Jakarta, 19 August 2009
Rice is one of agricultural crops and constitutes major staple food for Asian countries, especially in Indonesia. The Indonesian organizations highly expect the application development of technology to provide information on agricultural crops quantitatively, instantaneously, and nondestructively over large areas, and also abilities to estimate paddy growth phase, cropping pattern, rice biophysical parameters, especially for monitoring/managing paddy fields to help address the food security problem.
Recently, Vice President of the Republic of Indonesia stated during National Coordinating Meeting event, that each year there is deviation in number and errors found relating to calculation of the inaccurate national food shortage, which are based on assumption, not on factual data. As a result, government policy is often erroneous. An example is the calculation of national rice production. This statement by the vice president should be a challenge for researchers to contribute in finding the solution for the national food security problem. The question is: there a technology able to solve the above problem?
A new and significant development has taken place in Indonesia in the field of remote sensing research and development. Hyperspectral technology is a new technology and now developing beyond the current technological status of conventional multispectral remote sensing. This technology significantly improves the resolving power of remote sensing, starting from determination to identification oriented problem solving. Thus, application development of hyperspectral remote sensing differs from that of multispectral remote sensing.
BPPT has been assessing hyperspectral technology since mid-1997’s by using various platforms and developing several application prototypes through a program called Hyperspectral Assessment, Development and Application Program (HADAP), which involve a number of international partners and recognize the importance of understanding hyperspectral remote sensing technology as one of the key technologies to solve Food Security issues in Indonesia.
In order to gain the Hyperspectral program above, Agency for the Assessment and Application of Technology of the Republic of Indonesia (BPPT) and the Earth Remote Sensing Data Analysis Center (ERSDAC) Japan recognize the importance of hyperspectral remote sensing and mutually interested in cooperative research activities for agricultural study in Indonesia. BPPT and ERSDAC Japan start the collaborate project, “Research Project of Hyperspectral Technology for Agricultural Application in Indonesia (or for short called: HyperSRI). The period of this research project is conducted from 2007 to March 2010. The Project Coordinator from BPPT is Dr. Muhamad Sadly, and Project Coordinator from ERSDAC Japan is Mr. Masatane Kato.
METI (Ministry of Economy, Trade and Industry, Japan) since 2006 have been engaged in Hyperspectral sensor development, which will be a successor to ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) on Terra satellite. ERSDAC is in charge of the research and development for Hyperspectral data application in natural resources management, environmental monitoring and other fields. ERSDAC hopes that this cooperative research can accelerate the research and development of hyperspectral remote sensing application and expand the base of user communities. In 2006-2007, ERSDAC conducted surveys to find the current status and potential of Hyperspectral data utilization in Asian countries. These surveys show Indonesian governmental organizations are the best partner to carry out the cooperative research and to get the successful results.
The main objective of this research cooperative is the application of hyperspectral technology for agricultural application (food security) in Indonesia. The specific objectives are to establish a framework/structure to realize sustainable use of Hyperspectral data in practice in Indonesia, to develop an algorithm/method to utilize Hyperspectral data for monitoring/managing paddy field, and to develop a prediction model that applicable to estimate rice yield in various area, human resources development, establish long-term and collaborative relationship between Japan and Indonesia on this area.
For implementing of this research project, Indramayu District and Subang District which are chosen to be the national prototype regions, because both districts are located in Java Island which produces around 55 % of total national rice production.
The HyperSRI program is a significant research project and the results are anticipated by our nation, so it is impossible to be conducted by BPPT alone. For this, the related institutions such as National Aeronautics and Space Agency (LAPAN), Data and Information Center (PUSDATIN) Dept of Agriculture, Institute of Climate-Agro Land Research and Development (ICALRD), Biology Tropical (BIOTROP), Indramayu Distric and dan Subang Distric (which are chosen to be the national prototype regions) and the Remote Sensing Community in Indonesia (MAPIN) to be involved in this project. The target output is “production estimation” which is consists of three factors. Harvest area, Yield, and Rice field base map.
Agenda
Speakers
Date and venue
Workshop Committee
Source: http://202.46.14.100/hypersriworkshop/
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