Rice crop yield estimation using remote sensing and geographic information system techniques : a case study in Subang, West Java, Indonesia | |
| Author | Heryanto, R. Bambang |
| Call Number | AIT Thesis no.SR-01-05 |
| Subject(s) | Rice--Yields--Remote sensing Geographic information systems Rice--Indonesia--Java |
| Note | A thesis submitted as a partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Rice is one of the important crops in Indonesia. A case study in Subang areas were carried out at local level to investigated relationship between Normalized Difference Vegetation Index (NDVI) at heading stage from optical satellite data and rice crop yield. The same procedure for SAR data was developed the models based on good relationships between NDVI at heading stage and backscattering coefficient with relationship between estimated NDVI and rice crop yield. The optical satellite data (Landsat TM and SPOT XS) acquired in 1997 and in 1999, and SAR microwave satellite data (JERS-1 SAR acquired in 1997 and ERS-2 SAR acquired in 1999) were used to estimate the rice crop yield with statistic regression analysis. The sample plots have done taken from rice field in the images considered the homogenous areas at heading stage, especially for SAR models should be more than minimum 5 ha for speckle-limited accuracy by indicate same or small on value of constant of variance (CV) from the statistic of digital number. The results show that the relationships between NDVI at heading stage and rice crop yield were good correlation with R2 equal 0.92 and standard error 0.20 (average difference equal 0.21 ton/ha) using Landsat TM (Model 1-A) and R2 equal 0.70 and standard error 0.22 (average difference equal 0.37 ton/ha) using SPOT XS (Model 1-C). Based on these models have done proposed the models of rice crop yield estimation using SAR data. In this research proposes the models for estimate the rice crop yield by backscattering coefficient based on good relationship between estimated NDVI at heading stage and rice crop yield. The models show that the relationship between backscattering coefficient and rice crop yield by couples of empirical regression were good correlation with R2 equal 0.73, and average differences between estimated and actual rice crop yield equal 0.37 ton/ha using JERS-1 SAR (Model 2-A). The Model 2-D using ERS-2 SAR was validated with R2 equal 0.61, standard enor 0.147, and average differences of estimated .yield with actual ofrice crop yields equal 0.24 ton/ha. This research concluded that the use of SAR Radar and Optical data fusion is most useful to get reliable results especially in this region often by cloud cover during the planted season of rice crop. Selection of appropriate acquisition dates and synchronized with crop calendar is of utmost important for rice crop yield studies. Besides that, supporting relevant available maps and ground truth data are essential to improved accuracy of the results. |
| Year | 2001 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Space Technology Application and Research (SR) |
| Chairperson(s) | Honda, Kiyoshi; |
| Examination Committee(s) | Wijesekera, Sohan N.T. W ;Tokunaga, Mitsuharu ; |
| Scholarship Donor(s) | NASDA - GAC scholarship ; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2001 |