Baseline Study to Estimate the Amount of Disaster Waste Using RapidEye Data

Shirai, Hikaru; Kageyama, Yoichi; Ohuchi, Azuma; Nishida, Makoto

doi:10.12792/jiiae.4.184

Cited by 2 publications

(5 citation statements)

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“…In Ref. , we concluded that a building coverage of 40% was a reasonable result in comparison with actual conditions. In this letter, to estimate the amount of disaster waste, the disaster building numbers results are obtained using a building coverage of 40% (Table ).…”

Section: Proposed Methodsmentioning

confidence: 81%

“…Figure shows a flowchart of the proposed method. The methods for land cover classification and estimating disaster building numbers were previously proposed in Refs . In this letter, we propose a method for estimating the amount of disaster waste using the disaster building number estimation results.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The method for estimating the amount of disaster waste proposed in Refs consists of two steps, as shown in the green box in Fig. .…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Therefore, with RapidEye data, which has a higher ground resolution than THEOS data, we proposed methods to extract detailed information buried in the mixel and classify land cover information . Moreover, we proposed methods of estimating disaster building domain and disaster building numbers . However, the amount of disaster waste has not yet been estimated.…”

Section: Introductionmentioning

confidence: 99%

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Estimating the amount of disaster waste using RapidEye data

Shirai

Kageyama

Ohuchi³

et al. 2017

IEEJ Transactions Elec Engng

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Because estimating the amount of disaster waste will affect all subsequent restoration processing, it is necessary to quickly estimate the quantity and extent of disaster waste. This estimation can be accomplished using remote sensing data with the development of a method for extracting detailed information buried in a one‐pixel mixed class (‘mixel’). In a previous study, the use of RapidEye data observed during, before and after an earthquake, we proposed methods to extract detailed information buried in the mixel and classify land cover information. Moreover, we proposed methods of estimating disaster building domain and disaster building numbers. However, the amount of disaster waste has not yet been estimated. In this paper, we propose such a method using the results of estimating disaster building numbers. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Proposed Methodsmentioning

confidence: 81%

Section: Proposed Methodsmentioning

confidence: 99%

“…The method for estimating the amount of disaster waste proposed in Refs consists of two steps, as shown in the green box in Fig. .…”

Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimating the amount of disaster waste using RapidEye data

Shirai

Kageyama

Ohuchi³

et al. 2017

IEEJ Transactions Elec Engng

Self Cite

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“…Based on related literature [3,5,9,16,17] and the questionnaire data analysis, a procedural method has been suggested for managing the post-disaster waste in Iraq; Figure 3 shows the flow chart of the suggested procedure. (Suggested forms can be found in Appendix I.…”

Section: Suggested Procedural Methodsmentioning

confidence: 99%

A Suggestion of a Procedural Method for the Management of Post-War Waste

Noaman

Al-Saffar

2019

Civ Eng J

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The increasing number of disasters (natural or man-made) worldwide has made post-disaster waste management an essential aspect of disaster recovery. This is obvious in Iraq where the Iraqi government faces an important challenge regarding the events of 2014 (ISIS gang conflict) and the accumulation of huge volumes of construction and demolition (C&D) waste resulting from military operations and terrorist destruction. Field surveys by the specialist teams estimated the amount of waste at about 10 million tons in the Nineveh governorate only, much of which comprises potentially useful materials that could be reused or recycled in the reconstruction process. This paper investigates the obstacles to the sustainable management of such waste in the Nineveh governorate. A pilot questionnaire survey of 76 experts working in the waste management sector was carried out to identify the obstacles to the sustainable management of accumulated waste in the Nineveh governorate. Data analysis was carried out using SPSS version 23.0. Based on the identified obstacles, a procedural method of managing post-war waste that accumulated in Iraq has been created. The paper illustrates several conclusions in the strategic, economic, social, and environmental sectors to address identified gaps in sustainable waste management in Iraq. It is hoped that this study’s results will support post-disaster sustainable development goals in Iraq.

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Baseline Study to Estimate the Amount of Disaster Waste Using RapidEye Data

Cited by 2 publications

References 0 publications

Estimating the amount of disaster waste using RapidEye data

Estimating the amount of disaster waste using RapidEye data

A Suggestion of a Procedural Method for the Management of Post-War Waste

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