Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Multivolume work

Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [FA-2 GLOBAL MONITORING (3)]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: A PROPOSED DESIGN FOR MONITORING CHANGES IN VEGETATION HEALTH AND VIGOR IN ALASKA. Vernon J. LaBau

Document type:: Multivolume work

Structure type:: Chapter

839 Ancillary data such as slope, aspect, and elevation, as well as soil moisture, depth to frost, and tree crown cover are other data that must be included as attributes to measure or observe. Characterization of forest stressors FIA teams will collect data and information on forest vegetation health, using forest stressor guides provided by Forest Pest Management and Forest Pest Research. Each tree will be observed for stressors, including: o Disease; o Insects; o Foliar health and vigor; o Other physical damage or tree stress indicators such as fire scars; and o Animal damage (due to possible changes in plant species density and composition). Researchers also will evaluate the foliar health and vigor of non-tree vegetation. Particular observation emphasis will be given to plants identified as stress indicators by the literature, FIA cooperators, and other scientists working in the field. Location of any stressed vegetation on the horizontal-vertical profile plot will be mapped on the H-V plot sketch map. Quantification of changes in forest conditions over time. Changes in tree data and plant health and vigor may be apparent from remeasurement observations. Data will be quantified and stored in a format allowing evaluations of correlations with forest stressors. Correlation of changes with forest stressors. Change information will be evaluated against forest stressors following each re-measurement observation. A statistical analysis will be used to identify significant relationships. Analyses of these relationships will be performed in conjunction with cooperating agencies. Cooperators primarily will be responsible for final statistical analyses of soil chemical content and vegetation data collected, and for their respective statistical relationships to changes in vegetation health and vigor. Cooperators also will evaluate data from any site instrumentation. USE OF REMOTE SENSING IN THE MONITORING SYSTEM Remote sensing will play a major role in this monitoring system. Since most of the original data were collected using AIRIS (LaBau and Winterberger, 1988), we already have much remotely sensed data. For example, at each eight-hectare AIRIS site, Landsat multispectral scanner (MSS)-based land cover classifications (LCC) were extracted from the LCC maps of the entire inventory unit. In addition, more-detailed remotely sensed LCC data were collected on 1:60,000 color infrared photos, and still more intense data were collected on photos at 1:3,500 to 1:7,500 scales. We will continue using satellite- based LCC (MSS, thematic mapper, and SPOT) whenever appropriate and cost effective. Newer satellite technology also will be used as it is developed. One of the more promising and rapidly developing technologies is NOAA's Advanced Very High Resolution Radiometer (AVHRR). AVHRR has some excellent applications for gross monitoring of change in vegetation cover (Hastings et al, 1988), as long as resolution finer than 1,000 meters is not required. AVHRR may work well for measuring areas impacted by fire, extensive insect attack of forests, major wind damage of vegetation, such as large timber blowdowns, and similar catastrophic effects. Other possible remote sensing tools include Side Looking Airborne Radar (SLAR) and Synthetic Aperture Radar (SAR) now under development. Other applications may include such innovative remote sensing applications as use of aerial video remote sensors (Maggio and Baker, 1988), aerial stand volume tables (Setzer and Mead, 1988), PC-driven stereo plotters, Geographic Information Systems applications and continued use of standard photogrammetric applications. The monitoring design will be kept flexible enough to permit use of new remote sensing developments as they occur. SUMMARY The monitoring design proposed here uses remeasurement of existing timber and non-timber vegetation plots to detect changes in vegetation health and vigor. The proposed monitoring grid and monitoring techniques used to collect tree and non-tree vegetation data are described. The monitored plots initially are characterized as to vegetation and plot condition. Then, remeasurements are made to detect vegetation changes that may be related to global climate change. Next, correlations are derived to establish relationships between the observed changes and forest stress criteria. Forest stress criteria are provided by Forest Pest Management, forest researchers in the field, cooperating academic study teams, and syntheses of scientific literature on the subject. Finally, cooperating research teams will conduct additional analyses of the change relationships in an attempt to model further expected changes. Part of these analyses may involve inter-relating chemical analyses of soil and vegetation with the observed changes. Cooperation with other global change research programs in Alaska will help improve understanding of the impact of global change in the Arctic, and the contribution of boreal and sub-boreal forest ecosystems to global models. Hopefully, this type of ground-based monitoring system will allow scientists to establish some basic relationships between changes in forest vegetation health and vigor and forest stressors that may be related to global climate change. This paper also advocates continued use of several remote sensing techniques already being used by Alaska Forest Inventory and Analysis, including use of Landsat MSS vegetation classifications on Landsat MSS, high- and low- altitude color infrared aerial photos, use of

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