Section 1.4: Remote Sensing and Geoinformatics

The overall objective of this project is to develop methods to quantify Arctic biodiversity using multi-scale imaging spectroscopy and detailed in-situ biodiversity data.

read more

 The main objective of the project is the development of an end-to-end satellite simulator for ESA, which is able to simulate realistically and very accurately the whole chain starting from data recording, sensor calibration and data pre-processing to sensor products up to final surface parameter maps.

Funded by: ESA

Funding period: 01.09.2018 - 31.12.2020

read more

Significant advances in Earth system understanding will only be achieved through better integration of data and knowledge from the different Earth science disciplines and earth compartments.Improvement in this field strongly depends on our capabilities of dealing with fast growing multi-parameter data and on our effort employing Data Science methods, adapting new algorithms and developing digital workflows tailored to specific scientific needs.With Digital Earth we will address these challenges within and between the Helmholtz partners.

Funded by: Initiative and Networking Fund by Helmholtz Association

Funding period: 01.06.2018 - 31.05.2021

read more

The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP will provide accurate and diagnostic surface parameters for terrestrial and aquatic ecosystems to be used in a range of application fields. It will allow to quantify and model crucial ecosystem processes, to study the diverse effects of human interventions and to support the management of natural resources.

read more

The aim of the remote sensing and geoinformatics section of the GFZ within the framework of ENSURE is to develop a multi-sensor system as well as a corresponding methodology for quantifying and characterising the environmental impact of plastic waste.

read more

Remote sensing for a sustainable use of resources - FERN.Lab is a Helmholtz Innovation Lab, which actively promotes the transfer activities of the Department of Geodesy. The technology platform supports the operationalisation of application-oriented, transdisciplinary method developments for the analysis of remote sensing data.

read more

A new hyperspectral radiometer integrated in automated water and land networks, measuring bidirectional reflectance for satellite data validation

read more

Innovative drone based hyperspectral detection of heavy metals (Nickel, Zinc, Copper) in plants based on phytomining

read more

iCUPE will improve our understanding of the pollution sources and sinks, environmental and anthropogenic changes and elements of the cryosphere in polar areas by conducting high-level and high impact research by analyzing these integrated data together with the modelling frameworks

read more

LIGHTS aims at designing a new exploration process at the target scale. The objective is to perform an airborne and a ground survey in a single field survey to test the fertility of the outcropping target.

read more

MASOMED aimed at mapping soil variability and quality related to crop stress and land management within rainfed crops of Mediterranean agroecosystems based on hyperspectral airborne imagery from the optical and thermal region (0.4-12 µm) and to test the transferability of the methods used to future hyperspectral space-borne sensors.

read more

MOSES (Modular Observation Solutions for Earth Systems) has been developed as a project and earth observation system within the “Earth and Environment” research field of the Helmholtz Association to decipher the interactions of short-term events and long-term trends in Earth and environmental systems.

read more

Evaluation of the potential of multispectral point clouds and their acquisition with multispectral airborne laser scanners

read more

The project NaTec – KRH aims to develop remote sensing based methods for the monitoring of species and habitats in nature conservation areas. In different ecological scales (from satellite sensors over drones to field spectroscopy) it will be examined how habitat management impacts spatial patterns of biodiversity and supports ecosystem resilience.

read more

The Research Training Group „NatRiskChange“ funded by the Deutsche Forschungsgemeinschaft (DFG) started in 2015. It aims at developing quantitative methods for an improved hazard and risk analysis. The Remote Sensing section at GFZ is involved in two out of 12 PhD projects.

read more

ReMon aims at developing a prototypical monitoring system for mine tailings. The monitoring system will be a combination of software and hardware packages. Different sensors scaling from satellite- to drone-based will be integrated into a product primarily aiming at the mining sector.

read more

The collaborative project aims at the utilization of global satellite and model data for regional water resources management and seasonal forecasts. Main target areas are dryland regions in Brazil, Iran and Sudan. The project is funded by the Federal Ministry of Education and Research (BMBF) in the frame of the research initiative Global Resource Water (GROW).

read more

SERES is funded by DAAD and CAPES within the German-Brazilian PROBRAL programme for bilateral scientific cooperation. The project aims at monitoring and managing water resources in semi-arid NE Brazil by means of in situ, remote sensing and modelling approaches.

read more

The goal of SEVA is the development of a scalable exploration-tool that enables users to extract all land cover changes in big Sentinel-2 data and to identify all changes relevant to the user.

Funded by: Federal Ministry of Economic Affairs and Energy

Funding period: 01.11.2017 - 30.04.2020

read more

GFZ section 1.4 is operating the Demmin monitoring site focusing on agrometeorological, phenological and soil parameters. Research targets plant-water-availability, agricultural and ecological topics. New methods for linking ground based data with remote sensing data are developed and validated.

read more

The following projects are closed.

read more