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Earth System Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 1
Earth Syst. Dynam., 8, 55–73, 2017
https://doi.org/10.5194/esd-8-55-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Dynam., 8, 55–73, 2017
https://doi.org/10.5194/esd-8-55-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 08 Feb 2017

Research article | 08 Feb 2017

Continuous and consistent land use/cover change estimates using socio-ecological data

Michael Marshall et al.
Data sets

Development of a High-Resolution Gridded Daily Meteorological Dataset over Sub-Saharan Africa: Spatial Analysis of Trends in Climate Extremes (http://hydrology.princeton.edu/data.php) N. W. Chaney, J. Sheffield, G. Villarini, and E. F. Wood https://doi.org/10.1175/JCLI-D-13-00423.1

A Quasi-Global Precipitation Time Series for Drought Monitoring (No. 832) C. Funk, P. Peterson, M. Landsfeld, D. Pedreros, J. Verdin, J. Rowland, B. Romero, G. J. Husak, J. Michaelsen, and A. Verdin http://chg.geog.ucsb.edu/data/

Hole-filled SRTM for the globe Version 4, CGIAR-CSI SRTM 90m Database A. Jarvis, H. I. Reuter, A. Nelson, and E. Guevara http://www.cgiar-csi.org/data/srtm-90m-digital-elevation

Quantitative maps of groundwater resources in Africa (http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/maps.html) A. M. MacDonald, H. C. Bonsor, B. É. Ó. Dochartaigh, and R. G. Taylor https://doi.org/10.1088/1748-9326/7/2/024009

A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series (https://ecocast.arc.nasa.gov/data/pub/gimms/) J. E. Pinzon and C. J. Tucker https://doi.org/10.3390/rs6086929

Sioux Falls, African Population Distribution Database (APDD) UNEP/GRID http://na.unep.net/siouxfalls/datasets/datalist.php

AFRICLIM: high-resolution climate projections for ecological applications in Africa (https://www.york.ac.uk/environment/research/kite/resources/) P. J. Platts, P. A. Omeny, and R. Marchant https://doi.org/10.1111/aje.12180

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Short summary
The transition of land from one cover type to another can adversely affect the Earth system. A growing body of research aims to map these transitions in space and time to better understand the impacts. Here we develop a statistical model that is parameterized by socio-ecological geospatial data and extensive aerial/ground surveys to visualize and interpret these transitions on an annual basis for 30 years in Kenya. Future work will use this method to project land suitability across Africa.
The transition of land from one cover type to another can adversely affect the Earth system. A...
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