ESTIMATING THE AMOUNT OF SHIP RECYCLING ACTIVITY USING REMOTE SENSING APPLICATION

2016 ◽

Vol XLI-B8 ◽

pp. 1195-1200

Author(s):

M. Watagawa ◽

T. Shinoda ◽

K. Hasegawa

Keyword(s):

Remote Sensing ◽

Satellite Imagery ◽

Weather Conditions ◽

Monitoring Methods ◽

Economic Activities ◽

Remote Sensing Application ◽

Ship Breaking ◽

Ship Recycling ◽

Sensing Application ◽

Sar Imagery

The Advanced Land Observing Satellite (ALOS) was launched for earth observation and there are more than 6 million scenes of archives including coastal areas during period of five years. The wealth of satellite imagery is noticeable for investigating monitoring methods such as ship detection in wide ocean area. Especially, it is useful way to estimate past behaviour from satellite imagery compared to reference data. We collected satellite imagery and analysis breaking process in major ship breaking yards between year 2009 and 2011. Comparing the number of recycling ships by satellite imagery to the world statistics is in good agreement. In this study, Remote Sensing Application has been discussed in order to assess the potential to be used for economic activities such as ship recycling in wide coastal area. It was used to evaluate the performance of ship recycling monitoring by Satellite imagery. Additionally, an approach for recognizing ships by SAR imagery regardless of weather conditions is presented.

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Remote Sensing Application in Surveying Statewide Asphalt Pavement Aggregate Stockpile Inventory

10.20944/preprints202012.0330.v1 ◽

2020 ◽

Author(s):

Milad Zokaei Ashtiani ◽

Steve Muench ◽

David Shean

Keyword(s):

Remote Sensing ◽

Satellite Imagery ◽

Asphalt Pavement ◽

Washington State ◽

Lab Experiment ◽

Reclaimed Asphalt ◽

Remote Sensing Application ◽

Simplifying Assumptions ◽

Sensing Application ◽

Material Transportation

This study introduces a remote sensing application using satellite imagery to survey a network-scale aggregate stockpile inventory. First, a real scale aggregate quarry site was surveyed using a small Unmanned Aerial Vehicle (sUAV) to produce digital terrain models that enabled analysis of aggregate pile geometry. Second, a lab experiment was designed and performed to validate the applicability of close-range Structure from Motion (SfM) photogrammetry for measuring aggregate piles' physical properties such as volume and density. The other part of the lab experiment delved into direct measurement of aggregate density under varying compaction efforts. These experimental results, in conjunction with some simplifying assumptions, enabled the calculation of aggregate stockpile volumes and estimated weights from satellite imagery. We estimated that an inventory of 4.4 and 1.1 million metric tons of crushed aggregates and Reclaimed Asphalt Pavement (RAP), respectively, stockpiled in Washington State for asphalt production in 2017. The merit of producing such database was further showcased in an example on the economic and environmental impacts of material transportation. We approximated that hauling aggregates from quarry plants to construction sites within Washington State incurs a cost of about $50 thousand to over $4 million, consumes about 0.25 to 20 TJ of energy, and emits 20 to over 1,500 tons of CO2-eq per asphalt plant annually.

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Remote Sensing Application in Surveying Statewide Asphalt Pavement Aggregate Stockpile Inventory

10.31219/osf.io/bxa5z ◽

2020 ◽

Author(s):

Milad Zokaei Ashtiani

Keyword(s):

Remote Sensing ◽

Satellite Imagery ◽

Asphalt Pavement ◽

Washington State ◽

Lab Experiment ◽

Reclaimed Asphalt ◽

Remote Sensing Application ◽

Simplifying Assumptions ◽

Sensing Application ◽

Material Transportation

This study introduces a remote sensing application using satellite imagery to survey a network-scale aggregate stockpile inventory. First, a real scale aggregate quarry site was surveyed using a small Unmanned Aerial Vehicle (sUAV) to produce digital terrain models that enabled analysis of aggregate pile geometry. Second, a lab experiment was designed and performed to validate the applicability of close-range Structure from Motion (SfM) photogrammetry for measuring aggregate piles' physical properties such as volume and density. The other part of the lab experiment delved into direct measurement of aggregate density under varying compaction efforts. These experimental results, in conjunction with some simplifying assumptions, enabled the calculation of aggregate stockpile volumes and estimated weights from satellite imagery. We estimated that an inventory of 4.4 and 1.1 million metric tons of crushed aggregates and Reclaimed Asphalt Pavement (RAP), respectively, stockpiled in Washington State for asphalt production in 2017. The merit of producing such database was further showcased in an example on the economic and environmental impacts of material transportation. We approximated that hauling aggregates from quarry plants to construction sites within Washington State incurs a cost of about $50 thousand to over $4 million, consumes about 0.25 to 20 TJ of energy, and emits 20 to over 1,500 tons of CO2-eq per asphalt plant annually.

Download Full-text