Soil Remote Sensing Specialist: Algorithm and processing chain development for analysis of multi- and hyperspectral image data

German Remote Sensing Data Center (DFD), Land Surface Department (LAX), Spectroscopy and Land Degradation Team, Oberpfaffenhofen, Wessling, Germany
Deadline: May 31, 2017

Currently, DFD develops large-scale information products that characterize soils and allows for monitoring related environmental processes. The products are based on long-term multispectral Earth Observation data of the Landsat mission starting from 1984. A full end-to-end processing chain has been developed starting from data access and ingestion, various preprocessing steps, data quality checks up to building multitemporal composites to extract and highlight information about soils.

Your mission will be (1) to further enhance these data products by improving the end-to-end algorithms to allow for processing on continental scale, (2) to retrieve reliable soil information from resulting EO soil repositories by linking to existing soil profile information and (3) to develop new ideas for integrating future spaceborne imaging spectroscopy missions into the processing chain for enhancing the thematic detail and the accuracy of the soil information products. The data products are further analyzed in the biodiversity and land degradation context.

Requirements include:

  • Ph.D. in Soil Science and Earth Observation or equivalent
  • Profound knowledge in digital soil mapping and / or large scale soil data bases
  • Expert in Earth Observation, specifically processing of optical (hyperspectral and multispectral) image data, knowledge of vegetation and soil spectroscopy
  • Very good programming skills and experiences in one or more of the following languages (e.g. C/C++, Python, IDL, R, etc.)
  • Very good knowledge of English

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