Investigating the potential of Sentinel-1 to detect varying spatial heterogeneity in pasture cover in grasslands

Author(s)
Crabbe, Richard A
Lamb, David W
Edwards, Clare
Publication Date
2021
Abstract
<p>Selective grazing by livestock may be indicative of a site's grass species diversity and depending on the grazing intensity" this may or may not promote further diversity. However, the detection of sites with spatial heterogeneity in pasture cover as a manifestation of selective grazing has not yet been investigated using satellite remote sensing. Thus, this study was conducted to address the question" can Sentinel-1 detect spatial heterogeneity induced by livestock grazing in grassy fields? Since Synthetic Aperture Radar (SAR) imaging is noted to be sensitive to vegetation architectural arrangement, this study used Sentinel-1 C-band SAR to detect spatial heterogeneity created by selective livestock grazing. The study examined a range of semivariogram, grey-level co-occurrence matrix (GLCM), and eigenvector-eigenvalue polarimetric decomposition features. The coefficient of variation estimates of the GLCM contrast feature consistently produced the strongest correlation (<i>R<sup>2</sup></i> = 0.71) with Lloyd's Patchiness Index and semivariogram sill while the polarimetric scattering entropy (range estimates) produced a significant linear correlation with semivariogram sill (<i>R<sup>2</sup></i> = 0.55, <i>p</i> < 0.05). Inferably, the GLCM contrast and polarimetric scattering entropy can predict spatial heterogeneity in a grazing environment. This is the first time polarimetric scattering entropy estimated from Sentinel-1 has been used for the detection of spatial heterogeneity in a grazing landscape, which makes this study different from past similar studies. Nonetheless, we recommend the testing of this parameter (polarimetric scattering entropy) with a multitemporal SAR data and encourage future studies to investigate the potential of Sentinel-1 for the detection of spatial distances between grass clumps.</p>
Citation
International Journal of Remote Sensing, 42(1), p. 274-285
ISSN
1366-5901
0143-1161
Link
Language
en
Publisher
Taylor & Francis
Title
Investigating the potential of Sentinel-1 to detect varying spatial heterogeneity in pasture cover in grasslands
Type of document
Journal Article
Entity Type
Publication

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