42 young master and PhD students as well as junior university teachers and specialists from government agencies and research institutions participated into the two-week 4th CAWa Summer School “Methods and Tools for the Assessment and Monitoring of Central Asian Water and Land Resources” (June 5-17, 2017) that was hosted by the German-Kazakh University in Almaty, Kazakhstan. Participants came from Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan as well as from Afghanistan and Pakistan.
During the first week (June 5-8, 2017), trainers from the Department of Remote Sensing at the University of Würzburg (Lucia Morper-Busch and Dimo Dimov) together with two co-trainers from Uzbekistan (Sherzod Zaitov, SIC ICWC) and Kazakhstan (Almas Kitapbayev, DKU) trained the participants in the use of open-source GIS software (QGIS Desktop-2.18 with Orfeo Toolbox and several plugins) for spatial analyses and in the processing, analyses, and interpretation of satellite images (e.g., raster image analysis and land use classification). Furthermore, they provided an overview of remote sensing applications for water and land resource monitoring and introduced the participants into the online information tool WUEMoCA (Water Use Efficiency Monitor in Central Asia) that is developed at the Department of Remote Sensing in Würzburg together with Central Asian partners.
Participants and trainers in the 4th CAWa Summer School (module ‘Introduction to GIS and Remote Sensing’ in the first week of summer school) in front of the German-Kazakh University in Almaty, Kazakhstan.
This year’s CAWa Summer School was already the fourth in a row. It was organized by the CAWa Project (funded by the German Federal Foreign Office; http://www.cawa-project.net) and by the German-Kazakh University in Almaty (Kazakhstan) in cooperation with the Nazarbayev University (Department of Civil Engineering, School of Engineering) in Astana (Kazakhstan) and the Fribourg University (Physical Geography) in Fribourg (Switzerland). Focus was set on innovative methods and tools for the analysis and monitoring of water and land resources in Central Asia that are of great value in integrated water and land resource management. Therefore, theoretical lectures and practical exercises were combined with discussion sessions on the implementation of new methods and instruments for managing the water and land resources. The program included an in-depth introduction to GIS, an overview of remote sensing applications for water and land resource monitoring, an introduction to climatological data analysis, and an introduction to glaciology.
A special issue “Remote Sensing-assisted inventory of forest attributes” edited by Dr. Hooman Latifi (University of Würzburg) and Prof. Dr. Barbara Koch (University of Freiburg) was recently announced by the journal Photogrammetrie-Fernerkundung-Geoinformation (PFG). The PFG is the official international journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (Impact Factor: 0.55). This special issue aims at covering the state-of-the-art research in forest inventory by using multi-source remote sensing data and methods. The results of ongoing research work published by this issue can possibly support the practitioners and decision makers towards an advanced and extended use of remote sensing in design and implementation of forest inventories on various scales. To this aim, both fundamental and practice-oriented research works are welcome that accommodate one of the following scopes:
- Remote sensing for National Forest Inventories (NFI): possibilities and challenges
- Data assimilation, fusion and integration from multiple remote sensing platforms
- Statistical issues: Bias/Variance trade-off, model setup, distributional properties and dimension reduction techniques
- Multitemporal mapping and monitoring of forest disturbances caused by biotic and abiotic agents
- New spectral, textural and structural indices to support forest inventory
- Species-specific information for forest inventory: data- , tree type- and process-driven influential factors
- Integration of forest phenology in remote sensing-assisted forest inventory
- Remote sensing o forest successional stages
- Modeling forest structural attributes which metrics to derive? Which data to use? Which performance to achieve?
- Forest as a bioenergy pool: How well we are at deriving forest biomass by remote sensing?
- Global models for estimation of Gross Primary Production (GPP) and carbon binding
In addition to original research articles, well-funded review articles are also welcome.
The intended full manuscripts should be sent via email to email@example.com. Manuscripts will undergo a standard review process, and the accepted manuscripts will be published at once in the issue 3/2017 of the PFG.
The official announcement can be retrieved here.
D. Hooman Latifi from the Dept. of Remote Sensing was invited by the Dept. of Geography at the Universé d’angers for a 2-week block course on forestry applications of LiDAR data. The course was consisted of lectures and practical examples within a two-week intensive campus-based teaching started from February 1st, 2016.
The topic focused on introduction to the analysis of laser scanning data (ALS/TLS) by means of theoretical lectures and practical excercises on computer conducted by participants, followed by group-wise oral presentations on selected subjects on the applied aspects of ALS data. Altogether 7 M.Sc students, 6 PhD students, one technical assistant in cartography and two lecturers attended the course.
The Dept. of remote sensing of the University of Würzburg will contribute to the recently-initiated platform of “Data Pool of Bavarian Forest”.
The Bavarian Forest National Park (BFNP) is the first national park in Germany and one of the unique natural landscapes in central Europe. Natural events such as windthrow, insect and fungal attack together with the forest ecosystem natural dynamics continuously change the shape of the forest. These dynamics can be monitored over various temporal durations using field and remotely sensed data. In a recently-started initiative of the Earth Observation Center of German Aerospace Center (EOC-DLR) and the BFNP administration now coordinate the systematic exchange of data and methods in a formal cooperation, in which a number of other European research institutions including Univesity of Würzburg also contribute.
An example of 2012 HySpex mosaic aqcuired by DLR at the northern part of BFNP
Within this formal agreement, the Šumava National Park (Czech Republic), BFNP, EOC-DLR, University of Würzburg, University of Twente (ITC Netherlands), Munich University of Applied Sciences and Technical University of Munich (TUM) have agreed to strengthen their collaboration in exchanging remote sensing data and methods for research purposes within the BFNP. In April 2015, the corresponding cooperation agreement was signed by all the partners. The EOC-DLR will contribute with hyperspectral data from HySpex sensor, TerraSAR-X RADAR data and Spot 5 multispectral data. The BFNP will provide an edvanced access to its comprehensive archive of aerial imagery, GIS layers and field-based data for research purposes within the data pool.
The cooperation offers the opportunity to combine different methodological approaches supported by data in order to optimize remote sensing-based forestry products. The work should also create the basis for further joint research projects. The cooperation runs until the end of the 2016. The pool will be administrated by EOC-DLR ( Dr. Uta Heiden and Stefanie Holzwarth). The contact point in Würzburg will be:
Dr. Hooman Latifi
further information to the platform can be found in the original announcement published by EOC-DLR.
This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.
This books explains how to apply remote sensing and GIS to ecological research projects. It will provide practical examples cover each step, from planning through to remote sensing and modelling. Only OpenSource software will be used for the examples such as R, QGIS and GRASS.
further information at http://remote-sensing-biodiversity.org/rsecology-book
Last week we were at Lomé (Togo).
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