Next Article in Journal
Domain Transfer Learning for Hyperspectral Image Super-Resolution
Previous Article in Journal
Urban Mapping Accuracy Enhancement in High-Rise Built-Up Areas Deployed by 3D-Orthorectification Correction from WorldView-3 and LiDAR Imageries
Article Menu
Issue 6 (March-2) cover image

Export Article

Open AccessArticle

Complementarity between Textural and Radiometric Indices From Airborne and Spaceborne Multi VHSR Data: Disentangling the Complexity of Heterogeneous Landscape Matrix

TETIS, AgroParisTech, CIRAD, CNRS, IRSTEA, Univ Montpellier, 34000 Montpellier, France
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(6), 693; https://doi.org/10.3390/rs11060693
Received: 24 January 2019 / Revised: 17 March 2019 / Accepted: 19 March 2019 / Published: 22 March 2019
  |  
PDF [8216 KB, uploaded 22 March 2019]
  |     |  

Abstract

The quantitative characterization of landscape structure is critical to assess conservation, and monitor and manage biodiversity. The Mediterranean Basin is a biodiversity hotspot that illustrates the strong relationship between biodiversity and the complexity of the landscape mosaic. Our objective was to test the relevance of two textural indices and one radiometric index (the normalized difference vegetation index (NDVI)) to characterize vegetation structure. These indices could be used as indicators of vegetation composition and organization of four vertical strata when derived from airborne and Pléiades space-borne VHSR imagery. More specifically, we analyzed the influence of the spatial resolution and the radiometric information on the characterization of the landscape structure. Our results indicated that NDVI information at 0.5 m spatial resolution was necessary to be able to incorporate the heterogeneity of vegetation structure. Indices derived from lower resolution NDVI images or different radiometric information than airborne images also proved to be sensitive to vegetation fragmentation and composition. NDVI images brought out details on ligneous/herbs patterns while panchromatic image brought out more details on herbs/bare soil patterns. Combined textural and NDVI indices show strong potential for vegetation structure understanding, allowing detailed mapping. NDVI information shows good potential for applications related to landscape closure dynamics; related habitat degradation indicators caused by shrub encroachment. Panchromatic derived information, on the other hand, provides information relevant in applications focusing grazing management. View Full-Text
Keywords: landscape structure; heterogeneity; FOTO; texture indices; very high resolution optical images; habitat monitoring landscape structure; heterogeneity; FOTO; texture indices; very high resolution optical images; habitat monitoring
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Lang, M.; Alleaume, S.; Luque, S.; Baghdadi, N.; Féret, J.-B. Complementarity between Textural and Radiometric Indices From Airborne and Spaceborne Multi VHSR Data: Disentangling the Complexity of Heterogeneous Landscape Matrix. Remote Sens. 2019, 11, 693.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top