@inproceedings{611b539c36ca4cb188e8b717bd3f3eca,
title = "Soil moisture estimation using classification and regression trees and neural networks",
abstract = "In this paper, a soil moisture estimation model was developed to calculate the nationwide soil moisture fields using on site soil moisture observation, precipitation, surface temperature, MODIS NDVI and a data mining technique, Classification And Regression Tree (CART) algorithm and neural networks. The model was applied to the Yong-dam dam basin since the soil moisture observations of the Yong-dam dam basin were reliable. Soil moisture observations of 4 sites were used for the model calibration and that of a site was used for the model validation. Results showed that the soil moisture estimation using a data mining technique and ancillary data allow us to get reasonable soil moisture fields which are suitable for the hydrologic model application.",
keywords = "CART, MODIS, NDVI, Neural networks, Precipitation, Soil moisture, Surface temperature",
author = "Gwangseob Kim and Park, {Jung A.}",
year = "2011",
language = "English",
isbn = "9789604742752",
series = "6th IASME/WSEAS Int. Conf. on Continuum Mechanics, CM'11, 6th IASME/WSEAS Int. Conf. on Water Resources, Hydraulics and Hydrology, WHH'11, 5th IASME/WSEAS Int. Conf. on Geology and Seismology, GES'11",
pages = "57--60",
booktitle = "6th IASME/WSEAS Int. Conf. on Continuum Mechanics, CM'11, 6th IASME/WSEAS Int. Conf. on Water Resources, Hydraulics and Hydrology, WHH'11, 5th IASME/WSEAS Int. Conf. on Geology and Seismology, GES'11",
note = "6th IASME / WSEAS International Conference on Continuum Mechanics, CM'11, 6th IASME / WSEAS International Conference on Water Resources, Hydraulics and Hydrology, WHH'11, 5th IASME / WSEAS International Conference on Geology and Seismology, GES'11 ; Conference date: 23-02-2011 Through 25-02-2011",
}