Mapping tree species in a boreal forest area using RapidEye and lidar data (Record no. 50200)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01992nam a2200265Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-MdCICY |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250625160143.0 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CICY |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | B-16025 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250602s9999 xx |||||s2 |||| ||und|d |
| 245 10 - TITLE STATEMENT | |
| Title | Mapping tree species in a boreal forest area using RapidEye and lidar data |
| 490 0# - SERIES STATEMENT | |
| Volume/sequential designation | Proceedings of SPIE - The International Society for Optical Engineering, 9245, p.Article number 92450Z, 2014 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Tree species composition is one of the criteria required for assessing forest reclamation in the province of Alberta in Canada. This information is also very important for forest management and conservation purposes. In this paper the performances of RapidEye data alone and in combination with the Light Detection And Ranging data is assessed for mapping tree species in a boreal forest area in Alberta. Both the random forest and support vector machine classification techniques were evaluated. A significant improvement in the classification outputs was observed when using both data types. Random forest outperformed the support vector machine classifier. Overall, the difference in acquisition time between the RapidEye and Light Detection And Ranging data did not seem to affect significantly the classification results. Using random forest, six input variables were identified as the most important for the classification process including digital elevation model, terrain slope, canopy height, the red-edge normalized difference vegetation index, and the red-edge and near-infrared bands. © 2014 SPIE. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | LIDAR |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | RANDOM FOREST |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | RAPIDEYE |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | SUPPORT VECTOR MACHINE |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rochdi, N. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yang, X. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Staenz, K. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Patterson, S. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Purdy, B. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://drive.google.com/file/d/1pGWkDfqyl2Jhrgs_kprtTOpO3BBTmdQq/view?usp=drivesdk">https://drive.google.com/file/d/1pGWkDfqyl2Jhrgs_kprtTOpO3BBTmdQq/view?usp=drivesdk</a> |
| Public note | Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Clasificación local |
| Koha item type | Documentos solicitados |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Clasificación local | Ref1 | CICY | CICY | Documento préstamo interbibliotecario | 25.06.2025 | B-16025 | 25.06.2025 | 25.06.2025 | Documentos solicitados |