Ninni Saarinen

发表

Assessing spectral measures of post-harvest forest recovery with field plot data

Juha Hyyppä, Joanne C. White, Txomin Hermosilla, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands

Juha Hyyppä, Ninni Saarinen, Mikko Vastaranta, 2020, Remote. Sens..

Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries

Juha Hyyppä, Harri Kaartinen, Hannu Hyyppä, 2014, Remote. Sens..

Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning

Juha Hyyppä, Ninni Saarinen, Ville Kankare, 2020, Remote. Sens..

What it takes to refine world-calss research into high-class education

Juha Hyyppä, Harri Kaartinen, Hannu Hyyppä, 2013 .

Allocating tree crown pruning with ALS-data - A case study in the city of Helsinki

Juha Hyyppä, Ninni Saarinen, Ville Kankare, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

Deriving canopy metrics of urban trees from airborne laser scanning data

Ninni Saarinen, Ville Kankare, Markus Holopainen, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

Feasibility of laser scanning and photogrammetric 3D approaches for mapping and monitoring a riverine environment

Juha Hyyppä, Anttoni Jaakkola, Harri Kaartinen, 2016 .

Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests

Juha Hyyppä, Xinlian Liang, Ninni Saarinen, 2019, Remote. Sens..

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands

Juha Hyyppä, Eija Honkavaara, Niko Viljanen, 2020, ISPRS Int. J. Geo Inf..

Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning

Juha Hyyppä, Xinlian Liang, Yunsheng Wang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

Juha Hyyppä, Eija Honkavaara, Teemu Hakala, 2018, Remote. Sens..

International benchmarking of terrestrial laser scanning approaches for forest inventories

Norbert Pfeifer, Bisheng Yang, Xinlian Liang, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

Anttoni Jaakkola, Harri Kaartinen, Antero Kukko, 2013, Remote. Sens..

Accuracy of High-Altitude Photogrammetric Point Clouds in Mapping

Juha Hyyppä, Eija Honkavaara, Ninni Saarinen, 2017 .

Evaluation of a Smartphone App for Forest Sample Plot Measurements

Juha Hyyppä, Ninni Saarinen, Markus Holopainen, 2015 .

Using multi-source data to map and model the predisposition of forests to wind disturbance

Juha Hyyppä, Eija Honkavaara, Paula Litkey, 2016 .

Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2017 .

Examining Changes in Stem Taper and Volume Growth with Two-Date 3D Point Clouds

Juha Hyyppä, Harri Kaartinen, Antero Kukko, 2019, Forests.

UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS AND HYPERSPECTRAL IMAGING FOR MAPPING BIODIVERSITY INDICATORS IN BOREAL FORESTS

Juha Hyyppä, Eija Honkavaara, Teemu Hakala, 2017 .

Monitoring Forests in Space and Time Using Close-Range Sensing

Ninni Saarinen, Ville Kankare, Mikko Vastaranta, 2020 .

Monitoring downed coarse woody debris through appearance of canopy gaps in urban boreal forests with bitemporal ALS data

Ninni Saarinen, Ville Kankare, Markus Holopainen, 2015 .

Landsat archive holdings for Finland: opportunities for forest monitoring

Annika Kangas, Juha Hyyppä, Sakari Tuominen, 2018 .

Urban-Tree-Attribute Update Using Multisource Single-Tree Inventory

Juha Hyyppä, Hannu Hyyppä, Ninni Saarinen, 2014 .

Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy

Markus Hollaus, Juha Hyyppä, Xiaowei Yu, 2018, International Journal of Remote Sensing.

Variability of wood properties using airborne and terrestrial laser scanning

Juha Hyyppä, Nicholas C. Coops, Xinlian Liang, 2019 .

Evaluating the performance of high-altitude aerial image-based digital surface models in detecting individual tree crowns in mature boreal forests

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2016 .

Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation

Juha Hyyppä, Ninni Saarinen, Ville Kankare, 2020 .

Characterizing Seedling Stands Using Leaf-Off and Leaf-On Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle

Juha Hyyppä, Eija Honkavaara, Teemu Hakala, 2019, Forests.

Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data

Juha Hyyppä, Nicholas C. Coops, Michael A. Wulder, 2018, Remote Sensing of Environment.

Airborne Laser Scanning Outperforms the Alternative 3D Techniques in Capturing Variation in Tree Height and Forest Density in Southern Boreal Forests

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2018 .