Results 21 to 30 of about 128,890 (333)

Multi-source remote sensing data improves the classification accuracy of natural forests and eucalyptus plantations

open access: yesRevista Brasileira de Cartografia, 2020
It is challenging to map the spatial distribution of natural and planted forests based on satellite images because of the high correlation among them.
Gustavo Fluminense Carneiro   +2 more
doaj   +1 more source

Coseismic displacement fields and the slip mechanism of the 2021 Mw 6.7 Hovsgol earthquake in Mongolia constrained by Sentinel-1 and ALOS-2 InSAR

open access: yesGIScience & Remote Sensing, 2023
On 11 January 2021, an Mw 6.7 earthquake, which involved a complex rupture mechanism, occurred in Lake Hovsgol, Mongolia. This study measured the earthquake’s 3-D coseismic surface displacement fields using interferometric synthetic aperture radar (InSAR)
Taewook Kim, Hyangsun Han
doaj   +1 more source

Application of Sntinel-1 radar interferometric images for the monitoring of vertical displacements of the earth’s surface affected by non-tidal atmospheric loading

open access: yesГеофизический журнал, 2023
The vertical movements of the Earth’s surface affected by non-tidal atmospheric loading (NTAL) are analyzed using satellite radar interferometry data. A clear relationship between deformation maps data derived from radar interferometry data and the GNSS ...
K.R. Tretyak, D.V. Kukhtar
doaj   +1 more source

Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates [PDF]

open access: yes, 2017
SMAP (Soil Moisture Active and Passive) radiometer observations at similar to 40 km resolution are routinely assimilated into the NASA Catchment Land Surface Model to generate the 9 km SMAP Level-4 Soil Moisture product.
Albergel   +42 more
core   +5 more sources

The Copernicus EMS Validation service as a vector for improving the emergency mapping based on Sentinel data

open access: yesRevista de Teledetección, 2020
The Copernicus Emergency Management Service (CEMS) is coordinated by the European Commission and “provides all actors involved in the management of natural disasters, man-made emergency situations, and humanitarian crises with timely and accurate geo ...
U. Donezar-Hoyos   +13 more
doaj   +1 more source

Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data

open access: yesGIScience & Remote Sensing, 2021
Wetlands are among the most important, yet in danger ecosystems and play a vital role for the well-being of humans as well as flora and fauna. Over the past few years, state-of-the-art deep learning (DL) tools have gained attention for wetland ...
Ali Jamali   +5 more
doaj   +1 more source

Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data

open access: yesOpen Geosciences, 2023
Distinguishing different kinds of igneous rocks is difficult because of their subtle differences. Synthetic aperture radar (SAR) is sensitive to rock surface morphology, which can help a lot in classification. Dual-pol SAR data have the advantages of low
Guo Senmiao   +4 more
doaj   +1 more source

PERSISTENT SCATTERER INTERFEROMETRY USING SENTINEL-1 DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Abstract. This paper is focused on deformation monitoring using a Persistent Scatterer Interferometry technique and the interferometric SAR data acquired by the Sentinel-1 satellite of the European Space Agency. The first part of the paper describes the procedure used to process and analyze Sentinel-1 interferometric SAR data.
M. Crosetto   +5 more
openaire   +4 more sources

First insights on the potential of Sentinel-1 for landslides detection [PDF]

open access: yes, 2016
This paper illustrates the potential of Sentinel-1 for landslide detection, Accepted 23 March 2016 mapping and characterization with the aim of updating inventory maps and monitoring landslide activity.
Barra, Anna   +5 more
core   +2 more sources

Sample-free automated mapping of double-season rice in China using Sentinel-1 SAR imagery

open access: yesFrontiers in Environmental Science, 2023
Introduction: Timely and accurately mapping the spatial distribution of rice is of great significance for estimating crop yield, ensuring food security and freshwater resources, and studying climate change.
Xi Zhang   +8 more
doaj   +1 more source

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