Abstract: A glycosylation method involving a trivalent iodine reagent, wherein a glycosyl donor (I) is activated in the presence of a trivalent iodine reagent and a transition metal catalyst, and then reacts with a acceptor (II) under acid catalysis or directly to obtain a glycosylation product (III); in the glycosyl donor (I), Gly is a glycosyl group in which one or more hydroxyl groups on the sugar ring are protected by a protecting group; X is an oxygen, sulfur, or selenium atom; R is an alkyl group or an aryl group; the acceptor (II) is a nucleophile selected from sugars, alcohols, phenols, flavonoids, carboxylic acids, phosphates, pyrimidines, purines, amides, sulfonamides, guanidines, arylamines, indoles, enol silyl ethers, thiols, or thiophenol containing one or more free hydroxyl groups.

Abstract: A glycosylation method involving a trivalent iodine reagent, wherein a glycosyl donor (I) is activated in the presence of a trivalent iodine reagent and a transition metal catalyst, and then reacts with a acceptor (II) under acid catalysis or directly to obtain a glycosylation product (III); in the glycosyl donor (I), Gly is a glycosyl group in which one or more hydroxyl groups on the sugar ring are protected by a protecting group; X is an oxygen, sulfur, or selenium atom; R is an alkyl group or an aryl group; the acceptor (II) is a nucleophile selected from sugars, alcohols, phenols, flavonoids, carboxylic acids, phosphates, pyrimidines, purines, amides, sulfonamides, guanidines, arylamines, indoles, enol silyl ethers, thiols, or thiophenol containing one or more free hydroxyl groups.

Abstract: A method of storing remote sensing big data in a Hbase database. The method includes: obtaining a remote sensing image, and pre-cropping the remote sensing image based on a Google S2 algorithm; selecting a grid level based on a resolution of the remote sensing image; demarcating a coverage scope of the remote sensing image; calculating grids covered within the coverage scope; cropping the remote sensing image according to the grids, to yield a plurality of image blocks, and serializing the plurality of image blocks; establishing an Hbase table; establishing a table storage model containing RowKey, and calculating the RowKey according to attributes of an image block; and integrating data structure of multi-source remote sensing image data according to attribute expression of a zoned remote sensing image in a plurality of dimensions, and storing serialized image blocks in an Hbase database according to the RowKey.

Abstract: A method of storing remote sensing big data in a Hbase database. The method includes: obtaining a remote sensing image, and pre-cropping the remote sensing image based on a Google S2 algorithm; selecting a grid level based on a resolution of the remote sensing image; demarcating a coverage scope of the remote sensing image; calculating grids covered within the coverage scope; cropping the remote sensing image according to the grids, to yield a plurality of image blocks, and serializing the plurality of image blocks; establishing an Hbase table; establishing a table storage model containing RowKey, and calculating the RowKey according to attributes of an image block; and integrating data structure of multi-source remote sensing image data according to attribute expression of a zoned remote sensing image in a plurality of dimensions, and storing serialized image blocks in an Hbase database according to the RowKey.