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

68 results

Time (local)	Label
2024-03-30 11:30:20	ga_s2bm_ard_3-2-1_52LBP_2024-03-30_nrt.stac-item
2024-03-30 11:31:06	ga_s2bm_ard_3-2-1_51LZF_2024-03-30_nrt.stac-item
2024-03-30 11:31:10	ga_s2bm_ard_3-2-1_51LYF_2024-03-30_nrt.stac-item
2024-03-30 11:31:45	ga_s2bm_ard_3-2-1_51LWD_2024-03-30_nrt.stac-item
2024-03-30 11:37:24	ga_s2bm_ard_3-2-1_51HTA_2024-03-30_nrt.stac-item
2024-03-31 09:22:52	ga_s2bm_ard_3-2-1_56KPA_2024-03-30_nrt.stac-item
2024-03-31 09:23:07	ga_s2bm_ard_3-2-1_56KPV_2024-03-30_nrt.stac-item
2024-03-31 09:23:21	ga_s2bm_ard_3-2-1_56KPU_2024-03-30_nrt.stac-item
2024-03-31 09:23:26	ga_s2bm_ard_3-2-1_56KNU_2024-03-30_nrt.stac-item
2024-03-31 09:24:05	ga_s2bm_ard_3-2-1_56JPR_2024-03-30_nrt.stac-item
2024-03-31 09:24:34	ga_s2bm_ard_3-2-1_56JPP_2024-03-30_nrt.stac-item
2024-03-31 09:24:48	ga_s2bm_ard_3-2-1_56JPN_2024-03-30_nrt.stac-item
2024-03-31 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2024-03-30_nrt.stac-item
2024-03-31 09:25:17	ga_s2bm_ard_3-2-1_56JPL_2024-03-30_nrt.stac-item
2024-03-31 09:25:32	ga_s2bm_ard_3-2-1_56HPK_2024-03-30_nrt.stac-item
2024-03-31 09:25:35	ga_s2bm_ard_3-2-1_56HNK_2024-03-30_nrt.stac-item
2024-03-31 09:25:46	ga_s2bm_ard_3-2-1_56HPJ_2024-03-30_nrt.stac-item
2024-03-31 09:25:50	ga_s2bm_ard_3-2-1_56HNJ_2024-03-30_nrt.stac-item
2024-03-31 09:26:00	ga_s2bm_ard_3-2-1_56HPH_2024-03-30_nrt.stac-item
2024-03-31 09:26:04	ga_s2bm_ard_3-2-1_56HNH_2024-03-30_nrt.stac-item
2024-03-31 09:26:08	ga_s2bm_ard_3-2-1_56HMH_2024-03-30_nrt.stac-item
2024-03-31 09:26:11	ga_s2bm_ard_3-2-1_56HPG_2024-03-30_nrt.stac-item
2024-03-31 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2024-03-30_nrt.stac-item
2024-03-31 09:26:23	ga_s2bm_ard_3-2-1_56HMG_2024-03-30_nrt.stac-item
2024-03-31 09:26:33	ga_s2bm_ard_3-2-1_56HNF_2024-03-30_nrt.stac-item
2024-03-31 09:26:37	ga_s2bm_ard_3-2-1_56HMF_2024-03-30_nrt.stac-item
2024-03-31 09:26:40	ga_s2bm_ard_3-2-1_56HLF_2024-03-30_nrt.stac-item
2024-03-31 09:26:48	ga_s2bm_ard_3-2-1_56HNE_2024-03-30_nrt.stac-item
2024-03-31 09:26:52	ga_s2bm_ard_3-2-1_56HME_2024-03-30_nrt.stac-item
2024-03-31 09:26:55	ga_s2bm_ard_3-2-1_56HLE_2024-03-30_nrt.stac-item
2024-03-31 09:26:58	ga_s2bm_ard_3-2-1_56HKE_2024-03-30_nrt.stac-item
2024-03-31 09:27:02	ga_s2bm_ard_3-2-1_56HND_2024-03-30_nrt.stac-item
2024-03-31 09:27:10	ga_s2bm_ard_3-2-1_56HLD_2024-03-30_nrt.stac-item
2024-03-31 09:27:13	ga_s2bm_ard_3-2-1_56HKD_2024-03-30_nrt.stac-item
2024-03-31 09:27:14	ga_s2bm_ard_3-2-1_56HNC_2024-03-30_nrt.stac-item
2024-03-31 09:27:20	ga_s2bm_ard_3-2-1_56HMC_2024-03-30_nrt.stac-item
2024-03-31 09:27:24	ga_s2bm_ard_3-2-1_56HLC_2024-03-30_nrt.stac-item
2024-03-31 09:27:27	ga_s2bm_ard_3-2-1_56HKC_2024-03-30_nrt.stac-item
2024-03-31 09:27:28	ga_s2bm_ard_3-2-1_55HGT_2024-03-30_nrt.stac-item
2024-03-31 09:27:35	ga_s2bm_ard_3-2-1_56HMB_2024-03-30_nrt.stac-item
2024-03-31 09:27:39	ga_s2bm_ard_3-2-1_56HLB_2024-03-30_nrt.stac-item
2024-03-31 09:27:42	ga_s2bm_ard_3-2-1_56HKB_2024-03-30_nrt.stac-item
2024-03-31 09:27:50	ga_s2bm_ard_3-2-1_56GMA_2024-03-30_nrt.stac-item
2024-03-31 09:27:53	ga_s2bm_ard_3-2-1_56GLA_2024-03-30_nrt.stac-item
2024-03-31 09:27:57	ga_s2bm_ard_3-2-1_56GKA_2024-03-30_nrt.stac-item
2024-03-31 09:27:57	ga_s2bm_ard_3-2-1_55GGR_2024-03-30_nrt.stac-item
2024-03-31 09:28:04	ga_s2bm_ard_3-2-1_56GMV_2024-03-30_nrt.stac-item
2024-03-31 09:28:11	ga_s2bm_ard_3-2-1_56GKV_2024-03-30_nrt.stac-item
2024-03-31 09:28:11	ga_s2bm_ard_3-2-1_55GGQ_2024-03-30_nrt.stac-item
2024-03-31 09:28:17	ga_s2bm_ard_3-2-1_56GMU_2024-03-30_nrt.stac-item
2024-03-31 09:28:22	ga_s2bm_ard_3-2-1_56GLU_2024-03-30_nrt.stac-item
2024-03-31 09:28:26	ga_s2bm_ard_3-2-1_56GKU_2024-03-30_nrt.stac-item
2024-03-31 09:28:28	ga_s2bm_ard_3-2-1_56GMT_2024-03-30_nrt.stac-item
2024-03-31 09:28:34	ga_s2bm_ard_3-2-1_56GLT_2024-03-30_nrt.stac-item
2024-03-31 09:28:36	ga_s2bm_ard_3-2-1_55GGN_2024-03-30_nrt.stac-item
2024-03-31 09:28:41	ga_s2bm_ard_3-2-1_56GLT_2024-03-30_nrt.stac-item
2024-03-31 09:28:43	ga_s2bm_ard_3-2-1_55GGN_2024-03-30_nrt.stac-item
2024-03-31 09:28:51	ga_s2bm_ard_3-2-1_56GLS_2024-03-30_nrt.stac-item
2024-03-31 09:28:56	ga_s2bm_ard_3-2-1_55GFM_2024-03-30_nrt.stac-item
2024-03-31 11:00:07	ga_s2bm_ard_3-2-1_53LMJ_2024-03-31_nrt.stac-item
2024-03-31 11:00:10	ga_s2bm_ard_3-2-1_53LLJ_2024-03-31_nrt.stac-item
2024-03-31 11:00:15	ga_s2bm_ard_3-2-1_52LHP_2024-03-31_nrt.stac-item
2024-03-31 11:06:13	ga_s2bm_ard_3-2-1_52HEK_2024-03-31_nrt.stac-item
2024-03-31 11:06:27	ga_s2bm_ard_3-2-1_52HEJ_2024-03-31_nrt.stac-item
2024-03-31 11:06:30	ga_s2bm_ard_3-2-1_52HDJ_2024-03-31_nrt.stac-item
2024-03-31 11:06:31	ga_s2bm_ard_3-2-1_52HCJ_2024-03-31_nrt.stac-item
2024-03-31 11:06:33	ga_s2bm_ard_3-2-1_52HBJ_2024-03-31_nrt.stac-item
2024-03-31 11:06:34	ga_s2bm_ard_3-2-1_52HEH_2024-03-31_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