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Martin Herold

Researcher at Wageningen University and Research Centre

Publications -  401
Citations -  25472

Martin Herold is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Land cover & Deforestation. The author has an hindex of 70, co-authored 365 publications receiving 19895 citations. Previous affiliations of Martin Herold include Center for International Forestry Research & CGIAR.

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Good practices for estimating area and assessing accuracy of land change

TL;DR: This work provides practitioners with a set of “good practice” recommendations for designing and implementing an accuracy assessment of a change map and estimating area based on the reference sample data.
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An assessment of deforestation and forest degradation drivers in developing countries

TL;DR: In this article, the authors provide an assessment of proximate drivers of deforestation and forest degradation by synthesizing empirical data reported by countries as part of their REDDC readiness activities, CIFOR country profiles, UNFCCC national communications and scientific literature.
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The spatiotemporal form of urban growth: measurement, analysis and modeling

TL;DR: The combined approach using remote sensing, spatial metrics and urban modeling is powerful, and may prove a productive new direction for the improved understanding, representation and modeling of the spatiotemporal forms due to the process of urbanization.
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The use of remote sensing and landscape metrics to describe structures and changes in urban land uses

TL;DR: In this article, the authors used information on image spatial formlandscape metricsto describe urban land-use structures and land-cover changes that result from urban growth, based on spatial analysis of landcover structures mapped from digitally classified aerial photographs of the urban region Santa Barbara, CA.
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The role of spatial metrics in the analysis and modeling of urban land use change

TL;DR: A framework combining remote sensing and spatial metrics aimed at improving the analysis and modeling of urban growth and land use change and helps to develop alternative conceptions of urban spatial structure and change is explored.