Browse > Article
http://dx.doi.org/10.17663/JWR.2011.13.2.171

Analysis of soil moisture response due to Eco-hydrological change  

Hur, Yoo-Mi (한양대학교 건설환경공학과)
Choi, Min-Ha (한양대학교 건설환경공학과)
Kim, Hyun-Woo (한양대학교 건설환경공학과)
Kim, Sang-Dan (부경대학교 환경해양대학 환경공학과)
Ahn, Jae-Hyeon (서경대학교 토목공학과)
Publication Information
Journal of Wetlands Research / v.13, no.2, 2011 , pp. 171-179 More about this Journal
Abstract
The main objective of this study is to estimate of the vegetation response induced by climate change to soil moisture. We investigated a relationship between vegetation activity and climate variables using Moderate Resolution Imaging Spectroradiometer (MODIS)-retrieved Normalized Difference Vegetation Index (NDVI) and soil moisture. NDVI which extracted from MODIS 13 Vegetation Indices Product was considered as an useful parameter to figure out a relationship with two types of soil moisture, which were observed at Rural Development Administration sites and estimated from Advanced Microwave Scanning Radiometer E (AMSR-E) satellite imagery. The correlation of MODIS-NDVI and ground measured soil moisture were observed, became much stronger when compared to soil moisture values with time lag (5days, 10days, 15days). The correlation patterns between NDVI and soil moisture with different time lag were related to soil texture. The results from this study will be useful to understand the role of vegetation in water balance control in various scales from regional to global climate change.
Keywords
Vegetation; Soil Moisture; AMSR-E; MODIS; NDVI;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Notre planete Canicule en France: 15000 morts. Notre planete. 2010.(http://www.notre-planete.info/actualites/actu_238_canicule_France_15000_morts.php/)
2 Porporato A, Laio F, Ridolfi L. Rodriguez- Iturbe I. 2001. Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress. III. Vegetation water stress. Advanced in Water Resources 24: 725-744.   DOI   ScienceOn
3 Glenn EP, Huete AR, Nagler PL, Nelson SG. 2008. Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: what vegetation indices can and cannot tell us about the landscape. Sensors 8: 2136-2160.   DOI
4 Jackson RB, Carpenter SR, Dahm CN, McKnight DM, Naiman RJ, Postel SL, Running SW. 2001. Water in a changing world. Ecological Applications 11: 1027-1045.   DOI   ScienceOn
5 Njoku E, Li L. 1999. Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz. IEEE Transactions on Geoscience and Remote Sensing 37: 79-93.   DOI   ScienceOn
6 채효석, 김광은, 김성준, 김영섭, 이규성, 조기성, 조명희. 2009. 환경원격탐사, 시그마프레스.
7 Njoku EG, Jackson TJ, Lakshmi V., Chan TK, Nghiem SV. 2003. Soil Moisture Retrieval From AMSR-E. IEEE Transactions on Geoscience and Remote Sensing 41: 215-229.   DOI   ScienceOn
8 Choi M, Lee S, Kwon H. 2010. Understanding of Common Land Model (CLM) performance for water and energy fluxes in farmland during a growing season in Korea. Hydrological Processes 24: 1063-1071.   DOI   ScienceOn
9 이주헌, 이길재. 2006. 국가 가뭄관리 정보시스템 구축. 한국수자원학회지, 한국수자원학회, 39(3): 29-36.
10 정일원. 2008. 혼합 상세화 기법을 적용한 국내 수자원의 기후변화 영향평가. 박사학위논문, 세종대학교.
11 Adger WN, Arnell NW, Tompkins EL, 2005. Successful adaptation to climate change across scales. Global Environmental Change 15: 77-86.   DOI   ScienceOn
12 Bindlish R, Jackson T, Gasiewski A, Klein M, Njoku E. 2006 Soil moisture mapping and AMSR-E validation using the PSR in SMEX02. Remote Sensing of Environment 103: 127-139.   DOI   ScienceOn
13 배덕효. 2009. 기후변화에 따른 수자원 영향평가 및 적응대책. 국토연구원. pp 34-45.
14 Choi M, Jacobs JM, Kustas WP. 2008. Assessment of clear and cloudy sky parameterizations for daily downwelling longwave radiation over different land surfaces in Florida, USA. Geophysical Research Letters 35: L20402, DOI: 10.1029/2008GL035731.   DOI
15 농업기상정보시스템 (http://weather.rda.go.kr/)
16 MODIS (http://modis.gsfc.nasa.gov/)
17 김광섭, 김종필, 박한균. 2009. 기상관측자료와 위성영상자료를 연계한 토양수분 산정, 대한토목학회 2009년도 정기학술대회 논문집. pp 3439-3442.