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...

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Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2020.
Year of Publication:2020
Language:English
Physical Description:1 online resource (244 pages) :; illustrations
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spelling Remote Sensing Technology Applications in Forestry and REDD+ / edited by Kim Calders [and three others].
Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2020.
1 online resource (244 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on publisher supplied metadata and other sources.
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.
Includes bibliographical references.
Forest restoration.
3-03928-471-1
Calders, Kim, editor.
Vastaranta, Mikko, editor.
Nightingale, Joanne, editor.
Jonckheere, Inge, editor.
language English
format eBook
author2 Calders, Kim,
Vastaranta, Mikko,
Nightingale, Joanne,
Jonckheere, Inge,
author_facet Calders, Kim,
Vastaranta, Mikko,
Nightingale, Joanne,
Jonckheere, Inge,
author2_variant k c kc
m v mv
j n jn
i j ij
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
title Remote Sensing Technology Applications in Forestry and REDD+ /
spellingShingle Remote Sensing Technology Applications in Forestry and REDD+ /
title_full Remote Sensing Technology Applications in Forestry and REDD+ / edited by Kim Calders [and three others].
title_fullStr Remote Sensing Technology Applications in Forestry and REDD+ / edited by Kim Calders [and three others].
title_full_unstemmed Remote Sensing Technology Applications in Forestry and REDD+ / edited by Kim Calders [and three others].
title_auth Remote Sensing Technology Applications in Forestry and REDD+ /
title_new Remote Sensing Technology Applications in Forestry and REDD+ /
title_sort remote sensing technology applications in forestry and redd+ /
publisher MDPI - Multidisciplinary Digital Publishing Institute,
publishDate 2020
physical 1 online resource (244 pages) : illustrations
isbn 3-03928-471-1
callnumber-first S - Agriculture
callnumber-subject SD - Forestry
callnumber-label SD409
callnumber-sort SD 3409 R466 42020
illustrated Illustrated
dewey-hundreds 600 - Technology
dewey-tens 630 - Agriculture
dewey-ones 634 - Orchards, fruits & forestry
dewey-full 634.9
dewey-sort 3634.9
dewey-raw 634.9
dewey-search 634.9
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is_hierarchy_title Remote Sensing Technology Applications in Forestry and REDD+ /
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