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

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

July 14, 2015

The Dept. of Remote Sensing recently applied for a time series of 7 RapidEye scenes to support a PhD thesis by M.Sc Omid Karami (Sari University of Agricultural and Natural Resources Sciences, Iran). The proposal is now accepted, and th PhD work will be supported by a time series of RapidEye scenes acquired between 07.2009 and 09.2014 over a semi-Meditteranean forested site in Lorestan province in Western Iran.

The PhD thesis which will use these processed datasets is entitled  “Monitoring and modelling of Zagros forest oak decline using high resolution satellite data”, supervised and advised by Dr. Asghar Fallah (Sari University of Agricultural and Natural Resources Sciences), Dr. Shaban Shataee (University of Gorgan) and Dr. Hooman Latifi (University of Würzburg). Additional multisource datasets to be used within the work include very high resolution data from Quickbird and World View-2.

RESA already published this project in RESA project map 2015 which can be found online HERE. The project area is flagged under No. 104 (project number 168) in the map.

resa_iran

The RapidEye Science Archive (RESA) supported by DLR (BMWi) and Black Bridge AG supports scientific projects with German participation through the provision of free image data of the RapidEye satellite constellation. The projects are given the opportunity on an extensive image archive to get current and archived satellite image data to ensure optimal support for individual research projects.

follow us and share it on:

you may also like:

When Snow Disappears Too Early

When Snow Disappears Too Early

Fieldwork during the winter season in Svalbard usually comes with a built-in advantage: snow. It acts as a natural transport layer, making it possible to move efficiently across large distances with snowmobiles and sleds. You plan your campaign around that mobility:...

Advancing Agriculture with UAS Multi-Sensor Research

Advancing Agriculture with UAS Multi-Sensor Research

Understanding how agriculture can adapt to a changing climate is one of the key challenges of our time. At EORC, we are pleased to share that our researchers are currently collaborating with the Bavarian State Research Center for Agriculture (LfL) on an innovative...

New roll-up shows Urban Collaboration and Research

New roll-up shows Urban Collaboration and Research

Remote sensing thrives on collaboration as shown (by a few selected ones) on our most recent roll-up. Many of today’s most pressing urban and environmental challenges—rapid urbanization, climate change, landcover change, migration, inequality, and economic...

Hackathon within the Super-Test-Site Project

Hackathon within the Super-Test-Site Project

What happens when researchers and developers sit down together to explore a multidisciplinary urban dataset? Our researchers from the EORC joined a hackathon that took place within the Super-Test-Site Project, organised by Prof. Dr. Gunther Gust from the Chair of...

Field Days in the Oberpfalz: Exploring FSME Hotspots

Field Days in the Oberpfalz: Exploring FSME Hotspots

On April 17th and 29th our researchers Sofía and Ariane had two field days in the areas around Amberg and Schwandorf, one of Germany's most well-known TBE (tick-borne encephalitis) risk regions. They joined Prof. Dr. Gerhard Dobler and Dr. Lidia Chitimia-Dobler from...

Share This