Development of Multistage Sensing System

For regional valuation of ecosystems as carbon sinks, current technology must be scaled up so that ecological data can be extrapolated to wider areas including territories in developing countries. One potential technology is quantitative classi­fication through remote sensing, a technology that allows continuous collection of data from across a landscape (Hong et al. 2008). Remote sensing and geographic information systems (GIS) are increasingly being used as tools to make an inven­tory of ecosystem resources, integrate data, and support decision making through analysis, modeling (Wang and Nakagoshi 2010), and forecasting (Johaerudin and Nakagoshi 2011).

Under this research theme, we focus on the following three technical research aims. The first is improvement in multistage sensing systems that can provide timely and accurate information at different scales for concurrent prediction of biomass in ecosystems. The second is the development of methods for monitoring human impact on ecosystems. The third aim is the proposal of precision ecosystem management schemes that can achieve successful results which reflect plants (Rotaquio et al. 2008; Kaneko et al. 2008; Kohri et al. 2011), animals (Wicaksono et al. 2011), landscape (Lubis and Nakagoshi 2011), and economic responses (Diep et al. 2012a, b).