Potential and Limitations of Grasslands α-Diversity Prediction Using Fine-Scale Hyperspectral Imagery

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 14; p. 2649
• Main Authors: Imran, Hafiz Ali, Gianelle, Damiano, Scotton, Michele, Rocchini, Duccio, Dalponte, Michele, Macolino, Stefano, Sakowska, Karolina, Pornaro, Cristina, Vescovo, Loris
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2021
• Subjects: Accuracy; Agricultural production; Biodiversity; biodiversity indices; Canopies; Coefficient of variation; coefficient of variation (CV); Data acquisition; Ecosystem services; Ecosystems; Experimental farms; Flowers & plants; Grasslands; Heterogeneity; Hyperspectral imaging; Image resolution; man-made grasslands; Mathematical analysis; natural grasslands; optical diversity; Optical properties; Pixels; Plant communities; Remote monitoring; Remote sensing; Resampling; Sensors; Spatial heterogeneity; Species composition; Species richness; Spectra; standard deviation (SD); Vegetation

Plant biodiversity is an important feature of grassland ecosystems, as it is related to the provision of many ecosystem services crucial for the human economy and well-being. Given the importance of grasslands, research has been carried out in recent years on the potential to monitor them with novel...