New RapidEye datasets granted from RESA platform of DLR/Black Bridge

New RapidEye datasets granted from RESA platform of DLR/Black Bridge

October 21, 2015

The Dept. of Remote Sensing recently applied for a time series of 12 RapidEye scenes to support a PhD thesis by Siddhartha Khare (Indian Institute of Technology Roorkee, India). The proposal is now accepted, and th PhD work will be supported by a dense time series of RapidEye scenes acquired in 2013 over dry forests in Lesser Himalayan region of India.

The PhD thesis which will use these processed datasets is entitled  “Object Based approaches for remote sensing-assisted assessment of forest biodiversity focusing on invasive species”, supervised and advised by Prof. S.K. Ghosh (IIT Roorkee) and Dr. Hooman Latifi (University of Würzburg). Additional multisource datasets to be used within the work include time series of Landsat 8 data and Cartosat 2-derived terrain model.

RESA already published this project in RESA project map 2015 which can be found online HERE. The project area is flagged under No. 120 (project number 184) in the map.

resa_india

follow us and share it on:

you may also like:

EORC at the Zugspitze

EORC at the Zugspitze

The CSU Working Group for Environment and Consumer Protection recently visited the Environmental Research Station Schneefernerhaus (UFS) on the Zugspitze. The visit provided an opportunity to present current research activities connected to this unique high-alpine...

UAS analysis of fire and drought stress under controlled conditions

UAS analysis of fire and drought stress under controlled conditions

New update from the field work of our PhD researcher Luisa Pflumm in Kruger National Park! After weeks of fieldwork in the open savanna, Luisa's work now moves into a more controlled setting, a burn chamber experiment carried out together with our collaborators from...

Welcome, Prof. Dr. Stefan Dech!

Welcome, Prof. Dr. Stefan Dech!

Big news at the EORC: as of today, October 1st, 2026, Stefan Dech is officially a senior professor at the University of Würzburg, and he's staying right where he belongs, with us at the EORC. Stefan will keep working with us on a whole range of Earth Observation...

EO4CAM Meeting with LfU and StMUV at DLR

EO4CAM Meeting with LfU and StMUV at DLR

On 30 September 2026, representatives from the Bavarian State Ministry of the Environment and Consumer Protection (StMUV), the Bavarian Environment Agency (LfU), the EORC of the University Würzubrg (JMU), and the...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This