Kai Heckel

Kai Heckel
Friedrich Schiller University Jena | FSU · Department of Geography

Master of Science

About

15
Publications
3,029
Reads
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93
Citations
Additional affiliations
February 2014 - May 2014
Government of Ras Al Khaimah
Position
  • Trainee
Description
  • Development of conceptual approaches for a comprehensive public transport system in the Emirate of Ras Al Khaimah/UAE
February 2012 - May 2013
Codematix GmbH
Position
  • Scientific Employee
Education
October 2013 - April 2016
Friedrich Schiller University Jena
Field of study
  • Geoinformatics
October 2010 - August 2013
Friedrich Schiller University Jena
Field of study
  • Geography

Publications

Publications (15)
Article
Full-text available
The use of digital elevation models has proven to be crucial in numerous studies related to savanna ecosystem research. However, the insufficient spatial resolution of the chosen input data is often considered to be a limiting factor when conducting local to regional scale ecosystem analysis. The elevation models and orthorectified imagery created...
Data
Abstract This dataset contains sub-meter resolution digital elevation models and orthomosaics of the Kruger National Park, South Africa, generated from aerial images captured by Digital Mapping Camera (DMC) during September and October 2018. The use of digital elevation models has proven to be crucial in a large number of studies related to savann...
Article
Full-text available
The savanna ecosystems in South Africa, which are predominantly characterised by woody vegetation (e.g. shrubs and trees) and grasslands with annual phenological cycles, are shaped by ecosystem processes such as droughts, fires and herbivory interacting with management actions. Therefore, monitoring of the intra- and inter-annual vegetation structu...
Method
A workflow to derive woody cover information for the Kruger National Park, South Africa, from freely available Sentinel-1 C-Band time series and LiDAR data using machine learning (MLR and Ranger in R). The methodology is described in following publication: Urban, M., K. Heckel, C. Berger, P. Schratz, I.P.J. Smit, T. Strydom, J. Baade & C. Schmulli...
Article
Full-text available
The fusion of microwave and optical data sets is expected to provide great potential for the derivation of forest cover around the globe. As Sentinel-1 and Sentinel-2 are now both operating in twin mode, they can provide an unprecedented data source to build dense spatial and temporal high-resolution time series across a variety of wavelengths. Thi...
Poster
Full-text available
Reference data sets for vulnerable ecosystems such as the Kruger National Park (KNP) in South Africa are mandatory sources of information for any scientific study in this area, but are commonly scarce. Therefore, this project aims at delivering the first wall-to-wall high-resolution height models for the KNP, which will be open to public. In 2018 t...
Poster
Full-text available
Biophysical parameters and their monitoring over time provides important information about states of ecosystems, locally and globally. In recent decades the importance of forests for the global carbon cycle gained rising attention in remote sensing applications. This work shall investigate the joint usability of multi-temporal data from ESA’s Senti...
Poster
The savanna ecosystems in South Africa, which are predominantly characterized by woody vegetation (e.g. shrubs and trees) and grasslands with seasonal changes, are vulnerable to impacts from droughts, fires, herbivory, etc. Therefore, monitoring of the vegetation structure and dynamics is one of the essential components for the management of comple...
Poster
The savanna ecosystems in South Africa, which are predominantly characterized by woody vegetation (e.g. shrubs and trees) and grasslands with seasonal changes, are vulnerable to impacts from droughts, fires, herbivory, etc. Therefore, monitoring of the vegetation structure and dynamics is one of the essential components for the management of comple...
Presentation
During the southern summer season of 2015 and 2016, South Africa experienced one of the most severe meteorological droughts since the start of climate recording, due to an exceptionally strong El Niño event. To investigate spatiotemporal dynamics of surface moisture and vegetation structure, data from ESA’s Copernicus Sentinel-1/-2 and NASA’s Lands...
Article
Full-text available
During the southern summer season of 2015 and 2016, South Africa experienced one of the most severe meteorological droughts since the start of climate recording, due to an exceptionally strong El Niño event. To investigate spatiotemporal dynamics of surface moisture and vegetation structure, data from ESA’s Copernicus Sentinel-1/-2 and NASA’s Lands...
Thesis
Since the last three decades, numerous scientists have analysed the Normalized Difference Vegetation Index (NDVI) in order to identify long-term trends. For the understanding of these developments, especially in the light of global climate change, data of the Advanced Very High Resolution Radiometer (AVHRR) proofed to be a unique data source for ti...

Network

Cited By

Projects

Projects (3)
Project
EMSAfrica focuses on the combined impacts and ecosystem feedbacks of climate change and human land management in Southern Africa. Our approach combines different scientific disciplines and multi-scale measurements from single plants to ecosystems. Our network of research clusters along an aridity gradient represents various degrees of land-use intensity. Our ultimate aim is to integrate scientific information into combined and upscalable models, that are relevant to land-use management.
Project
- Data fusion of optical and radar data to optimize aboveground biomass and forest cover retrievals - Analysis of the consistency the latest Sentinel-n products in combination with pre-Sentinel land products - Can they be reprocessed to ensure consistent spatio-temporal datasets for modelling?