2016
DOI: 10.1080/01431161.2016.1251630
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Spatiotemporal analysis of water area annual variations using a Landsat time series: a case study of nine plateau lakes in Yunnan province, China

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Cited by 25 publications
(14 citation statements)
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“…Lake Dianchi (24840 0 -25802 0 N, 102837 0 -102848 0 E, hereafter Dianchi) is a permanent freshwater lake located in Kunming City, Yunnan Province, Southwest China. The water area is 281 km 2 , and the manually controlled water level has been stable at 1887.5 masl over the past decade (Wu et al 2016;Kunming Dianchi Administration Bureau 2018). The average water depth is~4.3 m (Jin et al 2006).…”
Section: Study Areamentioning
confidence: 99%
“…Lake Dianchi (24840 0 -25802 0 N, 102837 0 -102848 0 E, hereafter Dianchi) is a permanent freshwater lake located in Kunming City, Yunnan Province, Southwest China. The water area is 281 km 2 , and the manually controlled water level has been stable at 1887.5 masl over the past decade (Wu et al 2016;Kunming Dianchi Administration Bureau 2018). The average water depth is~4.3 m (Jin et al 2006).…”
Section: Study Areamentioning
confidence: 99%
“…In addition, we need to extract information from the entire lake to reveal the long-term response of cyanobacteria dynamics to urban development and climate change on a broader spatial scale. Satellite remote sensing technology can provide multi-temporal, multi-scale, and multi-spectral observation information of cyanobacterial blooms in the same area, which can quickly, effectively, and dynamically re ect its spatiotemporal characteristics through the analysis and processing of remote sensing image data (Vincent et al, 2004;Wu et al, 2016). This tool can compensate for the limitations of traditional monitoring methods and has become an essential technical means for dynamic monitoring of the water environment, providing valid spatiotemporal resolution for monitoring variation in inland, coastal waters, and various ecosystem (Hu et al, 2010;Mu et al, 2020;Palmer et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…From a temporal perspective, lake research is usually based on long time series, with an overall time span of more than 20 years [3,4] . With the improvement of remote sensing information technology, more refined time-scale studies of lake area changes are gradually emerging [5,6] . At the spatial scale, lake studies are usually conducted from macro, meso, and micro perspectives.…”
Section: Introductionmentioning
confidence: 99%