Results 11 to 20 of about 107,993,024 (208)

Crop NDVI Monitoring Based on Sentinel 1 [PDF]

open access: yesRemote Sensing, 2019
Monitoring agricultural crops is necessary for decision-making in the field. However, it is known that in some regions and periods, cloud cover makes this activity difficult to carry out in a systematic way throughout the phenological cycle of crops ...
Roberto Filgueiras   +4 more
doaj   +3 more sources

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

Jando93/Sentinel-1-unsupervised-burned-area-detection: Sentinel-1-unsupervised-burned-area-detection

open access: yes, 2021
This code represents a processing workflow for the unsupervised detection and mapping of burned areas using SAR Sentinel-1 (S-1) satellite data.
Jando93
core   +1 more source

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

Evaluation of the potential of Sentinel-1 and Sentinel-1 data for clay content mapping [PDF]

open access: yes, 2020
<p>Soil texture is a key parameter in agricultural processes and an important measure for agricultural prediction, water cycle, filtering of pollutants and carbon storage. Besides, its estimation is essential for agronomists, hydrologists, geologists and environmentalists and for modeling in these application areas.
Bousbih, Safa   +5 more
openaire   +2 more sources

Sentinel-1 FDBAQ Performance Validation Using TerraSAR-X Data [PDF]

open access: yes, 2012
Two Block Adaptive Quantization (BAQ) algorithms considered for implementation on-board Sentinel-1, the Entropy Constrained BAQ (ECBAQ) and the Flexible Dynamic BAQ (FDBAQ) are investigated with real data acquired by TerraSAR-X.
Evert Attema   +9 more
core   +1 more source

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

Sentinel-1 object-based image classification result (2017, 2018, 2019).

open access: yes, 2022
Sentinel-1 object-based image classification result (2017, 2018, 2019).
Kumar Arun Prasad (14249885)   +8 more
core   +1 more source

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