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The Petawawa Research Forest: Establishment of a remote sensing supersite

Publication: The Forestry Chronicle7 January 2020https://doi.org/10.5558/tfc2019-024

Abstract

The pace of technological change in forest inventory and monitoring over the past 50 years has been remarkable, largely asa result of the increased availability of various forms of remotely sensed data. Benchmarking sites, with the requisite refer-ence and baseline data for evaluating the capacities of new technologies, algorithms, and approaches, can be extremely valu-able for sparking innovation, as well as for enabling transparent and scientifically sound assessments of technologies, newdata streams, and associated information outcomes. Herein we describe the establishment of a remote sensing supersite atthe Petawawa Research Forest (PRF) in southern Ontario, Canada, and summarize the open access datasets that have beencompiled and made available to the public. The PRF is approximately 10 000 ha in size and represents a complex assemblageof tree species and forest structures. More than 1900 data records, including multiple airborne laser scanning datasets andassociated derivatives (i.e., digital terrain model, canopy height model), airborne imagery, satellite remote sensing timeseries, and ground plot data, among others, have been made openly available for download from Canada’s National ForestInformation System. We identify issues and present opportunities associated with the establishment of a remote sensingsupersite at the PRF, as well as share some of the lessons learned to foster the establishment and open data sharing for othernational and international remote sensing supersites. The PRF supersite can be accessed from the following link:https://opendata.nfis.org/mapserver/PRF.html.

Résumé

La vitesse des changements technologiques en matière d’inventaire forestier et de suivi au cours des 50 dernières années aété remarquable, principalement à la suite de la disponibilité accrue des différentes formes de données acquises par télédé-tection. Les sites d’analyse comparative, comprenant des informations de référence et des données de base destinées à l’éva-luation des capacités des toutes nouvelles technologies, algorithmes et approches, peuvent s’avérer extrême précieux lors dudéveloppement d’une innovation, tout en permettant des évaluations transparentes et scientifiquement fondées des techno-logies, des nouveaux ensembles de données et des retombées connexes en matière d’information. Nous décrivons dans cetarticle la mise en place d’un supersite de télédétection dans la Forêt expérimentale de Petawawa (FEP) située dans le sud del’Ontario au Canada et nous présentons un condensé des ensembles de données de libre accès qui ont été compilés et rendusdisponibles au public. La FEP couvre approximativement 10 000 ha et constitue un assemblage complexe d’espèces d’arbreset de structures forestières. Plus de 1 900 ensembles de données, incluant de nombreux ensembles de données provenant debalayage scanner par des lasers aéroportés, ainsi que leurs dérivés connexes (par ex., des modèles numériques du terrain, desmodèles de la hauteur des cimes), des représentations aéroportées, des ensembles de données chronologiques provenant detélédétections par satellite et des données terrestres tirées de parcelles, entre autres, sont facilement accessibles pour téléchar-gement à partir du Système d’information sur les forêts nationales du Canada. Nous avons identifié les enjeux et les oppor-tunités présentes associées à la mise en place d’un supersite de télédétection dans la FEP, en plus de présenter les leçonsreliées à la sensibilisation envers la mise en place et le partage des données pour les autres supersites nationaux et interna-tionaux de télédétection. Le supersite de la FEP peut être accédé en suivant le lien : https://opendata.nfis.org/mapserver/PRF.html.

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Published In

The Forestry Chronicle cover image
The Forestry Chronicle
Volume 95Number 03December 2019
Pages: 149 - 156

History

Published online: 7 January 2020

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Key Words

  1. forest
  2. inventory
  3. open data
  4. LiDAR
  5. Landsat
  6. time series
  7. Sentinel
  8. monitoring

Mots-clés

  1. forêt
  2. inventaire
  3. données libres
  4. LiDAR
  5. séries chronologiques
  6. Sentinel
  7. suivi

Authors

Affiliations

Joanne C. White joanne.white@canada.ca
Canadian Forest Service, Pacific Forestry Centre, 506 Burnside Road West, Victoria, British Columbia, V8Z 1M5
Hao Chen
Canadian Forest Service, Pacific Forestry Centre, 506 Burnside Road West, Victoria, British Columbia, V8Z 1M5
Murray E. Woods
Canadian Forest Service, Canadian Wood Fibre Centre, 1219 Queen Street East, Sault Ste. Marie, ON, Canada P6A 2E5
Ontario Ministry of Natural Resources and Forestry, Provincial Services Division, Science and Research Branch, 3301 Trout Lake Road, North Bay, Ontario, P1A 4L7
Brian Low
Canadian Forest Service, Pacific Forestry Centre, 506 Burnside Road West, Victoria, British Columbia, V8Z 1M5
Sasha Nasonova
Canadian Forest Service, Pacific Forestry Centre, 506 Burnside Road West, Victoria, British Columbia, V8Z 1M5

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