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:

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First 100 results (query limit)

Time (local)	Label
2023-01-15 11:37:25	ga_s2bm_ard_3-2-1_51HTA_2023-01-15_nrt.stac-item
2023-01-15 11:37:26	ga_s2bm_ard_3-2-1_50HQF_2023-01-15_nrt.stac-item
2023-01-15 11:37:27	ga_s2bm_ard_3-2-1_50HPF_2023-01-15_nrt.stac-item
2023-01-15 11:37:29	ga_s2bm_ard_3-2-1_50HNF_2023-01-15_nrt.stac-item
2023-01-15 11:37:30	ga_s2bm_ard_3-2-1_51HUV_2023-01-15_nrt.stac-item
2023-01-15 11:37:30	ga_s2bm_ard_3-2-1_51HTV_2023-01-15_nrt.stac-item
2023-01-16 09:23:04	ga_s2bm_ard_3-2-1_56KPV_2023-01-15_nrt.stac-item
2023-01-16 09:24:17	ga_s2bm_ard_3-2-1_56JPQ_2023-01-15_nrt.stac-item
2023-01-16 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2023-01-15_final.stac-item
2023-01-16 09:24:38	ga_s2bm_ard_3-2-1_56JMP_2023-01-15_final.stac-item
2023-01-16 09:24:46	ga_s2bm_ard_3-2-1_56JPN_2023-01-15_nrt.stac-item
2023-01-16 09:24:49	ga_s2bm_ard_3-2-1_56JNN_2023-01-15_final.stac-item
2023-01-16 09:24:52	ga_s2bm_ard_3-2-1_56JMN_2023-01-15_final.stac-item
2023-01-16 09:25:00	ga_s2bm_ard_3-2-1_56JPM_2023-01-15_nrt.stac-item
2023-01-16 09:25:14	ga_s2bm_ard_3-2-1_56JPL_2023-01-15_nrt.stac-item
2023-01-16 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2023-01-15_final.stac-item
2023-01-16 09:25:22	ga_s2bm_ard_3-2-1_56JML_2023-01-15_final.stac-item
2023-01-16 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2023-01-15_final.stac-item
2023-01-16 09:25:29	ga_s2bm_ard_3-2-1_56HPK_2023-01-15_nrt.stac-item
2023-01-16 09:25:33	ga_s2bm_ard_3-2-1_56HNK_2023-01-15_nrt.stac-item
2023-01-16 09:25:36	ga_s2bm_ard_3-2-1_56HMK_2023-01-15_final.stac-item
2023-01-16 09:25:39	ga_s2bm_ard_3-2-1_56HLK_2023-01-15_final.stac-item
2023-01-16 09:25:47	ga_s2bm_ard_3-2-1_56HNJ_2023-01-15_nrt.stac-item
2023-01-16 09:25:51	ga_s2bm_ard_3-2-1_56HMJ_2023-01-15_final.stac-item
2023-01-16 09:25:57	ga_s2bm_ard_3-2-1_56HPH_2023-01-15_nrt.stac-item
2023-01-16 09:26:02	ga_s2bm_ard_3-2-1_56HNH_2023-01-15_nrt.stac-item
2023-01-16 09:26:05	ga_s2bm_ard_3-2-1_56HMH_2023-01-15_nrt.stac-item
2023-01-16 09:26:09	ga_s2bm_ard_3-2-1_56HLH_2023-01-15_final.stac-item
2023-01-16 09:26:28	ga_s2bm_ard_3-2-1_56HKG_2023-01-15_final.stac-item
2023-01-16 09:26:30	ga_s2bm_ard_3-2-1_56HNF_2023-01-15_nrt.stac-item
2023-01-16 09:26:34	ga_s2bm_ard_3-2-1_56HMF_2023-01-15_nrt.stac-item
2023-01-16 09:26:38	ga_s2bm_ard_3-2-1_56HLF_2023-01-15_nrt.stac-item
2023-01-16 09:26:41	ga_s2bm_ard_3-2-1_56HKF_2023-01-15_final.stac-item
2023-01-16 09:26:45	ga_s2bm_ard_3-2-1_56HNE_2023-01-15_nrt.stac-item
2023-01-16 09:26:49	ga_s2bm_ard_3-2-1_56HME_2023-01-15_nrt.stac-item
2023-01-16 09:26:52	ga_s2bm_ard_3-2-1_56HLE_2023-01-15_nrt.stac-item
2023-01-16 09:26:55	ga_s2bm_ard_3-2-1_56HKE_2023-01-15_nrt.stac-item
2023-01-16 09:26:58	ga_s2bm_ard_3-2-1_55HGV_2023-01-15_final.stac-item
2023-01-16 09:26:59	ga_s2bm_ard_3-2-1_56HND_2023-01-15_nrt.stac-item
2023-01-16 09:27:03	ga_s2bm_ard_3-2-1_56HMD_2023-01-15_nrt.stac-item
2023-01-16 09:27:11	ga_s2bm_ard_3-2-1_56HNC_2023-01-15_nrt.stac-item
2023-01-16 09:27:18	ga_s2bm_ard_3-2-1_56HMC_2023-01-15_nrt.stac-item
2023-01-16 09:27:21	ga_s2bm_ard_3-2-1_56HLC_2023-01-15_nrt.stac-item
2023-01-16 09:27:25	ga_s2bm_ard_3-2-1_56HKC_2023-01-15_nrt.stac-item
2023-01-16 09:27:25	ga_s2bm_ard_3-2-1_55HGT_2023-01-15_nrt.stac-item
2023-01-16 09:27:40	ga_s2bm_ard_3-2-1_55HGS_2023-01-15_nrt.stac-item
2023-01-16 09:27:46	ga_s2bm_ard_3-2-1_55HFS_2023-01-15_final.stac-item
2023-01-16 09:27:47	ga_s2bm_ard_3-2-1_56GMA_2023-01-15_nrt.stac-item
2023-01-16 09:27:50	ga_s2bm_ard_3-2-1_56GLA_2023-01-15_nrt.stac-item
2023-01-16 09:27:54	ga_s2bm_ard_3-2-1_56GKA_2023-01-15_nrt.stac-item
2023-01-16 09:27:58	ga_s2bm_ard_3-2-1_55GFR_2023-01-15_final.stac-item
2023-01-16 09:28:01	ga_s2bm_ard_3-2-1_56GMV_2023-01-15_nrt.stac-item
2023-01-16 09:28:08	ga_s2bm_ard_3-2-1_56GKV_2023-01-15_nrt.stac-item
2023-01-16 09:28:09	ga_s2bm_ard_3-2-1_55GGQ_2023-01-15_nrt.stac-item
2023-01-16 09:28:12	ga_s2bm_ard_3-2-1_55GFQ_2023-01-15_final.stac-item
2023-01-16 09:28:15	ga_s2bm_ard_3-2-1_56GMU_2023-01-15_nrt.stac-item
2023-01-16 09:28:19	ga_s2bm_ard_3-2-1_56GLU_2023-01-15_nrt.stac-item
2023-01-16 11:00:19	ga_s2bm_ard_3-2-1_53LMH_2023-01-16_final.stac-item
2023-01-16 11:00:22	ga_s2bm_ard_3-2-1_53LLH_2023-01-16_final.stac-item
2023-01-16 11:00:34	ga_s2bm_ard_3-2-1_52LGN_2023-01-16_final.stac-item
2023-01-16 11:01:35	ga_s2bm_ard_3-2-1_53LLC_2023-01-16_final.stac-item
2023-01-16 11:01:38	ga_s2bm_ard_3-2-1_53LKC_2023-01-16_final.stac-item
2023-01-16 11:01:39	ga_s2bm_ard_3-2-1_52LHH_2023-01-16_final.stac-item
2023-01-16 11:01:43	ga_s2bm_ard_3-2-1_52LGH_2023-01-16_final.stac-item
2023-01-16 11:02:00	ga_s2bm_ard_3-2-1_52KFG_2023-01-16_final.stac-item
2023-01-16 11:02:22	ga_s2bm_ard_3-2-1_52KHE_2023-01-16_final.stac-item
2023-01-16 11:02:26	ga_s2bm_ard_3-2-1_52KGE_2023-01-16_final.stac-item
2023-01-16 11:02:44	ga_s2bm_ard_3-2-1_52KFD_2023-01-16_final.stac-item
2023-01-16 11:03:42	ga_s2bm_ard_3-2-1_52KFV_2023-01-16_final.stac-item
2023-01-16 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2023-01-16_final.stac-item
2023-01-16 11:03:50	ga_s2bm_ard_3-2-1_52KDV_2023-01-16_final.stac-item
2023-01-16 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2023-01-16_final.stac-item
2023-01-16 11:04:03	ga_s2bm_ard_3-2-1_52KDU_2023-01-16_final.stac-item
2023-01-16 11:04:32	ga_s2bm_ard_3-2-1_52JGR_2023-01-16_final.stac-item
2023-01-16 11:04:40	ga_s2bm_ard_3-2-1_52JFR_2023-01-16_final.stac-item
2023-01-16 11:04:44	ga_s2bm_ard_3-2-1_52JER_2023-01-16_final.stac-item
2023-01-16 11:04:47	ga_s2bm_ard_3-2-1_52JDR_2023-01-16_final.stac-item
2023-01-16 11:04:52	ga_s2bm_ard_3-2-1_52JCR_2023-01-16_final.stac-item
2023-01-16 11:04:54	ga_s2bm_ard_3-2-1_52JFQ_2023-01-16_final.stac-item
2023-01-16 11:05:05	ga_s2bm_ard_3-2-1_52JCQ_2023-01-16_final.stac-item
2023-01-16 11:05:16	ga_s2bm_ard_3-2-1_52JDP_2023-01-16_final.stac-item
2023-01-16 11:05:19	ga_s2bm_ard_3-2-1_52JCP_2023-01-16_final.stac-item
2023-01-16 11:05:23	ga_s2bm_ard_3-2-1_52JFN_2023-01-16_final.stac-item
2023-01-16 11:05:27	ga_s2bm_ard_3-2-1_52JEN_2023-01-16_final.stac-item
2023-01-16 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2023-01-16_final.stac-item
2023-01-16 11:05:34	ga_s2bm_ard_3-2-1_52JCN_2023-01-16_final.stac-item
2023-01-16 11:05:35	ga_s2bm_ard_3-2-1_52JFM_2023-01-16_final.stac-item
2023-01-16 11:05:51	ga_s2bm_ard_3-2-1_52JCM_2023-01-16_final.stac-item
2023-01-16 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2023-01-16_final.stac-item
2023-01-16 11:05:56	ga_s2bm_ard_3-2-1_52JEL_2023-01-16_final.stac-item
2023-01-16 11:06:00	ga_s2bm_ard_3-2-1_52JDL_2023-01-16_final.stac-item
2023-01-16 11:06:03	ga_s2bm_ard_3-2-1_52JCL_2023-01-16_final.stac-item
2023-01-16 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2023-01-16_final.stac-item
2023-01-16 11:06:11	ga_s2bm_ard_3-2-1_52HEK_2023-01-16_nrt.stac-item
2023-01-16 11:06:14	ga_s2bm_ard_3-2-1_52HDK_2023-01-16_final.stac-item
2023-01-16 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2023-01-16_final.stac-item
2023-01-16 11:06:25	ga_s2bm_ard_3-2-1_52HEJ_2023-01-16_nrt.stac-item
2023-01-16 11:06:31	ga_s2bm_ard_3-2-1_52HBJ_2023-01-16_nrt.stac-item
2023-01-16 11:06:33	ga_s2bm_ard_3-2-1_52HEH_2023-01-16_nrt.stac-item
2023-01-16 11:06:33	ga_s2bm_ard_3-2-1_51HYD_2023-01-16_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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