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Susumu Kanno
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Earth & Planetary Sciences Environmental Science

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STUDY ON THE VERTICAL DISTRIBUTION OF CHLOROPHYLL IN COASTAL OCEAN; DEVELOPMENT OF VERTICAL MODEL FUNCTION AT WESTERN SUMBAWA SEA Nyoman Dati Pertami; Susumu Kanno; I Wayan Arthana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 1 No 2
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.12 KB)

Abstract

The primary production quantity depends on the vertical distribution of chlorophyll concentration inthe water column. The chlorophyll maximum value not always observed near or at the sea surface, butsometimes lies deeper than bottom of the euphotic zone. In this case, the ocean color sensors cannot measurethe chlorophyll maximum value. Vertical distribution of chlorophyll modeled and calculated withdevelopment of Vertical Model Function (VMF) by “Gaussian function”.This research has been carried out in western area of Sumbawa Sea. There were 178 stations of fieldobservations. The data were collected at each 0.5 m depth up to 200 m sea depth. Results processing ofprimary data, with correlations between chlorophyll concentration and depth in every station can show typesof vertical distribution of chlorophyll in all stations. There are five types of vertical distribution ofchlorophyll at Western Sumbawa Sea. The” five types” then classified into two main groups namely areLinear (L) type and Gaussian (G) type. Finally, data were processed to obtained one especially type that is“one type”. The regression analysis was carried out on the parameters in the Gaussian Function, BO, S, h, ?and Zmax for the each type of the vertical distribution of chlorophyll concentration.Vertical distribution of chlorophyll found at Western Sumbawa Sea are Linear (L) type, Linearsurface (LS) type, Gaussian (G) type, Gaussian with maximum surface (GS) type, and Linear with maximumsurface (LMS) type, where with “five types” have nine coefficient determinants (R) which below than 0,25.The regression analysis were modified from “five types” into “two types” and the result was two coefficientdeterminants (R) that below than 0,25. Correlation coefficient with “one type” have better result than theother types which has only one coefficient determinant (R) that below than 0,25.
A NEW APPROACH FOR THE TSUNAMI PREDICTION USING SATELLITE ALTIMETRY: TRIALS FOR ACEH TSUNAMI EVENTS IN 2004 AND 2005 Susumu Kanno; Yasuo Furushima; I Wayan Nuarsa; I Gede Hendrawan
International Journal of Remote Sensing and Earth Sciences Vol. 3 (2006)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2006.v3.a1204

Abstract

Change in the sea surface height anomaly derived from satellite altimeter was examined and applied to evaluate the possibility of tsunami prediction before the occurance. Sea surface height anomaly was composed period during earthquake and tsunami occurance. Daily variability in the sea surface height anomaly was traced about the location of hypocenter, aftershock, and the end of erthquakes from satellite altimetry. Results shows that there are the locations where the sea surface height anomaly suddenly increased or decreased before tsunami event at least. This result can be utilized and applied for the development in not only the stunami monitoting system as the disaster monitoring, but also for the effective tsunami prediction system in the near future.
DEVELOPMENT OF THE NEW ALGORITHM FOR MANGROVE CLASSIFICATION Nuarsa I Wayan; Sandi Adnyana I Wayan; Yasuhiro Sugimori; Susumu Kanno; Fumihiko Nishio
International Journal of Remote Sensing and Earth Sciences Vol. 2 (2005)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2005.v2.a1358

Abstract

The objective of the study is to develop the algorithm for mangrove classification and density. Regression and correlation analysis was used to perform the equation. CE1 = (0.663*Band 3) + (0.l55 *Band 4) - (l.4*Band 5) + 0.995 And CE2 = 36 * Band 4 + 6*Band 5 + Band 3 were two formula that have been used to classify the mangrove. The object will be classified as mangrove when the value of CE1 is between -31.439 and 0.888, and value of CE2 is greater than or equal to 2000. On the other hand, density of the mangrove was expressed as DE = (2 * Band 4)/(Band 1+Band 3). Mangrove classification result in this study was similar to those of the existing methods. Statistical approach in this study generally gives the higher result tendency than other methods.
SPECTRAL CHARACTERISTIZATION OF RICE FIELD USING MULTITEMPORAL LANDSAT ETM+ DATA NUARSA I WAYAN; SUSUMU KANNO; YASUHIRO SUGIMORI; FUMIHIKO NISHIO
International Journal of Remote Sensing and Earth Sciences Vol. 2 (2005)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2005.v2.a1359

Abstract

The preliminary study using Landsat ETM+ to estimate the rice production in Regency of Tabanan, Bali Province was conducted. The objectives of this study were to know spectral characteristic of rice plant in three importance growth periods of rice, and to develop a model to identify the distribution of rice. Landsat ETM+ in two acquisition dates (March 21st, 2003 and May 24*, 2003) were used in this study. Characteristics of rice were analyzed using radiance value of Landsat ETM+ obtained from converting digital number of Landsat data. Multi-variable linear regression analysis was developed to classify the rice in its growth period. The result showed that the rice plant has different reflectance in seedling-development period, ear differentiation period and maturation period. It isexpressed by the radiance value of Landsat ETM+. However, spectral characteristic of rice in each band of Landsat ETM+ is similar to the green vegetations in general, except in blueband (Bl). Based on statistical analysis, the classification of rice in each its growth period can be classified.
ESTIMATION OF TUNA FISHING GROUND IN LOW LATITUDE REGION USING SEA SURFACE HEIGHT GRADIENT DERIVED FROM SATELLITE ALTIMETRY: APPLICATION TO NORTHEASTERN INDIAN OCEAN Susumu Kanno; Yasuo Furushima; I Wayan Nuarsa; I Ketut Swardika; Atsushi Ono
International Journal of Remote Sensing and Earth Sciences Vol. 3 (2006)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2006.v3.a1209

Abstract

In order to improve the method for prediction of tuna fishing ground, the modification of the analysis about satellite altimeter data was made as trial. In this study, we focused on the satellite altimeter, TOPEX/POSEIDON series, to improve the method of fishing ground prediction. Fishery data were supplied as hook rate by local fishing information around Indonesia and hearing infromation. The gradient of sea surface height is calculated between the neighbor grid which has the maximum gradient. Result showed that the fishery data with hook rate over 0.8 are grouped in a zone from 1.0E-06 of sea prediction of fishing ground quantitatively, but also reasonable accuracy as shown in the change in the standard deviation. This method can be utilized for the effective fishing plan with the resource protection and the economy in the fishing operation in near future.
Co-Authors Atsushi Ono Fumihiko Nishio I Gede Hendrawan I Ketut Swardika I Wayan Arthana I Wayan Nuarsa NUARSA I WAYAN Nyoman Dati Pertami Sandi Adnyana I Wayan YASUHIRO SUGIMORI Yasuo Furushima