Shallow sea topography detection using fully Polarimetric Gaofen-3 SAR data based on swell patterns

Compared to single-polarization synthetic aperture radar(SAR)data,fully polarimetric SAR data can provide more detailed information of the sea surface,which is important for applications such as shallow sea topography detection.The Gaofen-3 satellite provides abundant polarimetric SAR data for ocean research.In this paper,a shallow sea topography detection method was proposed based on fully polarimetric Gaofen-3 SAR data.This method considers swell patterns and only requires SAR data and little prior knowledge of the water depth to detect shallow sea topography.Wave tracking was performed based on preprocessed fully polarimetric SAR data,and the water depth was then calculated considering the wave parameters and the linear dispersion relationships.In this paper,four study areas were selected for experiments,and the experimental results indicated that the polarimetric scattering parameterαhad higher detection accuracy than quad-polarization images.The mean relative errors were 14.52%,10.30%,12.56%,and 12.90%,respectively,in the four study areas.In addition,this paper also analyzed the detection ability of this model for different topographies,and the experiments revealed that the topography could be well recognized when the topography gradient is small,the topography gradient direction is close to the wave propagation direction,and the isobath line is regular.

High-Frequency Observations of Oceanic Internal Waves from Geostationary Orbit Satellites

The Geostationary Orbiting Satellite(GOS)offers extensive opportunities for the study of oceanic internal waves(IWs)through high-frequency observations.In this study,the spatial and temporal distributions of sunglint from 3 GOSs(Himawari-8,FY-4A,and GK-2A)were calculated,and the observation times of IWs in various seas were also recorded.The GOS can continuously observe IWs at a frequency of 10 min for 2 to 3 h.As demonstrated by the application to IWs in the Andaman Sea,the GOS effectively captures the surface features of IWs,including soliton number,the length and wavelength of the leading wave,and the speed and direction of propagation.Furthermore,the GOS can be used to track the dynamic processes of IWs within a short duration and provide more accurate“instantaneous”phase speeds.In the case of the Indonesian Seas,the average error of the GOS-derived phase speeds is 0.13 m/s compared to the Korteweg–de Vries phase speeds.Additionally,a 7-day observation from FY-4A suggests the possibility of diurnal IWs in the Sulu Sea.The advent of high-temporal-resolution GOS provides an enriched dataset for oceanic IW studies,which will contribute greatly to a more comprehensive understanding of IW mechanisms.

Whole genome re-sequencing reveals evolutionary patterns of sacred lotus (Nelumbo nucifera)

Sacred lotus(Nelumbo nucifera or lotus) is an important aquatic plant in horticulture and ecosystems. As a foundation for exploring genomic variation and evolution among different germplasms, we re-sequenced 19 individuals from three cultivated temperate lotus subgroups(rhizome,seed and flower lotus), one wild temperate lotus subgroup(wild lotus), one tropical lotus group(Thai lotus) and an outgroup(Nelumbo lutea). Through genetic diversity and polymorphism analysis by non-missing SNP sites widely distributed in the whole genome, we confirmed that wild and Thai lotus exhibited greater differentiation with a higher genomic diversity compared to cultivated lotus. Rhizome lotus had the lowest genomic diversity and a closer relationship to wild lotus, whereas the genomes of seed and flower lotus were admixed. Genes in energy metabolism process and plant immunity evolved rapidly in lotus, reflecting local adaptation.We established that candidate genes in genomic regions with significant differentiation associated with temperate and tropical lotus divergence always exhibited highly divergent expression pattern. Together, this study comprehensive and credible interpretates important patterns of genetic diversity and relationships, gene evolution, and genomic signature from ecotypic differentiation of sacred lotus.

Genomic divergence in cotton germplasm related to maturity and heterosis

Commercial varieties of upland cotton(Gossypium hirsutum)have undergone extensive breeding for agronomic traits,such as fiber quality,disease resistance,and yield.Cotton breeding programs have widely used Chinese upland cotton source germplasm(CUCSG)with excellent agronomic traits.A better understanding of the genetic diversity and genomic characteristics of these accessions could accelerate the identification of desirable alleles.Here,we analyzed 10,522 high-quality singlenucleotide polymorphisms(SNP)with the CottonSNP63 K microarray in 137 cotton accessions(including 12 hybrids of upland cotton).These data were used to investigate the genetic diversity,population structure,and genomic characteristics of each population and the contribution of these loci to heterosis.Three subgroups were identified,in agreement with their knownpedigrees,geographical distributions,and times since introduction.For each group,we identified lineagespecific genomic divergence regions,which potentially harbor key alleles that determine the characteristics of each group,such as early maturity-related loci.Investigation of the distribution of heterozygous loci,among 12 commercial cotton hybrids,revealed a potential role for these regions in heterosis.Our study provides insight into the population structure of upland cotton germplasm.Furthermore,the overlap between lineagespecific regions and heterozygous loci,in the high-yield hybrids,suggests a role for these regions in cotton heterosis.