Modeling NDVI and LAI with climate anomalies and its relation with crop yield in the Songkhram River Basin, Thailand | |
| Author | Daosaowaluk Kongtong |
| Call Number | AIT Thesis no.RS-19-17 |
| Subject(s) | Climatic changes--Thailand--Songkhram River Basin Leaf area index--Measurement--Methodology Songkhram River Basin(Thailand)--Remote-sensing images |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Normalized difference vegetation index (NDVI) and Leaf Area Index (LA I) derived from MODIS Terra data (2003-2017) have analyzed on NDVI and LAI with climate anomalies and its relation with crop yield. In our study, we focus on we focused on the temporal and spatial changes in the value of the NDVI and LAI in this region, and the relationships between NDVI, LAI, crop yield and climate factors in Songkhrarn River Basin (SRB), Thailand from the year of 1988 to 2017. The primary objectives of this our study are to examine vegetation changed in the SRB by using the time series of MODIS-NDVI and LAI data, the relationship between NDVI, LAI, and climate anomalies so as to explore the response mechanism of vegetation to the climatic variations (temperature, precipitation, humidity, and heat index), and to explore the impact of climate anomalies on crop yield anomalies. NDVI and LAI of SRB increased by 9.8% and 12.3% respectively. NDVI values for Huai Khong sub-basin and LAI values for Huai Nam Un sub-basin remained high all year compared with other sub-basins. NDVI and LAI reached a peak at the end of September. Our study showed that NDVI, LAI, rainfall, temperature, relative humidity, and heat index varied among years. The correlation between the mean 16-day NDVI, LAI, rainfall, temperature, relative humidity, and heat index varied depending on crops types and sub- basins. LAI in the Huai Khong and Huai Hi sub-basins were significantly positively correlated to temperature anomaly and the correlation coefficient were 0.205 and 0.l21 respectively. The results revealed that temperature anomaly significantly affects in Huai Khong sub-basin and Huai Hi sub-basin. The minimum temperature anomaly has a significant effect on the crop yield anomalies record. The regression indicates R square of 0.791 indicating that rainfall, minimum temperature and maximum temperature anomalies account for 79.1 % of the variation in second rice yield. |
| Year | 2019 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar ;Virdis, Salvatore G. P. |
| Examination Committee(s) | Shrestha, Sangam ;Pal, Indrajit |
| Scholarship Donor(s) | Royal Thai Government - AIT Fellowship |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2019 |