Mapping crop water use efficiency and yield gap analysis using remote sensing methods in Mae Klong Basin, Thailand | |
| Author | Kanlaya Phromprapan |
| Call Number | AIT Thesis no.WM-21-06 |
| Subject(s) | Geographic information systems--Thailand--Mae Klong Basin Geomorphological mapping--Thailand--Mae Klong Basin Crops and water--Thailand--Mae Klong Basin--Remote sensing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management |
| Publisher | Asian Institute of Technology |
| Abstract | Crop yield and water use efficiency information at field scale is critical information to manage the cropping systems by optimizing the resources efficiently. In this study, we have developed light use effciency models to estimate accumulated gross primary product and crop yield for rice and sugarcane crops during 2015-2019 in Mae Klong Basin. The light use efficiency model was developed as a function of temperature deficit (TD), vapour pressure deficit (VPD), photosynthetically active radiation (PAR) and fraction photosynthetically active radiation (fPAR) variables. Furthrmore, the fPAR variable was modelled as a function of NDVI variation over the crop fields. We used Landsat 8 satellite datasets to calulate NDVI values. The cloud cover problem and missing NDVI values were filled with harmonic model predicted values. The calculated RMSE values between actual NDVI and harmonic model predicted NDVI values were 0.13, 0.11, 0.01, 0.1 for rice and sugarcane field pixels (R1, R3, S1, and S3) respectively. The predicted yields from GPP model and GISTDA yields were compared and validated. The validation results show that the GPP based model predicted yields were closely matched with GISTDA yields with R2 values of 0.96, 0.95, 0.97, 0.99 for rice and sugarcane crops during 2018 and 2019 respectively. The maximum value of rice crop ET was 473 and 418 mm during wet season 2018 and 2019. In addition, the maximum value of rice crop ET was 575 and 626 mm during dry season 2018 and 2019. Similalry, the maximum value of sugarcane crop ET was 1,347 and 1,444 during 2018 and 2019 respectively. Sugarcane ET was relatively higher than rice crop because sugarcane crop seasonal is around 1 year (May to next year May) whereas the rice crop season is around 4-5 months (July to November) and (October to Febuary). The crop water use efficiency maps were created by dividing predicted crop yield maps with estimated actual ET maps. The rice crop water use efficiency was varying from 0.5 to 6.9 kg/m3 on wet season and 0.363 to 2 kg/m3 on dry season across the basin which indicates a huge mismanagement of water use in rice cropping systems in the basin on wet season and lack of good water management for water use in rice cropping systems in the basin on dry season |
| Year | 2021 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Water Engineering and Management (WM) |
| Chairperson(s) | Shanmugam, Mohana Sundaram |
| Examination Committee(s) | Shrestha, Sangam;Sarawut Ninsawat;Babel, Mukand |
| Scholarship Donor(s) | Royal Thai Government;Asian Institute of Technology Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |