Remote sensing for the Spanish forests in the 21st century: a review of advances, needs, and opportunities

  • Cristina Gómez INIA. Forest Research Centre. Department of Forest Dynamics and Management. Ctra. La Coruña km 7.5 28040 Madrid, Spain. Department of Geography and Environment, School of Geoscience, University of Aberdeen, Aberdeen AB24 3UE, Scotland, UK. http://orcid.org/0000-0002-2756-0863
  • Pablo Alejandro Quasar Science Resources, Ctra. La Coruña km 22.3, Las Rozas, 28232 Madrid. http://orcid.org/0000-0002-6511-9921
  • Txomin Hermosilla Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, British Columbia, V8Z 1M5, Canada. Integrated Remote Sensing Studio, Department of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4. http://orcid.org/0000-0002-5445-0360
  • Fernando Montes INIA. Forest Research Centre. Department of Forest Dynamics and Management. Ctra. La Coruña km 7.5 28040 Madrid. http://orcid.org/0000-0001-5859-8533
  • Cristina Pascual Sustainable Environmental Management Group (SILVANET), Department of Forest and Environmental Engineering and Management. Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid. http://orcid.org/0000-0001-5477-9556
  • Luis Angel Ruiz Geo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia. http://orcid.org/0000-0003-0073-7259
  • Flor Álvarez-Taboada Geomatics and Cartographic Engineering Group (GEOINCA), Department of Cartographic Engineering, Geodesy and Photogrammetry, Universidad de León, Campus de Ponferrada, Avda. Astorga s/n, 24401 Ponferrada, León. http://orcid.org/0000-0002-1530-3309
  • Mihai Tanase Department of Geology, Geography and Environment, University of Alcala, C. Colegios 2, Alcala de Henares 28801, Spain. National Institute for Research and Development in Forestry, Bd. Eroilor 128, Ilfov. http://orcid.org/0000-0002-0045-2299
  • Ruben Valbuena University of Cambridge, Department of Plant Sciences, Forest Ecology and Conservation, Downing Street, CB2 3EA Cambridge, UK. University of Eastern Finland, Faculty of Forest Sciences, PO Box 111, Joensuu, Finland. Bangor University, School of Natural Sciences, LL57 2DGA Bangor. http://orcid.org/0000-0003-0493-7581

Abstract

Forest ecosystems provide a host of services and societal benefits, including carbon storage, habitat for fauna, recreation, and provision of wood or non-wood products. In a context of complex demands on forest resources, identifying priorities for biodiversity and carbon budgets require accurate tools with sufficient temporal frequency. Moreover, understanding long term forest dynamics is necessary for sustainable planning and management. Remote sensing (RS) is a powerful means for analysis, synthesis and report, providing insights and contributing to inform decisions upon forest ecosystems. In this communication we review current applications of RS techniques in Spanish forests, examining possible trends, needs, and opportunities offered by RS in a forestry context. Currently, wall-to-wall optical and LiDAR data are extensively used for a wide range of applications—many times in combination—whilst radar or hyperspectral data are rarely used in the analysis of Spanish forests. Unmanned Aerial Vehicles (UAVs) carrying visible and infrared sensors are gaining ground in acquisition of data locally and at small scale, particularly for health assessments. Forest fire identification and characterization are prevalent applications at the landscape scale, whereas structural assessments are the most widespread analyses carried out at limited extents. Unparalleled opportunities are offered by the availability of diverse RS data like those provided by the European Copernicus programme and recent satellite LiDAR launches, processing capacity, and synergies with other ancillary sources to produce information of our forests. Overall, we live in times of unprecedented opportunities for monitoring forest ecosystems with a growing support from RS technologies.

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Published
2019-06-07
How to Cite
Gómez, C., Alejandro, P., Hermosilla, T., Montes, F., Pascual, C., Ruiz, L. A., Álvarez-Taboada, F., Tanase, M., & Valbuena, R. (2019). Remote sensing for the Spanish forests in the 21st century: a review of advances, needs, and opportunities. Forest Systems, 28(1), eR001. https://doi.org/10.5424/fs/2019281-14221
Section
Reviews