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.
Our EGU session “Mapping, Monitoring & Modelling of Vegetation Characteristics using Earth Observation” got accepted and is now online.
The EGU, the General Assembly of the European Geosciences Union, is held at the Austria Center Vienna (ACV) in Vienna, Austria, from 17–22 April 2016.
Remote sensing, be it in the form of satellite imagery or aerial photography from manned aircrafts or UAVs, has proven its potential as a unique tool for retrieving vegetation properties at the local, the regional and global scales. Over the last decades, a substantial amount of work has been allocated to the retrieval of vegetation characteristics, e.g. mapping of the extent of vegetation cover, monitoring of vegetation condition using the NDVI or other indices, monitoring forest cover trends, monitoring the expansion of bushes in the expense of palatable grasses in the drylands, woody structure modelling and mapping using Synthetic Aperture Radar data, extracting structural vegetation components from LiDAR for biomass estimation, combining hyperspectral and LiDAR data for upscaling vegetation structural information, to mention but a few. Numerous satellite missions are currently being used to quantify such characteristics in a wide range of temporal and spatial resolutions; new missions with improved capacities are constantly becoming available or planned for the near future in an ever-increasing rate. However, the use of remote sensing for mapping, monitoring or modelling vegetation characteristics is clearly not problem-free: quite the contrary. Within this context, we welcome studies that present novel approaches of mapping, monitoring and modelling vegetation characteristics. We endeavour this session to provide the platform for the analysis of the benefits as well as the pitfalls of using aerial photography, UAVs, LiDAR, Radar, hyperspectral or multi-spectral satellite data in this field.
Compton J. Tucker by NASA will be the keynote speaker.
chairs: Elias Symeonakis, Hanna Meyer, Thomas Higginbottom, Martin Wegmann
more details here:
A large diversity of remote sensing training for ecology and conservation exists and such trainings are increasingly offered. All remote sensing trainings have different approaches, use different data sets and have different audience. However, their results, lesson-learnt and approaches are rarely reported. Therefore there is a need to review and discuss the past and future of spatial training in ecology and conservation. In this special issue a forum for a wide range of articles is offered such as reviews, policy forum and interdisciplinary perspectives on remote sensing training for ecological and conservation research and authors are encouraged to submit manuscripts of past activities or perspectives on needed developments.
more details at: http://remote-sensing-biodiversity.org/special-issue-on-rs-training-in-ecology-and-conservation/