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Using optical satellite data and airborne lidar data for a nationwide sampling survey

Lindgren, Nils and Christensen, Pernilla and Nilsson, Björn and Åkerholm, Marianne and Allard, Anna and Reese, Heather and Olsson, Håkan (2015). Using optical satellite data and airborne lidar data for a nationwide sampling survey. Remote sensing. 7:4, 4253-4267
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Official URL: http://dx.doi.org/10.3390/rs70404253

Abstract

A workflow for combining airborne lidar, optical satellite data and National Forest Inventory (NFI) plots for cost efficient operational mapping of a nationwide sample of 5x 5 km squares in the National Inventory of Landscapes in Sweden (NILS) landscape inventory in Sweden is presented. Since the areas where both satellite data and lidar data have a common data quality are limited, and impose a constraint on the number of available NFI plots, it is not feasible to perform classifications in a single step. Instead a stratified approach where canopy cover and canopy height are first predicted from lidar data trained with NFI plots is proposed. From the lidar predictions a forest stratum is defined as grid cells with more than 3m mean tree height and more than 10% vertical canopy cover, the remaining grid cells are defined as open land. Both forest and open land are then classified into broad vegetation classes using optical satellite data. The classification of open land is trained with aerial photo interpretation and the classification of the forest stratum is trained with a new set of NFI plots. The result is a rational procedure for nationwide sample based vegetation characterization.

Authors/Creators:Lindgren, Nils and Christensen, Pernilla and Nilsson, Björn and Åkerholm, Marianne and Allard, Anna and Reese, Heather and Olsson, Håkan
Title:Using optical satellite data and airborne lidar data for a nationwide sampling survey
Series/Journal:Remote sensing (2072-4292)
Year of publishing :2015
Depositing date:23 December 2015
Volume:7
Number:4
Page range:4253-4267
Number of Pages:15
Publisher:Molecular Diversity Preservation International
ISSN:2072-4292
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:E Economics, development, and rural sociology > E11 Land economics and policies
K Forestry > K10 Forestry production
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Agrovoc terms:remote sensing, forest inventories, forest surveys, data collection, classification, satellites
Keywords:lidar, operational, Landsat, nationwide, sampling, mapping
URN:NBN:urn:nbn:se:slu:epsilon-e-3151
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3151
Additional ID:
Type of IDID
Web of Science (WoS)000354789300039
DOI10.3390/rs70404253
ID Code:12929
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:23 Dec 2015 08:02
Metadata Last Modified:10 Feb 2016 17:37

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