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All Journal JURNAL TEKNOLOGI LINGKUNGAN
Sukojo, Bangun Muijo
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Environmental Science

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PREDIKSI PARAMETER-PARAMETER BIOFISIK TANAMAN PADI DARI DATA GROunDSPECTROmETER DAN HYPERSPECTRAL PESAWAT TERBANG DENGAN MENGGUNAKAN TEKNIK PARTIAL LEAST SquARE REGRESSIOn (PLSR) DAN nORmALIzED DIFFEREnCE SPECTRAL InDEx (NDSI) Darmawan, Arief; Hariyanto, Teguh; Sukojo, Bangun Muijo; Sadly, Muhamad
Jurnal Teknologi Lingkungan Vol. 12 No. 1 (2011)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.434 KB) | DOI: 10.29122/jtl.v12i1.1266

Abstract

Paddy rice canopy hyperspectral was measured by using ground-based spectroradiometer and HyMap sensor onboard an airplane from 350 nm up to 2500 nm in the same timethat covered various growth stages. Coinciding with hyperspectral measurement, biophysical parameters such as leaf area index (LAI), SPAD value were measured onground during the airplane passed over area of interest (AOI). Rice yield was measured at the time of final harvesting by random selected yield (ubinan method) for each sampling area. In finding the best correlation among canopy hyperspectral reflectance with crop development, optimal individual waveband explored with involving all possible waveband combinations to obtain the best fitted two-pair waveband related to crop biophysical parameters. Normalized Difference Spectral Index (NDSI) was appliedfrom spectral transformations (obtained from optimal waveband selected by exploring all possible waveband) to improve sensitivity analysis on plant. Canopy hyperspectralprovided information about plant, soil and water background when plant canopy don’t completely cover soil surface yet. The present study was directed to examine spectralindices and establish the relationships between biophysical parameters of rice by using partial least square regression (PLSR) technique. 
Co-Authors Arief Darmawan muhamad sadly Teguh Hariyanto, Teguh