ASIAN JOURNAL OF GEOINFORMATICS
ISSN: 1513-6728


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Vegetation Growth Abnormality by NDVI’s Response to Precipitation in Mongolia and its Grassland, 2001 to 2020 Regular Paper

by YAN Guanyu*, TAKEUCHI Wataru

The sustainability of the natural environment is vital to Mongolia due to pastoralism. It is easy to observe the phenology of vegetation growth represented by NDVI but challenging to tell vegetation changes due to human interventions from rainfall fluctuations. This can be solved through NDVI's response to precipitation changes. We calculated the temporal Pearson Correlation Value between NDVI and Precipitation data in Mongolia from 2001 to 2020, emphasizing grassland changes with MODIS LULC. In ... Read more

Class Based Sensor Independent Indices and Training Parameter Approach in Fuzzy Machine Learning Model for Psyllium Husk, Medicinal Crop Mapping Regular Paper

by Anam Sabir, Anil Kumar*

The use of spectral indices is prevalent in remote sensing data processing for a variety of applications. However, the spectral bands considered to formulate conventional spectral indices may not be the most appropriate ones for a particular application. With the improvement in technology, the available spectral resolution has increased up to a large extent which can be explored to enhance a class much better way for specific class mapping. This study tests the performance of Modified Soil Adjus ... Read more

Mapping and Tracking Nighttime Fishing Activities within Japan EEZ using VIIRS Boat Detection Regular Paper

by Wataru Takeuchi*, Yiwei Huang

Nighttime fishing is one of the most efficient methods used in modern fisheries. About one quarter of Japanese annual sea surface fishery production is caught by fishing boats that use powerful light to attract fishes, based on their phototaxis. This study explored the potential application of the nighttime boat detection data, extracted from the Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) images, for monitoring fishing activities. Nightly boat detection data from 2016 t ... Read more

Geospatial Technology in Hypsometric Analysis of Mohand Anticline, Uttarakhand, India Regular Paper

by GAURAV SINGH*, J. DAS, A. K. SARAF, S. BORGOHAIN, S. S. BARAL

Remote sensing and GIS serve as significant tools for studying morphometric characteristics of watersheds. Hypsometric analysis being a parameter of it is defined as the relationship between the horizontal cross-sectional area of the watershed and its elevation. The present study emphasizes on Hypsometric analysis of Mohand Anticline, Uttarakhand, India using Digital Elevation Model (DEM). This study takes into account the Hypsometric curves of watersheds developed over actively deformed Mohand ... Read more

COMBINED SATELLITE OBSERVATION AND MODELING THE WAVES IN TROPICAL CYCLONES Regular Paper

by Maria Yurovskaya, Alexis Mouche, Alexey Mironov, Fabrice Collard, Betrand Chapron, Vladimir Kudryavtsev

A joint analysis of CFOSAT SWIM/SCAT and Sentinel-1 SAR data together with results of recently developed parametric model for rapid estimation of waves in tropical cyclones (TC) is presented. The satellite measurements were obtained over the Philippine Sea on October 29th, 2020, in TC Goni. The model for wave evolution inside TC is based on energy and momentum conservation laws. The coupled equations are written in their characteristic form to provide practical means to rapidly assess how the en ... Read more

ESTIMATING FIRE TEMPERATURE WITH SHORT-WAVE INFRARED BANDS OF HIGH RESOLUTION SATELLITES Regular Paper

by Soo Chin Liew*

This paper describes a novel technique of detecting daytime fires and estimating fire temperature and fire fractional area using the short-wave infrared (SWIR) bands of high resolution satellites such as Sentinel-2, Landsat-9 and WorldView-3. It is a great challenge to detect daytime fires due to the influence of solar reflected radiance. In our algorithm, the surface reflectance is modeled by a linear combination of a small number of reflectance basis functions. The algorithm could then retrie ... Read more

Earthquake Prediction with Meteorological Satellite Imagery Communications

by Shunji Murai*

Here in this paper video images of Japanese meteorological satellite “HIMAWARI” are used to develop a new method of earthquake prediction in which special cloud anomalies appear in advance of large earthquakes. The method is based on expert image interpretation system. 40 earthquakes larger than M6.0 which occurred between 2016 and 2020 in Japan are validated. The results show that 65.0% of the earthquakes larger than M6.0, 75.0% of earthquakes larger than M6.3, 88.9% of earthquakes larger t ... Read more

MEGA Earthquake Prediction in Asia using a Yearly Unit Periodicity Communications

by Shunji Murai*

The objective of this research is to develop earthquake prediction in Asia using the yearly unit cycle of past mega earthquakes for supporting clearly targeting preparedness against earthquake disaster. Hereinafter mega earthquake means large earthquakes causing human casualties. The method is based on newly developed multiple year interval analyses between combinations of past mega earthquakes in each region derived from historical records. In this paper the new method is named Yearly Unit Cycl ... Read more