REMOTE-SENSING DATA ANALYSIS FOR PLANTATION INDUSTRY

REMOTE-SENSING DATA ANALYSIS FOR PLANTATION INDUSTRY

During the last decades, the remote-sensing technology has been acquiring a growing interest for environmental monitoring and management, thanks to the repetitive geographical-area coverage it provides. Thanks to the increasing number of missions devoted to putting Earth Observation satellites in orbit and to the corresponding growing availability of extensive imagery, remote-sensing presents huge potentialities for environmental applications on global, regional, and local scales. However, an effective exploitation of such potentialities calls for the development of accurate analysis procedures, able to extract from the available data the information required by the end user.

This training be  focuses on specific applications of imagery and interpretation for the Plantation and  agribusiness industry. In particular this training  will delve into the use of remote sensing in Land acquisition, crop management and plantation mapping.

Outline :

1.    Typologies and characteristics of remote-sensing data

2.    Pattern recognition techniques for remote sensing

3.    Basic Principal of  Vegetation applications of Remote Sensing

·                General principles for vegetation recognition

·                Remote Sensing for ecology, conservation and forestry

4.    Land Acquisition

·                Landsat

·                SPOTMaps

5.        Crop Management

·                NDVI utilising high resolution satellite imagery

·                Road and track mapping

·                Health determination

·                Harvesting analysis

6.        Plantation Mapping

·                Boundary Mapping

·                Tree counting

·                Crown size determination

·                Species identification

Participants :

This training is open to the Public Participants, or employees of the Company at the department: planning, project organization / institution, mapping, natural resource management / forest / environment, education, economics, law, journalism, mining, Hospitals, Government Agencies Regency / City and provinces, especially those working in accordance with the training materials