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- 2023
-
Mark
Changes in July albedo and its relationship with EVI over the last two decades in the Swedish alpine region
(
- Bach. Degree
-
Mark
A comparison of remote sensed semi-arid grassland vegetation anomalies detected using MODIS and Sentinel-3, with anomalies in ground-based eddy covariance flux measurements.
2023) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2021
-
Mark
Monitoring wetland cover changes during the past two decades within the protected areas of the Sudd wetland in South Sudan using MODIS data
(
- Master (Two yrs)
- 2019
-
Mark
Linking conflict events and cropland development in Afghanistan, 2001 to 2011, using MODIS land cover data and Uppsala Conflict Data Programme
2019) In Master Thesis in Geographical Information Science GISM01 20191(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2017
-
Mark
Estimating wildfire-attributed boreal forest burn in Central and Eastern Siberia during summer of 2016
(
- Bach. Degree
-
Mark
Monitoring trends of greenness and LULC (land use/land cover) change in Addis Ababa and its surrounding using MODIS time-series and LANDSAT Data
2017) In Lund University GEM thesis series NGEM01 20171(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Study of spatial and temporal variation of atmospheric optical parameters and their relation with PM 2.5 concentration over Europe using GIS technologies
2017) In Master Thesis in Geographical Information Science GISM01 20171(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2016
-
Mark
Remote sensing-based monitoring of snow cover dynamics and its influence on vegetation growth in the Middle Atlas Mountains
2016) In Master Thesis in Geographical Information Science GISM01 20142(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Development of a Web Mapping Application for grazing resource information in Kordofan, Sudan, by downloading MODIS data automatically via Python
(
- Master (Two yrs)
- 2015
-
Mark
Relationship between tree species composition and phenology extracted from satellite data in Swedish forests
2015) In Master thesis in Geographical information science GISM01 20152(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)