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Displaying 1106 - 1110 of 1195Invasive species change detection using artificial neural networks and CASI hyperspectral imagery
For monitoring and controlling the extent and intensity of an invasive species, a direct multi-date image classification method was applied in invasive species (salt cedar) change detection in the study area of Lovelock, Nevada. With multidate Compact Airborne Spectrographic Imager (CASI) hyperspectral data sets, two types of hyperspectral CASI input data and two classifiers have been examined and compared for mapping and monitoring the salt cedar change.
Did the Invisible Hand Need a Regulatory Glove to Develop a Green Thumb? Some Historical Perspective on Market Incentives, Win-Win Innovations and the Porter Hypothesis
The idea that properly designed environmental regulations can improve a firm's competitiveness while simultaneously contributing to a cleaner environment through the development of so-called 'win-win' innovations (i.e., that reduce environmental damage while simultaneously increasing profits) is usually credited to Porter (1991). Numerous studies have since attempted to assess the validity of the concept, with mixed results.
Factors Determining Citizen's Attitudes Towards Agri-Environmental Property Rights
The purpose of this paper is to contribute further insights into individuals' agri-environmental attitudes. In particular, the empirical analysis focuses on how citizens think agri-environmental property rights should be assigned. This has been done by surveying how individuals consider the environmental policy should promote the implementation of a group of agri-environmental measures, allowing us to examine the determinants of individuals' opinions about this matter.
Ecosystem classification for EU habitat distribution assessment in sandy coastal environments: An application in central Italy
Many recent developments in coastal science have gone against the demands of European Union legislation. Coastal dune systems which cover small areas of the earth can host a high level of biodiversity. However, human pressure on coastal zones around the world has increased dramatically in the last 50 years. In addition to direct habitat loss, the rapid extinction of many species that are unique to these systems can be attributed to landscape deterioration through the lack of appropriate management.
Model for Landscape Planning Under Complex Spatial Conditions
We present a new mathematical programming framework that is adaptable to a variety of spatially explicit landscape problems in environmental investment, conservation, and land-use planning, transport planning, and agriculture. As part of capturing spatial interdependencies, the framework considers decision variables at two levels, finely spaced grid cells and landholdings. We applied the framework to an environmental investment problem using objective functions representing biodiversity and carbon sequestration.