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Soil Moisture Estimation and Drought Assessment at the Spatio-Temporal Scales using Remotely Sensed Data: (II) Drought

원격탐사자료를 이용한 시⋅공간적으로 분포되어 있는 토양수분산정 및 가뭄평가: (II) 가뭄

  • Shin, Yongchul ;
  • Choi, Kyung-Sook ;
  • Jung, Younghun ;
  • Yang, Jae E. ;
  • Lim, Kyoung-Jae
  • 신용철 ;
  • 최경숙 ;
  • 정영훈 ;
  • 양재의 ;
  • 임경재
  • Received : 2015.12.02
  • Accepted : 2015.12.29
  • Published : 2016.01.30

Abstract

Based on the soil moisture data assimilation suggested in the first paper (I), we estimated root zone soil moisture and evaluated drought severity using remotely sensed (RS) data. We tested the impacts of various spatial resolutions on soil moisture variations, and the model outputs showed that resolutions of more than 2-3 km resulted in over-/under-estimation of soil moisture values. Thus, we derived the 2 km resolution-scaled soil moisture dynamics and assessed the drought severity at the study sites (Chungmi-cheon sites 1 and 2) based on the estimated soil/root parameters and weather forcings. The drought indices at the sites were affected mainly by precipitation during the spring season, while both the precipitation and land surface characteristics influence the spatial distribution of drought during the rainy season. Also, the drought severity showed a periodic cycle, but additional research on drought cycles should be conducted using long-term historical data. Our proposed approach enabled estimation of daily root zone soil moisture dynamics and evaluation of drought severity at various spatial scales using MODIS data. Thus, this approach will facilitate efficient management of water resources.

Keywords

Drought;MODIS;Remotely sensed data;Root zone soil moisture;Soil and root parameters

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