Dragon
Description
|
Dragon 2 |
| Support Training of Young European Scientists Working Within the Framework of the Dragon Programme 2008 – 2010 |
| Contact |
Herman Eerens |
Start (End) Date |
01/01/2009 (31/01/2012) |
| Consortium |
- |
Project Coordination |
VITO |
| Website |
dragon2.esa.int (new window) |
Related Projects |
GLOBAM |
| Keywords |
crop monitoring, yield forecasting, acreage estimation,
North China Plain (NCP) |
Project Objectives
ESA, together with the National Remote Sensing Centre of China (NRSCC), an entity under the Ministry of Science and Technology (MOST) of the P.R. China, have cooperated in the field of Earth observation application development for more than 15 years. The DRAGON2 programme aims to promote the use of ESA and Chinese EO data for science and application development, to stimulate scientific exchange in EO science and application by the formation of joint Sino-European teams.
The specific objectives of this project is to carry out the crop acreage estimation on the North China Plain using the Chinese and TPM EO data.
Methodology
Practically, the crop mapping will be realized using following approaches:
- Ground truth and sampling method: a hardware system GVG combining the usage of GPS and Video developed by the Chinese institute will be used so that ground data collection can be realized in a consistent way.
- Sub-pixel classification of MODIS data in combination of CBERS-2B and LANDSAT TM: The approach will rely on the application of neural network algorithms and a well–distributed classification of high resolution imagery such as CBERS or LANDSAT TM for calibration of the networks.
- Classification of composite images of High resolution wide-FOV sensors, such as Chinese HJ-1A/B: The local farming knowledge from the local institute will be integrated as the a-priori probability during the classification.
- The accuracy assessment will be performed by comparing the aggregated estimates at the local administrative levels (county and/or district) with the local official statistics.
VITO Contribution
This research consolidates the approaches and methodologies developed previously using other EO data. The advantage of these proposed Chinese EO data relies principally on their availability and low cost. This enables a rapid mapping on a large cultivated area with a reasonable accuracy. The results could be further exploited in a perspective of an operational application.
Partner
The Institute of Remote Sensing Application, Chinese Academy of Science (China)
Illustration
Visualisation of the project set-up
Contact:
Herman Eerens
Tel. + 32 14 33 68 72
Fax + 32 14 32 27 95
Mobile + 32 477 41 62 02
Send a message to Herman Eerens
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