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
2023-08-26 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-08-26_final.stac-item
2023-08-26 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-08-26_final.stac-item
2023-08-26 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-08-26_final.stac-item
2023-08-26 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-08-26_final.stac-item
2023-08-26 11:47:34	ga_s2bm_ard_3-2-1_50HPF_2023-08-26_nrt.stac-item
2023-08-26 11:47:36	ga_s2bm_ard_3-2-1_50HNF_2023-08-26_nrt.stac-item
2023-08-26 11:47:37	ga_s2bm_ard_3-2-1_50HMF_2023-08-26_nrt.stac-item
2023-08-26 11:47:38	ga_s2bm_ard_3-2-1_50HLF_2023-08-26_nrt.stac-item
2023-08-27 09:32:31	ga_s2bm_ard_3-2-1_56KPC_2023-08-27_final.stac-item
2023-08-27 09:32:53	ga_s2bm_ard_3-2-1_56KPA_2023-08-27_nrt.stac-item
2023-08-27 09:33:03	ga_s2bm_ard_3-2-1_56KLA_2023-08-27_final.stac-item
2023-08-27 09:33:25	ga_s2bm_ard_3-2-1_56KNU_2023-08-27_nrt.stac-item
2023-08-27 09:33:29	ga_s2bm_ard_3-2-1_56KMU_2023-08-27_final.stac-item
2023-08-27 09:34:24	ga_s2bm_ard_3-2-1_56JNQ_2023-08-27_final.stac-item
2023-08-27 09:34:27	ga_s2bm_ard_3-2-1_56JMQ_2023-08-27_final.stac-item
2023-08-27 09:34:33	ga_s2bm_ard_3-2-1_56JKQ_2023-08-27_final.stac-item
2023-08-27 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2023-08-27_final.stac-item
2023-08-27 09:34:41	ga_s2bm_ard_3-2-1_56JMP_2023-08-27_final.stac-item
2023-08-27 09:34:45	ga_s2bm_ard_3-2-1_56JLP_2023-08-27_final.stac-item
2023-08-27 09:34:55	ga_s2bm_ard_3-2-1_55JGJ_2023-08-27_final.stac-item
2023-08-27 09:35:10	ga_s2bm_ard_3-2-1_56JMM_2023-08-27_final.stac-item
2023-08-27 09:35:25	ga_s2bm_ard_3-2-1_56JML_2023-08-27_final.stac-item
2023-08-27 09:35:29	ga_s2bm_ard_3-2-1_56JLL_2023-08-27_final.stac-item
2023-08-27 09:35:39	ga_s2bm_ard_3-2-1_56HMK_2023-08-27_final.stac-item
2023-08-27 09:35:46	ga_s2bm_ard_3-2-1_56HKK_2023-08-27_final.stac-item
2023-08-27 09:35:49	ga_s2bm_ard_3-2-1_55HGE_2023-08-27_final.stac-item
2023-08-27 09:36:01	ga_s2bm_ard_3-2-1_56HKJ_2023-08-27_final.stac-item
2023-08-27 09:36:03	ga_s2bm_ard_3-2-1_55HGD_2023-08-27_final.stac-item
2023-08-27 09:36:07	ga_s2bm_ard_3-2-1_55HFD_2023-08-27_final.stac-item
2023-08-27 09:36:27	ga_s2bm_ard_3-2-1_56HLG_2023-08-27_final.stac-item
2023-08-27 09:36:32	ga_s2bm_ard_3-2-1_55HGB_2023-08-27_final.stac-item
2023-08-27 09:36:41	ga_s2bm_ard_3-2-1_56HLF_2023-08-27_nrt.stac-item
2023-08-27 09:36:45	ga_s2bm_ard_3-2-1_56HKF_2023-08-27_final.stac-item
2023-08-27 09:36:46	ga_s2bm_ard_3-2-1_55HGA_2023-08-27_final.stac-item
2023-08-27 09:36:50	ga_s2bm_ard_3-2-1_55HFA_2023-08-27_final.stac-item
2023-08-27 09:36:55	ga_s2bm_ard_3-2-1_56HLE_2023-08-27_nrt.stac-item
2023-08-27 09:36:59	ga_s2bm_ard_3-2-1_56HKE_2023-08-27_nrt.stac-item
2023-08-27 09:36:59	ga_s2bm_ard_3-2-1_55HGV_2023-08-27_final.stac-item
2023-08-27 09:37:01	ga_s2bm_ard_3-2-1_55HFV_2023-08-27_final.stac-item
2023-08-27 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2023-08-27_final.stac-item
2023-08-27 09:37:03	ga_s2bm_ard_3-2-1_56HLE_2023-08-27_nrt.stac-item
2023-08-27 09:37:04	ga_s2bm_ard_3-2-1_56HLD_2023-08-27_nrt.stac-item
2023-08-27 09:37:05	ga_s2bm_ard_3-2-1_56HKD_2023-08-27_nrt.stac-item
2023-08-27 09:37:05	ga_s2bm_ard_3-2-1_56HKE_2023-08-27_nrt.stac-item
2023-08-27 09:37:06	ga_s2bm_ard_3-2-1_55HGU_2023-08-27_final.stac-item
2023-08-27 09:37:06	ga_s2bm_ard_3-2-1_55HGV_2023-08-27_final.stac-item
2023-08-27 09:37:08	ga_s2bm_ard_3-2-1_56HLD_2023-08-27_nrt.stac-item
2023-08-27 09:37:08	ga_s2bm_ard_3-2-1_55HFV_2023-08-27_final.stac-item
2023-08-27 09:37:10	ga_s2bm_ard_3-2-1_55HEV_2023-08-27_final.stac-item
2023-08-27 09:37:14	ga_s2bm_ard_3-2-1_56HKD_2023-08-27_nrt.stac-item
2023-08-27 09:37:15	ga_s2bm_ard_3-2-1_55HGU_2023-08-27_final.stac-item
2023-08-27 09:37:19	ga_s2bm_ard_3-2-1_55HFU_2023-08-27_final.stac-item
2023-08-27 09:37:56	ga_s2bm_ard_3-2-1_55HDS_2023-08-27_final.stac-item
2023-08-27 09:37:58	ga_s2bm_ard_3-2-1_56GKA_2023-08-27_nrt.stac-item
2023-08-27 09:37:58	ga_s2bm_ard_3-2-1_55GGR_2023-08-27_nrt.stac-item
2023-08-27 09:38:02	ga_s2bm_ard_3-2-1_55GFR_2023-08-27_final.stac-item
2023-08-27 09:38:06	ga_s2bm_ard_3-2-1_55GER_2023-08-27_final.stac-item
2023-08-27 09:38:10	ga_s2bm_ard_3-2-1_55GDR_2023-08-27_final.stac-item
2023-08-27 09:38:12	ga_s2bm_ard_3-2-1_56GKV_2023-08-27_nrt.stac-item
2023-08-27 09:38:12	ga_s2bm_ard_3-2-1_55GGQ_2023-08-27_nrt.stac-item
2023-08-27 09:38:17	ga_s2bm_ard_3-2-1_55GFQ_2023-08-27_final.stac-item
2023-08-27 09:38:21	ga_s2bm_ard_3-2-1_55GEQ_2023-08-27_final.stac-item
2023-08-27 09:38:24	ga_s2bm_ard_3-2-1_55GDQ_2023-08-27_final.stac-item
2023-08-27 09:38:31	ga_s2bm_ard_3-2-1_55GFP_2023-08-27_final.stac-item
2023-08-27 09:38:35	ga_s2bm_ard_3-2-1_55GEP_2023-08-27_final.stac-item
2023-08-27 09:38:39	ga_s2bm_ard_3-2-1_55GDP_2023-08-27_final.stac-item
2023-08-27 09:38:44	ga_s2bm_ard_3-2-1_55GCP_2023-08-27_final.stac-item
2023-08-27 09:39:00	ga_s2bm_ard_3-2-1_55GFM_2023-08-27_nrt.stac-item
2023-08-27 09:39:08	ga_s2bm_ard_3-2-1_55GCM_2023-08-27_final.stac-item
2023-08-27 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2023-08-27_final.stac-item
2023-08-27 11:11:53	ga_s2bm_ard_3-2-1_52LEH_2023-08-27_final.stac-item
2023-08-27 11:11:56	ga_s2bm_ard_3-2-1_52LDH_2023-08-27_final.stac-item
2023-08-27 11:12:36	ga_s2bm_ard_3-2-1_52KEE_2023-08-27_final.stac-item
2023-08-27 11:12:39	ga_s2bm_ard_3-2-1_52KDE_2023-08-27_final.stac-item
2023-08-27 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2023-08-27_final.stac-item
2023-08-27 11:13:09	ga_s2bm_ard_3-2-1_52KDC_2023-08-27_final.stac-item
2023-08-27 11:13:41	ga_s2bm_ard_3-2-1_52KCA_2023-08-27_final.stac-item
2023-08-27 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2023-08-27_final.stac-item
2023-08-27 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2023-08-27_final.stac-item
2023-08-27 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2023-08-27_final.stac-item
2023-08-27 11:14:02	ga_s2bm_ard_3-2-1_52KEU_2023-08-27_final.stac-item
2023-08-27 11:14:12	ga_s2bm_ard_3-2-1_52JET_2023-08-27_final.stac-item
2023-08-27 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2023-08-27_final.stac-item
2023-08-27 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2023-08-27_final.stac-item
2023-08-27 11:15:04	ga_s2bm_ard_3-2-1_52JDQ_2023-08-27_final.stac-item
2023-08-27 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2023-08-27_final.stac-item
2023-08-27 11:15:15	ga_s2bm_ard_3-2-1_51JYK_2023-08-27_final.stac-item
2023-08-27 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2023-08-27_final.stac-item
2023-08-27 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2023-08-27_final.stac-item
2023-08-27 11:16:07	ga_s2bm_ard_3-2-1_52JCL_2023-08-27_final.stac-item
2023-08-27 11:16:16	ga_s2bm_ard_3-2-1_51JXF_2023-08-27_final.stac-item
2023-08-27 11:16:24	ga_s2bm_ard_3-2-1_51JWF_2023-08-27_final.stac-item
2023-08-27 11:16:24	ga_s2bm_ard_3-2-1_52HBK_2023-08-27_final.stac-item
2023-08-27 11:16:27	ga_s2bm_ard_3-2-1_51HYE_2023-08-27_final.stac-item
2023-08-27 11:16:32	ga_s2bm_ard_3-2-1_52HCJ_2023-08-27_nrt.stac-item
2023-08-27 11:16:35	ga_s2bm_ard_3-2-1_51HWE_2023-08-27_final.stac-item
2023-08-27 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-08-27_nrt.stac-item
2023-08-27 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-08-27_final.stac-item
2023-08-27 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2023-08-27_final.stac-item
2023-08-27 11:17:06	ga_s2bm_ard_3-2-1_52HBG_2023-08-27_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

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