TY - JOUR
T1 - REMOTE SENSING AND GIS FOR FOOD BANKS
AU - Yagoub, M. M.
AU - Al Hosani, N.
AU - Alshehhi, A.
AU - Aldhanhani, S.
AU - Albedwawi, S.
N1 - Funding Information:
The authors are grateful to UAE University Research Affair for funding this research (Grant number 1958) under the Sustainable Development Goals (SDGs) Research Program. The views and conclusions are those of the authors and should not be taken as those of the sponsor. Mr. Shehab Majud is acknowledged for following up with the editing process
Publisher Copyright:
© Author(s) 2022.
PY - 2022/10/14
Y1 - 2022/10/14
N2 - Food banks play an important role in sustainability (saving food-reducing waste), economy, and social cohesion. Investment in food banks supports compassion, generosity, solidarity, and hospitality. The objective of this study is to demonstrate how remote sensing and geographic information system (GIS) could be used to address social and environmental problems such as food banks. In many cases data about socioeconomic is gathered using sample qualitative surveys/interviews and this lacks spatial reference. Moreover, even this data may not be available for researchers in the same way as in this study. Remote sensing was found as an effective tool and proxy to extract socioeconomic indicators such as size of building, distance between houses, streets width, and scarcity of trees/greenness (vegetative indicator). The indicators together with GIS multi-criteria and weighted overlay were used to find suitable food bank locations. The research aligns with the United Nations Sustainable Development Goals number 2, 11, and 12. Beneficiaries of this study may include charitable organizations, food producers/consumers (restaurants, hotels, individuals), and environmental departments (water, energy, waste). The methodology used in this study could be adopted by other researchers around the globe.
AB - Food banks play an important role in sustainability (saving food-reducing waste), economy, and social cohesion. Investment in food banks supports compassion, generosity, solidarity, and hospitality. The objective of this study is to demonstrate how remote sensing and geographic information system (GIS) could be used to address social and environmental problems such as food banks. In many cases data about socioeconomic is gathered using sample qualitative surveys/interviews and this lacks spatial reference. Moreover, even this data may not be available for researchers in the same way as in this study. Remote sensing was found as an effective tool and proxy to extract socioeconomic indicators such as size of building, distance between houses, streets width, and scarcity of trees/greenness (vegetative indicator). The indicators together with GIS multi-criteria and weighted overlay were used to find suitable food bank locations. The research aligns with the United Nations Sustainable Development Goals number 2, 11, and 12. Beneficiaries of this study may include charitable organizations, food producers/consumers (restaurants, hotels, individuals), and environmental departments (water, energy, waste). The methodology used in this study could be adopted by other researchers around the globe.
KW - Food Banks
KW - Food waste
KW - Geographic Information System (GIS)
KW - Remote Sensing
KW - UAE
UR - http://www.scopus.com/inward/record.url?scp=85140312312&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85140312312&partnerID=8YFLogxK
U2 - 10.5194/isprs-annals-X-4-W3-2022-293-2022
DO - 10.5194/isprs-annals-X-4-W3-2022-293-2022
M3 - Conference article
AN - SCOPUS:85140312312
SN - 2194-9042
VL - 10
SP - 293
EP - 299
JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
IS - 4/W3-2022
T2 - 7th International Conference on Smart Data and Smart Cities, SDSC 2022
Y2 - 19 October 2022 through 21 October 2022
ER -
