Territorial Planning

High Resolution Mapping for Territorial Planning

DEIMOS Engenharia and Deimos Space UK have developed in the last years a suite of tools aimed at Land Use/Land Cover (LULC) mapping tool, feature extraction and LULC change detection.

 

These components provide a suite of tools ideal for institutions with territorial planning responsibilities that have a wide range of LULC mapping needs that can include generic baseline LULC maps or thematic maps for specific features (e.g. roads, roundabouts) and respective changes. They require the development of LULC, feature and LULC change maps based on several remote sensing sources, covering high and very high-resolution imagery, and with diverse classification schemes.

 

These tools made available through a web-based application where the user is able to customize the required steps:

1

Define the type of imagery to use

2

Define the classification scheme

3

Use existing or new training data

4

Compare classification algorithms

5

Visualize outputs in map, graph and teable forms

6

Edit output to correct classification errors

7

Rerun the classification

Quick Facts

GEOGRAPHICAL AREA

Local

DATA

The pilot focuses on high-resolution imagery data sets such as Landsat and Sentinel as well as very high satellite sensors such as Deimos-2 and Worldview. Additionally, training data for the classification algorithms is provided by open data stream such as the one provided by Openstreet.

CONTEXT

Satellite-based Land Use/Land Cover  (LULC) change maps using satellite imagery provides cost-effective and dynamic territorial data. Satellite imagery can be used to address the different requirements from territorial planning institutions, from producing baseline LULC maps at wider scales to detailed maps for specific LULC classes (e.g. road and roundabouts) and calculating the respective changes. Implementing the classification methods to achieve this can still be very cumbersome for non-remote sensing experts. This pilot aims to design an intuitive web-based interface that allows users to train, classify and analyse satellite-based LULC and LULC change map.

TARGET COMMUNITY

This pilot focuses on addressing the LULC mapping needs of territorial planning institutions. Case studies for the Lisbon and Dubai city regions are developed, following the requirements of relevant decision makers in those areas such as the Dubai Road Transport Authority.

EXPECTED OUTCOME

A web-based interface to generate customized high (10 to 30  meters) and very high resolution (1 to 4 meters) LULC, LULC change and feature detection maps in urban environments, covering all the required steps to perform this classification, from the training of the classification algorithm t the analysis of the output classification and change detection data.

RESULT ON GCI

Demonstration products will be available from the GCI.

CONSORTIUM PARTNERS

DME