Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

42 results

Time (local)	Label
2023-06-21 09:41:42	ga_s2bm_ard_3-2-1_56KMF_2023-06-21_final.stac-item
2023-06-21 09:42:15	ga_s2bm_ard_3-2-1_56KLD_2023-06-21_final.stac-item
2023-06-21 09:42:47	ga_s2bm_ard_3-2-1_55KHS_2023-06-21_final.stac-item
2023-06-21 09:47:22	ga_s2bm_ard_3-2-1_55HDU_2023-06-21_final.stac-item
2023-06-21 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2023-06-21_final.stac-item
2023-07-01 09:39:44	ga_s2bm_ard_3-2-1_56LNP_2023-07-01_nrt.stac-item
2023-07-01 09:41:50	ga_s2bm_ard_3-2-1_55KHA_2023-07-01_nrt.stac-item
2023-07-01 09:42:04	ga_s2bm_ard_3-2-1_56KKE_2023-07-01_nrt.stac-item
2023-07-01 09:48:43	ga_s2bm_ard_3-2-1_55GBP_2023-07-01_nrt.stac-item
2023-07-01 09:48:54	ga_s2bm_ard_3-2-1_54GYT_2023-07-01_nrt.stac-item
2023-07-01 11:20:21	ga_s2bm_ard_3-2-1_52LEP_2023-07-01_nrt.stac-item
2023-07-01 11:20:25	ga_s2bm_ard_3-2-1_52LDP_2023-07-01_nrt.stac-item
2023-07-01 11:20:28	ga_s2bm_ard_3-2-1_52LCP_2023-07-01_nrt.stac-item
2023-07-01 11:20:31	ga_s2bm_ard_3-2-1_52LBP_2023-07-01_nrt.stac-item
2023-07-01 11:20:36	ga_s2bm_ard_3-2-1_52LEN_2023-07-01_nrt.stac-item
2023-07-01 11:20:39	ga_s2bm_ard_3-2-1_52LDN_2023-07-01_nrt.stac-item
2023-07-01 11:20:42	ga_s2bm_ard_3-2-1_52LCN_2023-07-01_nrt.stac-item
2023-07-01 11:20:45	ga_s2bm_ard_3-2-1_52LBN_2023-07-01_nrt.stac-item
2023-07-01 11:20:50	ga_s2bm_ard_3-2-1_52LEM_2023-07-01_nrt.stac-item
2023-07-01 11:20:54	ga_s2bm_ard_3-2-1_52LDM_2023-07-01_nrt.stac-item
2023-07-01 11:20:57	ga_s2bm_ard_3-2-1_52LCM_2023-07-01_nrt.stac-item
2023-07-01 11:21:00	ga_s2bm_ard_3-2-1_52LBM_2023-07-01_nrt.stac-item
2023-07-01 11:21:02	ga_s2bm_ard_3-2-1_51LZG_2023-07-01_nrt.stac-item
2023-07-01 11:21:08	ga_s2bm_ard_3-2-1_52LDL_2023-07-01_nrt.stac-item
2023-07-01 11:21:12	ga_s2bm_ard_3-2-1_52LCL_2023-07-01_nrt.stac-item
2023-07-01 11:21:15	ga_s2bm_ard_3-2-1_52LBL_2023-07-01_nrt.stac-item
2023-07-01 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-07-01_nrt.stac-item
2023-07-01 11:21:23	ga_s2bm_ard_3-2-1_52LDK_2023-07-01_nrt.stac-item
2023-07-02 09:14:48	ga_s2bm_ard_3-2-1_56JPP_2023-07-01_nrt.stac-item
2023-07-02 09:14:59	ga_s2bm_ard_3-2-1_56JPN_2023-07-01_nrt.stac-item
2023-07-02 09:15:13	ga_s2bm_ard_3-2-1_56JPM_2023-07-01_nrt.stac-item
2023-07-02 09:15:27	ga_s2bm_ard_3-2-1_56JPL_2023-07-01_nrt.stac-item
2023-07-02 09:15:34	ga_s2bm_ard_3-2-1_56HPK_2023-07-01_nrt.stac-item
2023-07-02 10:50:08	ga_s2bm_ard_3-2-1_53LQJ_2023-07-02_nrt.stac-item
2023-07-02 10:50:17	ga_s2bm_ard_3-2-1_53LMJ_2023-07-02_nrt.stac-item
2023-07-02 10:50:21	ga_s2bm_ard_3-2-1_53LQH_2023-07-02_nrt.stac-item
2023-07-02 10:56:20	ga_s2bm_ard_3-2-1_52HFK_2023-07-02_nrt.stac-item
2023-07-02 10:56:23	ga_s2bm_ard_3-2-1_52HEK_2023-07-02_nrt.stac-item
2023-07-02 10:56:25	ga_s2bm_ard_3-2-1_53HKD_2023-07-02_nrt.stac-item
2023-07-02 10:56:27	ga_s2bm_ard_3-2-1_52HGJ_2023-07-02_nrt.stac-item
2023-07-02 10:56:29	ga_s2bm_ard_3-2-1_52HFJ_2023-07-02_nrt.stac-item
2023-07-02 10:56:31	ga_s2bm_ard_3-2-1_52HEJ_2023-07-02_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years