地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (7): 915-923.doi: 10.3724/SP.J.1047.2017.00915
陈工1(), 李琦1,2,*(
), 金玲艳1, 梁贺明1, 莫玉琴1
收稿日期:
2016-09-28
修回日期:
2017-04-14
出版日期:
2017-07-10
发布日期:
2017-07-10
通讯作者:
李琦
E-mail:gong.chen@pku.edu.cn;qi.lee009@gmail.com
作者简介:
作者简介:陈 工(1989-),男,湖北荆门人,博士生,研究方向为遥感、GIS和人工智能。E-mail:
基金资助:
CHEN Gong1(), LI Qi1,2,*(
), JIN Lingyan1, LIANG Heming1, Hamed Karimian1, MO Yuqin1
Received:
2016-09-28
Revised:
2017-04-14
Online:
2017-07-10
Published:
2017-07-10
Contact:
LI Qi
E-mail:gong.chen@pku.edu.cn;qi.lee009@gmail.com
摘要:
区域作为人类、自然、社会共同作用和互相影响的复杂系统,对区域进行生态量化建模与模拟仿真,是实现区域可持续发展战略的关键。传统机器学习方法对区域生态系统建模取得了一定的成果,但难以确定学习特征和实现时空模拟。深度学习不需事先确定训练特征,具有优异的特征学习能力,能够提高模型预测精度,因此利用深度学习进行建模具有显著优势。本文使用植被净初级生产力(NPP)、气溶胶光学厚度(AOD)和人口格网数据,充分利用深度学习的优点,采用最优深度神经网络时空模拟,得到了河南省2007-2014年3 km分辨率的生态赤字空间分布图和河南省2015-2020年的生态赤字时间预测结果并进行分析,为区域生态的科学管理和建设供科学依据和参考。
陈工, 李琦, 金玲艳, 梁贺明, 莫玉琴. 基于深度学习的区域生态安全时空模拟与预测[J]. 地球信息科学学报, 2017, 19(7): 915-923.DOI:10.3724/SP.J.1047.2017.00915
CHEN Gong,LI Qi,JIN Lingyan,LIANG Heming,Hamed Karimian,MO Yuqin. Spatio-temporal Simulation and Prediction of Regional Ecological Security Based on Deep Learning[J]. Journal of Geo-information Science, 2017, 19(7): 915-923.DOI:10.3724/SP.J.1047.2017.00915
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