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
2023-12-21 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-12-21_final.stac-item
2023-12-22 09:22:54	ga_s2bm_ard_3-2-1_56KPA_2023-12-21_nrt.stac-item
2023-12-22 09:23:09	ga_s2bm_ard_3-2-1_56KPV_2023-12-21_nrt.stac-item
2023-12-22 09:23:23	ga_s2bm_ard_3-2-1_56KPU_2023-12-21_nrt.stac-item
2023-12-22 09:23:27	ga_s2bm_ard_3-2-1_56KNU_2023-12-21_nrt.stac-item
2023-12-22 09:23:41	ga_s2bm_ard_3-2-1_56JNT_2023-12-21_final.stac-item
2023-12-22 09:23:52	ga_s2bm_ard_3-2-1_56JPS_2023-12-21_nrt.stac-item
2023-12-22 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2023-12-21_final.stac-item
2023-12-22 09:25:26	ga_s2bm_ard_3-2-1_56JML_2023-12-21_final.stac-item
2023-12-22 09:26:06	ga_s2bm_ard_3-2-1_56HNH_2023-12-21_nrt.stac-item
2023-12-22 09:26:09	ga_s2bm_ard_3-2-1_56HMH_2023-12-21_nrt.stac-item
2023-12-22 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2023-12-21_nrt.stac-item
2023-12-22 09:26:24	ga_s2bm_ard_3-2-1_56HMG_2023-12-21_nrt.stac-item
2023-12-22 09:26:35	ga_s2bm_ard_3-2-1_56HNF_2023-12-21_nrt.stac-item
2023-12-22 09:26:39	ga_s2bm_ard_3-2-1_56HMF_2023-12-21_nrt.stac-item
2023-12-22 09:26:50	ga_s2bm_ard_3-2-1_56HNE_2023-12-21_nrt.stac-item
2023-12-22 09:26:53	ga_s2bm_ard_3-2-1_56HME_2023-12-21_nrt.stac-item
2023-12-22 09:26:57	ga_s2bm_ard_3-2-1_56HLE_2023-12-21_nrt.stac-item
2023-12-22 09:27:00	ga_s2bm_ard_3-2-1_56HKE_2023-12-21_nrt.stac-item
2023-12-22 09:27:02	ga_s2bm_ard_3-2-1_55HGV_2023-12-21_final.stac-item
2023-12-22 09:27:36	ga_s2bm_ard_3-2-1_56HMB_2023-12-21_nrt.stac-item
2023-12-22 09:27:40	ga_s2bm_ard_3-2-1_56HLB_2023-12-21_nrt.stac-item
2023-12-22 09:27:43	ga_s2bm_ard_3-2-1_56HKB_2023-12-21_nrt.stac-item
2023-12-22 09:27:44	ga_s2bm_ard_3-2-1_55HGS_2023-12-21_nrt.stac-item
2023-12-22 09:27:50	ga_s2bm_ard_3-2-1_55HFS_2023-12-21_final.stac-item
2023-12-22 09:27:51	ga_s2bm_ard_3-2-1_56GMA_2023-12-21_nrt.stac-item
2023-12-22 09:27:55	ga_s2bm_ard_3-2-1_56GLA_2023-12-21_nrt.stac-item
2023-12-22 09:27:58	ga_s2bm_ard_3-2-1_56GKA_2023-12-21_nrt.stac-item
2023-12-22 09:27:58	ga_s2bm_ard_3-2-1_55GGR_2023-12-21_nrt.stac-item
2023-12-22 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2023-12-21_final.stac-item
2023-12-22 09:28:06	ga_s2bm_ard_3-2-1_56GMV_2023-12-21_nrt.stac-item
2023-12-22 09:28:09	ga_s2bm_ard_3-2-1_56GLV_2023-12-21_nrt.stac-item
2023-12-22 09:28:13	ga_s2bm_ard_3-2-1_56GKV_2023-12-21_nrt.stac-item
2023-12-22 09:28:13	ga_s2bm_ard_3-2-1_55GGQ_2023-12-21_nrt.stac-item
2023-12-22 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2023-12-21_final.stac-item
2023-12-22 09:28:19	ga_s2bm_ard_3-2-1_56GMU_2023-12-21_nrt.stac-item
2023-12-22 09:28:24	ga_s2bm_ard_3-2-1_56GLU_2023-12-21_nrt.stac-item
2023-12-22 09:28:27	ga_s2bm_ard_3-2-1_55GGP_2023-12-21_nrt.stac-item
2023-12-22 09:28:27	ga_s2bm_ard_3-2-1_56GKU_2023-12-21_nrt.stac-item
2023-12-22 09:28:39	ga_s2bm_ard_3-2-1_55GEP_2023-12-21_final.stac-item
2023-12-22 11:00:12	ga_s2bm_ard_3-2-1_53LLJ_2023-12-22_nrt.stac-item
2023-12-22 11:00:15	ga_s2bm_ard_3-2-1_53LKJ_2023-12-22_final.stac-item
2023-12-22 11:00:17	ga_s2bm_ard_3-2-1_52LHP_2023-12-22_nrt.stac-item
2023-12-22 11:00:23	ga_s2bm_ard_3-2-1_53LMH_2023-12-22_final.stac-item
2023-12-22 11:00:26	ga_s2bm_ard_3-2-1_53LLH_2023-12-22_final.stac-item
2023-12-22 11:00:30	ga_s2bm_ard_3-2-1_53LKH_2023-12-22_final.stac-item
2023-12-22 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2023-12-22_final.stac-item
2023-12-22 11:00:38	ga_s2bm_ard_3-2-1_52LGN_2023-12-22_final.stac-item
2023-12-22 11:00:41	ga_s2bm_ard_3-2-1_53LLG_2023-12-22_final.stac-item
2023-12-22 11:00:44	ga_s2bm_ard_3-2-1_53LKG_2023-12-22_final.stac-item
2023-12-22 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2023-12-22_final.stac-item
2023-12-22 11:00:49	ga_s2bm_ard_3-2-1_52LGM_2023-12-22_final.stac-item
2023-12-22 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2023-12-22_final.stac-item
2023-12-22 11:01:15	ga_s2bm_ard_3-2-1_52LHK_2023-12-22_final.stac-item
2023-12-22 11:01:39	ga_s2bm_ard_3-2-1_53LLC_2023-12-22_final.stac-item
2023-12-22 11:01:51	ga_s2bm_ard_3-2-1_52LFH_2023-12-22_final.stac-item
2023-12-22 11:01:53	ga_s2bm_ard_3-2-1_53KLB_2023-12-22_final.stac-item
2023-12-22 11:02:05	ga_s2bm_ard_3-2-1_52KFG_2023-12-22_final.stac-item
2023-12-22 11:02:13	ga_s2bm_ard_3-2-1_52KHF_2023-12-22_final.stac-item
2023-12-22 11:02:16	ga_s2bm_ard_3-2-1_52KGF_2023-12-22_final.stac-item
2023-12-22 11:02:26	ga_s2bm_ard_3-2-1_53KKV_2023-12-22_final.stac-item
2023-12-22 11:02:27	ga_s2bm_ard_3-2-1_52KHE_2023-12-22_final.stac-item
2023-12-22 11:02:30	ga_s2bm_ard_3-2-1_52KGE_2023-12-22_final.stac-item
2023-12-22 11:02:48	ga_s2bm_ard_3-2-1_52KFD_2023-12-22_final.stac-item
2023-12-22 11:02:53	ga_s2bm_ard_3-2-1_52KED_2023-12-22_final.stac-item
2023-12-22 11:03:03	ga_s2bm_ard_3-2-1_52KFC_2023-12-22_final.stac-item
2023-12-22 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2023-12-22_final.stac-item
2023-12-22 11:03:08	ga_s2bm_ard_3-2-1_53KKS_2023-12-22_final.stac-item
2023-12-22 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2023-12-22_final.stac-item
2023-12-22 11:03:14	ga_s2bm_ard_3-2-1_52KGB_2023-12-22_final.stac-item
2023-12-22 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2023-12-22_final.stac-item
2023-12-22 11:03:20	ga_s2bm_ard_3-2-1_53KKR_2023-12-22_final.stac-item
2023-12-22 11:03:21	ga_s2bm_ard_3-2-1_52KHA_2023-12-22_final.stac-item
2023-12-22 11:03:23	ga_s2bm_ard_3-2-1_52KGA_2023-12-22_final.stac-item
2023-12-22 11:03:23	ga_s2bm_ard_3-2-1_53KKR_2023-12-22_final.stac-item
2023-12-22 11:03:25	ga_s2bm_ard_3-2-1_52KFB_2023-12-22_final.stac-item
2023-12-22 11:03:25	ga_s2bm_ard_3-2-1_52KFA_2023-12-22_final.stac-item
2023-12-22 11:03:26	ga_s2bm_ard_3-2-1_52KEB_2023-12-22_final.stac-item
2023-12-22 11:03:26	ga_s2bm_ard_3-2-1_52KEA_2023-12-22_final.stac-item
2023-12-22 11:03:27	ga_s2bm_ard_3-2-1_52KHA_2023-12-22_final.stac-item
2023-12-22 11:03:30	ga_s2bm_ard_3-2-1_52KGA_2023-12-22_final.stac-item
2023-12-22 11:03:32	ga_s2bm_ard_3-2-1_52KFA_2023-12-22_final.stac-item
2023-12-22 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2023-12-22_final.stac-item
2023-12-22 11:03:42	ga_s2bm_ard_3-2-1_52KGV_2023-12-22_final.stac-item
2023-12-22 11:03:47	ga_s2bm_ard_3-2-1_52KFV_2023-12-22_final.stac-item
2023-12-22 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2023-12-22_final.stac-item
2023-12-22 11:03:54	ga_s2bm_ard_3-2-1_52KDV_2023-12-22_final.stac-item
2023-12-22 11:03:57	ga_s2bm_ard_3-2-1_52KGU_2023-12-22_final.stac-item
2023-12-22 11:04:01	ga_s2bm_ard_3-2-1_52KFU_2023-12-22_final.stac-item
2023-12-22 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2023-12-22_final.stac-item
2023-12-22 11:04:07	ga_s2bm_ard_3-2-1_52KDU_2023-12-22_final.stac-item
2023-12-22 11:04:19	ga_s2bm_ard_3-2-1_52JET_2023-12-22_final.stac-item
2023-12-22 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2023-12-22_final.stac-item
2023-12-22 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2023-12-22_final.stac-item
2023-12-22 11:06:00	ga_s2bm_ard_3-2-1_52JEL_2023-12-22_final.stac-item
2023-12-22 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2023-12-22_final.stac-item
2023-12-22 11:06:29	ga_s2bm_ard_3-2-1_52HEJ_2023-12-22_nrt.stac-item
2023-12-22 11:06:31	ga_s2bm_ard_3-2-1_52HDJ_2023-12-22_nrt.stac-item
2023-12-22 11:06:33	ga_s2bm_ard_3-2-1_52HCJ_2023-12-22_nrt.stac-item
2023-12-22 11:06:34	ga_s2bm_ard_3-2-1_52HBJ_2023-12-22_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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