A multi-temporal object-based image analysis to detect long-lived shrub cover changes in drylands

Emilio Guirado*, Javier Blanco-Sacristán, Juan Pedro Rigol-Sánchez, Domingo Alcaraz-Segura, Javier Cabello

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Climate change and human actions condition the spatial distribution and structure of vegetation, especially in drylands. In this context, object-based image analysis (OBIA) has been used to monitor changes in vegetation, but only a few studies have related them to anthropic pressure. In this study, we assessed changes in cover, number, and shape of Ziziphus lotus shrub individuals in a coastal groundwater-dependent ecosystem in SE Spain over a period of 60 years and related them to human actions in the area. In particular, we evaluated how sand mining, groundwater extraction, and the protection of the area affect shrubs. To do this, we developed an object-based methodology that allowed us to create accurate maps (overall accuracy up to 98%) of the vegetation patches and compare the cover changes in the individuals identified in them. These changes in shrub size and shape were related to soil loss, seawater intrusion, and legal protection of the area measured by average minimum distance (AMD) and average random distance (ARD) analysis. It was found that both sand mining and seawater intrusion had a negative effect on individuals; on the contrary, the protection of the area had a positive effect on the size of the individuals' coverage. Our findings support the use of OBIA as a successful methodology for monitoring scattered vegetation patches in drylands, key to any monitoring program aimed at vegetation preservation.

Original languageEnglish (US)
Article number2649
JournalRemote Sensing
Volume11
Issue number22
DOIs
StatePublished - Nov 1 2019

Keywords

  • Arid zones
  • Cabo de Gata-Níjar Natural Park
  • Drylands
  • Object-based
  • Seawater intrusion
  • Soil loss
  • Southeast Spain
  • Time series classification
  • Very high-resolution images
  • Ziziphus lotus

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Fingerprint

Dive into the research topics of 'A multi-temporal object-based image analysis to detect long-lived shrub cover changes in drylands'. Together they form a unique fingerprint.

Cite this