Temporal-Spatial Evolution Analysis of Lake Size-Distribution in the Middle and Lower Yangtze River Basin Using Landsat Imagery Data

Lin, Li; Xia, Hui; Li, Zheng; Zhang, Zhijun

doi:10.3390/rs70810364

Cited by 20 publications

(13 citation statements)

References 38 publications

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“…Therefore, changes in lakes will further affect the natural and social economic structure (Li, Liu, & Wang, 2014). As a special kind of water body, a lake is closely related to the atmosphere, biology, soil and other factors, and it is very sensitive to changes in the climate and environmental system (Ba, Bazhuoma, & Tao, 2011;Li, Xia, Li, & Zhang, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The result from NDWI shows an obvious underestimation of the lake surface area. An overestimation of lake surface area is observed from the MNDWI results (Li, Xia, Li, & Zhang, 2015). A Combined Water Index (CWI) combining short wavelength infrared (SWIR)'s and Normalized Differential Vegetation Index (NDVI)'s ability to represent vegetation information was proposed for water body identification using MODIS data.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Jing

Fei

Wang

2017

European Journal of Remote Sensing

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Lakes are important for ensuring the development of the regional economy and ecological security. Based on MODIS and Landsat TM/OLI remote sensing images captured in 2005-2015 and a Combined Water Index (CWI), this paper extracted information on changes in the temporal and spatial characteristics and driving forces for lake areas in Xinjiang during past 11 years in different seasons (April, July and September). The results showed that over this time period, the area of the lakes exhibited an increasing trend. The largest surface area usually occurred in April, and the lowest value was measured in September. The lake shrinkage area in Xinjiang occurred mainly in Northern Xinjiang and the northeastern region of Southern Xinjiang, whereas the lake expansion area was concentrated in Eastern Xinjiang. Seasonal changes in Manas, Kanas, Barkol, Arkatag, Arik and Ebinur Lakes showed higher trends. Extracted the lake area based on the MODIS and TM/OLI image were analyzed, and both had a good corresponding relationship. The minimum R 2 was 0.548, and maximum RMSE was 44.1km 2 . Therefore, it was feasible to use MODIS to extract lake area. These changes in lake area resulted from both natural factors and human activities, and coupled effects greatly accelerated local environmental changes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Jing

Fei

Wang

2017

European Journal of Remote Sensing

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“…These changes can be a significant indicator of global or regional droughts, floods, glacial melting, environmental pollutions, greenhouse effects, global warming, climate changes, or urban expansions [1][2][3]. However, the continuous changes of water bodies cannot be easily or accurately acquired by ground observation.…”

Section: Introductionmentioning

confidence: 99%

Topology Adaptive Water Boundary Extraction Based on a Modified Balloon Snake: Using GF-1 Satellite Images as an Example

Chen

Liu

2017

Remote Sensing

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Topology adaptive water boundary extraction from satellite images using parametric snakes remains challenging in the domain of image segmentation. This paper proposed a modified balloon snake (MB-Snake) method based on the balloon snake (B-Snake) method, overcoming the B-Snake's drawbacks of inaccurate positioning, topology inflexibility, and non-automatic contour evolution termination. Six satellite images, acquired by the GF-1 wide field of view sensor and with water bodies of different types, inner land numbers, areas, boundary and background complexities, and digital number value contrasts, were used as experimental images, in which the MB-Snake method, and two comparison methods, the B-Snake and the orthogonal topology adaptive snake (OT-Snake) methods, were applied for water boundary extraction. All the extracted results were first qualitatively assessed and further quantitatively evaluated via three indexes, including correctness, completeness, and area overlap measure. Both of the qualitative and quantitative evaluation results consistently demonstrated that the MB-Snake method can efficiently improve the positioning accuracy, detect and dispose of topology collisions, and perform automatic contour evolution termination, successfully meeting its design objectives, and exhibiting great superiority to the existing topology-flexible parametric snakes. The sensitivity to initial contours, the effects of model parameters, and spatial resolutions of satellite images, and image demands of the MB-Snake method was also analyzed.

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“…Second, MNDWI [18], NDWI [19], EVI [30], NDVI [31], and NDMI [32] were calculated, based the TOA reflectance. These spectral indices are common for water extraction [11,33]. Finally, a total of six bands and five spectral indexes were used in the model.…”

Section: Collection Of Feature Variablesmentioning

confidence: 99%

“…Remote-sensing data have been widely used for mapping the lake-water extent over time and space [10][11][12][13][14][15][16][17], with Landsat image data being one of the most common data types for monitoring and analyzing long-term lake-water extent changes, due to their high spatial resolution (30-60 m) and long data record [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Change of Lake Water Extent in Wuhan Urban Agglomeration Based on Landsat Images from 1987 to 2015

et al. 2017

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Abstract:Urban lakes play an important role in urban development and environmental protection for the Wuhan urban agglomeration. Under the impacts of urbanization and climate change, understanding urban lake-water extent dynamics is significant. However, few studies on the lake-water extent changes for the Wuhan urban agglomeration exist. This research employed 1375 seasonally continuous Landsat TM/ETM+/OLI data scenes to evaluate the lake-water extent changes from 1987 to 2015. The random forest model was used to extract water bodies based on eleven feature variables, including six remote-sensing spectral bands and five spectral indices. An accuracy assessment yielded a mean classification accuracy of 93.11%, with a standard deviation of 2.26%. The calculated results revealed the following: (1) The average maximum lake-water area of the Wuhan urban agglomeration was 2262.17 km 2 from 1987 to 2002, and it decreased to 2020.78 km 2 from 2005 to 2015, with a loss of 241.39 km 2 (10.67%). (2) The lake-water areas of loss of Wuhan, Huanggang, Xianning, and Xiaogan cities, were 114.83 km 2 , 44.40 km 2 , 45.39 km 2 , and 31.18 km 2 , respectively, with percentages of loss of 14.30%, 11.83%, 13.16%, and 23.05%, respectively. (3) The lake-water areas in the Wuhan urban agglomeration were 226.29 km 2 , 322.71 km 2 , 460.35 km 2 , 400.79 km 2 , 535.51 km 2 , and 635.42 km 2 under water inundation frequencies of 5%-10%, 10%-20%, 20%-40%, 40%-60%, 60%-80%, and 80%-100%, respectively. The Wuhan urban agglomeration was approved as the pilot area for national comprehensive reform, for promoting resource-saving and environmentally friendly developments. This study could be used as guidance for lake protection and water resource management.

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Temporal-Spatial Evolution Analysis of Lake Size-Distribution in the Middle and Lower Yangtze River Basin Using Landsat Imagery Data

Abstract: Four natural lakes in the middle and lower reaches of the Yangtze River-Dongting Lake, Poyang Lake, Chaohu Lake and Taihu Lake-play a key role in the climate, environment, and ecology of this area.

Cited by 20 publications

References 38 publications

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Topology Adaptive Water Boundary Extraction Based on a Modified Balloon Snake: Using GF-1 Satellite Images as an Example

Spatio-Temporal Change of Lake Water Extent in Wuhan Urban Agglomeration Based on Landsat Images from 1987 to 2015

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