期刊论文、会议论文

Tao, Jianbin

英文

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

2153-6996

2016

2016-November

2826-2829

36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

IEEE International Symposium on Geoscience and Remote Sensing IGARSS

JUL 10-15, 2016

Beijing, PEOPLES R CHINA

[Tao, Jianbin;Wang, Yu;Chen, Ruiqing] Cent China Normal Univ, Sch Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.^[Kong, Xiangbing] Yellow River Inst Hydraul Res, Key Lab Loess Plateau Soil Eros & Water Loss Proc, Minist Water Resources, Zhengzhou 450003, Henan, Peoples R China.

Inst Elect & Elect Engineers, Inst Elect & Elect Engineers, Geoscience & Remote Sensing Soc, NSSC

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-3332-4

10.1109/IGARSS.2016.7729730

open research fund of Key Laboratory of Geographic Conditions Monitoring, National Administration of Surveying, Mapping and Geoinformation, P.R.China [2014NGCM04]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61501200]; Technology Development Funds for Yellow River Institute of Hydraulic Research [201301]

本校为第一且通讯机构

In this research we presented a novel method to address the issue of urbanization process from time-series MODIS products. By employing a metrics, a phenological parameter extracted from time-series MODIS data and the advantages of MODIS data with high temporal resolution and intermediate spatial resolution, a remote sensing based model for mapping urban dynamics in Wuhan city was built through integration with Landsat images and land-cover data. First, a phenological parameter, amplitude was derived from time-series MODIS EVI data. Next, linear regression was performed on the time-series ampl...