0000000000101556
AUTHOR
B.e.l. Cerabolini
A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data
This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…
The SISV support to the implementation of a national manual for monitoring the Habitats of the 92/43/EEC Directive in Italy.
The 4th National Report ex Art. 17 of the 92/43/EEC Directive in Italy (period 2013-2018) will try to fill a number of gaps still affecting the former versions of the Italian Reports, where territorial data were still missing for large parts of the country and the assessment was mostly based on the use of the expert opinion. Similar inconsistencies also emerged in other European countries (State of nature in the EU, EEA 2015). In order to reach this aim, a nationally shared protocol for monitoring the vegetation-based Annex I Habitats is currently under development. The most prominent issues addressed by the ongoing project are: i) fixing standardized, updated and scientifically grounded me…