Comparison of Grid-Based and Segment-Based Estimation of Forest Attributes Using Airborne Laser Scanning and Digital Aerial Imagery

Author： Tuominen Sakari   Haapanen Reija  

Publisher： MDPI

E-ISSN： 2072-4292|3|5|945-961

ISSN： 2072-4292

Source： Remote Sensing, Vol.3, Iss.5, 2011-05, pp. : 945-961

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Evaluating the Performance of Photogrammetric Products Using Fixed-Wing UAV Imagery over a Mixed Conifer–Broadleaf Forest: Comparison with Airborne Laser Scanning

By Jayathunga Sadeepa   Owari Toshiaki   Tsuyuki Satoshi  

Remote Sensing, Vol. 10, Iss. 2, 2018-01 ,pp. : 187-187

MDPI

Access to resources Recommend Favorite

Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling

By Tompalski Piotr   Coops Nicholas C.   Marshall Peter L.   White Joanne C.   Wulder Michael A.   Bailey Todd  

Remote Sensing, Vol. 10, Iss. 2, 2018-02 ,pp. : 347-347

MDPI

Access to resources Recommend Favorite

Advances in Forest Inventory Using Airborne Laser Scanning

By Hyyppä Juha   Yu Xiaowei   Hyyppä Hannu   Vastaranta Mikko   Holopainen Markus   Kukko Antero   Kaartinen Harri   Jaakkola Anttoni   Vaaja Matti   Koskinen Jarkko   Alho Petteri  

Remote Sensing, Vol. 4, Iss. 5, 2012-05 ,pp. : 1190-1207

MDPI

Access to resources Recommend Favorite

Aboveground Biomass Estimation of Individual Trees in a Coastal Planted Forest Using Full-Waveform Airborne Laser Scanning Data

By Cao Lin   Gao Sha   Li Pinghao   Yun Ting   Shen Xin   Ruan Honghua  

Remote Sensing, Vol. 8, Iss. 9, 2016-09 ,pp. : 729-729

MDPI

Access to resources Recommend Favorite

Extracting Canopy Surface Texture from Airborne Laser Scanning Data for the Supervised and Unsupervised Prediction of Area-Based Forest Characteristics

By Niemi Mikko T.   Vauhkonen Jari  

Remote Sensing, Vol. 8, Iss. 7, 2016-07 ,pp. : 582-582

MDPI

Access to resources Recommend Favorite