YangXuChenEtAl2021
Référence
Yang, G., Xu, R., Chen, Y., Wu, Z., Du, Y., Liu, S., Qu, Z., Guo, K., Peng, C., Chang, J., Ge, Y. (2021) Identifying the greenhouses by Google Earth Engine to promote the reuse of fragmented land in urban fringe. Sustainable Cities and Society, 67. (Scopus )
Résumé
A challenge in urbanization is how to improve the usage of temporary fragmented land, alleviate land degradation and ensure food self-sufficiency. The greenhouses for cultivation have the potential to utilize the fragmented lands, yet there are little known of their spatial information. This study developed a framework to visually identify greenhouses and mapped the spatial pattern through the Google Earth Engine. Based on the investigation of 28,700 plots in three cities in China, it has found that: (1) the greenhouses distribution peaked at 1−2 km outside the built-up area; (2) more than 60 % of the greenhouses are less than 0.5 ha and the area increase with the distance from city center, which enabled the greenhouses to adapt to the fragmented lands; (3) the economic returns (average 2,400 yuan ha−1 yr−1) were much higher than the environmental impacts related to land degradation (500 yuan ha−1 yr−1); and (4) the economic returns provided by the greenhouses near urban fringes were higher than those in the rural, indicating the economic incentives and feasibility of greenhouse cultivation in urban fringes. This study will help decision-makers to form more effective strategies for utilizing temporary fragmented and degraded land to contribute to sustainable development of cities. © 2021 Elsevier Ltd
Format EndNote
Vous pouvez importer cette référence dans EndNote.
Format BibTeX-CSV
Vous pouvez importer cette référence en format BibTeX-CSV.
Format BibTeX
Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .
@ARTICLE { YangXuChenEtAl2021,
AUTHOR = { Yang, G. and Xu, R. and Chen, Y. and Wu, Z. and Du, Y. and Liu, S. and Qu, Z. and Guo, K. and Peng, C. and Chang, J. and Ge, Y. },
JOURNAL = { Sustainable Cities and Society },
TITLE = { Identifying the greenhouses by Google Earth Engine to promote the reuse of fragmented land in urban fringe },
YEAR = { 2021 },
NOTE = { cited By 0 },
VOLUME = { 67 },
ABSTRACT = { A challenge in urbanization is how to improve the usage of temporary fragmented land, alleviate land degradation and ensure food self-sufficiency. The greenhouses for cultivation have the potential to utilize the fragmented lands, yet there are little known of their spatial information. This study developed a framework to visually identify greenhouses and mapped the spatial pattern through the Google Earth Engine. Based on the investigation of 28,700 plots in three cities in China, it has found that: (1) the greenhouses distribution peaked at 1−2 km outside the built-up area; (2) more than 60 % of the greenhouses are less than 0.5 ha and the area increase with the distance from city center, which enabled the greenhouses to adapt to the fragmented lands; (3) the economic returns (average 2,400 yuan ha−1 yr−1) were much higher than the environmental impacts related to land degradation (500 yuan ha−1 yr−1); and (4) the economic returns provided by the greenhouses near urban fringes were higher than those in the rural, indicating the economic incentives and feasibility of greenhouse cultivation in urban fringes. This study will help decision-makers to form more effective strategies for utilizing temporary fragmented and degraded land to contribute to sustainable development of cities. © 2021 Elsevier Ltd },
AFFILIATION = { College of Life Sciences, Zhejiang University, Hangzhou, 310058, China; Institut des Sciences de L'Environnement, Département des Sciences Biologiques, Université du Quebec à Montréal, Montréal, QC, Canada },
ART_NUMBER = { 102743 },
AUTHOR_KEYWORDS = { City component; Land fragmentation; Urban and peri-urban agriculture; Urban fringe },
DOCUMENT_TYPE = { Article },
DOI = { 10.1016/j.scs.2021.102743 },
SOURCE = { Scopus },
URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100002263&doi=10.1016%2fj.scs.2021.102743&partnerID=40&md5=f0b526a580667f2800f13d6e93de21ce },
}