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Evaluation of MODIS-Landsat and AVHRR-Landsat NDVI data fusion using a single pair base reference image:a case study in a tropical upstream catchment on java,Indonesia

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International journal of Digital Earth 2022年第1期15卷 164-197页

作者： Andry Rustanto martijn j.booij Department of Water Engineering and Management Faculty of Engineering TechnologyUniversity of TwenteEnschedethe Netherlands Department of Geography Universitas IndonesiaDepokIndonesia

Image blending is one of the alternative methods to fill temporal gaps in the monitoring of historical vegetation properties using continuous NDVI derived from Landsat 5 TM/7 ETM+and 8 OLI images.Frequent cloud occurrence in the tropical upstream catchment limits the use of image blending methods that allow to employment of a single pair base reference.This study aims to evaluate two image blending methods with nine input data configurations to select the most applicable one.Scatter plots and statistical indices such as ME,RMSE,model efficiency and structure similarity showed FSDAF outperforms STARFM in generating both synthetic Landsat 8 OLI NDVI and Landsat 5 TM/7 ETM+NDVI when employing unsupervised and supervised classification images,respectively,where both were applied along with MODIS NDVI 250 m v.005.When generating synthetic Landsat 5 TM/7 ETM+NDVI using AVHRR NDVI,both algorithms performed similarly.However,when considering the temporal over spatial variance ratio between base reference and predictor images,both algorithms performed almost similar when the value close to minimum.This study shows that selection of image blending algorithm with use single pair base reference image should consider input data configuration and temporal over spatial variance ratio.

关键词： Image blending Landsat NDVI MODIS NDVI AVHRR NDVI tropical upstream catchment

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Impacts of forestation on the annual and seasonal water balance of a tropical catchment under climate change

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Forest Ecosystems 2021年第4期8卷 856-871页

作者： Hero Marhaento martijn j.booij Noorhadi Rahardjo Naveed Ahmed Faculty of Forestry Universitas Gadjah MadaYogyakarta 55281Indonesia Water Engineering and Management Group Faculty of Engineering TechnologyUniversity of TwenteP.O.Box 2177500 AE Enschedethe Netherlands Faculty of Geography Universitas Gadjah MadaYogyakarta 55281Indonesia Key Laboratory of Mountain Surface Process and Ecological Regulations Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China

Background:This study aims to assess the effects of a forestation program and climate change on the annual and seasonal water balance of the Bogowonto catchment(597 km^(2))in java,Indonesia.The catchment study is rare example in Indonesia where forestation has been applied at the catchment level.However,since the forestation program has been initiated,evaluations of the program only focus on the planting area targets,while the environmental success e.g.,impacts on the hydrological processes have never been assessed.This study used a calibrated Soil and Water Assessment Tool(SWAT)model to diagnose the isolated and combined effects of forestation and climate change on five water balance components,namely streamflow(Q),evapotranspiration(ET),surface runoff(Q_(s)),lateral flow(Q_(l))and base flow(Q_(b)).Results:The results show that from 2006 to 2019,forest cover has increased from 2.7% to 12.8% of the total area,while in the same period there was an increase in the mean annual and seasonal temperature,rainfall,and streamflow.Results of SWAT simulations show that changes in the mean annual and seasonal water balance under the forestation only scenario were relatively minor,while changes were more pronounced under the climate change only scenario.Based on the combined impacts scenario,it was observed that the effects of a larger forest area on the water balance were smaller than the effects of climate change.Conclusions:Although we found that forestation program has minor impacts compared to that of climate change on the hydrological processes in the Bogowonto catchment,seasonally,forestation activity has decreased the streamflow and surface runoff during the wet season which may reduce the risk of moderate floods.However,much attention should be paid to the way how forestation may result in severe drought events during the dry season.Finally,we urge the importance of accounting for the positive and negative effects in future forestation programs.

关键词： Forestation Land use change Climate change SWAT model Water balance Bogowonto catchment

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A two-step approach to investigate the effect of rating curve uncertainty in the Elbe decision support system

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journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第9期9卷 1229-1238页

作者： Yue-ping XU Harriette HOLZHAUER martijn j. booij Hong-yue SUN Institute of Hydrology and Water Resources Department of Civil Engineering Zhejiang University Hangzhou 310027 China Water Engineering and Management Faculty of Engineering Technology University of Twente 7500 AE Ensehede the Netherlands Institute of Harbor Coast and Offshore Engineering Department of Civil Engineering Zhejiang University Hangzhou 310027 China

For river basin management, the reliability of the rating curves mainly depends on the accuracy and time period of the observed discharge and water level data. In the Elbe decision support system (DSS), the rating curves are combined with the HEC-6 model to investigate the effects of river engineering measures on the Elbe River system. In such situations, the uncertainty originating from the HEC-6 model is of significant importance for the reliability of the rating curves and the corresponding DSS results. This paper proposes a two-step approach to analyze the uncertainty in the rating curves and propagate it into the Elbe DSS: analytic method and Latin Hypercube simulation. Via this approach the uncertainty and sensitivity of model outputs to input parameters are successfully investigated. The results show that the proposed approach is very efficient in investigating the effect of uncertainty and can play an important role in improving decision-making under uncertainty.

关键词：治河工程生态学环境保护不确定性

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