All series of 644 images was applied with cloud removal method which developed by Hoan and ... to provide free cloud data sets. The Savitzky-Golay filter.
SEE 2016 in conjunction with ICGSI 2016 and CTI 2016 On “Energy & Climate Change: Innovating for a Sustainable Future” 28-30 November 2016, Bangkok, Thailand
Responses of Deciduous Forest to El Niño using Remotely sensed Technique: A case study in Thailand Phan Kieu Diem1 , Amnat Chidthaisong1*, Uday Pimple1, Asamaporn Sitthi1, Pariwate Varnakovida2, Rungnapa Kaewthongrach1, Katsunori Tanaka3 1
The Joint Graduate School of Energy and Environment. King Mongkut's University of Technology Thonburi, Bangkok, Thailand 2 Department of Mathematics, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand 3 Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Japan Abstract: The impact of the El Niño on tropical deciduous forest dynamics need to be addressed for assessment of forest carbon sequence under changing climate. In this study, we combined multiple types of data, which obtained from meteorological observations, time series of Normalized Difference Vegetation Index (NDVI) extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2001 to 2014, and the forests map of Lampang Province to evaluate the response of deciduous forests to El Niño. The results show that the lowest average NDVI relative anomaly was found in 2010, corresponding to the highest anomaly of maximum temperature and low anomaly of precipitation. After 2010 severe El Niño, average NDVI relative anomalies were dramatically increased with relatively cool and wet conditions during La Nina event (2011). NDVI relative anomalies were negatively correlated with maximum temperature anomaly (r = - 0.70, p
