????? ???????????????? ?????????????????? ??????????????)

2018
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openaire   +1 more source

Daily detection and quantification of methane leaks using Sentinel-3: a tiered satellite observation approach with Sentinel-2 and Sentinel-5p

Remote Sensing of Environment, 2023
Sudhanshu Pandey, Joannes D Maasakkers, Sander Houweling   +2 more
exaly  

Potential of Sentinel-2 for cartographic mapping

2023
Trabajo presentado en EU Space Week 2022, evento celebrado en Praga (República Checa) entre el 3 y el 6 de octubre de 2022.
openaire   +1 more source

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms

Science of the Total Environment, 2020
Tao Zhou, Yajun Geng, Jianjun Pan
exaly