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