Our fantastic team had some new publications within the past half year, they are all worth to have a look:
- Xiaoye Tong, Martin Brandt, Pierre Hiernaux, Stefanie Herrmann, Feng Tian, Alexander Prishchepov, Rasmus Fensholt. Revisiting the coupling between NDVI trends and cropland changes in the Sahel drylands: A case study in western Niger. Remote Sensing of Environment 2017, 191, 286–296.
This one deals with the question if agricultural intensification in Sahel causes an increase or decrease in NDVI trends. Surprisingly, we find a negative NDVI trend coupled with an increase in cropped areas which means that fallowed fields have a substantially higher NDVI than cropped fields.
- Martin Brandt, Gray Tappan, Abdoul A. Diouf, Gora Beye, Cheikh Mbow, Rasmus Fensholt. Woody vegetation die off and regeneration in response to rainfall variability in the West African Sahel, Remote Sensing, 2017, 9(1).
Open access! Here we use great data sources to document dynamics in woody vegetation in central Senegal. Field data from 2000 to 2015, fantastic aerial photos from 1994, repeat photography from 1994 and 2015, satellite imagery at 50 cm resolution from 2005-2015, and finally MODIS time series. We find a high spatial and temporal dynamic, encroachment, die off, etc. It’s a very a colourfully illustrated study which will make you feel like travelling to Senegal..
- Xiaowei Tong, Kelin Wang, Yuemin Yue, Martin Brandt, Bo Liu, Chunhua Zhang, Chujie Liao, Rasmus Fensholt. Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China. International Journal of Earth Observation and Geoinformation, 2017, 54: 105–113.
A great story as well: We document how conservation projects in Southern China are able to impact on vegetation trends and propose an index which allows to put the invested money (for conservation projects) in relation with vegetation trends to be able to determine the project effectiveness.
- Feng Tian, Martin Brandt, Yi Liu, Kjeld Rasmussen, Rasmus Fensholt. Mapping gains and losses in woody vegetation across global tropical drylands. Global Change Biology, 2016.
A very clever way to combine optical and passive microwave satellite data: We assume that optical satellite data senses the green part of the vegetation and the passive microwaves the green plus non-green parts. So we combine both to estimate the non green vegetation (i.e. the wood) and look at global trends from 2000 to 2012 which allows us to map gradual gains and losses in woody cover.