A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes: an empirical analysis using Landsat TM and ETM+ data

Ouma, Yashon O.; Tateishi, Ryosuke

doi:10.1080/01431160500309934

Cited by 259 publications

(111 citation statements)

References 7 publications

Supporting

Mentioning

107

Contrasting

Unclassified

Order By: Relevance

“…Despite the considerable number of studies addressing water delineation, there have been divergent opinions concerning how thresholds should be defined [45,49,50]. In this paper, following the manual adjustment procedure by Xu [48] and recommendation by Ji et al [32], different MNDWI threshold values were tested, and finally the threshold value was set as 0 for Lake Qinghai, which is consistent with the threshold that was used in the creation of water mask for Lake Qinghai.…”

Section: Surface Area Extractionmentioning

confidence: 89%

Monitoring the Fluctuation of Lake Qinghai Using Multi-Source Remote Sensing Data

Zhu

Jia

2014

Remote Sensing

View full text Add to dashboard Cite

Abstract:The knowledge of water storage variations in ungauged lakes is of fundamental importance to understanding the water balance on the Tibetan Plateau. In this paper, a simple framework was presented to monitor the fluctuation of inland water bodies by the combination of satellite altimetry measurements and optical satellite imagery without any in situ measurements. The fluctuation of water level, surface area, and water storage variations in Lake Qinghai were estimated to demonstrate this framework. Water levels retrieved from ICESat (Ice, Cloud, and and Elevation Satellite) elevation data and lake surface area derived from MODIS (Moderate Resolution Imaging Spectroradiometer) product were fitted by linear regression during the period from 2003 to 2009 when the overpass time for both of them was coincident. Based on this relationship, the time series of water levels from 1999 to 2002 were extended by using the water surface area extracted from Landsat TM/ETM+ images as inputs, and finally the variations of water volume in Lake Qinghai were estimated from 1999 to 2009. The overall errors of water levels retrieved by the simple method in our work were comparable with other globally available test results with r = 0.93, MAE = 0.07 m, and RMSE = 0.09 m. The annual average rate of increase was 0.11 m/yr, which was very close to the results obtained from in situ measurements. High accuracy was obtained in the estimation of surface areas. The MAE and RMSE were only 6 km 2 , and 8 km 2 , respectively, which were even lower than the MAE and RMAE of surface area extracted from Landsat TM images. The estimated water volume variations effectively captured the trend of annual OPEN ACCESSRemote Sens. 2014, 6 10458 variation of Lake Qinghai. Good agreement was achieved between the estimated and measured water volume variations with MAE = 0.4 billion m 3 , and RMSE = 0.5 billion m 3 , which only account for 0.7% of the total water volume of Lake Qinghai. This study demonstrates that it is feasible to monitor comprehensively the fluctuation of large water bodies based entirely on remote sensing data.

show abstract

Section: Surface Area Extractionmentioning

confidence: 89%

Monitoring the Fluctuation of Lake Qinghai Using Multi-Source Remote Sensing Data

Zhu

Jia

2014

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…The SAVI index minimizes influence of the soil on reflectance, helping to dissociate spectral response of the soil from vegetation in discontinuous covers (Huete 1988;Baret and Guyot 1991;Serra and Pons 2013); in this study it was computed from bands 3 and 4, using a value of 0.5 for the L constant. Finally, the NDWI index, based on the NDWI₃ proposed by Ouma and Tateishi (2006) as (B5−B4)/(B5 + B4), was calculated. This index enhances the identification of water bodies such as lakes and reservoirs and results in a better delineation of the waterfront.…”

Section: Vegetation and Moisture Indicesmentioning

confidence: 99%

Developing spatially and thematically detailed backdated maps for land cover studies

Vidal-Macua

Zabala

Ninyerola

et al. 2016

International Journal of Digital Earth

View full text Add to dashboard Cite

Global or regional land cover change on a decadal time scale can be studied at a high level of detail using the availability of remote sensing data such as that provided by Landsat. However, there are three main technical challenges in this goal. First, the generation of land cover maps without reference data is problematic (backdating). Second, it is important to maintain high accuracies in land cover change map products, requiring a reasonably rich legend within each map. Third, a high level of automation is necessary to aid the management of large volumes of data. This paper describes a robust methodology for processing time series of satellite data over large spatial areas. The methodology includes a retrospective analysis used for the generation of training and test data for historical periods lacking reference information. This methodology was developed in the context of research on global change in the Iberian Peninsula. In this study we selected two scenes covering geographic regions that are representative of the Iberian Peninsula. For each scene, we present the results of two classifications (1985-1989 and 2000-2004 quinquennia), each with a legend of 13 categories. An overall accuracy of over 92% was obtained for all 4 maps. ARTICLE HISTORY

show abstract

“…Envisat advanced synthetic aperture radar (ASAR) was used to obtain the surface areas of reservoirs (Liebe et al, 2009). At present, there are numerous approaches of extracting surface areas from remote sensing data, such as the single band threshold method (Ding, 2012;Du and Zhou, 1988), the difference of spectrum relationship method (Cao, 2006), the Normalized Difference Vegetation Index (NDVI) method (Wu et al, 2005;Li and Wu, 2008) and the Normalized Difference Water Index (NDWI) method (McFeeters, 1996;Gao, 1995;Ouma and Tateishi, 2006). Water bodies have significant differences with beaches and shadows of mountains in reflectivity of bands TM2 and TM3, and lesser differences in bands TM4 and TM5, which make it easier to extract surface area with the improved spectrum relationship method.…”

Section: Surface Areamentioning

confidence: 99%

Integrated hydrological modelling of small- and medium-sized water storages with application to the upper Fengman Reservoir Basin of China

Zhang

Peng

Chu

et al. 2012

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Hydrological simulation in regions with a large number of water storages is difficult due to inaccurate water storage data. To address this issue, this paper presents an improved version of SWAT2005 (Soil and Water Assessment Tool, version 2005) using Landsat, a satellite-based dataset, an empirical storage classification method and some empirical relationships to estimate water storage and release from the various sizes of flow detention and regulation facilities. The SWAT2005 is enhanced by three features: (1) a realistic representation of the relationships between the surface area and volume of each type of water storages, ranging from small-sized flow detention ponds to medium-and large-sized reservoirs with the various flow regulation functions; (2) water balance and transport through a network combining both sequential and parallel streams and storage links; and (3) calibrations for both physical and human interference parameters. Through a real-world watershed case study, it is found that the improved SWAT2005 more accurately models small-and medium-sized storages than the original model in reproducing streamflows in the watershed. The improved SWAT2005 can be an effective tool to assess the impact of water storage on hydrologic processes, which has not been well addressed in the current modelling exercises.

show abstract

A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes: an empirical analysis using Landsat TM and ETM+ data

Cited by 259 publications

References 7 publications

Monitoring the Fluctuation of Lake Qinghai Using Multi-Source Remote Sensing Data

Monitoring the Fluctuation of Lake Qinghai Using Multi-Source Remote Sensing Data

Developing spatially and thematically detailed backdated maps for land cover studies

Integrated hydrological modelling of small- and medium-sized water storages with application to the upper Fengman Reservoir Basin of China

Contact Info

Product

Resources

About