This study compares important meteorological characteristics across two time periods, 1951–1986 and 1986–2020, using IMD 0.25° × 0.25° gridded datasets of Tmax, Tmin, and rainfall to examine long-term climate variability across 27 districts (as of 2020) and three agro-climatic zo...
Open access
Research Article10.9734/jsrr/2025/v31i123794
This study utilized Synthetic Aperture Radar (SAR) data from Sentinel-1 to estimate the kharif paddy acreage in the Raipur district. The unique capability of microwaves to penetrate clouds enabled the mapping of paddy fields even during the monsoon season. Supervised classificati...
Open access
Research Article10.9734/ijpss/2023/v35i214087
The study was conducted in four blocks viz. Abhanpur, Arang, Raipur, and Tilda of Raipur district, using IMD gridded rainfall and maximum (Tx) and minimum (Tn) temperature data from 1951 to 2019. Trend analysis was performed with three non-parametric methods (Mann Kendall, Spearm...
Open access
Research Article10.9734/ijecc/2023/v13i102631
The seasonal changes in temperature extremes—cool and warm days (TX10P and TX90P) and nights (TN10P and TN90P)—across Chhattisgarh's agro-climatic zones are evaluated in this research before and after 1986, a worldwide standard for rapid climate change. The study, which makes use...
Open access
Research Article10.9734/jgeesi/2025/v29i12989
Climate change is a critical factor influencing global agriculture, particularly wheat production, which is highly sensitive to temperature and precipitation variations. This study examines the projected impact of future climate scenarios (2030-31, 2050-51 and 2070-71) on wheat y...
Open access
Research Article10.9734/ijecc/2025/v15i34775
Accurate representation of precipitation patterns is crucial for understanding and adapting to these impacts. General Circulation Models (GCMs) are essential for projecting future climate scenarios but often exhibit biases in simulating precipitation, undermining the reliability...
Open access
Research Article10.9734/ijecc/2024/v14i44149