Laboratory for Remote Sensing Hydrology
and Spatial Modeling
Dept. of Bioenvironmental Systems Engineering
National Taiwan University
Prof. Ke-Sheng Cheng

遙測水文及空間模式研究室
國立台灣大學  生物環境系統工程學系
(中文)
Professor Cheng's personal page

The Laboratory for Remote Sensing Hydrology and Spatial Modeling at the
National Taiwan University (RSLAB-NTU) focuses research on three inter-related
fields:
hydrological processes, environmental remote sensing and spatial
modeling
. Almost all of the hydrological and environmental processes exhibit
spatial heterogeneity and random variations. These processes often involve
multi-scale phenomenon, and thus stochastic modeling and simulation, in addition
to fundamental physical principles, play essential roles in modeling these complex
processes. At RSLAB, we dedicate our research effort to spatial modeling of
hydrological and environmental processes using field measurements and remote
sensing images. The capability of spatial modeling enables us to monitor and/or
forecast hydrological and environmental changes. The following are research
topics that are of interest at RSLAB.
Research Topics at RSLAB-NTU
Remote sensing

Hydrological processes modeling
  • two-parameter distributions - normal and extreme value type I (Gumbel)
  • three-parameter distributions - Pearson type III
  • Raingauge network evaluation and augmentation using geostatistics [PDF file]
  • Stochastic modeling of rainfall processes
  • Drought-lead-time forecasting for reservoir operation
  • Effect of climate change on rainfall characteristics
  • Climatological drought watch and regional drought warning
  • Rainfall-runoff modeling
  • System identification and parameter estimation
  • Stochastic simulation
  • Scaling properties in hydrological processes

Geostatistics and spatial modeling
Course subjects with lecture notes
STATISTICS
GEOSTATISTICS
HYDROLOGY
REMOTE SENSING
ESTIMATION THEORY
APPLIED HYDROLOGY
RANDOM PROCESSES
STOCHASTIC HYDROLOGY (Sep., 2006 - Jan. 2007)
STOCHASTIC HYDROLOGY
Environmental Statistics and Risk Assessment
setstats
1
Related Links
Remote Sensing
http://earthobservatory.nasa.gov
http://www.noaa.gov/satellites.html
Hydrology
http://neptune.gsfc.nasa.gov/hsb/
Spatial Modeling
http://www.ai-geostats.org
 
Georeference of satellite images
Establishing acceptance regions of L-moment ratios by
stochastic simulation