Detection of changes in semi-natural grasslands by cross correlation analysis with WorldView-2 images and new Landsat 8 data

Cristina Tarantino, Mario Adamo, R. Lucas, Palma Blonda

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)
35 Downloads (Pure)

Abstract

Focusing on a Mediterranean Natura 2000 site in Italy, the effectiveness of the cross correlation analysis (CCA) technique for quantifying change in the area of semi-natural grasslands at different spatial resolutions (grain) was evaluated. In a fine scale analysis (2 m), inputs to the CCA were a) a semi-natural grasslands layer extracted from an existing validated land cover/land use (LC/LU) map (1:5000, time T1) and b) a more recent single date very high resolution (VHR) WorldView-2 image (time T2), with T2 > T1. The changes identified through the CCA were compared against those detected by applying a traditional post-classification comparison (PCC) technique to the same reference T1 map and an updated T2 map obtained by a knowledge driven classification of four multi-seasonal Worldview-2 input images. Specific changes observed were those associated with agricultural intensification and fires. The study concluded that prior knowledge (spectral class signatures, awareness of local agricultural practices and pressures) was needed for the selection of the most appropriate image (in terms of seasonality) to be acquired at T2. CCA was also applied to the comparison of the existing T1 map with recent high resolution (HR) Landsat 8 OLS images. The areas of change detected at VHR and HR were broadly similar with larger error values in HR change images.
Original languageEnglish
Pages (from-to)65-72
Number of pages8
JournalRemote Sensing of Environment
Volume175
Early online date08 Jan 2016
DOIs
Publication statusPublished - 15 Mar 2016
Externally publishedYes

Keywords

  • change detection
  • semi-natural grasslands
  • Earth observation data
  • very high resolution
  • Landsat 8 OLS

Fingerprint

Dive into the research topics of 'Detection of changes in semi-natural grasslands by cross correlation analysis with WorldView-2 images and new Landsat 8 data'. Together they form a unique fingerprint.

Cite this