Research on the Development of Urbanization in Yangtze River Economic Belt Based on Nighttime Light Remote Sensing Data

2020 ◽  
Author(s):  
Wei Zhang ◽  
Jianwei Qi ◽  
Guanghui Wang ◽  
Tao Zhang ◽  
Haoran Zhai
Keyword(s):  
Remote Sensing ◽  
Yangtze River ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Nighttime Light

scholarly journals Characterizing Light Pollution Trends across Protected Areas in China Using Nighttime Light Remote Sensing Data

2018 ◽  
Vol 7 (7) ◽  
pp. 243 ◽  
Author(s):  
Wei Jiang ◽  
Guojin He ◽  
Wanchun Leng ◽  
Tengfei Long ◽  
Guizhou Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Protected Areas ◽  
Remote Sensing Data ◽  
Light Pollution ◽  
Sensing Data ◽  
Nighttime Light

Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data

2017 ◽  
Vol 70 ◽  
pp. 34-42 ◽  
Author(s):  
Qiming Zheng ◽  
Jingsong Deng ◽  
Ruowei Jiang ◽  
Ke Wang ◽  
Xingyu Xue ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Northeast China ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Nighttime Light

Evapotranspiration variations in the Yangtze River Basin from multi-satellite remote sensing data

2018 ◽  
Vol 11 (2) ◽  
pp. 451-467
Author(s):  
Xiaojuan Tian ◽  
Shuanggen Jin
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Remote Sensing Data ◽  
Optical Remote Sensing ◽  
The Yangtze River ◽  
Sensing Data ◽  
The Yangtze River Basin ◽  
Precipitation And Temperature

Abstract Evapotranspiration (ET) variations in the Yangtze River Basin (YRB) are influenced by environmental and climate changes related to planting of crops, forest vegetation, water use and other human activities. However, it is difficult to measure ET variations and analyse influencing factors in the YRB due to lack of in-situ measurements. In the present study, the ET variations were estimated and investigated in the whole, the upper, middle and lower reaches of the YRB using the Gravity Recovery and Climate Experiment (GRACE), optical remote sensing data and hydrological models based on a water balance method, which was validated by MODerate Resolution Imaging Spectroradiometer (MODIS) observations and models. Furthermore, GRACE-ET verified the drought events in 2006 and 2011. The long-term variation rate of GRACE-ET is 0.79 mm/yr. The spatial distribution of seasonal ET variations indicates that ET is highest in summer and lowest in autumn-winter. It also shows that the completion of the Three Gorges Project has certainly increased ET. Precipitation and temperature have the largest impact on the ET variations; radiation and soil moisture have moderate effects. ET variations in the middle and lower reaches are greatly affected by precipitation, and temperature plays a more important role in the upper YRB reaches.

scholarly journals CHANGE PATTERN EXPLORATION WITH HIERARCHICAL BI-CLUSTERING ON SENTINEL-1 SAR AND NIGHTTIME LIGHT DATA

2020 ◽  
Vol IV-3/W2-2020 ◽  
pp. 13-18
Author(s):  
M. Che ◽  
P. Gamba
Keyword(s):  
Remote Sensing ◽  
Hierarchical Clustering ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Change Pattern ◽  
Novel Approach ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Spatio Temporal ◽  
Multispectral Sensors

Abstract. In the last few decades, urbanization activities have promoted the emergence of megacities, megalopolis, urban clusters or large urban aggregations, but only a few studies have analyzed them using remote sensing data in both the spatial and the temporal domains. In this paper, combining SAR and multispectral sensors with different resolutions, a novel approach, improved by means of a hierarchical clustering technique, is proposed. Urban changes are mapped in the form of multiple spatio-temporal patterns, visualized by change vectors exploiting the combination of SAR and nighttime light data.

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