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Displaying 571 - 575 of 662Applying support vector regression to water quality modelling by remote sensing data
This article applies a nonlinear machine learning method, support vector regression (SVR), to construct empirical models retrieving water quality variables using remote sensing images. Based on in situ measurements and high-resolution multispectral SPOT-5 (Satellite Pour l'Observation de la Terre) data, a fittest nonlinear function between input and output was obtained from this method, and SVR model parameters were selected automatically using a genetic algorithm (GA).
Review of Organic Farming Policy in Australia: Time to Wipe the Slate Clean?
Organic farming has risen in popularity with both farmers and consumers, with Australia having the largest area of certified organic land in the world. Australian governments have traditionally ignored the organic farming sector, while making policies that have hampered its further development. Although policies have become more favorable over time, recently, there has been a slight reversal in approach. Such a reversal in policy makes Australia unique when compared to the pro-organic policy developments in nearly all other developed countries.
effects of combining classifiers with the same training statistics using Bayesian decision rules
Multiple classifier systems (MCS) are attracting increasing interest in the field of pattern recognition and machine learning. Recently, MCS are also being introduced in the remote sensing field where the importance of classifier diversity for image classification problems has not been examined.
Mapping the vegetation changes in giant panda habitat using Landsat remotely sensed data
Since the 1950s, with national policy changes and socio-economic development, the habitat of the giant pandas has altered accordingly. This can also be inferred from the population changes of the giant pandas as reported in three national surveys. Thus, monitoring the changes in giant panda habitat and then taking appropriate action would be a valuable contribution to giant panda protection. In this paper, using existing habitats and potential habitats of the giant pandas as the study area, multitemporal remotely sensed data from the three national surveys are used as the data source.
Synergies and trade-offs in the management of lowland rural floodplains: an ecosystem services approach
Priorities for the management of lowland rural floodplains in many parts of Europe have changed from a focus on agricultural production towards multi-functional landscapes that provide a range of environmental, social and economic benefits to society. This paper uses an ecosystem services framework to explore alternative management scenarios with different objectives (production, biodiversity, floodwater storage, agri-environment and income) for two rural floodplains in England. Each scenario featured different types of land cover and hydrological management.