Land use information extraction and spatio-temporal variation analysis of Poyang Lake Basin based on remote sensing

2013 ◽  
Author(s):  
Hai Liu ◽  
Huiqiong Xia ◽  
Bo Zhou
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information Extraction ◽  
Temporal Variation ◽  
Poyang Lake ◽  
Lake Basin ◽  
Variation Analysis ◽  
Poyang Lake Basin ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Variation Analysis of Precipitation during 1960-2008 in the Poyang Lake Basin, China

2016 ◽  
Vol 06 (02) ◽  
pp. 115-127 ◽  
Author(s):  
Lifeng Yuan ◽  
Guishan Yang ◽  
Hengpeng Li ◽  
Zengxin Zhang
Keyword(s):  
Temporal Variation ◽  
Poyang Lake ◽  
Lake Basin ◽  
Variation Analysis ◽  
Poyang Lake Basin ◽  
Spatio Temporal

scholarly journals Quantifying Influences of Natural and Anthropogenic Factors on Vegetation Changes Based on Geodetector: A Case Study in the Poyang Lake Basin, China

2021 ◽  
Vol 13 (24) ◽  
pp. 5081
Author(s):  
Yiming Wang ◽  
Zengxin Zhang ◽  
Xi Chen
Keyword(s):  
Land Use ◽  
Human Activities ◽  
Vegetation Change ◽  
Poyang Lake ◽  
Anthropogenic Factors ◽  
Lake Basin ◽  
Vegetation Changes ◽  
Vegetation Growth ◽  
Poyang Lake Basin ◽  
Natural And Anthropogenic Factors

Understanding the driving mechanism of vegetation changes is essential for vegetation restoration and management. Vegetation coverage in the Poyang Lake basin (PYLB) has changed dramatically under the context of climate change and human activities in recent decades. It remains challenging to quantify the relative contribution of natural and anthropogenic factors to vegetation change due to their complicated interaction effects. In this study, we selected the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth and used trend analysis and the Mann-Kendall test to analyze its spatiotemporal change in the PYLB from 2000 to 2020. Then we applied the Geodetector model, a novel spatial analysis method, to quantify the effects of natural and anthropogenic factors on vegetation change. The results showed that most regions of the basin were experiencing vegetation restoration and the overall average NDVI value in the basin increased from 0.756 to 0.809 with an upward yearly trend of +0.0026. Land-use type exerted the greatest influence on vegetation change, followed by slope, elevation, and soil types. Except for conversions to construction land, most types of land use conversion induced an increase in NDVI in the basin. The influence of one factor on vegetation NDVI was always enhanced when interacting with another. The interaction effect of land use types and population density was the largest, which could explain 45.6% of the vegetation change, indicating that human activities dominated vegetation change in the PYLB. Moreover, we determined the ranges or types of factors most suitable for vegetation growth, which can be helpful for decision-makers to optimize the implementation of ecological projects in the PYLB in the future. The results of this study could improve the understanding of the driving mechanisms of vegetation change and provide a valuable reference for ecological restoration in subtropical humid regions.

scholarly journals Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data

2018 ◽  
Vol 10 (5) ◽  
pp. 713 ◽  
Author(s):  
Hao Zhou ◽  
Zhicai Luo ◽  
Natthachet Tangdamrongsub ◽  
Zebing Zhou ◽  
Lijie He ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Poyang Lake ◽  
Lake Basin ◽  
Hydrological Models ◽  
Flood Events ◽  
In Situ Data ◽  
Poyang Lake Basin
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