M.Sc. thesis handed in by Marcus Groll

M.Sc. thesis handed in by Marcus Groll

Marcus Groll handed in his M.Sc. thesis “Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War ” and will defend it next week.

Abstract: During the Second World War (WWII) many air strikes were flown on German cities. A long time after the war, the consequences can still be recognized. About ten to fifteen percent of the dropped bombs are still lying unexploded in the ground. To find these unexploded ordnances (UXO) is nowadays an important task. Most of the UXO searching is done manually. An automatic segmentation of bomb craters on historical aerial images would help to simplify the search. So, the goal of this thesis is the creation of a deep learning instance segmentation of bomb craters from historical aerial images of WWII. The masked region based convolutional neural network (Mask R-CNN) application by ABDULLA (2017) was trained on the historical images from all over Germany. It is also possible to use this concept on every historical aerial image worldwide. The Mask R-CNN method was published in the early 2017 and until now never used for the detection of bomb craters on historical aerial images. DUTTA ET AL (2016) did the collection of the training polygons with the VGG Image Annotator. In summary 50 training and 30 validation data were used. It was decided to collect five validation images for each setting. The final Mask R-CNN model is validated via the comparison of the influences by different image settings on the model. As the image settings were chosen weather situations, bombing methods and the recorded image sizes. The TensorBoard approach and the calculation of the Average precision (AP) was applied for the validation of the model. In addition to the influence by every setting, the effects by the images themselves, hardware and software are also summarized. Finally, every setting got a big influence on the result of the model, especially the hardware and software setting. The right hardware- and software setup is a very important preprocessing step to prevent “MemoryError” messages by the system. The company Luftbilddatenbank (LBDB), in Estenfeld, close to Würzburg, Germany, provided all the historical images. This thesis was written in cooperation with them. A further target of this thesis is the creation of a plugin in a Geographic Information System (GIS) software like ArcMap or QGIS, which is able to do the instance segmentation of bomb craters. This plugin should be implemented into the workflow of the LBDB.

Maninder Singh Dhillon handed in his MSc

Maninder Singh Dhillon handed in his MSc

Maninder Singh Dhillon handed in his M.Sc. “Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany” supervised by Thorsten Dahms with the first and second supervisors Martin Wegmann and Christopher Conrad, respectively.

His M.Sc. defense will be on Monday 18th at 2pm in room 0.004 (Oswald-Kuelpe Weg). Read the abstract of his M.Sc. for more details about his research project.

 

 

 

Abstract: Climate change, natural resource degradation, and population growth are increasingly challenging food security. Climatic effects such as warming temperatures, and decrements in soil moisture have already stagnated the winter wheat yields in many parts of the world. The present study was conducted over three years from 2015 to 2017 on a main agricultural production region of North-East Germany. Five widely used crop models, namely, WOFOST. CERES, Aqua crop. LUE and CropSyst, are compared to predict the biomass of winter wheat crop. The study stresses the use of remote sensing with crop growth models, as they lack spatial information on the actual conditions of each field or region. It also elaborates the concept of data fusion, in which both Landsat (30 m) and Modis (500 m) are combined to get synthetic remote sensing data of 30-meter spatial and one-day temporal resolution, in crop growth modeling with its contribution to crop growth models. Measurements of the biophysical parameters such as Leaf Area Index (LAI), Canopy Cover (CC), Fraction of Photosynthetically Absorbed Radiation (FPAR) were grouped according to the phenology using the BBCH characterization (Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie). The analysis was carried out for winter wheat during the years 2015 to 2017 and included a detailed comparison of the simulated and measured crop biomass as well as an impact of climate parameters such as temperature stress, soil moisture stress and vapor pressure deficit (VPD) on crop growth, and an evaluation of the modelled crop biomass. The study shows that the models (Aqua crop, CropSyst, and LUE) that require fewer input parameters to simulate crop biomass are well suitable and easier to implement.

EAGLE visit DLR-EOC

EAGLE visit DLR-EOC

Our EAGLEs in 2018 visited the German Aerospace Center, namely the Earth Observation Center, close to Munich. Various topics were presented by DLR scientist and the EAGLEs had the chance to discuss various topics in small groups with individual scientists.

The presentations were:

  • Optical and radar remote sensing for observing the coastal zone and river basins (Marco Ottinger)
  • Earth observation for vegetation monitoring (Dr. Sarah Asam)
  • Time series analysis of global snow cover (Dr. Andreas Dietz)
  • Sensing the pulse of urban development (Dr. Felix Bachofer)
  • and visits of the ZKI and GSOC

this visit is part of the course by Dr. Claudia Künzer and jointly organized with Juliane Huth

 

Internship and M.Sc. idea presentations

Internship and M.Sc. idea presentations

on Thursday, December 13th, at 12:30 we will have the following presentations in the student working room (Josef Martin Weg 52, 3rd floor):

internship presentations:

 
Johni Miah
“Remote Sensing and Geographic Information System for Decision Making”
 
Benjamin Lee
“Quantifying intertidal areas in the East Asian-Australasian Flyway”
 
Marina Reiter
“Computation of sewer system in Ulm”

M.Sc. idea presentations:

 
Marina Reiter
“Analysis of urban green areas in German cities”
 
Fowad Ahmed
“Drought Monitoring in the University Forest Sailershausen”