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
2023-12-07 11:55:31	ga_s2bm_ard_3-2-1_50JNP_2023-12-07_final.stac-item
2023-12-07 11:55:35	ga_s2bm_ard_3-2-1_50JMP_2023-12-07_final.stac-item
2023-12-07 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2023-12-07_final.stac-item
2023-12-07 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-12-07_final.stac-item
2023-12-07 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2023-12-07_final.stac-item
2023-12-07 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2023-12-07_final.stac-item
2023-12-07 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2023-12-07_final.stac-item
2023-12-07 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2023-12-07_final.stac-item
2023-12-07 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-12-07_final.stac-item
2023-12-07 11:56:40	ga_s2bm_ard_3-2-1_50HKK_2023-12-07_nrt.stac-item
2023-12-07 11:56:42	ga_s2bm_ard_3-2-1_49HGE_2023-12-07_nrt.stac-item
2023-12-07 11:56:55	ga_s2bm_ard_3-2-1_50HKJ_2023-12-07_nrt.stac-item
2023-12-07 11:56:56	ga_s2bm_ard_3-2-1_49HGD_2023-12-07_nrt.stac-item
2023-12-07 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-12-07_final.stac-item
2023-12-07 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-12-07_nrt.stac-item
2023-12-08 09:41:17	ga_s2bm_ard_3-2-1_56KNG_2023-12-08_nrt.stac-item
2023-12-08 09:41:20	ga_s2bm_ard_3-2-1_56KMG_2023-12-08_final.stac-item
2023-12-08 09:41:23	ga_s2bm_ard_3-2-1_56KLG_2023-12-08_final.stac-item
2023-12-08 09:41:31	ga_s2bm_ard_3-2-1_56KNF_2023-12-08_nrt.stac-item
2023-12-08 09:41:35	ga_s2bm_ard_3-2-1_56KMF_2023-12-08_final.stac-item
2023-12-08 09:41:43	ga_s2bm_ard_3-2-1_56KNE_2023-12-08_nrt.stac-item
2023-12-08 09:41:53	ga_s2bm_ard_3-2-1_56KLE_2023-12-08_final.stac-item
2023-12-08 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2023-12-08_final.stac-item
2023-12-08 09:42:07	ga_s2bm_ard_3-2-1_56KLD_2023-12-08_final.stac-item
2023-12-08 09:42:40	ga_s2bm_ard_3-2-1_55KHS_2023-12-08_final.stac-item
2023-12-08 09:43:09	ga_s2bm_ard_3-2-1_55KHQ_2023-12-08_final.stac-item
2023-12-08 09:43:23	ga_s2bm_ard_3-2-1_55KHP_2023-12-08_final.stac-item
2023-12-08 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2023-12-08_final.stac-item
2023-12-08 09:44:13	ga_s2bm_ard_3-2-1_56JLQ_2023-12-08_final.stac-item
2023-12-08 09:44:21	ga_s2bm_ard_3-2-1_56JKQ_2023-12-08_final.stac-item
2023-12-08 09:44:22	ga_s2bm_ard_3-2-1_55JEL_2023-12-08_final.stac-item
2023-12-08 09:44:25	ga_s2bm_ard_3-2-1_55JGK_2023-12-08_final.stac-item
2023-12-08 09:44:28	ga_s2bm_ard_3-2-1_55JFK_2023-12-08_final.stac-item
2023-12-08 09:44:32	ga_s2bm_ard_3-2-1_55JEK_2023-12-08_final.stac-item
2023-12-08 09:44:43	ga_s2bm_ard_3-2-1_55JFJ_2023-12-08_final.stac-item
2023-12-08 09:44:51	ga_s2bm_ard_3-2-1_56JKN_2023-12-08_final.stac-item
2023-12-08 09:45:15	ga_s2bm_ard_3-2-1_55JEG_2023-12-08_final.stac-item
2023-12-08 09:45:26	ga_s2bm_ard_3-2-1_55JFF_2023-12-08_final.stac-item
2023-12-08 09:45:29	ga_s2bm_ard_3-2-1_56HKK_2023-12-08_final.stac-item
2023-12-08 09:45:30	ga_s2bm_ard_3-2-1_55JEF_2023-12-08_final.stac-item
2023-12-08 09:45:34	ga_s2bm_ard_3-2-1_55JDF_2023-12-08_final.stac-item
2023-12-08 09:45:37	ga_s2bm_ard_3-2-1_55HGE_2023-12-08_final.stac-item
2023-12-08 09:45:41	ga_s2bm_ard_3-2-1_55HFE_2023-12-08_final.stac-item
2023-12-08 09:45:44	ga_s2bm_ard_3-2-1_55HEE_2023-12-08_final.stac-item
2023-12-08 09:45:47	ga_s2bm_ard_3-2-1_55HDE_2023-12-08_final.stac-item
2023-12-08 09:45:51	ga_s2bm_ard_3-2-1_55HGD_2023-12-08_final.stac-item
2023-12-08 09:46:04	ga_s2bm_ard_3-2-1_55HGC_2023-12-08_final.stac-item
2023-12-08 09:46:17	ga_s2bm_ard_3-2-1_55HDC_2023-12-08_final.stac-item
2023-12-08 09:46:24	ga_s2bm_ard_3-2-1_55HFB_2023-12-08_final.stac-item
2023-12-08 09:46:31	ga_s2bm_ard_3-2-1_55HDB_2023-12-08_final.stac-item
2023-12-08 09:46:38	ga_s2bm_ard_3-2-1_55HFA_2023-12-08_final.stac-item
2023-12-08 09:47:06	ga_s2bm_ard_3-2-1_55HFU_2023-12-08_final.stac-item
2023-12-08 09:47:11	ga_s2bm_ard_3-2-1_55HEU_2023-12-08_final.stac-item
2023-12-08 09:47:33	ga_s2bm_ard_3-2-1_55HCT_2023-12-08_final.stac-item
2023-12-08 09:47:40	ga_s2bm_ard_3-2-1_55HES_2023-12-08_final.stac-item
2023-12-08 09:47:41	ga_s2bm_ard_3-2-1_54HYC_2023-12-08_final.stac-item
2023-12-08 09:47:44	ga_s2bm_ard_3-2-1_55HDS_2023-12-08_final.stac-item
2023-12-08 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2023-12-08_final.stac-item
2023-12-08 09:48:19	ga_s2bm_ard_3-2-1_55GEP_2023-12-08_final.stac-item
2023-12-08 09:48:27	ga_s2bm_ard_3-2-1_55GDP_2023-12-08_final.stac-item
2023-12-08 09:48:31	ga_s2bm_ard_3-2-1_55GCP_2023-12-08_final.stac-item
2023-12-08 09:48:34	ga_s2bm_ard_3-2-1_54GYU_2023-12-08_nrt.stac-item
2023-12-08 09:48:34	ga_s2bm_ard_3-2-1_55GBP_2023-12-08_nrt.stac-item
2023-12-08 09:48:39	ga_s2bm_ard_3-2-1_54GXU_2023-12-08_nrt.stac-item
2023-12-08 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2023-12-08_final.stac-item
2023-12-08 11:21:22	ga_s2bm_ard_3-2-1_51LZE_2023-12-08_final.stac-item
2023-12-08 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2023-12-08_final.stac-item
2023-12-08 11:21:43	ga_s2bm_ard_3-2-1_52LDH_2023-12-08_final.stac-item
2023-12-08 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2023-12-08_final.stac-item
2023-12-08 11:21:50	ga_s2bm_ard_3-2-1_52LBH_2023-12-08_final.stac-item
2023-12-08 11:21:51	ga_s2bm_ard_3-2-1_51LZC_2023-12-08_final.stac-item
2023-12-08 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2023-12-08_final.stac-item
2023-12-08 11:21:57	ga_s2bm_ard_3-2-1_52KDG_2023-12-08_final.stac-item
2023-12-08 11:22:01	ga_s2bm_ard_3-2-1_52KCG_2023-12-08_final.stac-item
2023-12-08 11:22:15	ga_s2bm_ard_3-2-1_52KCF_2023-12-08_final.stac-item
2023-12-08 11:22:30	ga_s2bm_ard_3-2-1_52KCE_2023-12-08_final.stac-item
2023-12-08 11:22:45	ga_s2bm_ard_3-2-1_52KCD_2023-12-08_final.stac-item
2023-12-08 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2023-12-08_final.stac-item
2023-12-08 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2023-12-08_final.stac-item
2023-12-08 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2023-12-08_final.stac-item
2023-12-08 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2023-12-08_final.stac-item
2023-12-08 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2023-12-08_final.stac-item
2023-12-08 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2023-12-08_final.stac-item
2023-12-08 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-12-08_final.stac-item
2023-12-08 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-12-08_final.stac-item
2023-12-08 11:24:55	ga_s2bm_ard_3-2-1_51JWL_2023-12-08_final.stac-item
2023-12-08 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2023-12-08_final.stac-item
2023-12-08 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2023-12-08_final.stac-item
2023-12-08 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-12-08_final.stac-item
2023-12-08 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2023-12-08_final.stac-item
2023-12-08 11:25:31	ga_s2bm_ard_3-2-1_51JYH_2023-12-08_final.stac-item
2023-12-08 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2023-12-08_final.stac-item
2023-12-08 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2023-12-08_final.stac-item
2023-12-08 11:26:04	ga_s2bm_ard_3-2-1_51JXF_2023-12-08_final.stac-item
2023-12-08 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2023-12-08_final.stac-item
2023-12-08 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2023-12-08_final.stac-item
2023-12-08 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2023-12-08_final.stac-item
2023-12-08 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2023-12-08_final.stac-item
2023-12-08 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2023-12-08_final.stac-item
2023-12-08 11:27:07	ga_s2bm_ard_3-2-1_51HVB_2023-12-08_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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