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- 2016
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Mark
A multi-scale based method for estimating coniferous forest aboveground biomass using low density airborne LiDAR data
2016) In Lund University GEM thesis series NGEM01 20161(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Developing a web-based system to visualize vegetation trends by a nonlinear regression algorithm
(
- Master (Two yrs)
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Mark
Development of a Web Mapping Application for grazing resource information in Kordofan, Sudan, by downloading MODIS data automatically via Python
(
- Master (Two yrs)
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Mark
Modelling maize (Zea Mays L.) phenology seasonal forecast data
2016) In Lund University GEM thesis series NGEM01 20161(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Analysis of Arctic peak-season carbon flux estimations based on four MODIS vegetation products
(
- Master (Two yrs)
- 2015
-
Mark
Compute a crowdedness index on historical GIS data : a case study of Hög Parish, Sweden, 1812-1920
(
- Master (Two yrs)
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Mark
Cartographic design of thematic polygons : a comparison using eye-movement metrics analysis
(
- Master (Two yrs)
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Mark
Present and near future water availability for closing yield gaps in four crops in South America
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- Master (Two yrs)
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Mark
Modeling the potential impact of climate change on the distribution of Western Corn Rootworm in Europe
(
- Master (Two yrs)
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Mark
Estimation of Cropland Ecological Footprint within Danish Climate Commissions 2050 Scenarios for Land use and Bioenergy Consumption
(
- Master (Two yrs)