Urban Dynamic Monitor

Products examples

The demonstration of continuous change monitoring provided by UD processor is selected for two urban case studies in East Asia (Hai Phong and Surabaya). These urban areas were chosen with regard to existence of reference data sets (PUMA World Bank activities), satellite images and knowledge that there is clear indication of dynamic urban sprawl to be monitored.

Monitoring time frame and available data: time series of archive data are available from 1987 (for Hai Phong) and 1994 (for Surabaya) to now. The development and testing is focused on 2000 – 2014 period, when there is overlap of Landsat 5/7/8 acquisitions and reference maps are available from PUMA project (World Bank).

In this section, selected examples provides first impression about look & feel of derived products as well as about regional differences in urban expansion.

Figure 3: Hai-Phong (left), Surabaya (right) - PUMA reference data

                                                                                              Hai Phong

Land cover/ land use changes

 

Figure 4: A new road in the southern part of the AOI (left: no auto-context, right: with auto-context).

Figure 5: A new industrial area located north of the Hai Phong city (left: no auto-context, right: with auto-context).

Land Accounting System (LAS)

 

Figure 6: LAS 2000-2010 (left), 2010-2014 (right).

                                                                                                    Surabaya

Land cover/ land use changes

Figure 7: A new road in the middle of the AOI near the Mojokerto town 2000-2014 (left: no auto-context, right: with auto-context).

 

Figure 8: A new industrial area and expansion of the Juanda International Airport in the southeast part of the Surabaya 2000-2014 (left: no auto-context, right: with auto-context).

Figure 9: Continual monitoring land cover / land use changes (2010-2014).

Land Accounting System (LAS)

 

Figure 10: LAS 2000-2010 (left), 2010-2014 (right).

Metadata

Figure 11: Number of acquisitions (left), valid values (right) for Surabaya (2014).

Figure 12: Date of Landsat for Surabaya (2014). Definition of drought (April – October) and rainy (November – March) season is used for visualization.