Forest managers require accurate and timely data that describe vegetation conditions on cutover areas to assess vegetation development and prescribe actions necessary to achieve forest regeneration objectives. Needs for such data are increasing with current emphasis on ecosystem management, escalating silvicultural treatment costs, evolving computer-based decision support tools, and demands for greater accountability. Deficiencies associated with field survey methods of data acquisition (e.g. high costs, subjectivity, and low spatial and temporal coverage) frequently limit decision-making effectiveness. The potential for remotely sensed data to supplement field-collected forest vegetation management data was evaluated in a problem analysis consisting of a comprehensive literature review and consultation with remote sensing and vegetation management experts at a national workshop. Among curently available sensors, aerial photographs appear to offer the most suitable combination of characteristics, includin...

https://cfs.nrcan.gc.ca/bookstore_pdfs/18848.pdf

Use of remote sensing for forest vegetation management: A problem analysis

Microdensitometric analysis of aerial photographs has been used to quantify urban tree stress of deciduous species. A test of this procedure applied to Monterey pine indicates that variations in ground cover beneath urban trees among cities and variations in crown morphology among tree species can limit the ability of microdensitometry to quantify urban tree stress.

https://www.nrs.fs.fed.us/pubs/jrnl/1993/ne_1993_nowak_004.pdf

Testing microdensitometric ability to determine Monterey pine urban tree stress

Based on a comprehensive literature analysis, we present a critical review of those optical remote sensing techniques operating with the visible (VIS) and near infrared (NIR) bands for the assessment of health in forest trees. Physical, biological and physio-pathological issues of VIS-NIR reflectance of leaves are described pointing out that a decrease of NIR reflectance is highly influenced by stress conditions on tree caused by abiotic and biotic factors. In many cases the NIR spectral band is more sensitive than the VIS one, allowing to detect plant stress long before the appearance of visible symptoms. A description of the main remote sensing methods is provided, including radiometric measurements and multispectral imaging approaches. False colour infrared (FCIR) images collection and their photointerpretation and processing are shown as they represent the most relevant means to acquire information of canopy from its reflectance properties. The amount and the quality of the obtainable data depend on: (i) field conditions; (ii) the type of the adopted instrument (camera, radiometer); (iii) the recording system position (ground platforms, aircraft, satellite); (iv) the format of the data (analogical, digitalised or digital); and (v) the photointerpretation technique. Results from literature are discussed stressing the limits of remote sensing methods. Remote sensing in VIS and NIR spectral bands is generally a powerful classification tool to detect and score tree stress. Nevertheless, it is not a diagnostic tool in that it does not provide information on the cause of stress. Moreover, the method should be adequately tested at single tree level for many important pathogens, in particular root rot, butt rot and stem rot fungi. In perspective, new high spatial resolution satellite images and their GIS software elaboration might be suitable to improve remote sensing analysis.

/pdf/valutazione-dello-stato-sanitario-delle-piante-forestali-42bjsq4mov.pdf

Valutazione dello stato sanitario delle piante forestali: quali prospettive dal telerilevamento nel visibile e nell’infrarosso?

Exploiting the variability of aerochrome infrared film

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Exploiting the variability of aerochrome infrared film