Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR …

A Elbeltagi, CB Pande, M Kumar, AD Tolche… - … Science and Pollution …, 2023 - Springer
Agriculture, meteorological, and hydrological drought is a natural hazard which affects
ecosystems in the central India of Maharashtra state. Due to limited historical data for …

Spatial and temporal analysis of drought variability at several time scales in Syria during 1961–2012

S Mathbout, JA Lopez-Bustins, J Martin-Vide… - Atmospheric …, 2018 - Elsevier
This paper analyses the observed spatiotemporal characteristics of drought phenomenon in
Syria using the Standardised Precipitation Index (SPI) and the Standardised Precipitation …

Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction

A Malik, Y Tikhamarine, D Souag-Gamane… - Meteorology and …, 2021 - Springer
Drought is a complex natural phenomenon, so, precise prediction of drought is an effective
mitigation tool for measuring the negative consequences on agriculture, ecosystems …

[HTML][HTML] Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets

P Sandeep, GPO Reddy, R Jegankumar… - Ecological indicators, 2021 - Elsevier
The reliable and consistent remote sensing-based drought indices along with Geographic
Information System (GIS) play a significant role in the map**, and monitoring of …

Develo** a remote sensing-based combined drought indicator approach for agricultural drought monitoring over Marathwada, India

SS Kulkarni, BD Wardlow, YA Bayissa, T Tadesse… - Remote Sensing, 2020 - mdpi.com
The increasing drought severities and consequent devastating impacts on society over the
Indian semi-arid regions demand better drought monitoring and early warning systems …

Drought identification and trend analysis using long-term CHIRPS satellite precipitation product in Bundelkhand, India

V Pandey, PK Srivastava, SK Singh, GP Petropoulos… - Sustainability, 2021 - mdpi.com
Drought hazard map** and its trend analysis has become indispensable due to the
aggravated impact of drought in the era of climate change. Sparse observational networks …

Crop growth monitoring through Sentinel and Landsat data based NDVI time-series

BM Singh, C Komal, KA Victorovich - Компьютерная оптика, 2020 - cyberleninka.ru
Crop growth monitoring is an important phenomenon for agriculture classification, yield
estimation, agriculture field management, improve productivity, irrigation, fertilizer …

Application of AHP with GIS in drought risk assessment for Puruliya district, India

M Palchaudhuri, S Biswas - Natural Hazards, 2016 - Springer
The analytic hierarchy process (AHP) in combination with geographic information system
(GIS) provides an effective means for disaster monitoring. In the present study, GIS was used …

Assessment of drought variability using SPEI under observed and projected climate scenarios over Uttar Pradesh, India

S Gond, N Gupta, PKS Dikshit, J Patel - Physics and Chemistry of the Earth …, 2023 - Elsevier
Drought is a widely occurring natural extreme that causes more severe negative impacts in
the continuation of changing climate. This study presents the assessment of drought …

Multivariate modeling of projected drought frequency and hazard over India

V Gupta, M Kumar Jain, VP Singh - Journal of Hydrologic …, 2020 - ascelibrary.org
India is one of the most drought-vulnerable countries in the world and faces at least one
drought in one region or another every 3 years. To alleviate drought risk, an efficient policy …