2021
DOI: 10.1007/s10661-021-09005-1
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Drought dynamics of Northwestern Teesta Floodplain of Bangladesh: a remote sensing approach to ascertain the cause and effect

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Cited by 6 publications
(3 citation statements)
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“…The root zone soil moisture (RSM) data used in this study are from the Global Land Data Assimilation System (GLDAS). GLDAS combines satellite and ground meteorological observation data [56][57][58]. And several studies have showed that the simulated soil moisture from GLDAS have good correlation and consistency with ground-based soil moisture [59].…”
Section: Study Area and Datamentioning
confidence: 99%
“…The root zone soil moisture (RSM) data used in this study are from the Global Land Data Assimilation System (GLDAS). GLDAS combines satellite and ground meteorological observation data [56][57][58]. And several studies have showed that the simulated soil moisture from GLDAS have good correlation and consistency with ground-based soil moisture [59].…”
Section: Study Area and Datamentioning
confidence: 99%
“…Due to the declining rate of water bodies, the available lands are used for producing crops that require lower amounts of water, such as wheat and maize. These wheat and maize are gradually taking up more land although the lands used for rice production were in static condition (Mahmud et al 2021). If the current trend of decreasing waterbodies continues as per the prediction, there is a chance of complete conversion of rice production to wheat and maize production.…”
Section: Trend Analysismentioning
confidence: 99%
“…Alexandridis et al, 2020;Prananda et al;Vaiopoulos et al, 2004). Both indices were evaluated for the same period (2000-2021) on the basis of MOD13Q1.006 for each 16-day scale using a process well described in the literature(Mahmud et al, 2021).The changing population estimate used the 'WorldPop Global Project Population Data' dataset (www.worldpop.org) which is very accurate in assessing the total population(Bai et al, 2018). A time band (in milliseconds) was created and a linear regression between 2000 and 2050 was established to estimate the evolution of the population density.…”
mentioning
confidence: 99%