Proceedings ArticleDOI
Correlation Between NDVI and Sentinel-1 Derived Features for Maize
Jesús Álvarez-Mozos,Júlia Castell Villanueva,M. Arias,María González-Audícana +3 more
- pp 6773-6776
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TLDR
In this paper, the correlation of NDVI with several SAR features obtained from Sentinel-1 data over maize was evaluated, including the backscattering coefficients in VH and VV polarizations, their ratio, product, sum and difference, as well as the Radar Vegetation Index (RVI), the Vertical Dual De-Polarization Index (VDDPI) and the Normalized Difference Polarization Index(NDPI).Abstract:
Operational agricultural applications of remote sensing, such as crop monitoring or irrigation scheduling, often rely on the Normalized Difference Vegetation Index (NDVI) obtained from multispectral observations. Yet, cloud cover limits its availability, so the possibility to estimate it from SAR data is appealing, as it would enable a complementary monitoring of crops. The objective of this article is to evaluate the correlation of NDVI with several SAR features obtained from Sentinel-1 data over maize. Eighteen maize fields, located in the province of Navarre (Spain), were analyzed in two agricultural campaigns. Nine SAR features were evaluated, including: the backscattering coefficients in VH and VV polarizations, their ratio, product, sum and difference, as well as the Radar Vegetation Index (RVI), the Vertical Dual De-Polarization Index (VDDPI) and the Normalized Difference Polarization Index (NDPI). The correlations obtained in linear and dB units were compared, as well as the influence of temporal smoothing. The highest correlation was obtained with VH backscatter expressed in dB.read more
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Journal ArticleDOI
A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
D. Montero,Cesar Aybar,Miguel D. Mahecha,Francesco Martinuzzi,Maximilian Söchting,Sebastian Wieneke +5 more
TL;DR: ASI as mentioned in this paper is a catalog of spectral indices derived from multispectral remote sensing products, which is used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes).
Journal ArticleDOI
A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data
Priti Upadhyay,Mikolaj Czerkawski,Christopher Davison,Javier Cardona,Malcolm Macdonald,Ivan Andonovic,Craig Michie,Robert Atkinson,Nikela Papadopoulou,Konstantinos Nikas,Christos Tachtatzis +10 more
TL;DR: In this paper , a flexible Python framework is proposed to generate consistent analysis-ready data (ARD) from low-level products provided by the European Space Agency (ESA) satellite constellations.
Journal ArticleDOI
Gap Filling Cloudy Sentinel-2 NDVI and NDWI Pixels with Multi-Frequency Denoised C-Band and L-Band Synthetic Aperture Radar (SAR), Texture, and Shallow Learning Techniques
TL;DR: In this article , the authors evaluated C-band Sentinel-1, L-band Uninhabited Aerial Vehicle SAR (UAVSAR) and texture for gap filling using machine learning regression algorithms across three seasons.
Proceedings ArticleDOI
Estimating NDVI from SAR Images Using DNN
TL;DR: In this article , a deep learning-based method for NDVI estimation from SAR data is proposed, which uses a database with corresponding MS and SAR patches, then uses a convolutional neural network (CNN) for predicting NDVI of SAR images.
Proceedings ArticleDOI
Estimating NDVI from SAR Images Using DNN
TL;DR: In this paper , a deep learning-based method for NDVI estimation from SAR data is proposed, which uses a database with corresponding MS and SAR patches, then uses a convolutional neural network (CNN) for predicting NDVI of SAR images.
References
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TL;DR: This paper develops a model function that expresses copolarized backscattering cross sections (sigmahh and sigmavv) in terms of volumetric soil moisture using L-band experimental data for both bare and vegetated surfaces and proposes a viable approach to determine these two unknowns using combined radiometer and radar data.
Journal ArticleDOI
Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage
Rouhollah Nasirzadehdizaji,Fusun Balik Sanli,Saygin Abdikan,Ziyadin Cakir,Aliihsan Sekertekin,Mustafa Ustuner +5 more
TL;DR: In this article, the authors investigated the sensitivity of 10 parameters derived from multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) data, to crop height and canopy coverage (CC) of maize, sunflower, and wheat.
Journal ArticleDOI
Significance of dual polarimetric synthetic aperture radar in biomass retrieval: An attempt on Sentinel-1
TL;DR: In this paper, the authors investigated the suitability of Sentinel-1 data product of C-band frequency (5.36 GHz) in the estimation of terrestrial biomass and proposed a model DPSVI (Dual Polarization SAR Vegetation Index) was proposed based on the pattern of scatter plot constructed between the backscattering coefficient of VV (σvvo) and VH(σvho) imageries in which the pixels representing the surface features such as vegetation, soil, and water bodies were distributed according to the theory of DOP.