AIMC Topic: Droughts

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An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning.

Environmental monitoring and assessment May 6, 2024
Drought events threaten freshwater reservoirs and agricultural productivity, particularly in semi-arid regions characterized by erratic rainfall. This study evaluates a novel technique for assessing the impact of drought on LULC variations in the con...
Agriculture Environmental Monitoring Machine Learning Satellite Imagery Droughts Climate Change Remote Sensing Technology
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Fusion-based approach for hydrometeorological drought modeling: a regional investigation for Iran.

Environmental science and pollution research international Mar 13, 2024
The objective of this study was to model a new drought index called the Fusion-based Hydrological Meteorological Drought Index (FHMDI) to simultaneously monitor hydrological and meteorological drought. Aiming to estimate drought more accurately, loca...
Droughts Artificial Intelligence Neural Networks, Computer Algorithms Iran
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An enhanced drought forecasting in coastal arid regions using deep learning approach with evaporation index.

Environmental research Jan 10, 2024
Coastal arid regions are similar to deserts, where it receives significantly less rainfall, less than 10 cm. Perhaps the world's worst natural disaster, coastal area droughts, can only be detected using reliable monitoring systems. Creating a reliabl...
Forecasting Temperature Machine Learning Droughts Deep Learning
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Application of empirical mode decomposition, particle swarm optimization, and support vector machine methods to predict stream flows.

Environmental monitoring and assessment Aug 29, 2023
Modeling stream flows is vital for water resource planning and flood and drought management. In this study, the performance of hybrid models constructed by combining least square support vector machines (LSSVM), empirical model decomposition (EMD), a...
Support Vector Machine Rivers Environmental Monitoring Droughts Desert Climate
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Environmental science and pollution research international Mar 1, 2023
Precipitation, as an important indicator describing the evolution of the regional climate system, plays an important role in understanding the spatial and temporal distribution characteristics of regional precipitation. Scientific and accurate predic...
Droughts Rain Climate Floods Weather Forecasting Neural Networks, Computer
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Non-parametric severity-duration-frequency analysis of drought based on satellite-based product and model fusion techniques.

Environmental science and pollution research international Jan 16, 2023
Climate change has increased the severity and frequency of droughts over the last decades. To alleviate the adverse impacts of droughts, an effective planning and management framework requires high-resolution spatiotemporal data. TRMM multi-satellite...
Meteorology Droughts Iran Artificial Intelligence Climate Change
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Drought Assessment Based on Data Fusion and Deep Learning.

Computational intelligence and neuroscience Jul 31, 2022
Drought is a major factor affecting the sustainable development of society and the economy. Research on drought assessment is of great significance for formulating drought emergency policies and drought risk early warning and enhancing the ability to...
Rivers Meteorology Hydrology Deep Learning Droughts
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A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.

Environmental science and pollution research international Jan 29, 2022
Meteorological events constantly affect human life, especially the occurrence of excessive precipitation in a short time causes important events such as floods. However, in case of insufficient precipitation for a long time, drought occurs. In recent...
Time Forecasting Neural Networks, Computer Meteorology Droughts
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StomataScorer: a portable and high-throughput leaf stomata trait scorer combined with deep learning and an improved CV model.

Plant biotechnology journal Nov 12, 2021
To measure stomatal traits automatically and nondestructively, a new method for detecting stomata and extracting stomatal traits was proposed. Two portable microscopes with different resolutions (TipScope with a 40× lens attached to a smartphone and ...
Plant Leaves Droughts Deep Learning Phenotype Plant Stomata
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Interpretable and explainable AI (XAI) model for spatial drought prediction.

The Science of the total environment Aug 21, 2021
Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards, drought prediction is challenging as it lacks a universal definition and is getting adverse with climate change impacting drought events both spatial...
Droughts Algorithms Meteorology Artificial Intelligence Climate Change
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