Results 1 to 10 of about 149,547 (281)

Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas [PDF]

Remote Sensing, 2016
Monitoring of the human-induced changes and the availability of reliable and methodologically consistent urban area maps are essential to support sustainable urban development on a global scale.
Martino Pesaresi, Christina Corbane, Andreea Julea, Aneta J. Florczyk, Vasileios Syrris, Pierre Soille   +5 more
doaj   +3 more sources

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
doaj   +2 more sources

A high-resolution global leaf chlorophyll content product using the Sentinel-2 data. [PDF]

Sci Data
Zhang H, Li J, Gu C, Guan L, Wang X, Mumtaz F, Dong Y, Zhao J, Liu Q, Lin S, Yu W.   +10 more
europepmc   +2 more sources

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, S. Sahebi Vayghan, I. Jazirian   +2 more
doaj   +1 more source

A Comparative Assessment of Sentinel-2 and UAV-Based Imagery for Soil Organic Carbon Estimations Using Machine Learning Models. [PDF]

Sensors (Basel)
El-Jamaoui I, José Martínez Sánchez M, Pérez Sirvent C, Martínez López S.   +3 more
europepmc   +3 more sources

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, Alireza Sharifi, Kamran Moravej, Muhammad Amin, Ahmad Golchin, Anselme Muzirafuti, Aqil Tariq, Na Zhao   +7 more
doaj   +1 more source

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, Christopher J.S. Bolch, Andrew Fischer   +2 more
doaj   +1 more source

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 , K. Choudhary, A.V. Kupriyanov   +2 more
doaj   +1 more source

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
doaj   +1 more source

Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data

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, Dipanwita Haldar, Suresh Kumar, Ranjit Kumar Paul, Sonaka Ghosh   +4 more
doaj   +1 more source