Abstract
The Multi-Spectral Instrument (MSI) aboard the ESA Sentinel-2 (S-2) allows satellite the Normalized Different Vegetation Index (NDVI) to be measured at much higher spatial resolution (10 m) than has been previously possible with space-borne sensors such as Medium Resolution Imaging Spectrometer aboard ENVISAT or Enhanced Thematic Mapper Plus aboard Landsat. Therefore, multi-spectral analysis of remote sensing data today represents an efficient tool for monitoring vegetation in a Mediterranean environment, where spatial resolution often represents a limiting factor due to high fragmentation and spatial distribution of forest stand.
The aim of this study has been to map the health conditions of the Castelporziano coastal pinewood forest (Roma). To this aim, we used a diachronic NDVI index, provided by ESA Sentinel-2 images and field observations, to monitor the health status in a historic pinewood forest that has recently been affected by a rapid diffusion of pests (Tomicus destruens Woll.). The monitoring performed allowed us to map the pinewood forest in risk classes and at the same time to provide data concerning the localization of areas showing a strong decline. Thus, we provide information useful for the correct management and planning of forestry thinning to preserve those areas of the pinewood forest not involved in the decline process.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Frampton, W.J., Dash, J., Watmough, G., Milton, E.J.: Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation. J. Photogrammetry Remote Sens. 82, 83–92 (2013)
Sheeren, D., Fauvel, M., Josipović, V., Lopes, M., Planque, C., Willm, J., Dejoux, J.F.: Tree species classification in temperate forests using formosat-2 satellite image. Time Ser. 8(9), 734 (2016)
Modica, G., Solano, F., Merlino, A., Di Fazio, S., Barreca, F., Laudari, L., Fichera, C. R.: Using landsat 8 imagery in detecting cork oak (Quercus suber L.) woodlands: a case study in Calabria (Italy). J. Agric. Eng. 47(4), 205–215 (2016)
Bannari, A., Morin, D., Bonn, F.: A review of vegetation indices. Remote Sens. Rev. 13, 95–120 (1995)
Maselli, F.: Monitoring forest conditions in a protected mediterranean coastal area by the analysis of multiyear NDVI data. Remote Sens. Environ. 89, 423–433 (2004)
Recanatesi, F., Tolli, M., Ripa, M.N., Pelorosso, R., Gobattoni, F., Leone, A.: Detection of landscape patterns in airborne LIDAR data in the nature reserve of castelporziano (Rome). J. Agric. Eng. XLIV, 472–477 (2013)
Recanatesi, F.: Variations in land-use/land-cover changes (LULCCs) in a peri-urban Mediterranean nature reserve: the estate of Castelporziano (Central Italy), Rend. Fis. Acc. Lincei 26, 517–526 (2014)
Richter, R., Wang, X., Bachmann, M., Schlaepfer, D.: Correction of cirrus effects in sentinel-2 type of imagery. Int. J. Remote Sens. 32, 2931–2941 (2011)
Wang, C., Lu, Z., Haithcoat, T.L.: Detection forest dynamics responding to oack dieback in the Mark Twain National forest, Missouri. For. Ecol. Manage. 240, 70–78 (2007)
Wang, C., He, H.S., Kabrick, J.M.: A remote sensing-assisted risk rating study to predict oak decline and recovery in the Missouri Ozark. GISci. Remote Sens. 45(4), 406–425 (2008)
Ogaya, R., Barbeta, A., Başnou, C., Peñuelas, J.: Satellite data as indicators of tree biomass growth and forest dieback in a Mediterranean holm oak forest. Ann. For. Sci. 72, 135–144 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Recanatesi, F., Giuliani, C., Rossi, C.M., Ripa, M.N. (2019). A Remote Sensing-Assisted Risk Rating Study to Monitor Pinewood Forest Decline: The Study Case of the Castelporziano State Nature Reserve (Rome). In: Calabrò, F., Della Spina, L., Bevilacqua, C. (eds) New Metropolitan Perspectives. ISHT 2018. Smart Innovation, Systems and Technologies, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-92099-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-92099-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92098-6
Online ISBN: 978-3-319-92099-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)