Modelling agricultural drought: a review of latest advances in big data technologies
I Hanadé Houmma, L El Mansouri, S Gadal… - … , Natural Hazards and …, 2022 - Taylor & Francis
This article reviews the main recent applications of multi-sensor remote sensing and Artificial
Intelligence techniques in multivariate modelling of agricultural drought. The study focused …
Intelligence techniques in multivariate modelling of agricultural drought. The study focused …
A multi-scale algorithm for the NISAR mission high-resolution soil moisture product
This study proposes a multi-scale soil moisture algorithm for the upcoming NASA-ISRO SAR
(NISAR) mission to estimate high-resolution (200 [m]) soil moisture (the water content of the …
(NISAR) mission to estimate high-resolution (200 [m]) soil moisture (the water content of the …
A novel vegetation-water resistant soil moisture index for remotely assessing soil surface moisture content under the low-moderate wheat cover
Soil surface moisture content (SMC) is one of the most critical and fundamental indicators of
crop drought because water is vital for vegetation growth. In recent decades, satellite high …
crop drought because water is vital for vegetation growth. In recent decades, satellite high …
Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands
S Wang, G Fu - Frontiers in Environmental Science, 2023 - frontiersin.org
Soil moisture (SM) is closely correlated with ecosystem structure and function. Examining
whether climate data (temperature, precipitation and radiation) and the normalized …
whether climate data (temperature, precipitation and radiation) and the normalized …
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
The objective of this study is to develop a novel multi-level pre-processing framework and
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …
An improved approach of winter wheat yield estimation by jointly assimilating remotely sensed leaf area index and soil moisture into the Wofost model
The crop model data assimilation approach has been acknowledged as an effective tool for
monitoring crop growth and estimating yield. However, the choice of assimilated variables …
monitoring crop growth and estimating yield. However, the choice of assimilated variables …
Enhanced root zone soil moisture monitoring using multitemporal remote sensing data and machine learning techniques
A Nouraki, M Golabi, M Albaji, AA Naseri… - Remote Sensing …, 2024 - Elsevier
Accurate root zone soil moisture (RZSM) estimation using remote sensing (RS) in areas with
dense vegetation is essential for real-time field monitoring and precise irrigation scheduling …
dense vegetation is essential for real-time field monitoring and precise irrigation scheduling …
[HTML][HTML] Integrating remotely sensed water stress factor with a crop growth model for winter wheat yield estimation in the North China Plain during 2008–2018
Accurate estimation of regional-scale crop yield under drought conditions allows farmers
and agricultural agencies to make well-informed decisions and guide agronomic …
and agricultural agencies to make well-informed decisions and guide agronomic …
Multiscale extrapolative learning algorithm for predictive soil moisture modeling & applications
Abstract We present Multiscale Extrapolative Learning Algorithm (MELA) as a novel artificial-
intelligence (AI)-based data extrapolator. MELA is capable of extending temporally limited …
intelligence (AI)-based data extrapolator. MELA is capable of extending temporally limited …
Reconstruction of a spatially seamless, daily SMAP (SSD_SMAP) surface soil moisture dataset from 2015 to 2021
Surface soil moisture (SSM) is a vital component in terrestrial hydrological processes. As a
type of important microwave remote sensing-based SSM dataset, the Soil Moisture Active …
type of important microwave remote sensing-based SSM dataset, the Soil Moisture Active …