Methods for the update and verification of forest surface model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F16%3A00533166" target="_blank" >RIV/60162694:G43__/16:00533166 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/16:00533166 RIV/62156489:43410/16:43909580
Result on the web
<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B4-51-2016" target="_blank" >10.5194/isprsarchives-XLI-B4-51-2016</a>
Alternative languages
Result language
angličtina
Original language name
Methods for the update and verification of forest surface model
Original language description
The digital terrain model (DTM) represents the bare ground earth's surface without any objects like vegetation and buildings. In contrast to a DTM, Digital surface model (DSM) represents the earth's surface including all objects on it. The DTM mostly does not change as frequently as the DSM. The most important changes of the DSM are in the forest areas due to the vegetation growth. Using the LIDAR technology the canopy height model (CHM) is obtained by subtracting the DTM and the corresponding DSM. The DSM is calculated from the first pulse echo and DTM from the last pulse echo data. The main problem of the DSM and CHM data using is the actuality of the airborne laser scanning. This paper describes the method of calculating the CHM and DSM data changes using the relations between the canopy height and age of trees. To get a present basic reference data model of the canopy height, the photogrammetric and trigonometric measurements of single trees were used. Comparing the heights of corresponding trees on the aerial photographs of various ages, the statistical sets of the tree growth rate were obtained. These statistical data and LIDAR data were compared with the growth curve of the spruce forest, which corresponds to a similar natural environment (soil quality, climate characteristics, geographic location, etc.) to get the updating characteristics.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
KA - Militarism
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
ISBN
—
ISSN
1682-1750
e-ISSN
—
Number of pages
4
Pages from-to
51-54
Publisher name
International Society for Photogrammetry and Remote Sensing
Place of publication
Praha
Event location
Praha
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000392752100008