Rice crop monitoring using phenological analysis through landsat and field server data in Niigata, Japan | |
| Author | Sai, S. Akhil |
| Call Number | AIT Thesis no.RS-17-23 |
| Subject(s) | Rice--Monitoring--Japan--Niigata Landsat satellites--Remote sensing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-17-23 |
| Abstract | This study focus on monitoring the growth stages of the paddy crop from May to September in okada - akhiha - ku - niigata prefecture and Kamihachimai - Minami - ku, Niigata Prefecture in the wet season. The Phenological stages (Seedling, Tillering, Heading, Harvest) are obtained from the combined data of Landsat 7,8 and field server. By using Normalized Difference Vegetation Index (NDVI) we can obtain phenological values for different stage ranging from 0.1 to 0.8 for Landsat images. By using Excessive green index (EXG) we can obtain phenological values for each stage ranging from 0.1 to 0.9 for field server. Since the temporal resolution of satellite is for every 14 days and the temporal resolution of field server images is daily, the correlation is not precise but reliable . The potential Phenological curve for paddy crop is used to estimate the growth stages from the combined data of Landsat and field server. By comparing the both the vegetation index we can extract the vegetation phenological curve (VPC) for both the study areas . Comparison results are performed on three areas to discover the real - time relationships between the paddy fields, from which we can monitor the paddy fields with a huge area. From the combined Landsat and field server data we obtain weekly data regarding the paddy by averaging the field servers obtained phenological curve and creating an error bar limitations. If we insert new phenological curve and if it exceeds the error bar limitations, we can inform the farmer regarding delay i n the phenological curve. The main parameters ( start of the growing season, Seedling, Tillering, Heading, Harvest, end of the growing stage ) can be determined from the phenological curve . |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-17-23 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Apichon Witayangkurn |
| Examination Committee(s) | Masahiko Nagai;Sarawut Ninsawat;Hiroyuki Miyazaki |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2017 |