Tom Wassenaar

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Automatic mapping and monitoring of agricultural landscapes using remotely sensed imagery has been an important research problem. This paper describes our work on developing automatic methods for the detection of target landscape features in very high spatial resolution images. The target objects of interest consist of linear strips of woody vegetation that(More)
This paper provides an original account of global land, water, and nitrogen use in support of industrialized livestock production and trade, with emphasis on two of the fastest-growing sectors, pork and poultry. Our analysis focuses on trade in feed and animal products, using a new model that calculates the amount of "virtual" nitrogen, water, and land used(More)
In the last 20 years, the number of spaceborne very high resolution (VHR) optical imaging sensors and the use of satellite VHR optical images have continued to increase both in terms of quantity and quality of data. This has driven the need for automating quantitative analysis of spaceborne VHR optical imagery. Unfortunately, existing remote sensing image(More)
Estimations of crop yields using process-based crop models are area-limited because quantitative soil data are unavailable over vast areas. The spatial approach proposed in this study incorporates two novel aspects concerning the derivation of soil data feeding the simulation and the modelling of the crop production process. First, the soil parameters(More)
Development of automatic methods for agricultural mapping and monitoring using remotely sensed imagery has been an important research problem. We describe algorithms that exploit the spectral, textural and object shape information using hierarchical feature extraction and decision making steps for automatic mapping of linear strips of woody vegetation in(More)
We present a study on the impact of soil and climatic variability on the yield of winter wheat in the Hérault-Libron-Orb Valley in southern France. The study was based on the use of a crop simulation model (Euro-ACCESS), run at 63 individual sites throughout the study area, for the current climate (1976 to 1984) and for potential future changes in(More)
Identifying the most relevant environment related indicators and how to make them available to decision-makers are current issues. Some seek to enhance their efficiency by means of methods such as aggregations or weighting. More fundamentally, in this chapter we question how industrial ecologists appropriate the notion of environment. On the basis of(More)
199 References 1. E. Lambin et al., Annu. Rev. Env. Res. 28, 205 (2003). 2. H. J. Geist, E. F. Lambin, BioScience 52, 143 (2002). 3. P. E. Kauppi et al., Proc. Natl. Acad. Sci. U.S.A. 103, 17574 (2006). 4. D. C. Morton et al., Proc. Natl. Acad. Sci. U.S.A. 103, 14637 (2006). 5. F. Mouillot et al., Geophys. Res. Lett. 33, L01801 (2006). 6. L. Giglio et al.,(More)
The environmental fate of organic waste-derived trace organic contaminants is a recent focus of research. Public awareness of this issue and concern about the potential risks are increasing, partly as a result of this research. Knowledge remains sparse but, due to growing waste volumes and contaminant concentrations, situations are arising where decisions(More)
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