MODIS-Landsat fusion-based single-band algorithms for TSS and turbidity estimation in an urban-waste-dominated river reach
Riverine ecosystem management along an urban stretch mostly depends on high-frequent
(daily-scale) monitoring of water quality at finer spatial resolutions. However, with the …
(daily-scale) monitoring of water quality at finer spatial resolutions. However, with the …
Long-lead prediction of ENSO modoki index using machine learning algorithms
The focus of this study is to evaluate the efficacy of Machine Learning (ML) algorithms in the
long-lead prediction of El Niño (La Niña) Modoki (ENSO Modoki) index (EMI). We evaluated …
long-lead prediction of El Niño (La Niña) Modoki (ENSO Modoki) index (EMI). We evaluated …
A D-vine copula quantile regression approach for soil moisture retrieval from dual polarimetric SAR Sentinel-1 over vegetated terrains
Soil moisture retrieval from Synthetic Aperture Radar (SAR) over vegetated terrains requires
an isolation of soil and canopy signals from observed backscatter (σ°). This study develops a …
an isolation of soil and canopy signals from observed backscatter (σ°). This study develops a …
Copula-based probabilistic spectral algorithms for high-frequent streamflow estimation
The recent increase in population growth and urbanisation demands for real-time riverine
water management to fulfil the daily-scale domestic and ecological water needs …
water management to fulfil the daily-scale domestic and ecological water needs …
Wheat crop biophysical parameters retrieval using hybrid-polarized RISAT-1 SAR data
The main goal of this study was to assess the potential of SAR backscatter signatures (RH
and RV) retrieved from hybrid-polarized RISAT-1 SAR data in providing relevant information …
and RV) retrieved from hybrid-polarized RISAT-1 SAR data in providing relevant information …
[HTML][HTML] Bias correction of zero-inflated RCM precipitation fields: a copula-based scheme for both mean and extreme conditions
Abstract Changes in extreme precipitation due to climate change often require the
application of methods to bias correct simulated atmospheric fields, including extremes …
application of methods to bias correct simulated atmospheric fields, including extremes …
[HTML][HTML] A pixel-scale measurement method of soil moisture using ground-penetrating radar
W Song, Y Lu, Y Wang, J Lu, H Shi - Water, 2023 - mdpi.com
Ground validation of remote sensing soil moisture requires ground measurements
corresponding to the pixel scale. To date, there is still a lack of simple, fast and reasonable …
corresponding to the pixel scale. To date, there is still a lack of simple, fast and reasonable …
UAV synthetic aperture radar system for control of vegetation and soil moisture
KS Lyalin, AA Biryuk, AY Sheremet… - … IEEE Conference of …, 2018 - ieeexplore.ieee.org
The scope of application of imaging radars is constantly growing and now starts to cover
agricultural field. Hence, there is a growing demand for mobile system that can deliver all of …
agricultural field. Hence, there is a growing demand for mobile system that can deliver all of …
A polarimetric decomposition and copula quantile regression approach for soil moisture estimation from radarsat-2 data over vegetated areas
L Zhang, R Wang, H Chai, X Lv - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
This article proposes a novel framework for probabilistic estimation of surface soil moisture
(SSM) based on polarimetric decomposition and copula quantile regression, mainly …
(SSM) based on polarimetric decomposition and copula quantile regression, mainly …
A novel framework to determine the usefulness of satellite-based soil moisture data in streamflow prediction using dynamic Budyko model
Soil moisture plays an important role in partitioning rainfall into runoff and
evapotranspiration. Due to advancements in remotely sensed soil moisture data acquisition …
evapotranspiration. Due to advancements in remotely sensed soil moisture data acquisition …