4.02.05 - Remote sensing

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2021-01-13

Call for Submissions: 3D Remote Sensing for Forests – Progress and Perspective

Guest edited by Yong Pang, Qinghua Guo, Huaguo Huang, Lin Cao, John Kershaw, Manuela Hirschmugl and Xinlian Liang

Submissions are invited for a Special issue of 'Forest Ecosystems'.

Forests exhibit distinct vertical stratification, geographical variation, biological diversity, and are dynamic systems. To disentangle and understand these complex features, managers and scientists rely on efficient and reliable assessments of forest resources across spatial scales. The rise of three-dimensional (3D) observation technology has changed the application potential of remote sensing of forests. 3D forest observations include those from terrestrial, mobile, UAV, and satellite platforms using both active and passive sensors. Initially, laser scanning (LS), or Lidar, was the main data source. Now, multispectral and panchromatic images from airborne or satellite platforms are comparable with LS in terms of forest attributes estimation over large areas, and are expected to be applied practically in the near future. Meanwhile, the information that can be extracted is still limited and not yet adequately accurate for many research and management needs. Further development is required to improve the accuracy and reliability of the mensuration and the attributes estimated from these new technologies.

This Thematic Series covers a range of topics related to 3D remote sensing in forest environments, from terrestrial to spaceborne platforms, from active to passive sensors, and their applications across diverse forested landscapes. Review papers summarizing past and ongoing progresses and original research papers reflecting recent developments are particularly welcome, including studies about thematic information extraction, new techniques for forest mensuration, new missions, as well as new algorithms and applications.

Submission deadline: 31 October 2022
Contact: Dr. Li Hui (bjfulihui(at)gmail.com)
Details: https://forestecosyst.springeropen.com/3d-remote-sensing-for-forests


2020-12-03

ForestSAT2020 - Last Call for Forests!

POSTPONED TO 12-16 SEPTEMBER 2022!
Krakow, Poland; Conference homepage

After careful consideration, and in light of ongoing Coronavirus (COVID-19) pandemic developments around the world, the 2020 Local Organizing Committee and ForestSAT Board of Directors have jointly decided to reschedule this year's ForestSAT conference to September 2022. While we are very sad to not connect with all of you this year or next, it is our hope that rescheduling will enable us to provide the experience that you have come to expect and deserve in a safe and stable environment. - The Organzing Committee

 


2016-10-19

Publication Alert: Global biodiversity and productivity

Positive biodiversity-productivity relationship predominant in global forests

This article, in which IUFRO officeholder Tomasz Zawila-Niedzwiecki is a co-author, has just been published in Science.

The relationship between biodiversity and ecosystem productivity has been explored in detail in herbaceous vegetation, but patterns in forests are far less well understood. Liang et al. have amassed a global forest data set from >770,000 sample plots in 44 countries. A positive and consistent relationship can be discerned between tree diversity and ecosystem productivity at landscape, country, and ecoregion scales. On average, a 10% loss in biodiversity leads to a 3% loss in productivity. This means that the economic value of maintaining biodiversity for the sake of global forest productivity is more than fivefold greater than global conservation costs.

Details at: http://science.sciencemag.org/content/354/6309/aaf8957


2016-01-19

The Integrated Remote Sensing Studio

Take a tour of the Integrated Remote Sensing Studio (IRSS) at the Forest Resources Management Department in the Faculty of Forestry at UBC and see how the IRSS lab uses images from space to better understand our environment. http://bit.ly/1SZ0fYk