Tasuku Tanaka

Tasuku Tanaka
Yamaguchi University · Graduate School of Science and Engineering

About

7
Publications
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195
Citations
Introduction
Skills and Expertise
Remote Sensing
Satellite Data

Publications

Publications (7)
Fig. 1. Study area and topography. Three red boxes represent north (Box...
Fig. 2. Seasonally (3-monthly) averaged 17-year (1998−2014) TRMM 3B42...
Fig. 3. Hovmöller diagrams for 3-monthly averaged diurnal cycles over...
Fig. 4. Hovmöller diagrams for 3-monthly 5-year (July 2005−June 2010)...
Analysis of Spatial and Seasonal Differences in the Diurnal Rainfall Cycle over Sumatera Revealed by 17-Year TRMM 3B42 Dataset
Article
Full-text available
  • Sep 2019
We analyzed 3-hourly Tropical Rainfall Measuring Mission multi-satellite analysis (TRMM 3B42) version-7 data for the 17-year period 1998-2014 to investigate seasonal and geographic characteristics of the diurnal rainfall cycle (DRC) over Sumatera, Indonesia. Dividing Sumatera into north, central, and south regions approximately perpendicular to the...
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Table 1 . The full matrix of null, positive, and high catches data. BE,...
Figure 3. Data illustration. SST, sea surface temperature.  
Table 3 . Regression analysis results.
Table 4 . Contingency table.
+3 Figure 7. Average number of bigeye tuna SST.  
Utilization of Scatterplot Smoothers to Understand the Environmental Preference of Bigeye Tuna in the Southern Waters off Java-Bali: Satellite Remote Sensing Approach
Article
Full-text available
  • Mar 2017
The southern waters off Java-Bali were recognized as spawning and potential fishing ground for tuna species. However, few studies have been conducted on this area. In this paper, the environmental preference of bigeye tuna was assessed based on catch data and three main environmental satellite data; namely; sea surface temperature (SST), sea surfac...
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The influence of Polarization Features and Seasonal Conditions on Deforestation Detection Mapping in Indonesian Tropical Forest Using Multi-Temporal ALOS-PALSAR Data
Poster
  • Nov 2015
The purpose of this study were examined the effect of SAR polarization on accuracy of deforestation mapping and seasonal changing on radar backscattering in Indonesian tropical forest. The accuracy rate of deforestation detection mapping using HV polarization is giving better results than HH polarization. The seasonal changing due to rainfall event...
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Fig. 1. The study area in the Southern Waters off Java–Bali. This area...
Fig. 2. Frequency of fishing days in relation to (a) SST, (b) SSC, (c)...
Fig. 5. Effect of three oceanographic variables on the number of bigeye...
Fig. 6. A Scatter plot between the observed values and GAM model...
+2 Fig. 7. The spatial distribution of SSC and bigeye tuna catches in...
Characterization of bigeye tuna habitat in the Southern Waters off Java–Bali using remote sensing data
Article
Full-text available
  • Jan 2015
Bigeye tuna (Thunnus obesus) habitat was investigated based on catch data and environmental satellite data, such as sea surface temperature (SST), sea surface chlorophyll (SSC), and sea surface height deviation (SSHD) data in the Southern Waters off Java and Bali. First, we obtained daily fish catch data and monthly satellite data for SST, SSC, and...
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Figure 2. Distribution of annual averaged rainfall over...
Figure 3. Total mean of annual rainfall values over land and sea in...
Figure 4. Monthly climatological mean of rainfall derived from the TRMM...
Figure 9. Spatial distribution of peak amplitude phases (months)...
Indonesian rainfall variability observation using TRMM multi-satellite data
Article
Full-text available
  • Nov 2013
It is important to understand the characteristics of Indonesian rainfall within the world’s climate system. The large rainfall in the Indonesian archipelago plays an essential role as a central atmospheric heat source of the Earth’s climate system throughout the year. Monthly rainfall satellite data, measured by the Tropical Rainfall Measuring Miss...
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Table 1 . Coverage of Rice Field Area and spatial agreement between...
Figure 2. Average EVI2 value of several land use in a year 
Figure 3. Rice field distribution derived from MODIS. District polygon...
Figure 4. Pixel by pixel comparison of rice field distribution. Green...
Figure 5. Rice field distribution by type of rice field. Green, yellow,...
Multitemporal MODIS Data to Mapping Rice Field Distribution in Bali Province of Indonesia Based on the Temporal Dynamic Characteristics of the Rice Plant
Article
Full-text available
  • Feb 2012
Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite data has been widely employed for many applications. It has fine temporal, spectral and spatial resolution. This feature can be used for monitoring earth condition continuously, such as the rice field distribution. Rice fields can be known by detecting the rice plant in that area. Enha...
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