Results 31 to 40 of about 9,529 (202)

INTERCOMPARISON OF DESIS, SENTINEL-2 (MSI) AND SENTINEL-3 (OLCI) DATA FOR WATER COLOUR APPLICATIONS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
In this work, we investigate the potential of DESIS hyperspectral data for water colour applications as preparation for the exploitation of data from the future EnMAP mission.
M. A. Soppa   +6 more
doaj   +1 more source

Confusion matrix for Sentinel-2 MSI.

open access: yes, 2022
Confusion matrix for Sentinel-2 MSI.
Geofrey Mukwada (12004070)   +1 more
core   +1 more source

Fusion of sentinel-1 SAR and sentinel-2 MSI data for accurate Urban land use-land cover classification in Gondar City, Ethiopia

open access: yesEnvironmental Systems Research, 2023
Effective urban planning and management rely on accurate land cover mapping, which can be achieved through the combination of remote sensing data and machine learning algorithms.
Shimelis Sishah Dagne   +4 more
doaj   +1 more source

Mapping Winter Wheat with Combinations of Temporally Aggregated Sentinel-2 and Landsat-8 Data in Shandong Province, China

open access: yesRemote Sensing, 2020
Winter wheat is one of the major cereal crops in China. The spatial distribution of winter wheat planting areas is closely related to food security; however, mapping winter wheat with time-series finer spatial resolution satellite images across large ...
Feng Xu   +9 more
doaj   +1 more source

A Quick Band-to-Band Mis-Registration Detection Method for Sentinel-2 MSI Images [PDF]

open access: yesRemote Sensing, 2021
A band-to-band mis-registration (BBMR) error often occurs in remote sensing (RS) images acquired by multi-spectral push broom spectrometers such as the Sentinel-2 Multi-spectral Instrument (MSI), leading to adverse impacts on the reliability of further RS applications.
Tianxin Chen, Yongxue Liu
openaire   +2 more sources

Manufacturing, testing and alignment of Sentinel-2 MSI telescope mirrors [PDF]

open access: yesInternational Conference on Space Optics — ICSO 2012, 2017
The ESA Sentinel-2 mission developed by EADS Astrium will be devoted to Earth high resolution spectral imagery for the purpose of a global environmental monitoring. As a subcontractor of EADS Astrium, AMOS was responsible for the manufacturing of the instrument telescope mirrors and for the validation of the telescope alignment procedure.
C. Flebus   +3 more
openaire   +1 more source

Spatiotemporal Dynamics of Suspended Sediments in the Negro River, Amazon Basin, from In Situ and Sentinel-2 Remote Sensing Data

open access: yesISPRS International Journal of Geo-Information, 2021
Monitoring suspended sediments through remote sensing data in black-water rivers is a challenge. Herein, remote sensing reflectance (Rrs) from in situ measurements and Sentinel-2 Multi-Spectral Instrument (MSI) images were used to estimate the suspended ...
Rogério Ribeiro Marinho   +3 more
doaj   +1 more source

IdePix for Sentinel-2 MSI Algorithm Theoretical Basis Document

open access: yes, 2021
This document provides the theoretical basis for the Sentinel-2 MSI IdePix. IdePix stands for Identification of Pixel properties and is a multi-sensor pixel identification tool available as a SNAP (Sentinel Application Platform) plugin. IdePix provides pixel identification algorithms for a wide variety of sensors like Sentinel-2 MSI, Sentinel-3 OLCI ...
Jan Wevers   +5 more
openaire   +2 more sources

Discrimination of Tomato Plants (Solanum lycopersicum) Grown under Anaerobic Baffled Reactor Effluent, Nitrified Urine Concentrates and Commercial Hydroponic Fertilizer Regimes Using Simulated Sensor Spectral Settings

open access: yesAgronomy, 2019
We assess the discriminative strength of three different satellite spectral settings (HyspIRI, the forthcoming Landsat 9 and Sentinel 2-MSI), in mapping tomato (Solanum lycopersicum Linnaeus) plants grown under hydroponic system, using human-excreta ...
Mbulisi Sibanda   +7 more
doaj   +1 more source

Comparison of Recent Remote Sensing Data Using an Artificial Neural Network to Predict Soil Moisture by Focusing on Radiometric Indices

open access: yesTurkish Journal of Agriculture: Food Science and Technology, 2022
Remote sensing data is widely used as a common variable for digital soil mapping estimating models. The aim of this study, quite recently made available to researchers Operational Land Imager 2 (OLI–2) have structure Landsat 9 and Landsat 8 (OLI) and ...
Miraç Kılıç, Recep Gündoğan
doaj   +1 more source

Home - About - Disclaimer - Privacy