Remote Sensing Technology Applications in Forestry and REDD+ / / edited by Kim Calders [and three others].

Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent dev...

Full description

Saved in:
Bibliographic Details
TeilnehmendeR:
Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2020.
Year of Publication:2020
Language:English
Physical Description:1 online resource (244 pages) :; illustrations
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent developments in ground-based sensors have advanced 3D measurements, low-cost permanent systems, and community-based monitoring of forests. The UNFCCC REDD+ mechanism has advanced the remote sensing community and the development of forest geospatial products that can be used by countries for the international reporting and national forest monitoring. However, an urgent need remains to better understand the options and limitations of remote and close-range sensing techniques in the field of forest degradation and forest change. Therefore, we invite scientists working on remote sensing technologies, close-range sensing, and field data to contribute to this Special Issue. Topics of interest include: (1) novel remote sensing applications that can meet the needs of forest resource information and REDD+ MRV, (2) case studies of applying remote sensing data for REDD+ MRV, (3) timeseries algorithms and methodologies for forest resource assessment on different spatial scales varying from the tree to the national level, and (4) novel close-range sensing applications that can support sustainable forestry and REDD+ MRV. We particularly welcome submissions on data fusion.
Bibliography:Includes bibliographical references.
Hierarchical level:Monograph
Statement of Responsibility: edited by Kim Calders [and three others].