05622nas a2200469 a 4500 20260818112533.0 140619s2012 th uu m|rtt 0 eng d .b12133978 AIT Diss. no.RS-12-01 Poonsak Miphokasap Estimation of sugarcane biophysical and biochemical parameters from hyperspectral remote sensing Pathum Thani, Thailand : Asian Institute of Technology, 2012 96 leaves : maps, charts Dissertation ; no. RS-12-01 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems Thesis (Ph.D.) - Asian Institute of Technology, 2012 Sugarcane is one of the most important economic cro ps in Thailand which is used to produce sugar and to generate power. Nutrient defic iencies and intensity of foliar are among the most important factors affecting sugarcan e growth and productivity. Monitoring of crop status in sugarcane is, therefore, essentia l for directly assessing the consequences on yield or indirectly evaluating the adverse plant symptoms which relate susceptibility to pests and diseases. The complex spatial-temporal ch aracteristics of spectral characteristics deriving from the fields might not be explained by linear model. In this situation, non- linear relationship usually gives more flexibility than in simple linear model and returns the better estimation results. This study aimed to investigate the potential of hyperspectral data in estimating Canopy Nitrogen Concentration (C NC) and Leaf Area Index (LAI) of sugarcane at full canopy cover and map the spatial distribution of sugarcane CNC at the space level using linear and non-linear model. The results showed that sugarcane CNC is more accur ately estimated by the new integrated approach, involving Kernel Principal Component Anal ysis (KPCA), continuum-removed absorption features as well as a Support Vector Reg ression (SVR). The highlight of this study is that SVR technique was applied at the firs t time for estimating crop nutrient from hyperspectral data. It can be concluded that the mo del accuracy for estimating CNC can be significantly improved even its cultivars were mixe d, with relative error of 3.04%, 3.5% and 4.07% by narrow vegetation indices, SMLR and SV R, respectively when comparing with the previous publication. Sensitive spectral i nformation, contained in the visible (400- 700 nm), red edge (670-780 nm), and far near-infrar ed (1100-1286 nm) regions of the electromagnetic spectrum was reported in this study . It can be summarized that canopy architecture influences directly to the sugarcane s pectral signature and the predictive model capability. Canopy architecture closely relates to amount of light intensity penetrating the sugarcane canopy and interacting with the subsequen t leaves. The results showed a strong interaction between genetic cultivars and CNC, LAI in effecting spectral reflectance. This provided a basis for the methodologies to use in ma pping sugarcane foliar nutrient in a mixed cultivar environment. The integrating of KPCA and non-linear transformation function based on SVR could explain 78 % of the var iation in sugarcane nitrogen concentration using orbiting hyperspectral data. Th is result was better as compared to the use of narrow vegetation index and multiple linear regression. Some selected spectral wavelengths at the space level differ from the repo rted wavelengths at the field experimental level especially in the middle-infrare d regions of the electromagnetic spectrum. Sugarcane Remote sensing Honda, Kiyoshi, Chairperson Nagai, Masahiko, Examination Committee Souris, Marc, Examination committee Chaichoke Vaiphasa, Examination committee Royal Thai Government, Scholarship Donor Asian Institute of Technology, Scholarship Donor Asian Institute of Technology. Dissertation ; no. RS-12-01 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B00758 .b12133978 mnait j 240404 0 140619 m a j 0 000:001:PDF:b1213397:001551:0:0:0:0:0:0 Abstract--AIT Diss. no.RS-12-01 n mnait mnait mnarc mnarc 20 40 Barcode : 30050120555817 CREATED : 2014-06-19 RECORD # : i12813291 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120555783 CREATED : 2014-06-19 RECORD # : i12813308 LPATRON : 1025965 LCHKIN : 2015-04-10 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 1 TOT CHKOUT : 1 TOT RENEW : 3 Barcode : 30050160000948 CREATED : 2016-03-23 RECORD # : i12902822 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120993216 CREATED : 2020-12-02 RECORD # : i13259490 LPATRON : 1031875 LCHKIN : 2023-06-06 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 1 TOT RENEW : 0 40299 40299 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Diss. no.RS-12-01 30050120555817 2026-08-18 11:25:33 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Diss. no.RS-12-01 30050120555783 2026-08-18 11:25:33 2 2026-08-18 20 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Diss. no.RS-12-01 30050160000948 2026-08-18 11:25:33 2026-08-18 40 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Diss. no.RS-12-01 30050120993216 2026-08-18 11:25:33 3 2026-08-18 20