tailieunhanh - Progress in Biomass and Bioenergy Production Part 5

Tham khảo tài liệu 'progress in biomass and bioenergy production part 5', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Assessment of Forest Aboveground Biomass Stocks and Dynamics with Inventory Data Remotely Sensed Imagery and Geostatistics 109 schemes for image data and ground data to increase the accuracy in which remotely sensed data can be used to classify land cover or to estimate continuous variables. Geostatistical models are reported in numerous textbooks . Isaaks Srivastava 1989 Cressie 1993 Goovaerts 1997 Deutsch Journel 1998 Webster Oliver 2007 Hengl 2009 Sen 2009 such as Kriging plain geostatistics environmental correlation . regression-based Bayesian-based models . Bayesian Maximum Entropy and hybrid models . regression-kriging . Despite Regression-kriging RK is being implemented in several fields as soil science few studies explored this approach to spatially predict AGB with remotely sensed data as auxiliary predictor. Hence this research makes use of RK and remote sensing data to analyse if spatial AGB predictions could be improved. This research presents two case studies in order to explore the techniques of remote sensing and geostatistics for mapping the AGB and NPP. The first aims to compare three approaches to estimate Pinus pinaster AGB by means of remotely sensed imagery field inventory data and geostatistical modeling. The second aims to analyse if NPP of Eucalyptus globulus and Pinus pinaster species can easily and accurately be estimated using remotely sensed data. 2. Case study I - Aboveground biomass prediction by means of remotely sensed imagery field inventory data and geostatistical modeling Study area This study was carry out in Portugal Continental extending from the latitudes of 36 57 23 and 42 09 15 N and the longitudes of 09 30 40 and 06 10 45 W Figure 1 . This area Fig. 1. Study area location 110 Progress in Biomass and Bioenergy Production includes two distinctive bioclimatic regions a Mediterranean bioclimate in everywhere except a small area in the North with a temperate bioclimate. With four distinct weather seasons the .