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

First 100 results (query limit)

Time (local)	Label
2023-05-01 11:57:24	ga_s2bm_ard_3-2-1_49HFC_2023-05-01_nrt.stac-item
2023-05-01 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-05-01_final.stac-item
2023-05-01 11:57:27	ga_s2bm_ard_3-2-1_50HKG_2023-05-01_nrt.stac-item
2023-05-01 11:57:30	ga_s2bm_ard_3-2-1_49HFB_2023-05-01_nrt.stac-item
2023-05-01 11:57:30	ga_s2bm_ard_3-2-1_50HMF_2023-05-01_nrt.stac-item
2023-05-01 11:57:32	ga_s2bm_ard_3-2-1_50HLF_2023-05-01_nrt.stac-item
2023-05-02 09:41:16	ga_s2bm_ard_3-2-1_56LNH_2023-05-02_nrt.stac-item
2023-05-02 09:41:17	ga_s2bm_ard_3-2-1_56LMH_2023-05-02_nrt.stac-item
2023-05-02 09:41:19	ga_s2bm_ard_3-2-1_56LLH_2023-05-02_nrt.stac-item
2023-05-02 09:41:20	ga_s2bm_ard_3-2-1_56LKH_2023-05-02_nrt.stac-item
2023-05-02 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2023-05-02_final.stac-item
2023-05-02 09:41:44	ga_s2bm_ard_3-2-1_56KLF_2023-05-02_final.stac-item
2023-05-02 09:41:48	ga_s2bm_ard_3-2-1_56KNE_2023-05-02_nrt.stac-item
2023-05-02 09:41:55	ga_s2bm_ard_3-2-1_56KME_2023-05-02_final.stac-item
2023-05-02 09:42:09	ga_s2bm_ard_3-2-1_56KMD_2023-05-02_final.stac-item
2023-05-02 09:42:13	ga_s2bm_ard_3-2-1_56KLD_2023-05-02_final.stac-item
2023-05-02 09:42:45	ga_s2bm_ard_3-2-1_55KHS_2023-05-02_final.stac-item
2023-05-02 09:43:03	ga_s2bm_ard_3-2-1_56KMV_2023-05-02_nrt.stac-item
2023-05-02 09:43:14	ga_s2bm_ard_3-2-1_55KHQ_2023-05-02_final.stac-item
2023-05-02 09:44:12	ga_s2bm_ard_3-2-1_56JKR_2023-05-02_final.stac-item
2023-05-02 09:44:18	ga_s2bm_ard_3-2-1_56JLQ_2023-05-02_final.stac-item
2023-05-02 09:44:30	ga_s2bm_ard_3-2-1_55JGK_2023-05-02_final.stac-item
2023-05-02 09:44:34	ga_s2bm_ard_3-2-1_55JFK_2023-05-02_final.stac-item
2023-05-02 09:44:41	ga_s2bm_ard_3-2-1_56JKP_2023-05-02_final.stac-item
2023-05-02 09:44:45	ga_s2bm_ard_3-2-1_55JGJ_2023-05-02_final.stac-item
2023-05-02 09:45:03	ga_s2bm_ard_3-2-1_55JFH_2023-05-02_final.stac-item
2023-05-02 09:45:11	ga_s2bm_ard_3-2-1_56JKM_2023-05-02_final.stac-item
2023-05-02 09:45:13	ga_s2bm_ard_3-2-1_55JGG_2023-05-02_final.stac-item
2023-05-02 09:45:32	ga_s2bm_ard_3-2-1_55JFF_2023-05-02_final.stac-item
2023-05-02 09:45:35	ga_s2bm_ard_3-2-1_56HKK_2023-05-02_final.stac-item
2023-05-02 09:45:42	ga_s2bm_ard_3-2-1_55HGE_2023-05-02_final.stac-item
2023-05-02 09:46:01	ga_s2bm_ard_3-2-1_55HFD_2023-05-02_final.stac-item
2023-05-02 09:46:04	ga_s2bm_ard_3-2-1_55HED_2023-05-02_final.stac-item
2023-05-02 09:46:08	ga_s2bm_ard_3-2-1_55HDD_2023-05-02_final.stac-item
2023-05-02 09:46:09	ga_s2bm_ard_3-2-1_55HGC_2023-05-02_final.stac-item
2023-05-02 09:46:15	ga_s2bm_ard_3-2-1_55HFC_2023-05-02_final.stac-item
2023-05-02 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2023-05-02_final.stac-item
2023-05-02 09:46:29	ga_s2bm_ard_3-2-1_55HFB_2023-05-02_final.stac-item
2023-05-02 09:46:30	ga_s2bm_ard_3-2-1_55HCC_2023-05-02_final.stac-item
2023-05-02 09:46:41	ga_s2bm_ard_3-2-1_55HCB_2023-05-02_final.stac-item
2023-05-02 09:46:44	ga_s2bm_ard_3-2-1_55HFA_2023-05-02_final.stac-item
2023-05-02 09:46:48	ga_s2bm_ard_3-2-1_55HEA_2023-05-02_final.stac-item
2023-05-02 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2023-05-02_final.stac-item
2023-05-02 09:46:55	ga_s2bm_ard_3-2-1_55HCA_2023-05-02_final.stac-item
2023-05-02 09:47:11	ga_s2bm_ard_3-2-1_55HFU_2023-05-02_final.stac-item
2023-05-02 09:47:17	ga_s2bm_ard_3-2-1_55HEU_2023-05-02_final.stac-item
2023-05-02 09:47:21	ga_s2bm_ard_3-2-1_55HDU_2023-05-02_final.stac-item
2023-05-02 09:47:21	ga_s2bm_ard_3-2-1_55HFT_2023-05-02_final.stac-item
2023-05-02 09:47:24	ga_s2bm_ard_3-2-1_55HCU_2023-05-02_final.stac-item
2023-05-02 09:47:31	ga_s2bm_ard_3-2-1_55HBU_2023-05-02_final.stac-item
2023-05-02 09:47:38	ga_s2bm_ard_3-2-1_55HCT_2023-05-02_final.stac-item
2023-05-02 09:47:42	ga_s2bm_ard_3-2-1_55HBT_2023-05-02_final.stac-item
2023-05-02 09:47:46	ga_s2bm_ard_3-2-1_55HES_2023-05-02_final.stac-item
2023-05-02 09:47:47	ga_s2bm_ard_3-2-1_54HYC_2023-05-02_final.stac-item
2023-05-02 09:47:50	ga_s2bm_ard_3-2-1_55HDS_2023-05-02_final.stac-item
2023-05-02 09:47:53	ga_s2bm_ard_3-2-1_55HCS_2023-05-02_final.stac-item
2023-05-02 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2023-05-02_final.stac-item
2023-05-02 09:47:57	ga_s2bm_ard_3-2-1_54HYB_2023-05-02_final.stac-item
2023-05-02 09:48:54	ga_s2bm_ard_3-2-1_55GCN_2023-05-02_final.stac-item
2023-05-02 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2023-05-02_final.stac-item
2023-05-02 09:49:02	ga_s2bm_ard_3-2-1_55GCM_2023-05-02_final.stac-item
2023-05-02 09:49:04	ga_s2bm_ard_3-2-1_54GYS_2023-05-02_nrt.stac-item
2023-05-02 09:49:06	ga_s2bm_ard_3-2-1_54GXS_2023-05-02_nrt.stac-item
2023-05-02 11:20:25	ga_s2bm_ard_3-2-1_52LCP_2023-05-02_nrt.stac-item
2023-05-02 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2023-05-02_final.stac-item
2023-05-02 11:21:49	ga_s2bm_ard_3-2-1_52LDH_2023-05-02_final.stac-item
2023-05-02 11:21:52	ga_s2bm_ard_3-2-1_52LCH_2023-05-02_final.stac-item
2023-05-02 11:21:56	ga_s2bm_ard_3-2-1_52LBH_2023-05-02_final.stac-item
2023-05-02 11:21:57	ga_s2bm_ard_3-2-1_51LZC_2023-05-02_final.stac-item
2023-05-02 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2023-05-02_final.stac-item
2023-05-02 11:22:07	ga_s2bm_ard_3-2-1_52KCG_2023-05-02_final.stac-item
2023-05-02 11:22:21	ga_s2bm_ard_3-2-1_52KCF_2023-05-02_final.stac-item
2023-05-02 11:22:51	ga_s2bm_ard_3-2-1_52KCD_2023-05-02_final.stac-item
2023-05-02 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2023-05-02_final.stac-item
2023-05-02 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-05-02_final.stac-item
2023-05-02 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2023-05-02_final.stac-item
2023-05-02 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-05-02_final.stac-item
2023-05-02 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-05-02_final.stac-item
2023-05-02 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2023-05-02_final.stac-item
2023-05-02 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2023-05-02_final.stac-item
2023-05-02 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2023-05-02_final.stac-item
2023-05-02 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-05-02_final.stac-item
2023-05-02 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-05-02_final.stac-item
2023-05-02 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2023-05-02_final.stac-item
2023-05-02 11:26:13	ga_s2bm_ard_3-2-1_51JWF_2023-05-02_final.stac-item
2023-05-02 11:26:18	ga_s2bm_ard_3-2-1_51JXF_2023-05-02_final.stac-item
2023-05-02 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2023-05-02_final.stac-item
2023-05-02 11:26:19	ga_s2bm_ard_3-2-1_51HWE_2023-05-02_final.stac-item
2023-05-02 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2023-05-02_final.stac-item
2023-05-02 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2023-05-02_final.stac-item
2023-05-02 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-05-02_final.stac-item
2023-05-02 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-05-02_final.stac-item
2023-05-02 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2023-05-02_final.stac-item
2023-05-02 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-05-02_final.stac-item
2023-05-02 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2023-05-02_final.stac-item
2023-05-02 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-05-02_final.stac-item
2023-05-02 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2023-05-02_final.stac-item
2023-05-02 11:27:12	ga_s2bm_ard_3-2-1_51HVB_2023-05-02_final.stac-item
2023-05-02 11:27:14	ga_s2bm_ard_3-2-1_51HUB_2023-05-02_final.stac-item
2023-05-02 11:27:16	ga_s2bm_ard_3-2-1_51HTB_2023-05-02_final.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

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