Results 21 to 30 of about 9,529 (202)

Monitoring active fires in Borneo from Sentinel-2 MSI images

open access: yesGIScience & Remote Sensing
A detailed, spatially explicit fire inventory is essential for improving our understanding of biomass burning and for supporting the formulation of targeted fire mitigation policies.
Xiaoxiao Guo   +4 more
doaj   +2 more sources

Assessment of Atmospheric Correction Processors and Spectral Bands for Satellite-Derived Bathymetry Using Sentinel-2 Data in the Middle Adriatic

open access: yesHydrology, 2022
Satellite-derived bathymetry (SDB) based on multispectral satellite images (MSI) from the satellite’s optical sensors is a recent technique for surveying shallow waters.
Ljerka Vrdoljak   +1 more
doaj   +1 more source

Water color from Sentinel-2 MSI data for monitoring large rivers: Yangtze and Danube [PDF]

open access: yes, 2023
Rivers provide key ecosystem services that are inherently engineered and optimized to meet the strategic and economic needs of countries around the world.
Wang, Shenglei   +6 more
core   +1 more source

Local Climate Zone Mapping Using Multi-Source Free Available Datasets on Google Earth Engine Platform

open access: yesLand, 2021
As one of the widely concerned urban climate issues, urban heat island (UHI) has been studied using the local climate zone (LCZ) classification scheme in recent years. More and more effort has been focused on improving LCZ mapping accuracy. It has become
Lingfei Shi, Feng Ling
doaj   +1 more source

EVALUATION OF SENTINEL-2/MSI IMAGERY PRODUCTS LEVEL-2A OBTAINED BY THREE DIFFERENT ATMOSPHERIC CORRECTIONS FOR MONITORING SUSPENDED SEDIMENTS CONCENTRATION IN MADEIRA RIVER, BRAZIL [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Data provided by spatial sensors combined with remote sensing techniques and analysis of the optical properties of waters allow the mapping of the suspended sediment concentration (SSC) in aquatic bodies. For this, estimation models require data with the
D. R. A. E. Santos   +5 more
doaj   +1 more source

DISCRIMINATION OF TOMATO PLANTS (SOLANUM LYCOPERSICUM) GROWN UNDER ANAEROBIC BAFFLED REACTOR EFFLUENT, NITRIFIED URINE CONCENTRATE AND COMMERCIAL HYDROPONIC FERTILIZER REGIMES USING MULTI-SOURCE SATELLITE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
We evaluate the detection and discriminative strength of three different satellite spectral settings, namely, HyspIRI, the forthcoming Landsat 9 and Sentinel 2-MSI, in mapping tomato (Solanum lycopersicum) plants grown under hydroponic system using ...
M. Sibanda   +7 more
doaj   +1 more source

Optimal and robust vegetation mapping in complex environments using multiple satellite imagery: Application to mangroves in Southeast Asia

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
A band selection model was described for efficient and accurate remotely-sensed vegetation mapping in cloudy mixed-vegetation areas, demonstrated with an application on mapping mangroves in Southeast Asia (SE Asia).
Han Xiao   +6 more
doaj   +1 more source

Investigating the Potential of Sentinel-2 MSI in Early Crop Identification in Northeast China

open access: yesRemote Sensing, 2022
Early crop identification can provide timely and valuable information for agricultural planting management departments to make reasonable and correct decisions. At present, there is still a lack of systematic summary and analysis on how to obtain real-time samples in the early stage, what the optimal feature sets are, and what level of crop ...
Mengfan Wei   +6 more
openaire   +2 more sources

PIXEL-BASED CLASSIFICATION ANALYSIS OF LAND USE LAND COVER USING SENTINEL-2 AND LANDSAT-8 DATA [PDF]

open access: yesThe 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
doaj   +1 more source

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