Geospatial Application of Open Geospatial Data Analysis for Land Use-Change Detection-A Case Study from Japan

Yessy Arvelyna; Pegah Hashemvand Khiabani; Remi Chandran; Melisa Pesoa; Ryo Michishita; Akira Mukaida; Walter Timo de Vries

doi:10.1201/9781003349518-21

Geospatial Application of Open Geospatial Data Analysis for Land Use-Change Detection-A Case Study from Japan

Yessy Arvelyna, Pegah Hashemvand Khiabani, Remi Chandran, Melisa Pesoa, Ryo Michishita, Akira Mukaida, Walter Timo de Vries

Chair of Land Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Depopulation followed by empty households and vacant land are a major concern for the vitality of Japanese cities and urban households. In order to identify a solution, it is important to understand the land use change and the causes behind the change. In this chapter, we outline a new methodology using open geospatial data analysis such as LandTrendr and in combination with various tools within the Google Earth Engine (GEE) to outline change during a course of time. The historical statistical data from the city office will be used to back up our findings. The results are then compared with other similar approaches that are used in conventional studies. Based on the results of the comparative analysis, we outline how open geospatial data platforms can be a useful resource for understanding the vitality of a region.

Original language	English
Title of host publication	Geospatial Science for Smart Land Management
Subtitle of host publication	An Asian Context
Publisher	CRC Press
Pages	247-296
Number of pages	50
ISBN (Electronic)	9781000996456
ISBN (Print)	9781032393896
DOIs	https://doi.org/10.1201/9781003349518-21
State	Published - 1 Jan 2023

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abstract = "Depopulation followed by empty households and vacant land are a major concern for the vitality of Japanese cities and urban households. In order to identify a solution, it is important to understand the land use change and the causes behind the change. In this chapter, we outline a new methodology using open geospatial data analysis such as LandTrendr and in combination with various tools within the Google Earth Engine (GEE) to outline change during a course of time. The historical statistical data from the city office will be used to back up our findings. The results are then compared with other similar approaches that are used in conventional studies. Based on the results of the comparative analysis, we outline how open geospatial data platforms can be a useful resource for understanding the vitality of a region.",

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AU - Arvelyna, Yessy

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AU - Chandran, Remi

AU - Pesoa, Melisa

AU - Michishita, Ryo

AU - Mukaida, Akira

AU - de Vries, Walter Timo

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Geospatial Application of Open Geospatial Data Analysis for Land Use-Change Detection-A Case Study from Japan

Abstract

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