scholarly journals Remote sensing monitoring and temporal-spatial analysis of surface water body area changes of lakes on the Yunnan-Guizhou Plateau over the past 30 years

2018 ◽  
Vol 30 (4) ◽  
pp. 1083-1096 ◽  
Author(s):  
XIAO Qian ◽  
◽  
YANG Kun ◽  
HONG Liang
Keyword(s):  
Remote Sensing ◽  
Spatial Analysis ◽  
Surface Water ◽  
Water Body ◽  
Body Area ◽  
Remote Sensing Monitoring ◽  
The Past ◽  
Surface Water Body ◽  
Guizhou Plateau

scholarly journals Monitoring the spatiotemporal dynamics of surface water body of the Xiaolangdi Reservoir using Landsat-5/7/8 imagery and Google Earth Engine

2021 ◽  
Vol 13 (1) ◽  
pp. 1290-1302
Author(s):  
Ruimeng Wang ◽  
Li Pan ◽  
Wenhui Niu ◽  
Rumeng Li ◽  
Xiaoyang Zhao ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Body ◽  
Vegetation Index ◽  
Yellow River ◽  
Google Earth ◽  
Body Type ◽  
Body Area ◽  
Surface Water Body ◽  
Google Earth Engine ◽  
Xiaolangdi Reservoir

Abstract Xiaolangdi Reservoir is a key control project to control the water and sediment in the lower Yellow River, and a timely and accurate grasp of the reservoir’s water storage status is essential for the function of the reservoir. This study used all available Landsat images (789 scenes) and adopted the modified normalized difference water index, enhanced vegetation index, and normalized difference vegetation index to map the surface water from 1999 to 2019 in Google Earth Engine (GEE) cloud platform. The spatiotemporal characteristics of the surface water body area changes in the Xiaolangdi Reservoir in the past 21 years are analyzed from the water body type division, area change, type conversion, and the driving force of the Xiaolangdi water body area changes was analyzed. The results showed that (1) the overall accuracy of the water body extraction method was 98.86%, and the kappa coefficient was 0.96; (2) the maximum water body area of the Xiaolangdi Reservoir varies greatly between inter-annual and intra-annual, and seasonal water body and permanent water body have uneven spatiotemporal distribution; (3) in the conversion of water body types, the increased seasonal water body area of the Xiaolangdi Reservoir from 1999 to 2019 was mainly formed by the conversion of permanent water body, and the reduced permanent water body area was mainly caused by non-water conversion; and (4) the change of the water body area of the Xiaolangdi Reservoir has a weak negative correlation with natural factors such as precipitation and temperature, and population. It is positively correlated with seven indicators such as runoff and regional gross domestic product (GDP). The findings of the research will provide necessary data support for the management and planning of soil and water resources in the Xiaolangdi Reservoir.

scholarly journals Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016

2018 ◽  
Vol 115 (15) ◽  
pp. 3810-3815 ◽  
Author(s):  
Zhenhua Zou ◽  
Xiangming Xiao ◽  
Jinwei Dong ◽  
Yuanwei Qin ◽  
Russell B. Doughty ◽  
...  
Keyword(s):  
United States ◽  
Water Stress ◽  
Surface Water ◽  
Water Resource ◽  
Great Plains ◽  
Water Body ◽  
Resource Planning ◽  
Open Surface ◽  
Body Area ◽  
Surface Water Body

The contiguous United States (CONUS), especially the West, faces challenges of increasing water stress and uncertain impacts of climate change. The historical information of surface water body distribution, variation, and multidecadal trends documented in remote-sensing images can aid in water-resource planning and management, yet is not well explored. Here, we detected open-surface water bodies in all Landsat 5, 7, and 8 images (∼370,000 images, >200 TB) of the CONUS and generated 30-meter annual water body frequency maps for 1984–2016. We analyzed the interannual variations and trends of year-long water body area, examined the impacts of climatic and anthropogenic drivers on water body area dynamics, and explored the relationships between water body area and land water storage (LWS). Generally, the western half of the United States is prone to water stress, with small water body area and large interannual variability. During 1984–2016, water-poor regions of the Southwest and Northwest had decreasing trends in water body area, while water-rich regions of the Southeast and far north Great Plains had increasing trends. These divergent trends, mainly driven by climate, enlarged water-resource gaps and are likely to continue according to climate projections. Water body area change is a good indicator of LWS dynamics in 58% of the CONUS. Following the 2012 prolonged drought, LWS in California and the southern Great Plains had a larger decrease than surface water body area, likely caused by massive groundwater withdrawals. Our findings provide valuable information for surface water-resource planning and management across the CONUS.

Continued decrease of open surface water body area in Oklahoma during 1984–2015

2017 ◽  
Vol 595 ◽  
pp. 451-460 ◽  
Author(s):  
Zhenhua Zou ◽  
Jinwei Dong ◽  
Michael A. Menarguez ◽  
Xiangming Xiao ◽  
Yuanwei Qin ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Body ◽  
Open Surface ◽  
Body Area ◽  
Surface Water Body

scholarly journals Variations Size Investigation in Vegetation and Surface Water Body for Central Part of Iraq using Satellite Imagery Bands

2020 ◽  
Vol 928 ◽  
pp. 022064
Author(s):  
Malik R. Abbas ◽  
Mahir Mahmod Hason ◽  
Baharin Bin Ahmad ◽  
Abd Wahid Bin Rasib ◽  
Talib R. Abbas
Keyword(s):  
Surface Water ◽  
Satellite Imagery ◽  
Water Body ◽  
Surface Water Body

Extraction of Coal Under a Surface Water Body – a Strata Control Investigation

2005 ◽  
Vol 38 (5) ◽  
pp. 399-410 ◽  
Author(s):  
A. Gandhe ◽  
V. Venkateswarlu ◽  
R. N. Gupta
Keyword(s):  
Surface Water ◽  
Water Body ◽  
Strata Control ◽  
Surface Water Body

Applications of mathematical morphology in surface water body studies

1995 ◽  
Vol 16 (8) ◽  
pp. 1495-1502 ◽  
Author(s):  
B. S. DAYA SAGAR ◽  
G. GANDHI ◽  
B. S. PRAKASA RAG
Keyword(s):  
Surface Water ◽  
Mathematical Morphology ◽  
Water Body ◽  
Body Studies ◽  
Surface Water Body
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