Publications by authors named "Xueliang Cai"
Article Synopsis
- Plastic pollution is a major global issue affecting land and water ecosystems, with limited understanding of its sources and transport mechanisms at the catchment scale.
- This study presents a new model that combines economic activities, climate data, and hydrological factors to effectively simulate plastic yield and transport in the Mulan River Catchment in southeast China from 2010 to 2020.
- Findings show that solid waste is the largest contributor to riverine plastic pollution, with significant insights that can help develop better strategies for reducing plastic waste in the environment.
The overarching goal of this paper was to espouse methods and protocols for water productivity mapping (WPM) using high spatial resolution Landsat remote sensing data. In a world where land and water for agriculture are becoming increasingly scarce, growing "more crop per drop" (increasing water productivity) becomes crucial for food security of future generations. The study used time-series Landsat ETM+ data to produce WPMs of irrigated crops, with emphasis on cotton in the Galaba study area in the Syrdarya river basin of Central Asia.
View Article and Find Full Text PDFThe goal of this paper was to develop and demonstrate practical methods forcomputing sub-pixel areas (SPAs) from coarse-resolution satellite sensor data. Themethods were tested and verified using: (a) global irrigated area map (GIAM) at 10-kmresolution based, primarily, on AVHRR data, and (b) irrigated area map for India at 500-mbased, primarily, on MODIS data. The sub-pixel irrigated areas (SPIAs) from coarse-resolution satellite sensor data were estimated by multiplying the full pixel irrigated areas(FPIAs) with irrigated area fractions (IAFs).
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