Monitoring water depth, surface area and volume changes in Lake Victoria: integrating the bathymetry map and remote sensing data during 1993–2016

Sichangi, Arthur Wafula; Makokha, Godfrey Ouma

doi:10.1007/s40808-017-0311-2

Cited by 20 publications

(12 citation statements)

References 26 publications

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“…The study area has a catchment area of 32 km 2 and a depth of 11.2 m at its deepest point, with a mean depth of 5.2 m. The rainfall varies from 1383 mm to 2090 mm per year, with a mean rainfall value of 1851.9 mm. The average temperature is as high as 32.1 • C and as low as 23.5 [9], and Sichangi and Makokha (2017) [10] used remotely sensed data to delineate lake water. Their results showed that their areas (the lakes) changed over a period of time.…”

Section: Description Of the Study Areamentioning

confidence: 99%

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Spatial-Temporal Mapping and Delineating of Agulu Lake Using Remote Sensing and Geographic Information Science for Sustainable Development

Enoh

Okereke

Narinua³

2023

Ecws-7 2023

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Section: Description Of the Study Areamentioning

confidence: 99%

“…The UN's SDG 6 has six goals with indicators that focus on access to hygienic and clean water [7]. Several studies have been conducted on [9], and Sichangi and Makokha (2017) [10] used remotely sensed data to delineate lake water. Their results showed that their areas (the lakes) changed over a period of time.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Mapping and Delineating of Agulu Lake Using Remote Sensing and Geographic Information Science for Sustainable Development

Enoh

Okereke

Narinua³

2023

Ecws-7 2023

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“…Over the years, experts and scholars have proposed improvements to the extraction of water, such as multi-band inter spectral relationship method, water index improvement. Among them, the research on water index method and multi band inter spectral relationship method is more in quantity and maturity [8].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Threshold Selected Method from Remote Sensing Image based on Water Index

Yanan

Dou²,

Wang

2022

J. Phys.: Conf. Ser.

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Water is one of the most common and important objects on the earth, and its extraction is of great significance to many related researches in remote sensing domain. Water index method is most commonly used, and the accuracy of image interpretation is an unavoidable problem. However, traditional interpretation methods are subjective, and the efficiency of interpretation is relatively low. An adaptive threshold selected method based on modified normalized difference water index (MNDWI) is proposed here to extract water completely and accurately from remote sensing image. First, the study compares the effect of three commonly used water index methods (NDWI, MNDWI and MBWI) to extract water in Baiyangdian watershed, the result shows that MNDWI is better in separating water from background; then, a probability index method integrated water Z-score (IWZ) is used to segment MNDWI results. It shows that the optimized result with IWZ is more accurate than the traditional result with 0 as the dividing point, the former is 5% higher accuracy than the latter.

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“…One way to address this data shortage is to use land surface models or rely on satellite remote sensing products (e.g., [ 13 , 14 , 15 ]). These alternatives offer high-resolution data over an extended period in many parts of the world including the Lake Victoria region (e.g., [ 16 , 17 , 18 ]).…”

Section: Introductionmentioning

confidence: 99%

The 2019–2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products

Khaki

Awange

2021

Sensors

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During the period 2019–2020, Lake Victoria water levels rose at an alarming rate that has caused various problems in the region. The influence of this phenomena on surface and subsurface water resources has not yet been investigated, largely due to lack of enough in situ measurements compounded by the spatial coverage of the lake’s basin, incomplete/inconsistent hydrometeorological data, and unavailable governmental data. Within the framework of joint data assimilation into a land surface model from multi-mission satellite remote sensing, this study employs the state-of-art Gravity Recovery and Climate Experiment follow-on (GRACE-FO) time-variable terrestrial water storage (TWS), newly released ERA-5 reanalysis, and satellite radar altimetry products to understand the cause of the rise of Lake Victoria on the one hand, and the associated impacts of the rise on the total water storage compartments (surface and groundwater) triggered by the extreme climatic event on the other hand. In addition, the study investigates the impacts of large-scale ocean–atmosphere indices on the water storage changes. The results indicate a considerable increase in water storage over the past two years, with multiple subsequent positive trends mainly induced by the Indian Ocean Dipole (IOD). Significant storage increase is also quantified in various water components such as surface water and water discharge, where the results show the lake’s water level rose by ∼1.4 m, leading to approximately 1750 gigatonne volume increase. Multiple positive trends are observed in the past two years in the lake’s water storage increase with two major events in April–May 2019 and December 2019–January 2020, with the rainfall occurring during the short rainy season of September to November (SON) having had a dominant effect on the lake’s rise.

show abstract

Monitoring water depth, surface area and volume changes in Lake Victoria: integrating the bathymetry map and remote sensing data during 1993–2016

Cited by 20 publications

References 26 publications

Spatial-Temporal Mapping and Delineating of Agulu Lake Using Remote Sensing and Geographic Information Science for Sustainable Development

Spatial-Temporal Mapping and Delineating of Agulu Lake Using Remote Sensing and Geographic Information Science for Sustainable Development

An Adaptive Threshold Selected Method from Remote Sensing Image based on Water Index

The 2019–2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products

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