ASIAN JOURNAL OF GEOINFORMATICS
ISSN: 1513-6728


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DEVELOPING INTEGRATED MODELLING AND MAPPING TECHNIQUES FOR CALCULATING PLASTIC LEAKAGE TO THE WATERWAY FOR THE NATIONAL ACTION PLAN Regular Paper

by Aprilia Nidia Rinasti*, Angsana Chaksan, Indradhi Faisal Ibrahim, Khin San Hlaing, Kavinda Gunasekara, Makoto Tsukiji, Ohnmar May Tin Hlaing, Thammarat Koottatep

Plastic leakage models are compiled to provide baseline data. The critical elements in this working phase are systematically delivering current management, assisting survey-based condition judgements, and holistic calculations in the spatial context. Leakage modelling incorporated survey results, material flow, and spatial analyses, including proximity and hydrological analyses and weighting calculations. Mapping included global-scale data in a socioeconomic context, optical and thematic remote ... Read more

VISUALIZATION OF PEDESTRIAN INTERACTION THROUGH ATTENTION-BASED PEDESTRIAN TRAJECTORY PREDICTION Regular Paper

by Wen-Xin Qiu*, Takashi Fuse

Analysis of pedestrian trajectory from observational data is an important approach to understanding microscopic pedestrian behaviors at the operation level. Based on the understanding, pedestrian simulation and trajectory prediction could facilitate pedestrian space development and pedestrian safety study. The studies can be categorized as conventional approaches and deep learning approaches. The conventional approaches model pedestrian behaviors based on known features, such as avoiding collisi ... Read more

MAPPING INTERTIDAL ZONE EXTENTS AND SEASONAL VARIATIONS IN COASTAL AREAS OF PALAWAN USING SENTINEL-2 DERIVED BATHYMETRY Regular Paper

by Amihan Manuel*, Ryan Tan, Rakesh Kumar Singh, Soo Chin Liew

Intertidal zones are coastal wetland regions that support multiple ecosystem services and are significant carbon reservoirs. With the loss of intertidal extents worldwide over the past decades due to global sea level rise and anthropogenic factors, it is critical to map these areas to monitor any further losses and subsequent changes in tidal habitats. Being one of the most temporally and spatially variable marine habitats affected by diurnal tides, traditional survey methods can be quite diffic ... Read more

ASSESSMENT OF ORBITAL INTERPOLATION METHODS FOR ACCURATE BASELINE ESTIMATION IN INSAR APPLICATIONS Regular Paper

by Tsung-Han Wen*, Tee-Ann Teo, K.H. HSU, M.C. WU, Y.S. LEE

Interferometric synthetic aperture radar (InSAR) is a technique to measure ground deformation and topographic changes with high precision. Accurate estimating of the baseline between two orbits, which refers to the satellite's relative position in space during radar image acquisition, is crucial for obtaining reliable InSAR measurements. However, the discrete orbital trajectory of the satellite requires interpolation to obtain the position and velocity at arbitrary times. This research investiga ... Read more

BACKSCATTER ANALYSIS USING MULTI-TEMPORAL SENTINEL 1A DATA FOR MONITORING RAINFED AND IRRIGATED RICE ECOSYSTEMS Regular Paper

by Jean Rochielle Flores Mirandilla*, Mary Rose Mabalay, Pristine Mabalot, Megumi Yamashita, Mitsunori Yoshimura

Rice is a significant staple food crop worldwide, with over half of the global population relying on it for sustenance. In 2016, it fed 4 billion people, which is 56% of the world's population. Rice is grown under different planting conditions and methods, leading to its diverse ecosystem. The rice ecosystem can be classified into four major types: irrigated, rainfed, upland, and flood-prone (IRRI, 1993). Accurate and reliable information on these diverse rice productions is crucial for monitori ... Read more

INVESTIGATION OF CORRELATION BETWEEN SELF-CALIBRATION PARAMETERS OF TERRESTRIAL LASER SCANNER (TLS) SCANNING (TLS) Regular Paper

by Mansoor Sabzali*, Lloyd Pilgrim

To determine the robust self-calibration approach for Terrestrial Laser Scanner (TLS), the profound knowledge of Geodetic Network Design and Photogrammetry is required. For any photogrammetric tasks, three main predefined criteria - precision, correlation, and uncertainty of parameters - play more vital roles than other criteria. Geodetic network design is composed of four interrelated design orders: zero, first, second and third order of design to fulfil the mentioned criteria. Zero order desig ... Read more

National scale seagrass mapping in Vietnam from 1985 to 2019 using Landsat images Regular Paper

by Xuan Truong Trinh*, Wataru Takeuchi

Despite their ecological importance, seagrass beds in Vietnam have been subject to rapid decline due to coastal development. While there have been attempts to monitor seagrass beds at individual sites in Vietnam in the past, these studies have been limited in their ability to provide a comprehensive, spatially explicit, and temporally consistent understanding of the extent and distribution of these habitats across the entire nation. To address this issue, the research utilized Landsat imagery sp ... Read more

Application of deep learning model in brick kiln information extraction Regular Paper

by Anam Sabir*, Anil Kumar, Prakash Chauhan

Developing Asian nations such as India use clay bricks as basic building blocks for construction purposes. The process of firing of bricks leads to generation of exhaust gases which in turn degrade air quality and have considerable adverse effect on the flora and fauna in the vicinity. The area in north of India, especially surrounding national capital New Delhi, is highly polluted and has an abundance of brick kilns which further worsens the situation. Thus, keeping a record of brick kilns in a ... Read more

OilseedcropNet: Discriminating edible oilseed crops using PlanetScope temporal dataset Regular Paper

by Saloni Awaghade, Anil Kumar*, Uttara Singh, Sunil Tiwari

Objective of this research work was to evaluate the significance of spectral bands at different stages of crop growth while mapping oilseed crops. Study area considered was in the surroundings of Merta, Nagaur, Rajasthan, India. The target oilseed crops for the study were Mustard and Taramira. To handle spectral overlap between these crops, temporal MASVI2 index from PlanetScope data were generated. Optimum number of temporal dates was selected from separability analysis using a temporal indices ... 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

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

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