Estimation of Green Water Footprint of Rice Paddies in taitung area using MODIS data

Chih Da Wu, Tzu Yu Huang, Shih Yuan Lin, Chun Te Lin

研究成果: Paper

摘要

Green Water Footprint (GWF) is a recently developed indicator to identify the utilization and availability of the fresh water resource provided for agricultural products. Based on it accounting for rainwater evapotranspiration, a MODIS Global Terrestrial Evapotranspiration Data Set (MOD16) is applied to estimate GWF for its capable presenting global evapotranspiration status with high accuracy, wide coverage and long-term monitoring. Although the MOD16 product offers aforementioned advantages, current drawback is mainly on its data available time is too slow, for which announced data is about one-year late. This paper therefore aims to overcome the drawbacks and develop a regression method considering multiple variables including weather parameters and Normalized Difference Vegetation Index (NDVI) values in order to improve that the current MOD16 cannot reflect a more near real-time GWF. To demonstrate feasibility of the method we proposed, three representative agricultural areas in Taitung County mainly used for rice planting were selected as the studied sites. The analyzing data covered a prolonged period (from 2003 to 2012) and our regression model further distinguished the first and second cropping seasons in the ten years. The results of stepwise regression analysis reported that temperature and NDVI were significant variables related to MOD16. R2 values of models derived from the 1st and 2nd cropping data were 0.65 and 0.64, respectively. The regression models were also verified by 10 years' out-of-samples, and the results indicated that overall accuracy of the prediction was above 85%. Since the modelled evapotranspiration value was reliable, it was then used to compute the rice green water footprint of the two cropping seasons. Based on the model, even without values of the latest MOD16, the GWF of rice producing over the same area in 2013 and 2014 were estimated. The potential of a near real-time estimation of GWF of rice was demonstrated.

原文English
出版狀態Published - 2015 一月 1
事件36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
持續時間: 2015 十月 242015 十月 28

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
國家Philippines
城市Quezon City, Metro Manila
期間15-10-2415-10-28

    指紋

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此

Wu, C. D., Huang, T. Y., Lin, S. Y., & Lin, C. T. (2015). Estimation of Green Water Footprint of Rice Paddies in taitung area using MODIS data. 論文發表於 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015, Quezon City, Metro Manila, Philippines.