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
2023-01-25 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2023-01-25_final.stac-item
2023-01-25 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-25_final.stac-item
2023-01-26 09:22:48	ga_s2bm_ard_3-2-1_56KQA_2023-01-25_interim.stac-item
2023-01-26 09:22:51	ga_s2bm_ard_3-2-1_56KPA_2023-01-25_nrt.stac-item
2023-01-26 09:23:06	ga_s2bm_ard_3-2-1_56KPV_2023-01-25_nrt.stac-item
2023-01-26 09:23:20	ga_s2bm_ard_3-2-1_56KPU_2023-01-25_nrt.stac-item
2023-01-26 09:23:52	ga_s2bm_ard_3-2-1_56JNS_2023-01-25_final.stac-item
2023-01-26 09:24:03	ga_s2bm_ard_3-2-1_56JPR_2023-01-25_nrt.stac-item
2023-01-26 09:24:07	ga_s2bm_ard_3-2-1_56JNR_2023-01-25_final.stac-item
2023-01-26 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2023-01-25_final.stac-item
2023-01-26 09:24:26	ga_s2bm_ard_3-2-1_56JMQ_2023-01-25_final.stac-item
2023-01-26 09:24:32	ga_s2bm_ard_3-2-1_56JPP_2023-01-25_nrt.stac-item
2023-01-26 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2023-01-25_final.stac-item
2023-01-26 09:24:39	ga_s2bm_ard_3-2-1_56JMP_2023-01-25_final.stac-item
2023-01-26 09:25:05	ga_s2bm_ard_3-2-1_56JNM_2023-01-25_final.stac-item
2023-01-26 09:25:08	ga_s2bm_ard_3-2-1_56JMM_2023-01-25_final.stac-item
2023-01-26 09:26:32	ga_s2bm_ard_3-2-1_56HNF_2023-01-25_nrt.stac-item
2023-01-26 09:26:36	ga_s2bm_ard_3-2-1_56HMF_2023-01-25_nrt.stac-item
2023-01-26 09:26:47	ga_s2bm_ard_3-2-1_56HNE_2023-01-25_nrt.stac-item
2023-01-26 09:26:50	ga_s2bm_ard_3-2-1_56HME_2023-01-25_nrt.stac-item
2023-01-26 09:26:54	ga_s2bm_ard_3-2-1_56HLE_2023-01-25_nrt.stac-item
2023-01-26 09:26:57	ga_s2bm_ard_3-2-1_56HKE_2023-01-25_nrt.stac-item
2023-01-26 09:26:59	ga_s2bm_ard_3-2-1_55HGV_2023-01-25_final.stac-item
2023-01-26 09:27:37	ga_s2bm_ard_3-2-1_56HLB_2023-01-25_nrt.stac-item
2023-01-26 09:27:41	ga_s2bm_ard_3-2-1_55HGS_2023-01-25_nrt.stac-item
2023-01-26 09:27:47	ga_s2bm_ard_3-2-1_55HFS_2023-01-25_final.stac-item
2023-01-26 09:27:48	ga_s2bm_ard_3-2-1_56GMA_2023-01-25_nrt.stac-item
2023-01-26 09:27:52	ga_s2bm_ard_3-2-1_56GLA_2023-01-25_nrt.stac-item
2023-01-26 09:27:55	ga_s2bm_ard_3-2-1_56GKA_2023-01-25_nrt.stac-item
2023-01-26 09:27:55	ga_s2bm_ard_3-2-1_55GGR_2023-01-25_nrt.stac-item
2023-01-26 09:27:59	ga_s2bm_ard_3-2-1_55GFR_2023-01-25_final.stac-item
2023-01-26 09:28:03	ga_s2bm_ard_3-2-1_56GMV_2023-01-25_nrt.stac-item
2023-01-26 09:28:06	ga_s2bm_ard_3-2-1_56GLV_2023-01-25_nrt.stac-item
2023-01-26 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2023-01-25_nrt.stac-item
2023-01-26 09:28:10	ga_s2bm_ard_3-2-1_55GGQ_2023-01-25_nrt.stac-item
2023-01-26 09:28:14	ga_s2bm_ard_3-2-1_55GFQ_2023-01-25_final.stac-item
2023-01-26 11:00:05	ga_s2bm_ard_3-2-1_53LMJ_2023-01-26_nrt.stac-item
2023-01-26 11:00:09	ga_s2bm_ard_3-2-1_53LLJ_2023-01-26_nrt.stac-item
2023-01-26 11:00:12	ga_s2bm_ard_3-2-1_53LKJ_2023-01-26_final.stac-item
2023-01-26 11:00:14	ga_s2bm_ard_3-2-1_52LHP_2023-01-26_nrt.stac-item
2023-01-26 11:00:20	ga_s2bm_ard_3-2-1_53LMH_2023-01-26_final.stac-item
2023-01-26 11:00:23	ga_s2bm_ard_3-2-1_53LLH_2023-01-26_final.stac-item
2023-01-26 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2023-01-26_final.stac-item
2023-01-26 11:00:35	ga_s2bm_ard_3-2-1_52LGN_2023-01-26_final.stac-item
2023-01-26 11:00:38	ga_s2bm_ard_3-2-1_53LLG_2023-01-26_final.stac-item
2023-01-26 11:00:41	ga_s2bm_ard_3-2-1_53LKG_2023-01-26_final.stac-item
2023-01-26 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2023-01-26_final.stac-item
2023-01-26 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2023-01-26_final.stac-item
2023-01-26 11:00:56	ga_s2bm_ard_3-2-1_53LME_2023-01-26_final.stac-item
2023-01-26 11:01:07	ga_s2bm_ard_3-2-1_53LLE_2023-01-26_final.stac-item
2023-01-26 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2023-01-26_final.stac-item
2023-01-26 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2023-01-26_final.stac-item
2023-01-26 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2023-01-26_final.stac-item
2023-01-26 11:01:36	ga_s2bm_ard_3-2-1_53LLC_2023-01-26_final.stac-item
2023-01-26 11:01:39	ga_s2bm_ard_3-2-1_53LKC_2023-01-26_final.stac-item
2023-01-26 11:01:44	ga_s2bm_ard_3-2-1_52LGH_2023-01-26_final.stac-item
2023-01-26 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2023-01-26_final.stac-item
2023-01-26 11:01:57	ga_s2bm_ard_3-2-1_53KLB_2023-01-26_final.stac-item
2023-01-26 11:01:57	ga_s2bm_ard_3-2-1_53KLA_2023-01-26_final.stac-item
2023-01-26 11:01:59	ga_s2bm_ard_3-2-1_53KKB_2023-01-26_final.stac-item
2023-01-26 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2023-01-26_final.stac-item
2023-01-26 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2023-01-26_final.stac-item
2023-01-26 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2023-01-26_final.stac-item
2023-01-26 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2023-01-26_final.stac-item
2023-01-26 11:02:23	ga_s2bm_ard_3-2-1_53KKV_2023-01-26_final.stac-item
2023-01-26 11:02:24	ga_s2bm_ard_3-2-1_52KHE_2023-01-26_final.stac-item
2023-01-26 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2023-01-26_final.stac-item
2023-01-26 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-01-26_final.stac-item
2023-01-26 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2023-01-26_final.stac-item
2023-01-26 11:02:50	ga_s2bm_ard_3-2-1_52KED_2023-01-26_final.stac-item
2023-01-26 11:03:06	ga_s2bm_ard_3-2-1_53KKS_2023-01-26_final.stac-item
2023-01-26 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2023-01-26_final.stac-item
2023-01-26 11:03:17	ga_s2bm_ard_3-2-1_53KKR_2023-01-26_final.stac-item
2023-01-26 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2023-01-26_final.stac-item
2023-01-26 11:03:25	ga_s2bm_ard_3-2-1_52KGA_2023-01-26_final.stac-item
2023-01-26 11:03:29	ga_s2bm_ard_3-2-1_52KFA_2023-01-26_final.stac-item
2023-01-26 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2023-01-26_final.stac-item
2023-01-26 11:03:39	ga_s2bm_ard_3-2-1_52KGV_2023-01-26_final.stac-item
2023-01-26 11:03:43	ga_s2bm_ard_3-2-1_52KFV_2023-01-26_final.stac-item
2023-01-26 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2023-01-26_final.stac-item
2023-01-26 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2023-01-26_final.stac-item
2023-01-26 11:04:22	ga_s2bm_ard_3-2-1_52JGS_2023-01-26_final.stac-item
2023-01-26 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-26_final.stac-item
2023-01-26 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-26_final.stac-item
2023-01-26 11:04:41	ga_s2bm_ard_3-2-1_52JFR_2023-01-26_final.stac-item
2023-01-26 11:04:45	ga_s2bm_ard_3-2-1_52JER_2023-01-26_final.stac-item
2023-01-26 11:04:48	ga_s2bm_ard_3-2-1_52JDR_2023-01-26_final.stac-item
2023-01-26 11:04:54	ga_s2bm_ard_3-2-1_52JCR_2023-01-26_final.stac-item
2023-01-26 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2023-01-26_final.stac-item
2023-01-26 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2023-01-26_final.stac-item
2023-01-26 11:05:08	ga_s2bm_ard_3-2-1_52JEQ_2023-01-26_final.stac-item
2023-01-26 11:05:08	ga_s2bm_ard_3-2-1_52JEP_2023-01-26_final.stac-item
2023-01-26 11:05:09	ga_s2bm_ard_3-2-1_52JDQ_2023-01-26_final.stac-item
2023-01-26 11:05:10	ga_s2bm_ard_3-2-1_52JCQ_2023-01-26_final.stac-item
2023-01-26 11:05:13	ga_s2bm_ard_3-2-1_52JFP_2023-01-26_final.stac-item
2023-01-26 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2023-01-26_final.stac-item
2023-01-26 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2023-01-26_final.stac-item
2023-01-26 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2023-01-26_final.stac-item
2023-01-26 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2023-01-26_final.stac-item
2023-01-26 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-01-26_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

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