Remote sensing of change in components of the regional water balance of the Murray-Darling basin using satellite imaged and spatially registered environmental data

Soil Research ◽  
1990 ◽  
Vol 28 (3) ◽  
pp. 409 ◽  
Author(s):  
DLB Jupp ◽  
J Walker ◽  
J Kalma ◽  
R Smith
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Root Zone ◽  
Regional Scale ◽  
Energy System ◽  
Environmental Data ◽  
Spatial And Temporal Variation ◽  
Murray Darling Basin ◽  
Rate Of Evaporation ◽  
Regional Water

The project aims to develop a series of maps by remote sensing to monitor aspects of the regional hydrology of the Murray-Darling Basin as well as its properties as a hydrothermal (water/energy) system. The methods are based on the analysis of thermal and microwave data collected by satellites to extract information on surface temperature and emissivity and thereby to estimate the spatial and temporal variation of soil moisture, rate of evaporation, water balance and associated properties of the root zone at a regional scale.

scholarly journals Evapotranspiration estimate from water balance closure using satellite data for the Upper Yangtze River basin

2013 ◽  
Vol 45 (4-5) ◽  
pp. 603-614 ◽  
Author(s):  
C. Corbari ◽  
M. Mancini ◽  
Z. Su ◽  
J. Li
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
River Basin ◽  
Satellite Data ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Regional Scale ◽  
Upper Yangtze River ◽  
The Upper Yangtze River

Application of hydrological models for water resources management at large continental river basins is often limited by the scarcity of in situ meteorological forcing data. Remote sensing information provides an alternative to in situ data, with observations that are, in some cases, at higher spatial and temporal resolutions than those available from traditional ground sources. In this work, the water balance equation is solved using precipitation retrieved from Tropical Rainfall Measuring Mission, water storage from Gravity Recovery and Climate Experiment satellite data and ground discharge. Evapotranspiration (ET) is then computed as a residual term of the water balance. Satellite data are compared with ground data to understand to what extent remote sensing observations can be used to improve estimates of the terrestrial water balance at regional scale. ET estimates are also compared with the ET computed from a detailed distributed energy water balance model and with the ET product from the Moderate Resolution Imaging Spectroradiometer Global Evapotranspiration Project. These analyses are performed for the Upper Yangtze River basin (China) in the framework of NRSCC-ESA DRAGON-2 Programme.

scholarly journals Estimating the Long-Term Hydrological Budget over Heterogeneous Surfaces

2006 ◽  
Vol 7 (1) ◽  
pp. 203-214 ◽  
Author(s):  
J. Song ◽  
M. L. Wesely ◽  
D. J. Holdridge ◽  
D. R. Cook ◽  
J. Klazura
Keyword(s):  
Remote Sensing ◽  
Climate Model ◽  
Root Zone ◽  
Regional Scale ◽  
Grid Cell ◽  
Remote Sensing Data ◽  
Subgrid Scale ◽  
Surface Conditions ◽  
Sensing Data ◽  
Meteorological Observations

Abstract Estimates of the hydrological budget in the Walnut River Watershed (WRW; ∼5000 km2) of southern Kansas were made with a parameterized subgrid-scale surface (PASS) model for the period 1996–2002. With its subgrid-scale distribution scheme, the PASS model couples surface meteorological observations with satellite remote sensing data to update root-zone available moisture and to simulate surface evapotranspiration rates at high resolution over extended areas. The PASS model is observationally driven, making use of extensive parameterizations of surface properties and processes. Heterogeneities in surface conditions are spatially resolved to an extent determined primarily by the satellite data pixel size. The purpose of modeling the spatial and interannual variability of water budget components at the regional scale is to evaluate the PASS model's ability to bridge a large grid cell of a climate model with its subgrid-scale variation. Modeled results indicate that annual total evapotranspiration at the WRW is about 66%–88% of annual precipitation—reasonable values for southeastern Kansas—and that it varies spatially and temporally. Seasonal distribution of precipitation plays an important role in evapotranspiration estimates. Comparison of modeled runoff with stream gauge measurements demonstrated close agreement and verified the accuracy of modeled evapotranspiration at the regional scale. In situ measurements of energy fluxes compare favorably with the modeled values for corresponding grid cells, and measured surface soil moisture corresponds with modeled root-zone available moisture in terms of temporal variability despite very heterogeneous surface conditions. With its ability to couple remote sensing data with surface meteorology data and its computational efficiency, PASS is easily used for modeling surface hydrological components over an extended region and in real time. Thus, it can fill a gap in evaluations of climate model output using limited field observations.

scholarly journals Suitability of Satellite-Based Precipitation Products for Water Balance Simulations Using Multiple Observations in a Humid Catchment

2019 ◽  
Vol 11 (2) ◽  
pp. 151 ◽  
Author(s):  
Dan Zhang ◽  
Xiaomang Liu ◽  
Peng Bai ◽  
Xiang-Hu Li
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Water Balance ◽  
Spatial Patterns ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Distributed Hydrological Model ◽  
Multiple Observations ◽  
Humid Region ◽  
Regional Water

This study assesses the suitability of five popular satellite-based precipitation products in modeling water balance in a humid region of China during the period 1998–2012. The satellite-based precipitation products show similar spatial patterns with varying degrees of overestimation or underestimation, compared with the gauged precipitation. A distributed hydrological model is used to evaluate the suitability of satellite-based precipitation products in simulating streamflow, evapotranspiration and soil moisture. The simulations of streamflow and evapotranspiration forced by the MSWEP precipitation perform best among the five satellite-based precipitation products, where the Kling-Gupta efficiency (KGE) between the simulated and observed streamflow ranges from 0.75 to 0.91, and the KGE between the simulated and observed evapotranspiration ranges from 0.46 to 0.61. However, the KGE between the simulated and observed soil moisture is negative, indicating that the performance of soil moisture simulation forced by satellite-based precipitation is poor. In addition, this study finds the spatial pattern of simulated streamflow is dominated by the distribution of precipitation, whereas the distribution of evapotranspiration and soil moisture is controlled by the parameters of the hydrological model. This study is useful for the improvement of hydrological modeling based on remote sensing and the monitoring of regional water resources.

Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic

2021 ◽  
Vol 256 ◽  
pp. 107064
Author(s):  
František Jurečka ◽  
Milan Fischer ◽  
Petr Hlavinka ◽  
Jan Balek ◽  
Daniela Semerádová ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Czech Republic ◽  
Water Balance ◽  
Winter Wheat ◽  
Spring Barley ◽  
The Czech Republic

scholarly journals Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products

2021 ◽  
Vol 13 (5) ◽  
pp. 853
Author(s):  
Mohsen Soltani ◽  
Julian Koch ◽  
Simon Stisen
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Spatial Pattern ◽  
Spatial Patterns ◽  
Principal Component ◽  
Small Scale ◽  
Dependence Structure ◽  
Test Case ◽  
Catchment Scale ◽  
Balance Approach

This study aims to improve the standard water balance evapotranspiration (WB ET) estimate, which is typically used as benchmark data for catchment-scale ET estimation, by accounting for net intercatchment groundwater flow in the ET calculation. Using the modified WB ET approach, we examine errors and shortcomings associated with the long-term annual mean (2002–2014) spatial patterns of three remote-sensing (RS) MODIS-based ET products from MODIS16, PML_V2, and TSEB algorithms at 1 km spatial resolution over Denmark, as a test case for small-scale, energy-limited regions. Our results indicate that the novel approach of adding groundwater net in water balance ET calculation results in a more trustworthy ET spatial pattern. This is especially relevant for smaller catchments where groundwater net can be a significant component of the catchment water balance. Nevertheless, large discrepancies are observed both amongst RS ET datasets and compared to modified water balance ET spatial pattern at the national scale; however, catchment-scale analysis highlights that difference in RS ET and WB ET decreases with increasing catchment size and that 90%, 87%, and 93% of all catchments have ∆ET < ±150 mm/year for MODIS16, PML_V2, and TSEB, respectively. In addition, Copula approach captures a nonlinear structure of the joint relationship with multiple densities amongst the RS/WB ET products, showing a complex dependence structure (correlation); however, among the three RS ET datasets, MODIS16 ET shows a closer spatial pattern to the modified WB ET, as identified by a principal component analysis also. This study will help improve the water balance approach by the addition of groundwater net in the ET estimation and contribute to better understand the true correlations amongst RS/WB ET products especially over energy-limited environments.

scholarly journals Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model

2021 ◽  
Vol 13 (8) ◽  
pp. 1516
Author(s):  
Boyang Li ◽  
Yaokui Cui ◽  
Xiaozhuang Geng ◽  
Huan Li
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface ◽  
Energy Exchange ◽  
Vegetation Index ◽  
Regional Scale ◽  
Reconstruction Algorithm ◽  
Heihe River ◽  
Main Process ◽  
In Situ Data

Evapotranspiration (ET) of soil-vegetation system is the main process of the water and energy exchange between the atmosphere and the land surface. Spatio-temporal continuous ET is vitally important to agriculture and ecological applications. Surface temperature and vegetation index (Ts-VI) triangle ET model based on remote sensing land surface temperature (LST) is widely used to monitor the land surface ET. However, a large number of missing data caused by the presence of clouds always reduces the availability of the main parameter LST, thus making the remote sensing-based ET estimation unavailable. In this paper, a method to improve the availability of ET estimates from Ts-VI model is proposed. Firstly, continuous LST product of the time series is obtained using a reconstruction algorithm, and then, the reconstructed LST is applied to the estimate ET using the Ts-VI model. The validation in the Heihe River Basin from 2009 to 2011 showed that the availability of ET estimates is improved from 25 days per year (d/yr) to 141 d/yr. Compared with the in situ data, a very good performance of the estimated ET is found with RMSE 1.23 mm/day and R2 0.6257 at point scale and RMSE 0.32 mm/day and R2 0.8556 at regional scale. This will improve the understanding of the water and energy exchange between the atmosphere and the land surface, especially under cloudy conditions.

scholarly journals Regional-scale phenology modeling based on meteorological records and remote sensing observations

2012 ◽  
Vol 117 (G3) ◽  
pp. n/a-n/a ◽  
Author(s):  
Xi Yang ◽  
John F. Mustard ◽  
Jianwu Tang ◽  
Hong Xu
Keyword(s):  
Remote Sensing ◽  
Regional Scale

Regional Water Balance and Economic Assessment as Tools for Water Management in Coastal Lebanon

2008 ◽  
Vol 23 (11) ◽  
pp. 2361-2378 ◽  
Author(s):  
Daniel El Chami ◽  
Maroun El Moujabber ◽  
Alessandra Scardigno
Keyword(s):  
Water Management ◽  
Water Balance ◽  
Economic Assessment ◽  
Regional Water
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