Name
Title | ||
|---|---|---|
A Study Of Vegetation Phenology In The Analysis Of Urbanization Process Based On Time-Series Modis Data |
Abstract | ||
|---|---|---|
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 amplitude to figure out the trend of land-cover changing into built-up areas. Finally, the urbanization trend of urban cores in Wuhan was extracted and analyzed. Our study indicates that the proposed method can be efficiently applied for the monitoring of urban dynamics. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729730 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
urbanization, time-series MODIS data, phenological parameter | Urbanization,Vegetation,Satellite,Computer science,Remote sensing,Temporal resolution,Image resolution,Phenology,Linear regression | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianbin Tao | 1 | 0 | 1.01 |
| Xiangbing Kong | 2 | 0 | 1.35 |
| Yu Wang | 3 | 0 | 0.34 |
| Ruiqing Chen | 4 | 0 | 0.34 |