Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
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damages on tree level at the inventory points. The new 
procedure must coincide with the monitoring standards of the 
last years to continue the present time series. 
2.1.3 Nature conservation: The management of nature 
conservation areas (e.g. Natura 2000) should be supported by 
remote sensing. Besides the information of a new regional forest 
inventory, specific parameters have to be collected in the 
protected areas e.g. dead wood volumes on stand level, single 
biotope trees and specific topographical/hydrological features. 
The linkage of protection areas to biotope networks needs 
remote sensed data of linear biotope structures in open areas 
(i.e. hedges) and of the fragmentation effects by infrastructure. 
2.1.4 Forest Planning: Planning tasks generally can be 
improved by the results of a new remote sensed based regional 
forest inventory. Within the mapping of forest functions specific 
tasks are the distinction of forest and open areas and the 
classification of stand structures in regard to habitat, landscape 
and recreational functions. In the case of the management of 
mountain protection major inaccuracies can be eliminated by a 
detailed detection of open forest areas, bare land and avalanche 
zones. For the rehabilitation of mountain protection forests 5- 
year information on tree species composition, vitality, 
regeneration, ground vegetation, forest gaps, snow height and 
snow dynamics should be supplied on stand and tree level 
respectively. 
2.1.5 Advice and financial support: The technical advice of 
forest owners shall be improved especially in regard to the 
expected climate change aspects. Therefore an integrated 
information system is requested, which combines the results of 
the regional forest inventory with data about forest owners as 
address, forest ownership and financial aids. For the control of 
granted subsidies very detailed information on project areas 
(±10m 2 ), species composition (±5%), individual trees (i.e. 
biotope trees) and unstocked areas (±10m 2 ) are needed. 
2.1.6 Public awareness: Forest management relies on the 
support by the public. Forest development and human 
intervention must be understood by the people (e.g. the 
adaptation of the present forest to climate change conditions). 
Therefore the results of the remote sensing applications play an 
important role for the information of the public with 
quantitative data and visual media. 
2.2 Demand on local level 
A census of the forestry professional staff at the local forest 
offices in Bavaria was conducted to derive the information 
requirements on local level. The postal questionnaire 
(Atteslander et al., 2008) consists of three parts: (a) Questions 
on existing information gaps and presently applied remote 
sensing techniques (4 multiple choice questions and 1 open 
question), (b) Questions on potential fields of application for 
remote sensing and on requirements for the determination of 
forest parameters (12 multiple choice and 4 open questions), (c) 
Voluntary personal information to build up a user panel. 
The questionnaire was distributed to 655 individuals 
anonymously. The evaluation of the questionnaire took place by 
classification procedures for open questions and descriptive 
statistics. 347 persons (52 %) responded to the questionnaire. 
The results of the questionnaire were used to answer the 
following research questions: 
2.2.1 Can any benefits be expected from remote sensing 
applications for forestry practice? Two-third of the 
respondents indicated, that they can not sufficiently fulfil all 
duties, because the required information is not available. 90% 
of them expect that the information gap can be closed by remote 
sensing. 
2.2.2 Which remote sensing techniques are applied at 
present? One-half of the respondents interpret visually official 
aerial photos and satellite images from the internet. Frequently 
agricultural information systems, which contain remote sensing 
applications, are applied for forestry tasks. 
2.2.3 What are the priorities for a better application of the 
present remote sensing techniques? Two-third of the 
respondents awaits a major improvement by more actual remote 
sensing products - especially aerial photographs. One half 
expects more information by a better quality of remote sensing 
data. One fifth of the respondents claimed a higher repetition 
frequency by high resolution remote sensing techniques. 
2.2.4 What are the future potential fields of application for 
remote sensing in forestry? 217 potential applications for 
remote sensing were proposed. The main application fields are 
the management of forest damages caused by natural hazards 
and the consulting of private forest land owners. 
2.2.5 Which forest parameters have to be addressed by 
remote sensing applications? Out of 63 forest parameters the 
determination of tree species composition, forest areas, forest 
boundaries and forest stand heights are the most relevant (Table 
1). This information should be available on an annual base and 
at least updated every 5 years. In most cases there exist no 
constraints concerning the recording period during the year. The 
spatial resolution of the delivered information should be at least 
on forest stand level. 
Parameter Relative frequency 
Tree species 12% 
Area of forest, forest stands or damages 11 % 
Boundary of forest, stands or damages 9% 
Stand height 9% 
Growing stock 5% 
Forest stand age 4% 
Forest stand density 4% 
Location of logging roads 4% 
Broadleaved/conifer stands 3% 
Succession type 3% 
Vitality 2% 
Insect pests 2% 
Forest gaps 2% 
Forest regeneration 2% 
Tree species mixture 2% 
Table 1 Ranking of the 15 mostly mentioned parameters to be 
collected by remote sensing 
2.2.6 How should forest professionals be supplied with 
remote sensing products? Two-third of respondents prefers to 
work with standardized remote sensing products available 
through a spatial forest information system. One tenth of the 
staff would use remote sensing data directly or have a demand 
for case specific data analysis by experts.
	        
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