Publications by authors named "M Daams"

Article Synopsis
  • - The implementation of the Sustainable Development Goals (SDGs) is struggling because of siloed strategies that prevent a unified approach.
  • - To tackle these issues, the text highlights three key areas: how SDGs interact with each other, modeling these interactions, and using appropriate tools.
  • - By focusing on these interconnected aspects, the aim is to enhance progress on the SDGs and effectively apply the principles of integration and indivisibility.
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This paper is uniquely focused on mapping business land in satellite imagery, with the aim to introduce a standardized approach to estimating how much land in an observed area is allocated to business. Business land and control categories of land are defined and operationalized in a straightforward setting of pixel-based classification. The resultant map as well as information from a sample-based quantification of the map's accuracy are used jointly to estimate business land's total area more precisely.

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Instability in smallholder farmers' income in developing countries due to unstable farm prices has been a challenge for farmers and agricultural policymakers over the years. Sustained price stabilization mechanisms are mostly lacking. In some countries, output price support has been initiated to stabilize incomes and as an incentive to enhance farmer investment and boost production.

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Introduction: Atrophy of the spinal cord is known to occur in multiple sclerosis (MS). The mean upper cervical cord area (MUCCA) can be used to measure this atrophy. Currently, several (semi-)automated methods for MUCCA measurement exist, but validation in clinical magnetic resonance (MR) images is lacking.

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While nature is widely acknowledged to contribute to people's well-being, nature based well-being indicators at city-level appear to be underprovided. This study aims at filling this gap by introducing a novel indicator based on the proximity of city-residents to nature that is of high-amenity. High-amenity nature is operationalized by combining unique systematic data on people's perceptions of what are the locations of attractive natural areas with data on natural land cover.

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