Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data

  title={Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data},
  author={Johannes Schumacher and Marius Hauglin and Rasmus Astrup and Johannes Breidenbach},
  journal={Forest Ecosystems},
Background The age of forest stands is critical information for forest management and conservation, for example for growth modelling, timing of management activities and harvesting, or decisions about protection areas. However, area-wide information about forest stand age often does not exist. In this study, we developed regression models for large-scale area-wide prediction of age in Norwegian forests. For model development we used more than 4800 plots of the Norwegian National Forest… 

Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data

Background The Norwegian forest resource map (SR16) maps forest attributes by combining national forest inventory (NFI), airborne laser scanning (ALS) and other remotely sensed data. While the ALS

Planning of Commercial Thinnings Using Machine Learning and Airborne Lidar Data

The goal of this study was to predict the need for commercial thinning using airborne lidar data (ALS) with random forest (RF) machine learning algorithm. Two test sites (with areas of 14,750 km2 and

A century of National Forest Inventory in Norway – informing past, present, and future decisions

The relatively simple NFI design has proven to be a robust choice for satisfying steadily increasing information needs and concurrently providing consistent time series and is foreseeing the inclusion of further variables for monitoring ecosystem services, and an increasing demand for mapped information.

A century of national forest inventories – informing past, present and future decisions

In 2019, 100 years had elapsed since the first National Forest Inventory (NFI) was established in Norway. Motivated by a fear of over-exploitation of timber resources, NFIs today enable informed

Setting the forest reference levels in the European Union: overview and challenges

It is concluded that the FRL exercise was challenging but improved the modelling capacity and data availability at country scale, and contributes to increase the transparency of the implementation of forest-related EU policies and provides evidence-based support to future policy development.

Southwestern ponderosa pine forest patterns following wildland fires managed for resource benefit differ from reference landscapes

Context Managers aiming to utilize wildland fire to restore southwestern ponderosa pine landscapes require better understanding of forest cover patterns produced at multiple scales. Restoration

Value of Information on Root and Butt Rot Presence When Choosing Tree Species for a Previously Spruce-Dominated Stand in Norway

Because the two common tree species in Norway, Picea abies L. Karst (Norway spruce) and Pinus sylvestris L. (Scots pine), differ in their susceptibility to the fungus Heterobasidion spp., converting



Predicting stand age in managed forests using National Forest Inventory field data and airborne laser scanning

Background The aim of this study was to construct a nationwide stand age model by using National Forest Inventory (NFI) data and nationwide airborne laser scanning (ALS) data. In plantation forestry,

Countrywide Estimates of Forest Variables Using Satellite Data and Field Data from the National Forest Inventory

The production line that was developed to create a countrywide database of forest variable estimates in a cost-efficient way is described and results showed 33% overall root mean square error for the estimates of total wood volume, and 23% for the age estimates.

Developing an airborne laser scanning dominant height model from a countrywide scanning survey and national forest inventory data

Abstract An airborne laser scanning (ALS) dominant height model was developed based on data from a national scanning survey with the aim of developing a digital terrain model (DTM) for Denmark. Data

Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with lidar plots

Many areas of forest across northern Canada are challenging to monitor on a regular basis as a result of their large extent and remoteness. Although no forest inventory data typically exist for these

Forest information at multiple scales: development, evaluation and application of the Norwegian forest resources map SR16

When SR16 was utilized in a combination with the NFI plots and a model-assisted estimator, the precision was on average 2–3 times higher than estimates based on field data only.

Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland

The results indicated that the accuracy of the estimates of stand attributes derived by using NFI training data was close to that of the fixed area plot training data but that the NFI sampling scheme and the georeferencing of the plots can cause problems in practical applications.

Mapping forest stand age in China using remotely sensed forest height and observation data

Forest stand age plays a crucial role in determining the terrestrial carbon source or sink strength and reflects major disturbance information. Forests in China have changed drastically in recent

Spatially explicit estimation of forest age by integrating remotely sensed data and inverse yield modeling techniques

Abstract: In this work we present an innovative method based on the application of inverse yield models for producing spatially explicit estimations of forest age. Firstly, a raster growing stock