Ground and satellite based observation datasets for the Lower Mekong River Basin

Mohammed, Ibrahim Nourein; Bolten, J. D.; Srinivasan, Raghavan; Meechaiya, Chinaporn; Spruce, Joseph P.; Lakshmi, V.

doi:10.1016/j.dib.2018.11.038

Cited by 25 publications

(10 citation statements)

References 5 publications

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“…The LULC maps from the project are being used to help SWAT modelers improve predictions of water flow dynamics that in turn is being used for aiding water management and basin planning in the LMB. Updated LULC maps along with soils, terrain, and precipitation maps from the project are being used to generate needed SWAT modeling products [41][42][43]. The LULC maps from the project also provided more specific maps of rice paddies (single-versus double-cropped or rainfed versus irrigated) that are potentially helpful for aiding other basin planning efforts in the LMB, including flood damage monitoring and assessment applications [44,45].…”

Section: Discussionmentioning

confidence: 99%

Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning

et al. 2018

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This paper discusses research methodology to develop Land Use Land Cover (LULC) maps for the Lower Mekong Basin (LMB) for basin planning, using both MODIS and Landsat satellite data. The 2010 MODIS MOD09 and MYD09 8-day reflectance data was processed into monthly NDVI maps with the Time Series Product Tool software package and then used to classify regionally common forest and agricultural LULC types. Dry season circa 2010 Landsat top of atmosphere reflectance mosaics were classified to map locally common LULC types. Unsupervised ISODATA clustering was used to derive most LULC classifications. MODIS and Landsat classifications were combined with GIS methods to derive final 250-m LULC maps for Sub-basins (SBs) 1–8 of the LMB. The SB 7 LULC map with 14 classes was assessed for accuracy. This assessment compared random locations for sampled types on the SB 7 LULC map to geospatial reference data such as Landsat RGBs, MODIS NDVI phenologic profiles, high resolution satellite data, and Mekong River Commission data (e.g., crop calendars). The SB 7 LULC map showed an overall agreement to reference data of ~81%. By grouping three deciduous forest classes into one, the overall agreement improved to ~87%. The project enabled updated regional LULC maps that included more detailed agriculture LULC types. LULC maps were supplied to project partners to improve use of Soil and Water Assessment Tool for modeling hydrology and water use, plus enhance LMB water and disaster management in a region vulnerable to flooding, droughts, and anthropogenic change as part of basin planning and assessment.

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Section: Discussionmentioning

confidence: 99%

Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning

et al. 2018

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“…A compilation 53 of daily streamflow time series data at nine gauges located at five different countries in the Mekong region (Thailand, Laos People׳s Democratic Republic (PDR), Myanmar, Cambodia, and Vietnam), a processed satellite-based daily precipitation and air temperature (minimum & maximum) data, digital elevation model, refined land cover land use raster data that contains 18 classes that cover agriculture, urban, range and forests land cover land use classes, and tabulated soil data that contains physical and chemical characteristics needed by physically based hydrological models to simulate the cycling of water flux in the Mekong Basin have been used for this work 30 , 40 . We have presented a physically-based hydrologic model (i.e., the Soil and Water Assessment Tool 54 ) for the Lower Mekong River Basin 40 that ingests both ground-based and satellite-based earth observation data.…”

Section: Methodsmentioning

confidence: 99%

Diagnosing challenges and setting priorities for sustainable water resource management under climate change

Mohammed

Bolten

Souter³

et al. 2022

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Managing transboundary river basins requires balancing tradeoffs of sustainable water use and coping with climate uncertainty. We demonstrate an integrated approach to exploring these issues through the lens of a social-ecological system, combining remote and in-situ earth observations, hydrologic and climate models, and social surveys. Specifically, we examine how climate change and dam development could impact the Se Kong, Se San and Sre Pok rivers in the Mekong region. We find that climate change will lead to increased precipitation, necessitating a shift in dam operations, from maintaining low flows to reducing flood hazards. We also find that existing water governance systems in Laos, Vietnam, and Cambodia are ill-prepared to address the problem. We conclude that the solution space for addressing these complex issues will be highly constrained unless major deficiencies in transboundary water governance, strategic planning, financial capacity, information sharing, and law enforcement are remedied in the next decades.

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“…Daily discharge observations from 1980-2014 were collected from the Kratie hydrological station in Cambodia (Table 1), which is provided by the Mekong River Commission (MRC) [3,4]. To ensure consistency with each component in the water balance equation, daily discharge data are aggregated into monthly discharge data.…”

Section: Discharge Datamentioning

confidence: 99%

“…The Lancang-Mekong River basin is the most important transnational water system in Asia, flowing through China, Laos, Myanmar, Thailand, Cambodia, and Vietnam and eventually into the South China Sea. The study of terrestrial water storage (TWS) is thus critical for shipping, hydro-energy, irrigation, and water protection in countries along the river [1][2][3][4][5]. It provides a new perspective for tracking global water resources and has been widely applied in monitoring drought, flood potential, and groundwater changes [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin

et al. 2021

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Terrestrial water storage (TWS) is a critical variable in the global hydrological cycle. The TWS estimates derived from the Gravity Recovery and Climate Experiment (GRACE) allow us to better understand water exchanges between the atmosphere, land surface, sea, and glaciers. However, missing historical (pre-2002) GRACE data limit their further application. In this study, we developed a random forest (RF) model to reconstruct the monthly terrestrial water storage anomaly (TWSA) time series using Global Land Data Assimilation System (GLDAS) and Climatic Research Unit (CRU) data for the Lancang-Mekong River basin. The results show that the RF-built TWSA time series agrees well with the GRACE TWSA time series for 2003–2014, showing that correlation coefficients (R) of 0.97 and 0.90 at the basin and grid scales, respectively, which demonstrates the reliability of the RF model. Furthermore, this method is used to reconstruct the historical TWSA time series for 1980–2002. Moreover, the discharge can be obtained by subtracting the evapotranspiration (ET) and RF-built terrestrial water storage change (TWSC) from the precipitation. The comparison between the discharge calculated from the water balance method and the observed discharge showed significant consistency, with a correlation coefficient of 0.89 for 2003–2014 but a slightly lower correlation coefficient (0.86) for 1980–2002. The methods and findings in this study can provide an effective means of reconstructing the TWSA and discharge time series in basins with sparse hydrological data.

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Ground and satellite based observation datasets for the Lower Mekong River Basin

Cited by 25 publications

References 5 publications

Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning

Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning

Diagnosing challenges and setting priorities for sustainable water resource management under climate change

Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin

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