Multiple indices based agricultural drought assessment in Tripura, northeast India

Spatiotemporal Variation and Drivers of Drought Based on TVDI in the Lower Reaches of the Jinsha River

“…The soil moisture content at 0–15 cm showed a strong negative correlation ( R 2 = 0.85) with MODIS-based TVDI in Razavi Khorasan province of Iran (Zormand et al, 2017). Similarly, the TVDI in northwestern Bangladesh calculated from Landsat remote sensing imagery had a significant linear correlation ( R 2 = 0.83) with soil moisture content (Sharma et al, 2022). In addition, the TVDI in Yunnan, where the study area of this study is mainly located, was significantly correlated with topsoil moisture content in the 10 cm and 20 cm layers (Yang et al, 2017), and the range of drought occurrence based on TVDI was consistent with the actual scope of the droughts that occurred according to yearbook data (Long et al, 2012), indicating the feasibility of using TVDI to monitor drought in Yunnan.…”

“…Among these indexes, the Temperature Vegetation Drought Index (TVDI) has high accuracy and is easy to implement, so it has been widely applied and verified in drought monitoring studies (Nugraha et al, 2023). TVDI was been used for drought monitoring in China (Huang et al, 2020b; Wang and Yu, 2021), the Unites States (Zhang et al, 2017), Africa (Lawal et al, 2021), Bangladesh (Sharma et al, 2022), Australia (Tao et al, 2021), Iran (Rahimzadeh- Bajgiran et al, 2012) and many other countries. TVDI is calculated based on the empirical parametric relationship between land surface temperature and vegetation index (Stisen et al, 2008; Nugraha et al, 2023).…”

Long‐term (2001–2020) trend analysis of temperature and rainfall and drought characteristics by in situ measurements at a tropical semi‐arid station from southern peninsular India

“…Because of global warming and its effects on regional climate, trend analysis of extreme events such as drought has received more attention in recent decades (Dong et al, 2019;Polong et al, 2019;Danandeh Mehr and Vaheddoost, 2020). The drought characteristics are estimated based on the standardized precipitation index (SPI; McKee et al, 1993) (Smakhtin and Hughes, 2007;Naresh Kumar et al, 2009;Zamani et al, 2017;Kisi et al, 2019;Jeongeun et al, 2020;Satish Kumar et al, 2021;Sharma et al, 2022). The Pettit test is a statistical and nonparametric rank test developed by Pettitt (1979) to assess the presence of sudden changes in the time series of meteorological data (Chakraborty et al, 2017).…”

“…Human-induced climate change has affected many kinds of extreme weather events in many regions across the globe; water-scarce events observed in very high rainfall regions, including one of the wettest place in the world situated in the northeastern region of India (Sharma et al, 2022). Drought is an extensive phenomenon in India, occurring roughly every 3 years in various areas (Mishra and Singh, 2011).…”