TY - GEN
T1 - Analysis for the spatial and temporal patterns of plasticulture in Shandong province, China with remotely sensed data
AU - Yang, Dedi
AU - Sun, Sirui
AU - Chen, Jin
AU - Liu, Xinbo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/26
Y1 - 2016/9/26
N2 - Plasticulture development contributes largely to the local environment stress [1-3]. Therefore, accurate information about plasticulture area and development is of great importance for better monitoring and planning of their uses, thus alleviating the adverse environmental impacts, however, it has not drawn enough attention. In this study, we reconstructed the spatial and temporal patterns of plasticulture across Shandong province, China for the time period of 2000-2015, by using the Landsat TM data at a spatial resolution of 30m. Our estimate indicates that the plasticulture area in Shandong, experienced a large-scale expansion during 2000-2015, and hitherto has reached a scale of 156,900 hectare (ha). The spatial distribution of plasticulture is uneven across Shandong province, mainly distributed in Weifang, Liaocheng and Heze districts, locating in the flat areas with abundant water resource.
AB - Plasticulture development contributes largely to the local environment stress [1-3]. Therefore, accurate information about plasticulture area and development is of great importance for better monitoring and planning of their uses, thus alleviating the adverse environmental impacts, however, it has not drawn enough attention. In this study, we reconstructed the spatial and temporal patterns of plasticulture across Shandong province, China for the time period of 2000-2015, by using the Landsat TM data at a spatial resolution of 30m. Our estimate indicates that the plasticulture area in Shandong, experienced a large-scale expansion during 2000-2015, and hitherto has reached a scale of 156,900 hectare (ha). The spatial distribution of plasticulture is uneven across Shandong province, mainly distributed in Weifang, Liaocheng and Heze districts, locating in the flat areas with abundant water resource.
KW - local environment stress
KW - Plasticulture
KW - remote sensing
KW - spatial and temporal patterns
UR - http://www.scopus.com/inward/record.url?scp=84994078694&partnerID=8YFLogxK
U2 - 10.1109/Agro-Geoinformatics.2016.7577663
DO - 10.1109/Agro-Geoinformatics.2016.7577663
M3 - Conference contribution
AN - SCOPUS:84994078694
T3 - 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
BT - 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
Y2 - 18 July 2016 through 20 July 2016
ER -