UAV-Based multispectral vegetation indices for assessing soil water status in pangola grass (Digitaria eriantha) | |
| Author | Apirak Somnam |
| Call Number | AIT Thesis no.AE-24-01 |
| Subject(s) | Grasses--Analysis Vegetation mapping--Remote sensing Remote sensing--Data processing |
| Note | A Thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Agricultural Systems and Engineering |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. AE-24-01 |
| Abstract | Pangola grass is one of the most significant fodder grasses for livestock production, which uses water as a key factor for optimal growth. There are often problems with monitoring the amount of water to guide the production of grass to achieve higher quality grass yields. In this research, unmanned aerial vehicle (UAV) based multispectral vegetation indices and Plant-O-meter sensor (POM) based vegetation indices [normalized difference vegetation index (NDVI) and normalized difference red edge index (NDRE)] were used for assessing the water status of soil and plants. Ground-based measurements including soil moisture and leaf relative water content (LRWC) were used for comparative analysis and assessments. In this study, the moisture regime reduction in each treatment was detected by NDVI and NDRE. The results indicated that the UAV-generated NDVI and NDRE values exhibit a good relationship with LRWC with R2 values of 0.61 and 0.63, respectively. Additionally, POM estimated NDVI and NDRE showed a fair relationship with LRWC, with R2 values of 0.48 and 0.30, respectively. Moreover, UAV and POM estimated NDVI showed a very good relationship with soil moisture meter measurements with R2 values of 0.86 and 0.78, respectively. This study demonstrates that the UAV exhibits greater potential than POM for assessing the water status of pangola grass. However, POM still demonstrates a high capability for assessing soil water content in this area, particularly when utilizing NDVI. |
| Year | 2024 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. AE-24-01 |
| Type | Thesis |
| School | School of Environment, Resources, and Development |
| Department | Department of Food, Agriculture and Natural Resources (Former title: Department of Food Agriculture, and BioResources (DFAB)) |
| Academic Program/FoS | Agricultural Systems and Engineering (ASE) |
| Chairperson(s) | Himanshu, Sushil Kumar; |
| Examination Committee(s) | Datta, Avishek;Zulfiqar, Farhad; |
| Scholarship Donor(s) | The Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2024 |