Results 11 to 20 of about 328,621 (294)

Determining the Most Suitable Vegetation Index for Mapping of Desertification Intensity in Arid Lands of Sistan Using Sentinel Images [PDF]

open access: yesمدیریت بیابان, 2022
Vegetation is one of the most important key components in arid regions for reducing of the effects of erosion and determining the severity of desertification. Decrease in vegetation leads to increase in surface albedo.
Farhad Zolfaghari, Vahideh Abdollahi
doaj   +1 more source

Sen2Cor for Sentinel-2 [PDF]

open access: yesImage and Signal Processing for Remote Sensing XXIII, 2017
In the frame of the Copernicus programme, ESA has developed and launched the Sentinel-2 optical imaging mission that delivers optical data products designed to feed downstream services mainly related to land monitoring, emergency management and security.
Main-Knorn, Magdalena   +5 more
openaire   +2 more sources

A novel spectral index for mapping blue colour-coated steel roofs (BCCSRs) in urban areas using Sentinel-2 data

open access: yesInternational Journal of Digital Earth, 2023
Blue colour-coated steel roofs (BCCSRs) offer a lightweight and economical option to concrete and other cladding in buildings, but they are also controversial for altering the surface energy budget and water cycle.
Chuanwu Zhao, Yaozhong Pan
doaj   +1 more source

SUPER-RESOLUTION FOR SENTINEL-2 IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Abstract. 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. Several studies have been carried out on the upsampling of 20 m and 60 m Sentinel-2 bands to 10 meters resolution taking ...
M. Galar, R. Sesma, C. Ayala, C. Aranda
openaire   +5 more sources

Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation

open access: yesRemote Sensing, 2022
Soil moisture is an essential parameter for a better understanding of water processes in the soil–vegetation–atmosphere continuum. Satellite synthetic aperture radar (SAR) is well suited for monitoring water content at fine spatial resolutions on the order of 1 km or higher.
Nativel, Simon   +6 more
openaire   +3 more sources

Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data

open access: yesThe Third International Conference on Fire Behavior and Risk, 2022
Fires devastated Europe during the summer of 2021, with hundreds of events burning across the Mediterranean, causing unprecedented damage to people, properties, and ecosystems. Remote sensing (RS) is widely recognized as a key source of data for monitoring wildfires [1], exploiting both optical/multi-spectral and microwave satellite sensors [2 ...
Antonio Pepe   +3 more
openaire   +3 more sources

Quality monitoring of inland water bodies using Google Earth Engine

open access: yesJournal of Hydroinformatics, 2023
Regular quality monitoring of inland water bodies is vital for identifying the areas with deteriorating water quality. Satellite remote sensing has been used for obtaining long-term trends that require the processing of many images.
P. Y. Sherjah   +2 more
doaj   +1 more source

Fast Urban Land Cover Mapping Exploiting Sentinel-1 and Sentinel-2 Data [PDF]

open access: yesRemote Sensing, 2021
The rapid change and expansion of human settlements raise the need for precise remote-sensing monitoring tools. While some Land Cover (LC) maps are publicly available, the knowledge of the up-to-date urban extent for a specific instance in time is often missing. The lack of a relevant urban mask, especially in developing countries, increases the burden
Petrushevsky N.   +2 more
openaire   +2 more sources

Super-resolving multiresolution images with band-independant geometry of multispectral pixels [PDF]

open access: yes, 2016
A new resolution enhancement method is presented for multispectral and multi-resolution images, such as these provided by the Sentinel-2 satellites. Starting from the highest resolution bands, band-dependent information (reflectance) is separated from ...
Brodu, Nicolas
core   +5 more sources

Multi-Year Cereal Crop Classification Model in a Semi-Arid Region Using Sentinel-2 and Landsat 7–8 Data

open access: yesAgriculture, 2023
This study developed a multi-year classification model for winter cereal in a semi-arid region, the Kairouan area (Tunisia). A random forest classification model was constructed using Sentinel 2 (S2) vegetation indices for a reference agricultural season,
Manel Khlif   +5 more
doaj   +1 more source

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