Date : July 21, 2026
Beijing, China : A peer-reviewed research published in Biological Diversity 2026 delivers a systematic performance comparison of three mainstream remote sensing data sources for plant biodiversity assessment in temperate sandy grasslands, filling critical research gaps on dryland ecosystem spectral monitoring.
Led by researchers from Minzu University of China, the team conducted field surveys across 140 1 m×1 m quadrats covering four habitat types (interdune lowlands, fixed, semifixed and mobile sand dunes) in Inner Mongolia’s Hunshandak Sandland during the 2016 peak growing season. They acquired cloud-free Landsat-8 OLI (30 m resolution), SPOT-7 (6 m resolution) satellite imagery and in-situ ASD hyperspectral measurements, preprocessed all datasets via atmospheric correction, Savitzky–Golay noise smoothing and coordinate co-registration, then extracted spectral bands, 66 vegetation indices and texture metrics for statistical testing.
Multiple biodiversity metrics were calculated, including species richness, Shannon–Wiener, Simpson, Pielou and Whittaker β diversity indices. Spearman correlation with FDR significance correction was applied to quantify links between spectral variables and plant diversity, splitting field data into 80% training and 20% validation subsets for model evaluation.
Key results demonstrate clear sensor performance hierarchies: SPOT-7 exhibits the strongest correlation with alpha diversity, field hyperspectral data ranks intermediate, while coarse-resolution Landsat-8 performs weakest due to severe mixed-pixel interference. Red-edge spectral indicators and fine-scale texture metrics serve as the most robust proxies for biodiversity, whereas conventional greenness indices (NDVI, SAVI, EVI) show negligible explanatory power under sparse vegetation and strong bare sand background noise. Red and near-infrared bands carry far more ecological information than blue and green bands for sandy grassland monitoring.
The research validates the scale-dependent Spectral Variation Hypothesis in arid sandy ecosystems, highlighting a core trade-off between spatial resolution, spectral bandwidth and plot-pixel matching. The team concludes no single sensor can fully capture all dimensions of plant diversity, advocating multi-source, multi-scale remote sensing fusion for future dryland biodiversity conservation and management.
Original Source
Y. Ye, J. Lan, X. Zhang, and Y. Peng, “Comparative Assessment of Landsat-8 and SPOT-7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands,” Biological Diversity (2026): 1–13.
https://onlinelibrary.wiley.com/doi/10.1002/bod2.70031
Keywords
biodiversity, remote sensing observation, sandy grassland, species richness, spectral diversity
About the Author
Yu Peng ( f irst author and c orresponding a uthor ), Professor and Doctoral Supervisor at the College of Life and Environmental Sciences, Minzu University of China, serves as a regular peer reviewer for numerous academic journals including Environmental Management , Science of The Total Environment , Remote Sensing , Scientific Reports , and Chinese core journals Acta Ecologica Sinica , Chinese Journal of Applied Ecology and Chinese Journal of Ecology , and received the Best Reviewer Award on the 40th Anniversary of the founding of Acta Ecologica Sinica ; he also holds academic social positions as Deputy Secretary-General of the Long-Term Ecology Special Committee of the Ecological Society of China, Director of the Beijing Society for Biodiversity Science, and Guest Editor of Diversity , and has presided over 8 research projects, published a total of 75 academic papers (43 of which are SCI-indexed articles) and authored 4 monographs.
About the Journal
Biological Diversity (ISSN: 2994-4139) is a peer-reviewed, international, open-access journal sponsored by the South China Botanical Garden (SCBG), Chinese Academy of Sciences (CAS), and published in partnership with John Wiley & Sons Australia, Ltd. It is dedicated to advancing biodiversity conservation, safeguarding ecosystem functions and services, and promoting the sustainable utilization of biological resources under global environmental change. The journal welcomes original research, reviews, commentaries, and short communications across a broad spectrum of disciplines, including botany, zoology, microbiology, taxonomy, phylogenetics, genomics, cytology, ecology, climatology, economics, sociology, and real-time policy theory.
Biological Diversity
Experimental study
Not applicable
Comparative Assessment of Landsat-8 and SPOT-7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands
16-Jul-2026
Conflicts of Interest: The authors declare no conflicts of interest. Ethics Statement: This study is original, and all relevant authors whose work relates to this research area have been appropriately acknowledged and cited.