Flash drought: Review of concept, prediction and the potential for machine learning, deep learning methods
This paper reviews the Flash Drought concept, the uncertainties associated with FD
prediction, and the potential of Machine Learning (ML) and Deep learning (DL) for future …
prediction, and the potential of Machine Learning (ML) and Deep learning (DL) for future …
Drought prediction: a comprehensive review of different drought prediction models and adopted technologies
Precipitation deficit conditions and temperature anomalies are responsible for the
occurrence of various types of natural disasters that cause tremendous loss of human life …
occurrence of various types of natural disasters that cause tremendous loss of human life …
Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms
Droughts are particularly disastrous in South Africa and other arid regions that are water-
scarce by nature due to low rainfall and water sources. According to some studies, droughts …
scarce by nature due to low rainfall and water sources. According to some studies, droughts …
Dynamic-LSTM hybrid models to improve seasonal drought predictions over China
Accurate drought prediction is essential for drought resilience and water resources
management. The skill of seasonal drought prediction from dynamical and statistical models …
management. The skill of seasonal drought prediction from dynamical and statistical models …
Artificial intelligence application in drought assessment, monitoring and forecasting: a review
Drought is a natural hazard creating havoc on economic, social and environmental aspects.
As a result of its slow and creeping nature, it is problematic to establish the onset as well as …
As a result of its slow and creeping nature, it is problematic to establish the onset as well as …
Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets …
Q Zhu, Y Wang, Y Luo - Hydrological processes, 2021 - Wiley Online Library
Soil moisture prediction is of great importance in crop yield forecasting and drought
monitoring. In this study, the multi‐layer root zone soil moisture (0‐5, 0‐10, 10‐40 and 40 …
monitoring. In this study, the multi‐layer root zone soil moisture (0‐5, 0‐10, 10‐40 and 40 …
Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: A study in …
Climate change has increased the frequency of drought occurrence in various parts of the
world. Drought as a complex phenomenon causes severe impacts on ecological and socio …
world. Drought as a complex phenomenon causes severe impacts on ecological and socio …
A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model
A Ghozat, A Sharafati, SBHS Asadollah… - … and Electronics in …, 2023 - Elsevier
This study uses the long-term Climate Hazards Group InfraRed Precipitation with Station
(CHIRPS) dataset with 0.05° spatial resolution to calculate the Standardized Precipitation …
(CHIRPS) dataset with 0.05° spatial resolution to calculate the Standardized Precipitation …
Characterization and prediction of water stress using time series and artificial intelligence models
A Gorlapalli, S Kallakuri, PD Sreekanth, R Patil… - Sustainability, 2022 - mdpi.com
In agroecosystems, drought is a critical climatic phenomenon that affects evapotranspiration
and induces water stress in plants. The objective in this study was to characterize and …
and induces water stress in plants. The objective in this study was to characterize and …
Drought prediction based on an improved VMD-OS-QR-ELM model
Y Liu, LH Wang, LB Yang, XM Liu - Plos one, 2022 - journals.plos.org
To overcome the low accuracy, poor reliability, and delay in the current drought prediction
models, we propose a new extreme learning machine (ELM) based on an improved …
models, we propose a new extreme learning machine (ELM) based on an improved …