169
8
Modeling Stream Flow
Changes with the Aid of
Multisourced Remote
Sensing Data in a Poorly
Gauged Watershed
Zhandong Sun, Christian Opp,
Thomas Hennig, and Ni-Bin Chang
8.1 INTRODUCTION
Exploring water resources management decisions can be supported based on a
variety of hydrologic modeling techniques (Chow et al. 1988; Singh 1995). Yet, the
essential collection of meteorological and catchment properties (e.g., precipitation,
temperature, land use and vegetation, soil, topography, and lithology) is inevitable.
The hydrologic modeling applications for watershed management are often limited
by data acquisitions, especially in regions with a weak infrastructure, such as those in
CONTENTS
8.1 Introduction .................................................................................................. 169
8.2 Study Area .................................................................................................... 171
8.3 Materials and Methods ................................................................................. 172
8.3.1 Satellite Data .................................................................................... 172
8.3.2 Analysis of the Empirical Orthogonal Function .............................. 174
8.3.3 Artificial Neural Network Modeling ................................................ 174
8.4 Results .......................................................................................................... 175
8.4.1 Output of the EOF Analysis ............................................................. 175
8.4.2 Spatial Patterns of the First Four Leading EOFs ............................. 176
8.4.3 Construction of Input Variables for the ANN Modeling Analysis ..... 178
8.4.4 Output of the ANN Modeling Analysis............................................ 179
8.5 Discussion ..................................................................................................... 179
8.6 Conclusions ................................................................................................... 181
Acknowledgments ................................................................................................. 181
References ............................................................................................................. 181
8
Modeling Stream Flow
Changes with the Aid of
Multisourced Remote
Sensing Data in a Poorly
Gauged Watershed
Zhandong Sun, Christian Opp,
Thomas Hennig, and Ni-Bin Chang
8.1 INTRODUCTION
Exploring water resources management decisions can be supported based on a
variety of hydrologic modeling techniques (Chow et al. 1988; Singh 1995). Yet, the
essential collection of meteorological and catchment properties (e.g., precipitation,
temperature, land use and vegetation, soil, topography, and lithology) is inevitable.
The hydrologic modeling applications for watershed management are often limited
by data acquisitions, especially in regions with a weak infrastructure, such as those in
CONTENTS
8.1 Introduction .................................................................................................. 169
8.2 Study Area .................................................................................................... 171
8.3 Materials and Methods ................................................................................. 172
8.3.1 Satellite Data .................................................................................... 172
8.3.2 Analysis of the Empirical Orthogonal Function .............................. 174
8.3.3 Artificial Neural Network Modeling ................................................ 174
8.4 Results .......................................................................................................... 175
8.4.1 Output of the EOF Analysis ............................................................. 175
8.4.2 Spatial Patterns of the First Four Leading EOFs ............................. 176
8.4.3 Construction of Input Variables for the ANN Modeling Analysis ..... 178
8.4.4 Output of the ANN Modeling Analysis............................................ 179
8.5 Discussion ..................................................................................................... 179
8.6 Conclusions ................................................................................................... 181
Acknowledgments ................................................................................................. 181
References ............................................................................................................. 181