Can we monitor coppice clearcuts from Satellite?

Monitoring forest clear cut is considered crucial to quantify and to mesure sustainible forest management Indicator.  The new research paper focus on the use of Landsat Time series data to quantify forest recovery rate of coppice clearcuts.
We used a refernce ground dataset of clearcut among a period fifteen yars (1999-2015) and we found that:

• Coppice clearcuts can be study from satellite images analyzing the spectral trajectories derived by multitemporal satellite data;
• The  Vegetation Index spectral trajectories analysis  can be use to detect the year of clearcut and the revovery rate of forests;
• Clearcut areas in coppice forests have a very rapid post- harvest recovery (i.e. 2-4 years) comparing to the ones reported by other authors for boreal and continental forests (i.e. >10 years)
• Thanks to the Canopy Height Model derived by Airborne Laser Scanner data we measured height increment of coppice forest that is approximattelly 1 meter per year in the first 10 years after the cut.

The full paper is available in Annals of Forest Science at this link https://link.springer.com/article/10.1007/s13595-020-00936-2

sen2r is an R package developed by the Institute of Remote Sensing of Environment (IREA) of the Italian National Research Council, with the aim to simplify and speed up several steps commonly needed to process Sentinel-2 data. Recently, an important recognition to the worth and usefulness of this tool came from the ISI journal Computers & Geosciences, publishing the scientific paper “sen2r”: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data.

Up to the 14th of May 2020, it is possible to get free access to the manuscript at this link: https://authors.elsevier.com/a/1ao0SMMTPaksz.

The paper provides an overview of the functionalities of the package, including the description of a use case in the framework of a Service-Oriented Architecture (further information can be found at this link).

sen2r is released with license GNU GPL-3, so it can be freely accessed and modified by users. The complete reference to the article, here reported, is to be used in scientific works that exploit the package:

Ranghetti, M. Boschetti, F. Nutini, L. Busetto (2020). “sen2r: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data”. Computers & Geosciences, 139, 104473. DOI: 10.1016/j.cageo.2020.104473, URL: http://sen2r.ranghetti.info.