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Aerial photos for obtaining information on vegetation in areas of high population densities

Abstract

An air pollution survey was conducted which includes a description of an inventory of Freiburg's roadside trees with the aid of infrared aerial photos, supported by a register of trees by species. Results were mapped by street averages of injury and analyses by species susceptibility and stress factors. Building and traffic density were used as stress indicators presumed to be correlated with others such as road salting or other disturbances. In a ranking based on these factors Tilia sp. was the most and Robinia pseudoacacia the least susceptible, with Aesculus, Acer, Platanus and Crataegus spp. intermediate in descending order of susceptibility. A second survey a year later showed deterioration in most parts of the town, but some improvement was observed in the central Rathausplatz, where traffic had been excluded, salting had been stopped, and certain tree amelioration measures were being tried. Other topics discussed include surveys of total green vegetation in cities and the mapping of air pollution risks near heavily industrialized areas. In a study of 1600 spruce stands near the Ruhr region, no simple correlations with topographic factors were found, though the worst damage was frequently noticed in narrow valleys and near reservoirs.
Authors:
Publication Date:
Jan 01, 1975
Product Type:
Journal Article
Reference Number:
EDB-86-055213
Resource Relation:
Journal Name: Allg. Forst Z.; (Germany, Federal Republic of); Journal Volume: 30:1/2
Subject:
63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.; 54 ENVIRONMENTAL SCIENCES; AIR POLLUTION; INFRARED SURVEYS; EXHAUST GASES; TOXICITY; TREES; SENSITIVITY; AUTOMOBILES; BIOLOGICAL STRESS; FEDERAL REPUBLIC OF GERMANY; PHOTOGRAPHY; POLLUTION SOURCES; REMOTE SENSING; SPRUCES; TOPOGRAPHY; EUROPE; FLUIDS; GASEOUS WASTES; GASES; GEOPHYSICAL SURVEYS; PLANTS; POLLUTION; SURVEYS; VEHICLES; WASTES; WESTERN EUROPE; 560303* - Chemicals Metabolism & Toxicology- Plants- (-1987); 500200 - Environment, Atmospheric- Chemicals Monitoring & Transport- (-1989)
OSTI ID:
6187403
Country of Origin:
Germany
Language:
German
Other Identifying Numbers:
Journal ID: CODEN: AFZSA
Submitting Site:
JMT
Size:
Pages: 23-27
Announcement Date:
Mar 01, 1986

Citation Formats

Kenneweg, H. Aerial photos for obtaining information on vegetation in areas of high population densities. Germany: N. p., 1975. Web.
Kenneweg, H. Aerial photos for obtaining information on vegetation in areas of high population densities. Germany.
Kenneweg, H. 1975. "Aerial photos for obtaining information on vegetation in areas of high population densities." Germany.
@misc{etde_6187403,
title = {Aerial photos for obtaining information on vegetation in areas of high population densities}
author = {Kenneweg, H}
abstractNote = {An air pollution survey was conducted which includes a description of an inventory of Freiburg's roadside trees with the aid of infrared aerial photos, supported by a register of trees by species. Results were mapped by street averages of injury and analyses by species susceptibility and stress factors. Building and traffic density were used as stress indicators presumed to be correlated with others such as road salting or other disturbances. In a ranking based on these factors Tilia sp. was the most and Robinia pseudoacacia the least susceptible, with Aesculus, Acer, Platanus and Crataegus spp. intermediate in descending order of susceptibility. A second survey a year later showed deterioration in most parts of the town, but some improvement was observed in the central Rathausplatz, where traffic had been excluded, salting had been stopped, and certain tree amelioration measures were being tried. Other topics discussed include surveys of total green vegetation in cities and the mapping of air pollution risks near heavily industrialized areas. In a study of 1600 spruce stands near the Ruhr region, no simple correlations with topographic factors were found, though the worst damage was frequently noticed in narrow valleys and near reservoirs.}
journal = []
volume = {30:1/2}
journal type = {AC}
place = {Germany}
year = {1975}
month = {Jan}
}