by Kaniz Fatema, Md Rahedul Islam*, Miss Sukhi Khatun3

Brick kilns in Bangladesh significantly contribute to poor air quality due to their hazardous emissions, resulting in severe health impacts on local communities, contributing to climate change, and adversely affecting agriculturalproductivity. Theprimary aimof thisresearch wasto identify areaswith high brick kiln density and assess variations in pollution concentrations in and around these kilns. The methodology adopted both primary and secondary data collection, analysis, and repre ... Read more

by Dissanayaka Mudiyanselage Pavithra Sudeshika*, Yoshiyuki Imamura, Daisuke Harada, Shinji Egashira

The present study examines the impacts of land use change on rainfall-runoff, and sediment transportation together with occurrences of landslides in the Kelani River Basin, using MODIS Global yearly land cover data, a physically based distributed rainfall-sediment-runoff model, and a sediment erodibility/ landslide index model. It was realized that the predominant land-use types within the basin were identified as woody savannas, forest, cropland, and built-up areas, and the forest area decrease ... Read more

by Yoshie Ishii*, Junichi Susaki, Tsuguki Kinoshita, Koki Iwao

Land cover maps provide critical insights for a variety of applications, including monitoring natural disasters and hazards, assessing climate change impacts, and forecasting future environmental conditions. The accuracy of these maps significantly depends on the quality of the training data used in their generation. In addition, generating validation data is essential for creating land cover classification maps to demonstrate the accuracy of the maps. However, acquiring high-quality training an ... Read more

by Yasumin Siriprathan, Junichi Susaki*, Yoshie Ishii, Tetsuharu Oba

Man-made structure extraction is essential for urban planning, environmental monitoring, and disaster management. Optical sensors often face limitations due to weather and lighting conditions; in comparison, synthetic aperture radar (SAR) provides consistent imaging in all environments. This study leveraged Polarimetric SAR (PolSAR) data and advanced scattering decomposition techniques to enhance the extraction of man-made structures. The methodology involved the collection of microwave scatteri ... Read more

by Kojiro Kazama, Junichi Susaki*, Yoshie Ishii

Automated construction sites require rapid three-dimensional mapping of crane surroundings. Three-dimensional maps are generated using disparity images from a monocular camera mounted on a crane boom. Existing methods use homography matrices repeatedly to align disparity images, which accumulates errors and causes a misalignment in the origin position. In this study, a new alignment method was developed to address this challenge using the features of the crane orbit, such as the fixed base, boom ... Read more

by Ryunosuke Ishiguro, Junichi Susaki*, Yoshie Ishii

In this study, we developed a method to create a dense three-dimensional (3D) map in real time using a stereo camera mounted on a drone and oriented features from accelerated segment test (FAST) and rotated binary robust independent elementary features (BRIEF) simultaneous localization and mapping (ORB SLAM), which simultaneously estimates self-location and generates sparse 3D point clouds. Sparse point clouds from ORB SLAM are insufficient for automating crane operations, necessitating conversi ... Read more

by Ochirkhuyag Lkhamjav*, Mandakh Nyamtseren

Dust storms are among the globally observed natural hazards with significant environmental, health, social, and economic impacts. These storms not only degrade air quality but also carry fine particles and heavy metals that pose serious health risks. In Mongolia, a large portion of the land is arid and semi-arid, making dust storms a frequent seasonal phenomenon with considerable negative effects on the environment and society. Identifying the sources of dust storms is a critical step for effect ... Read more

by Ahnaf Tazwar Torsa*, Most. Mokarroma Sumi, Dr. Md. Rahedul Islam

St. Martin Island has changed over the past years, with booming tourism replacing agricultural land and altering landscapes. This study investigates the land use and land cover changes on the island, spanning the years from 2005 to 2023. Using Landsat 5, Landsat 8, and Sentinel 2 imagery alongside remote sensing and GIS technologies, landuse maps were generated for 2005, 2015, and 2023. Emphasizing the accuracy assessment and validation processes, the study reveals substantial transformations in ... Read more

by Takahiro Hara*, Tetsuharu Oba, Junichi Susaki, Yoshie Ishii

This paper investigates the relationship between railway systems and innovation by analyzing Japanese patent data from 1980 to 2019. It explores the impact of proximity to railway stations on innovation generation. As for methods, a microscopic approach from a station-central perspective is taken in addition to a macroscopic approach from a nationwide perspective under the hypothesis that a distance from the nearest station is related to patent application status. Results show that innovation is ... Read more

by Bilguunmaa Myagmardulam*, Kazuyoshi Takahashi

A canopy height model (CHM) is crucial for effective forest resource assessment, which requires accurate digital surface models (DSMs) during leaf-on periods. This study addresses the challenge of constructing comprehensive CHMs in regions such as Japan, where LiDAR data is predominantly collected in leaf-off seasons. We introduce a novel approach to estimate leaf-on DSMs using late fall LiDAR data, overcoming the limitations of the leaf-off conditions. Our method applies a spatial filtering op ... Read more

by Tomoka Togiya, Yusuke Kimura*, Tetsuharu Oba, Junichi Susaki

Overcrowding at popular sightseeing spots was a persistent issue prior to the onset of the COVID-19 pandemic. Understanding the behavior of tourists is crucial for mitigating this problem. In the digital age, tourists frequently share their travel experiences by posting photos online. These images and metadata offer insights into the “where” and “what” aspects of tourist interests. This study aims to illuminate the patterns of tourist interests and behavior based on their country of resi ... Read more

by Suhas M, Anil Kumar*

This interdisciplinary research integrates advanced technology, remote sensing, and AI to enhance precision farming in the Dungargarh Tehsil of Bikaner District, Rajasthan, India. The study focuses on two main objectives: groundnut crop classification (mapping) and the extraction of sowing information. Utilizing temporal optical data preprocessing, optimized temporal indices, and a contextual fuzzy model, the Modified Possibilistic c-Means (MPCM) algorithm with both conventional mean and Individ ... Read more

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

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

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

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

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

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