Environmental ScienceGeographyComputer Science

M. Meroni, Anne Schucknecht, D. Fasbender, Felix Rembold, F. Fava, M. Mauclaire, Deborah Goffner, Luisa M. Di Lucchio, Ugo Leonardi

2017.7.1International Journal of Applied Earth Observation and Geoinformation

DOI: 10.1016/j.jag.2017.02.016

tlooto Summary

A comparative method that analyses the temporal (before/after the intervention) variations of the NDVI of the impacted area with respect to multiple control sites that are automatically selected and provides an estimate of the magnitude of the differential change of the intervention area and the statistical significance of the no-change hypothesis test.

Abstract

Highlights • A rapid, standardised and objective assessment of the biophysical impact of restoration interventions is proposed.• The intervention impact is evaluated by a before–after control-impact sampling design.• The method provides a statistical test of the no-change hypothesis and the estimation of the relative magnitude of the change.• The method is applicable to NDVI and other remote sensing-derived variables.

Citation format

MERONI, M., et al. Remote sensing monitoring of land restoration interventions in semi-arid environments with a before–after control-impact statistical design. International Journal of Applied Earth Observation and Geoinformation, 2017, 59: 42–52.