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

First 100 results (query limit)

Time (local)	Label
2022-12-16 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2022-12-16_final.stac-item
2022-12-16 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2022-12-16_final.stac-item
2022-12-16 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2022-12-16_final.stac-item
2022-12-16 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2022-12-16_final.stac-item
2022-12-16 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2022-12-16_final.stac-item
2022-12-16 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2022-12-16_final.stac-item
2022-12-16 11:35:46	ga_s2bm_ard_3-2-1_51JTH_2022-12-16_final.stac-item
2022-12-16 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2022-12-16_final.stac-item
2022-12-16 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2022-12-16_final.stac-item
2022-12-16 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-12-16_final.stac-item
2022-12-16 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2022-12-16_final.stac-item
2022-12-16 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2022-12-16_final.stac-item
2022-12-16 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-12-16_final.stac-item
2022-12-16 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2022-12-16_final.stac-item
2022-12-16 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2022-12-16_final.stac-item
2022-12-16 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2022-12-16_final.stac-item
2022-12-17 09:24:04	ga_s2bm_ard_3-2-1_56JPR_2022-12-16_nrt.stac-item
2022-12-17 09:24:08	ga_s2bm_ard_3-2-1_56JNR_2022-12-16_final.stac-item
2022-12-17 09:24:19	ga_s2bm_ard_3-2-1_56JPQ_2022-12-16_nrt.stac-item
2022-12-17 09:24:22	ga_s2bm_ard_3-2-1_56JNQ_2022-12-16_final.stac-item
2022-12-17 09:24:26	ga_s2bm_ard_3-2-1_56JMQ_2022-12-16_final.stac-item
2022-12-17 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2022-12-16_final.stac-item
2022-12-17 09:24:40	ga_s2bm_ard_3-2-1_56JMP_2022-12-16_final.stac-item
2022-12-17 09:24:47	ga_s2bm_ard_3-2-1_56JPN_2022-12-16_nrt.stac-item
2022-12-17 09:25:02	ga_s2bm_ard_3-2-1_56JPM_2022-12-16_nrt.stac-item
2022-12-17 09:25:20	ga_s2bm_ard_3-2-1_56JNL_2022-12-16_final.stac-item
2022-12-17 09:25:23	ga_s2bm_ard_3-2-1_56JML_2022-12-16_final.stac-item
2022-12-17 09:25:28	ga_s2bm_ard_3-2-1_56JLL_2022-12-16_final.stac-item
2022-12-17 09:25:59	ga_s2bm_ard_3-2-1_56HPH_2022-12-16_nrt.stac-item
2022-12-17 09:26:03	ga_s2bm_ard_3-2-1_56HNH_2022-12-16_nrt.stac-item
2022-12-17 09:26:07	ga_s2bm_ard_3-2-1_56HMH_2022-12-16_nrt.stac-item
2022-12-17 09:26:10	ga_s2bm_ard_3-2-1_56HLH_2022-12-16_final.stac-item
2022-12-17 09:26:18	ga_s2bm_ard_3-2-1_56HNG_2022-12-16_nrt.stac-item
2022-12-17 09:26:22	ga_s2bm_ard_3-2-1_56HMG_2022-12-16_nrt.stac-item
2022-12-17 09:26:32	ga_s2bm_ard_3-2-1_56HNF_2022-12-16_nrt.stac-item
2022-12-17 09:26:36	ga_s2bm_ard_3-2-1_56HMF_2022-12-16_nrt.stac-item
2022-12-17 09:26:47	ga_s2bm_ard_3-2-1_56HNE_2022-12-16_nrt.stac-item
2022-12-17 09:26:51	ga_s2bm_ard_3-2-1_56HME_2022-12-16_nrt.stac-item
2022-12-17 09:26:54	ga_s2bm_ard_3-2-1_56HLE_2022-12-16_nrt.stac-item
2022-12-17 09:26:57	ga_s2bm_ard_3-2-1_56HKE_2022-12-16_nrt.stac-item
2022-12-17 09:26:59	ga_s2bm_ard_3-2-1_55HGV_2022-12-16_final.stac-item
2022-12-17 09:27:13	ga_s2bm_ard_3-2-1_56HNC_2022-12-16_nrt.stac-item
2022-12-17 09:27:27	ga_s2bm_ard_3-2-1_56HKC_2022-12-16_nrt.stac-item
2022-12-17 09:27:34	ga_s2bm_ard_3-2-1_56HMB_2022-12-16_nrt.stac-item
2022-12-17 09:27:38	ga_s2bm_ard_3-2-1_56HLB_2022-12-16_nrt.stac-item
2022-12-17 09:27:41	ga_s2bm_ard_3-2-1_56HKB_2022-12-16_nrt.stac-item
2022-12-17 09:27:42	ga_s2bm_ard_3-2-1_55HGS_2022-12-16_nrt.stac-item
2022-12-17 09:27:47	ga_s2bm_ard_3-2-1_55HFS_2022-12-16_final.stac-item
2022-12-17 09:27:49	ga_s2bm_ard_3-2-1_56GMA_2022-12-16_nrt.stac-item
2022-12-17 09:27:52	ga_s2bm_ard_3-2-1_56GLA_2022-12-16_nrt.stac-item
2022-12-17 09:27:56	ga_s2bm_ard_3-2-1_56GKA_2022-12-16_nrt.stac-item
2022-12-17 09:27:56	ga_s2bm_ard_3-2-1_55GGR_2022-12-16_nrt.stac-item
2022-12-17 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2022-12-16_final.stac-item
2022-12-17 09:28:03	ga_s2bm_ard_3-2-1_56GMV_2022-12-16_nrt.stac-item
2022-12-17 09:28:07	ga_s2bm_ard_3-2-1_56GLV_2022-12-16_nrt.stac-item
2022-12-17 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2022-12-16_nrt.stac-item
2022-12-17 09:28:10	ga_s2bm_ard_3-2-1_55GGQ_2022-12-16_nrt.stac-item
2022-12-17 09:28:14	ga_s2bm_ard_3-2-1_55GFQ_2022-12-16_final.stac-item
2022-12-17 09:28:16	ga_s2bm_ard_3-2-1_56GMU_2022-12-16_nrt.stac-item
2022-12-17 09:28:21	ga_s2bm_ard_3-2-1_56GLU_2022-12-16_nrt.stac-item
2022-12-17 09:28:25	ga_s2bm_ard_3-2-1_55GGP_2022-12-16_nrt.stac-item
2022-12-17 09:28:25	ga_s2bm_ard_3-2-1_56GKU_2022-12-16_nrt.stac-item
2022-12-17 09:28:27	ga_s2bm_ard_3-2-1_56GMT_2022-12-16_nrt.stac-item
2022-12-17 09:28:29	ga_s2bm_ard_3-2-1_55GFP_2022-12-16_final.stac-item
2022-12-17 09:28:36	ga_s2bm_ard_3-2-1_56GLT_2022-12-16_nrt.stac-item
2022-12-17 09:28:36	ga_s2bm_ard_3-2-1_55GEP_2022-12-16_final.stac-item
2022-12-17 09:28:39	ga_s2bm_ard_3-2-1_55GGN_2022-12-16_nrt.stac-item
2022-12-17 09:28:43	ga_s2bm_ard_3-2-1_55GFN_2022-12-16_final.stac-item
2022-12-17 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2022-12-16_final.stac-item
2022-12-17 09:28:50	ga_s2bm_ard_3-2-1_56GLS_2022-12-16_nrt.stac-item
2022-12-17 09:28:53	ga_s2bm_ard_3-2-1_55GGM_2022-12-16_nrt.stac-item
2022-12-17 09:28:57	ga_s2bm_ard_3-2-1_55GFM_2022-12-16_nrt.stac-item
2022-12-17 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2022-12-16_final.stac-item
2022-12-17 11:01:37	ga_s2bm_ard_3-2-1_53LLC_2022-12-17_final.stac-item
2022-12-17 11:01:40	ga_s2bm_ard_3-2-1_53LKC_2022-12-17_final.stac-item
2022-12-17 11:01:41	ga_s2bm_ard_3-2-1_52LHH_2022-12-17_final.stac-item
2022-12-17 11:01:45	ga_s2bm_ard_3-2-1_52LGH_2022-12-17_final.stac-item
2022-12-17 11:01:49	ga_s2bm_ard_3-2-1_52LFH_2022-12-17_final.stac-item
2022-12-17 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2022-12-17_final.stac-item
2022-12-17 11:02:50	ga_s2bm_ard_3-2-1_52KED_2022-12-17_final.stac-item
2022-12-17 11:04:42	ga_s2bm_ard_3-2-1_52JFR_2022-12-17_final.stac-item
2022-12-17 11:04:46	ga_s2bm_ard_3-2-1_52JER_2022-12-17_final.stac-item
2022-12-17 11:04:49	ga_s2bm_ard_3-2-1_52JDR_2022-12-17_final.stac-item
2022-12-17 11:04:54	ga_s2bm_ard_3-2-1_52JCR_2022-12-17_final.stac-item
2022-12-17 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2022-12-17_final.stac-item
2022-12-17 11:05:00	ga_s2bm_ard_3-2-1_52JEQ_2022-12-17_final.stac-item
2022-12-17 11:05:03	ga_s2bm_ard_3-2-1_52JDQ_2022-12-17_final.stac-item
2022-12-17 11:05:07	ga_s2bm_ard_3-2-1_52JCQ_2022-12-17_final.stac-item
2022-12-17 11:05:14	ga_s2bm_ard_3-2-1_52JEP_2022-12-17_final.stac-item
2022-12-17 11:05:18	ga_s2bm_ard_3-2-1_52JDP_2022-12-17_final.stac-item
2022-12-17 11:05:25	ga_s2bm_ard_3-2-1_52JFN_2022-12-17_final.stac-item
2022-12-17 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2022-12-17_final.stac-item
2022-12-17 11:05:37	ga_s2bm_ard_3-2-1_52JFM_2022-12-17_final.stac-item
2022-12-17 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2022-12-17_final.stac-item
2022-12-17 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2022-12-17_final.stac-item
2022-12-17 11:05:58	ga_s2bm_ard_3-2-1_52JEL_2022-12-17_final.stac-item
2022-12-17 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-12-17_final.stac-item
2022-12-17 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2022-12-17_final.stac-item
2022-12-17 11:06:33	ga_s2bm_ard_3-2-1_52HBJ_2022-12-17_nrt.stac-item
2022-12-17 11:06:35	ga_s2bm_ard_3-2-1_52HEH_2022-12-17_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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