Area-Wide Products-Reference-Cited by-同舟云学术

Area-Wide Products

Published:2019 Issue: Volume: Page:125-142
ISSN:1568-1319
Container-title:Swiss National Forest Inventory – Methods and Models of the Fourth Assessment
language:
Short-container-title:

Author:

Ginzler Christian,Price Bronwyn,Bösch Ruedi,Fischer Christoph,Hobi Martina L.,Psomas Achilleas,Rehush Natalia,Wang Zuyuan,Waser Lars T.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19293-8_7

Reference25 articles.

1. Barrett F, McRoberts RE, Tomppo E, Cienciala E, Waser LT (2016) A questionnaire-based review of the operational use of remotely sensed data by national forest inventories. Remote Sens Environ 174:279–289

2. Breiman L (2001) Random forests. Mach Learn 45:5–32

3. Choi O, Kweon IS (2009) Robust feature point matching by preserving local geometric consistency. Comput Vis Image Underst 113(6):726–742

4. Debeljak M, Poljanec A, Zenko B (2014) Modelling forest growing stock from inventory data: a datamining approach. Ecol Indic 41:30–39

5. DeVenecia K, Walker S, Zhang B (2007) New approaches to generating and processing high resolution elevation data with imagery. Photogrammetric Week 07:297–308

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geospatial modelling of large-wood supply to rivers: a state-of-the-art model comparison in Swiss mountain river catchments;Earth Surface Dynamics;2023-06-20

2. Multisource forest inventories: A model-based approach using k-NN to reconcile forest attributes statistics and map products;ISPRS Journal of Photogrammetry and Remote Sensing;2022-10

3. Growing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation;Forest Ecology and Management;2022-02

4. Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques;International Journal of Applied Earth Observation and Geoinformation;2021-12

5. Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries;ISPRS Journal of Photogrammetry and Remote Sensing;2021-10