| Conţinutul numărului revistei |
| Articolul precedent |
| Articolul urmator |
 481 1 |
| Ultima descărcare din IBN: 2020-06-25 13:55 |
| Căutarea după subiecte similare conform CZU |
| 528.8:630 (2) |
| Geodezie. Topografie. Fotogrametrie. Cartografie (112) |
| Silvicultură (331) |
 SM ISO690:2012MARCU, Casiana, STATESCU, Florian, IURIST (DUMITRAȘCU), Nicoleta. A GIS-based algorithm to generate a Lidar pit-free canopy height model. In: Present Environment and Sustainable Development , 2017, nr. 2, pp. 89-95. ISSN 1843-5971. DOI: https://doi.org/10.1515/pesd-2017-0027 |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Present Environment and Sustainable Development | ||||||
| Numărul 2 / 2017 / ISSN 1843-5971 /ISSNe 2284-7820 | ||||||
|
||||||
| DOI:https://doi.org/10.1515/pesd-2017-0027 | ||||||
| CZU: 528.8:630 | ||||||
| Pag. 89-95 | ||||||
|
||||||
| Rezumat | ||||||
Lidar has provided significant benefits for forest development and engineering operations and provides a good means to collect information on forest stands. A common analysis using LiDAR data computes the CHM as a difference between DSM and DTM, create a DTM from the ground returns and a DSM from the first returns and subtract the two rasters, but how exactly are generated the DTM and the DSM. Irregular height variations, called data pits are present in the CHM and appear when the first Lidar return is far below the canopy. The purpose of this study is an approach that computes the CHM directly from height-normalized LiDAR points. |
||||||
| Cuvinte-cheie GIS, LiDAR, CHM, LAStools, “pit-free” |
||||||
|
|
|
|
