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Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms
The consequences of droughts are far-reaching, impacting the natural environment, water
quality, public health, and accelerating economic losses. Applications of remote sensing …
quality, public health, and accelerating economic losses. Applications of remote sensing …
Assessing spatio-temporal map** and monitoring of climatic variability using SPEI and RF machine learning models
Droughts may inflict significant damage to agricultural and water supplies, resulting in
substantial financial losses as well as the death of people and livestock. This study intends …
substantial financial losses as well as the death of people and livestock. This study intends …
Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia
Abstract Machine learning (ML) algorithms perform better than classical statistical
approaches to explore hidden nonlinear relationships. In this context, the goal of this …
approaches to explore hidden nonlinear relationships. In this context, the goal of this …
Analysis of production and economic losses of cash crops under variable drought: A case study from Punjab province of Pakistan
The current study assesses the impact of drought severity on major cash crops, ie, wheat
and rice, and monetizes crop yield losses at a disaggregated level under variable drought …
and rice, and monetizes crop yield losses at a disaggregated level under variable drought …
Exploring dynamic response of agrometeorological droughts towards winter wheat yield loss risk using machine learning approach at a regional scale in Pakistan
Context Crop yield is a major agriculture sector affected by climate change; especially
agrometeorological droughts experienced by south Asian countries in past decades …
agrometeorological droughts experienced by south Asian countries in past decades …
Assessing the impact of long-term ENSO, SST, and IOD dynamics on extreme hydrological events (EHEs) in the Kelani River Basin (KRB), Sri Lanka
Hydrological extremes are common throughout the world and can be considered a globally
significant phenomenon with severe environmental and social consequences. In recent …
significant phenomenon with severe environmental and social consequences. In recent …
A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan
The study used a hybrid approach to evaluate the performance of 20 global climate models
(GCMs) from CMIP6 in reproducing 20 extreme temperature and precipitation indices over …
(GCMs) from CMIP6 in reproducing 20 extreme temperature and precipitation indices over …
[HTML][HTML] Geospatial assessment of managed aquifer recharge potential sites in Punjab, Pakistan
Groundwater is a precious natural resource that is vital to various aspects of life. Punjab is
experiencing groundwater stress due to urbanization and population growth, leading to …
experiencing groundwater stress due to urbanization and population growth, leading to …
Analysis of future meteorological, hydrological, and agricultural drought characterization under climate change in Kessie watershed, Ethiopia
AE Amognehegn, AB Nigussie, AY Adamu… - Geocarto …, 2023 - Taylor & Francis
The objective of this study is to analyze future drought characteristics in meteorological,
hydrology, and agricultural droughts under the impact of changing climate in the Kessie …
hydrology, and agricultural droughts under the impact of changing climate in the Kessie …
[HTML][HTML] Monitoring climate extremes using standardized evapotranspiration index and future projection of rainfall and temperature in the wettest parts of southwest …
Ethiopia is categorized as one of the most vulnerable countries to climate extremes. A better
understanding of climate extremes at short and long timescales is therefore crucial to …
understanding of climate extremes at short and long timescales is therefore crucial to …