2023
DOI: 10.1016/j.rse.2023.113734
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Uncovering the hidden: Leveraging sub-pixel spectral diversity to estimate plant diversity from space

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Cited by 14 publications
(6 citation statements)
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“…Previous studies have suggested that higher spatial resolution could enhance the relationship between the spatial component of spectral diversity and plant diversity (Wang et al 2018, Pacheco-Labrador et al 2022). We also suggest that another aspect of spatial scale-that is plot size, or in our case, parcel size-influenced our results (Anderson 2018, Gholizadeh et al 2022, Rossi and Gholizadeh 2023. We found that the spatial resolution provided by spaceborne sensors similar to Sentinel-2 was inadequate for effectively employing the SVH in smaller parcels of the Dutch and Swiss sites, but was sufficient for the larger parcels in the U.S. site.…”
Section: The Spatial Perspective On the Plant Diversity-spectral Dive...mentioning
confidence: 65%
See 1 more Smart Citation
“…Previous studies have suggested that higher spatial resolution could enhance the relationship between the spatial component of spectral diversity and plant diversity (Wang et al 2018, Pacheco-Labrador et al 2022). We also suggest that another aspect of spatial scale-that is plot size, or in our case, parcel size-influenced our results (Anderson 2018, Gholizadeh et al 2022, Rossi and Gholizadeh 2023. We found that the spatial resolution provided by spaceborne sensors similar to Sentinel-2 was inadequate for effectively employing the SVH in smaller parcels of the Dutch and Swiss sites, but was sufficient for the larger parcels in the U.S. site.…”
Section: The Spatial Perspective On the Plant Diversity-spectral Dive...mentioning
confidence: 65%
“…Although substantial progress has been made in assessing plant diversity using spaceborne remote sensing over the last two decades (Rocchini et al 2004, Khare et al 2019, Torresani et al 2019, Badourdine et al 2022, Gholizadeh et al 2022, Rossi and Gholizadeh 2023, there are still several unresolved challenges to developing an operational approach to map plant diversity (Hauser et al 2021). Of note is the weak performance of the SVH across highly-fragmented agricultural landscapes (Schmidtlein and Fassnacht 2017, Fassnacht et al 2022, Perrone et al 2023.…”
Section: Introductionmentioning
confidence: 99%
“…In principle, such correction is possible when relying on data with fine spatial resolution (e.g., proximal or UAV-borne sensors) since the spectral signature of single pixels is more likely to belong to a single object type. Moving to coarser spatial resolutions, such as with airborne and spaceborne sensors, spectral unmixing would be required to correctly identify mixed pixels and correct for bare soil presence, as it allows estimating the per-pixel percentage of end members (Asner and Heidebrecht, 2002; Gholizadeh et al, 2018; Rossi and Gholizadeh, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Thus, fine mapping results of large slum patches could be obtained via spectral features and textural features. The negative influence mentioned above would be alleviated with HR/VHR imagery, subpixel mapping [55] or spatiotemporal fusion [56][57][58]. In all, MR Sentinel-2 images with 10 m resolution are almost sufficient for detecting good accuracy of large and medium slum patches, while HR/VHR RS images are required for small slum pockets.…”
Section: Generality and Limitations Of Our Methods With Cssismentioning
confidence: 99%