Visualization of Lake Mead Surface Area Changes from 1972 to 2009

Forsythe, K. Wayne; Schatz, Barbara; Swales, Stephen; Ferrato, Lisa-Jen; Atkinson, David M.

doi:10.3390/ijgi1020108

Cited by 15 publications

(9 citation statements)

References 18 publications

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“…Based on the results of the accuracy assessment, error matrices and accuracy statistics were generated for each image classification according to established accuracy assessment procedures [53,54]. This technique is a reliable method for accuracy assessment when ground truth data are not available [35,55] …”

Section: Methodsmentioning

confidence: 99%

Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada

Forsythe

McCartney

2014

IJGI

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Abstract:The Nagagamisis Central Plateau (located in Northern Ontario, Canada) is an area of distinct natural and cultural significance. The importance of this land was officially recognized in 1957 through the establishment of the Nagagamisis Provincial Park Reserve. The park has experienced significant expansion since its inception and is currently under development as one of Ontario Parks 'Signature Sites'. Since the 1980s, timber harvest activity has led to widespread forest disturbance just outside of the park boundaries. This research is focused on the detection of stand level forest disturbances associated with timber harvest occurring near Nagagamisis Provincial Park. The image time-series data selected for this project were Landsat TM and ETM+; spanning a twenty-five year period from 1984 to 2009. The Tasselled Cap Transformation and Normalized Difference Moisture Index were derived for use in unsupervised image classification to determine the land cover for each image in the time-series. Image band differencing and raster arithmetic were performed to create maps illustrating the size and spatial distribution of stand level forest disturbances between image dates. A total area of 1649 km 2 or 26.1% of the study area experienced stand level disturbance during the analysis period.

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Section: Methodsmentioning

confidence: 99%

Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada

Forsythe

McCartney

2014

IJGI

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“…The area, water level and water volume of lakes are important indexes in the study and management of hydrology and water resources. Many scholars start with the lake area, use satellite remote sensing images and lake hydrological station observation data to study the temporal and spatial characteristics and laws of lake evolution, analyzing the response of the lake to human activities and climate change, and exploring the main factors affecting lake variation [2][3][4][5][6][7][8]. The fluctuation of lake water level can affect the ecological process and pattern of the lake in many ways.…”

Section: Introductionmentioning

confidence: 99%

Water Volume Variations Estimation and Analysis Using Multisource Satellite Data: A Case Study of Lake Victoria

Lin

Zhang

et al. 2020

Remote Sensing

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The spatiotemporal changes of lake water resources objectively reflect not only the process of the water resources balance, but also the ecological environment changes in the lake area. In recent decades, climate changes and human activities have caused great impacts on the spatial distribution of the earth’s water resources and the spatiotemporal process of the surface water cycle, which has caused a series of ecological crises and environmental problems, such as the drying-up of inland lakes, the disappearance of the oasis, water shortage or flooding and water pollution. Therefore, monitoring and fully understanding the dynamic changes of lakes is of great scientific significance for grasping regional water balance, water resources management, and sustainable development of the ecological environment. In this study, we focus on using multi-source satellite data on the estimation of water volume and multi-timescale variations analysis for large scale lakes. This study combines the problems in the practical application of “African Water Action”, taking the largest lake in Africa, Lake Victoria, as the study area, and utilizes long-term serial multi-source satellite data of the past 15 years (2003–2017), including Moderate-resolution Imaging Spectroradiometer (MODIS), Jason-1/-2/-3 and Gravity Recovery and Climate Experiment (GRACE) to perform the comprehensive analysis on the water volume change estimation. Firstly, the satellite altimetry data of Jason-1/-2/-3 and MODIS imagery was used to calculate series of water level, and to extract series of water surface area, respectively. On this basis, a more accurate regression model between the area and water level variation (ΔH) was constructed. Then, the model between water volume variation (ΔV) and ΔH, derived from area-ΔH model, was applied to calculate the relative water volume of Lake Victoria. Meanwhile, terrestrial water storage (TWS) changes between 2003 and 2016, derived from GRACE data, were also used for a comparative verification of the ΔV results. The results show the long-term series change trends of ΔV and the TWS are the same. Finally, the multi-timescale analysis of water volume changes was carried out on different time scales, such as the inter-annual, inter-monthly, and variation period.

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“…Sedimentation is a global issue that comes from natural and man-made erosions that influence the strategies of water managers to resolve economic and environmental problems [7][8][9][10][11][12][13][14]. This problem causes a reduction of the effective reservoir storage capacity, decreases the effective lifespan of dams and lessens various reservoir functionalities [8].…”

Section: Introductionmentioning

confidence: 99%

Estimating the Wind-Generated Wave Erosivity Potential: The Case of the Itumbiara Dam Reservoir

Vilhena

Mascarenha

Sales

et al. 2019

Water

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The impact of wind waves is a process that affect reservoir shorelines, causing economic and environmental damage. The objective of this paper is to analyze the erosive potential of waves generated by winds at the shoreline of a large tropical reservoir of the Itumbiara Dam that stands along the Paranaiba River in the Midwest of Brazil. A GIS-based analysis was carried out using a wave fetch model tool (WAVE) developed by the US Geological Survey with wind data from a Doppler sensor (SODAR—SOnic Detection and Ranging) and an ultrasonic anemometer. A wave erosivity potential map was generated combining 16 fetch rasters from every 22.5° wind directions and was weighted according to its corresponding wind frequency over the rainy season. This result showed the critical areas which may have a high wave potential to increase sediment detachment along the reservoir shoreline. Finally, some of these high erosivity potential areas coincide with large erosions sites, which are detected by satellite imagery. This technique was capable of identifying the wave potential which can cause shoreline erosions and also contribute to reservoir management and support future works, including field experimental programs and shoreline erosion treatments.

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Visualization of Lake Mead Surface Area Changes from 1972 to 2009

Cited by 15 publications

References 18 publications

Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada

Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada

Water Volume Variations Estimation and Analysis Using Multisource Satellite Data: A Case Study of Lake Victoria

Estimating the Wind-Generated Wave Erosivity Potential: The Case of the Itumbiara Dam Reservoir

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