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
2023-07-12 10:50:32	ga_s2bm_ard_3-2-1_53LQG_2023-07-12_final.stac-item
2023-07-12 10:51:15	ga_s2bm_ard_3-2-1_53LME_2023-07-12_final.stac-item
2023-07-12 10:51:42	ga_s2bm_ard_3-2-1_53LLC_2023-07-12_final.stac-item
2023-07-12 10:51:45	ga_s2bm_ard_3-2-1_53LNC_2023-07-12_final.stac-item
2023-07-12 10:51:49	ga_s2bm_ard_3-2-1_53LLC_2023-07-12_final.stac-item
2023-07-12 10:51:59	ga_s2bm_ard_3-2-1_53KMB_2023-07-12_final.stac-item
2023-07-12 10:52:49	ga_s2bm_ard_3-2-1_52KHD_2023-07-12_final.stac-item
2023-07-12 10:53:04	ga_s2bm_ard_3-2-1_52KHC_2023-07-12_final.stac-item
2023-07-12 10:53:12	ga_s2bm_ard_3-2-1_53KMS_2023-07-12_final.stac-item
2023-07-12 10:54:06	ga_s2bm_ard_3-2-1_52KGU_2023-07-12_final.stac-item
2023-07-12 10:54:24	ga_s2bm_ard_3-2-1_52JGT_2023-07-12_final.stac-item
2023-07-12 10:54:27	ga_s2bm_ard_3-2-1_52JFT_2023-07-12_final.stac-item
2023-07-12 10:55:22	ga_s2bm_ard_3-2-1_52JFP_2023-07-12_final.stac-item
2023-07-12 10:55:59	ga_s2bm_ard_3-2-1_53JKF_2023-07-12_final.stac-item
2023-07-13 10:19:42	ga_s2bm_ard_3-2-1_54LZQ_2023-07-13_final.stac-item
2023-07-13 10:19:46	ga_s2bm_ard_3-2-1_54LYQ_2023-07-13_final.stac-item
2023-07-13 10:19:57	ga_s2bm_ard_3-2-1_54LZP_2023-07-13_final.stac-item
2023-07-13 10:20:04	ga_s2bm_ard_3-2-1_54LXP_2023-07-13_final.stac-item
2023-07-13 10:21:12	ga_s2bm_ard_3-2-1_54LYJ_2023-07-13_final.stac-item
2023-07-13 10:21:31	ga_s2bm_ard_3-2-1_54LXH_2023-07-13_final.stac-item
2023-07-13 10:22:06	ga_s2bm_ard_3-2-1_54KVF_2023-07-13_final.stac-item
2023-07-13 10:22:28	ga_s2bm_ard_3-2-1_54KUE_2023-07-13_final.stac-item
2023-07-13 10:22:32	ga_s2bm_ard_3-2-1_54KWD_2023-07-13_final.stac-item
2023-07-13 10:22:43	ga_s2bm_ard_3-2-1_54KXC_2023-07-13_final.stac-item
2023-07-13 10:23:22	ga_s2bm_ard_3-2-1_54KXV_2023-07-13_final.stac-item
2023-07-13 10:23:22	ga_s2bm_ard_3-2-1_54KUA_2023-07-13_final.stac-item
2023-07-13 10:23:42	ga_s2bm_ard_3-2-1_54KTV_2023-07-13_final.stac-item
2023-07-13 10:26:49	ga_s2bm_ard_3-2-1_54HTG_2023-07-13_final.stac-item
2023-07-13 10:26:55	ga_s2bm_ard_3-2-1_54HUF_2023-07-13_final.stac-item
2023-07-13 10:26:58	ga_s2bm_ard_3-2-1_53HNB_2023-07-13_final.stac-item
2023-07-13 10:27:17	ga_s2bm_ard_3-2-1_53HQV_2023-07-13_final.stac-item
2023-07-13 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2023-07-13_final.stac-item
2023-07-13 12:03:42	ga_s2bm_ard_3-2-1_50KMB_2023-07-13_final.stac-item
2023-07-13 12:04:00	ga_s2bm_ard_3-2-1_50KLA_2023-07-13_final.stac-item
2023-07-13 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2023-07-13_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-07-13_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-07-13_final.stac-item
2023-07-13 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-07-13_final.stac-item
2023-07-13 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-07-13_final.stac-item
2023-07-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-07-13_final.stac-item
2023-07-13 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-07-13_final.stac-item
2023-07-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-07-13_final.stac-item
2023-07-14 09:51:23	ga_s2bm_ard_3-2-1_55LFC_2023-07-14_final.stac-item
2023-07-14 09:51:35	ga_s2bm_ard_3-2-1_55KGB_2023-07-14_final.stac-item
2023-07-14 09:51:38	ga_s2bm_ard_3-2-1_55KFB_2023-07-14_final.stac-item
2023-07-14 09:52:25	ga_s2bm_ard_3-2-1_55KEU_2023-07-14_final.stac-item
2023-07-14 09:52:36	ga_s2bm_ard_3-2-1_55KFT_2023-07-14_final.stac-item
2023-07-14 09:52:39	ga_s2bm_ard_3-2-1_55KET_2023-07-14_final.stac-item
2023-07-14 09:52:40	ga_s2bm_ard_3-2-1_55KHS_2023-07-14_final.stac-item
2023-07-14 09:53:34	ga_s2bm_ard_3-2-1_55KFP_2023-07-14_final.stac-item
2023-07-14 09:53:41	ga_s2bm_ard_3-2-1_55KDP_2023-07-14_final.stac-item
2023-07-14 09:53:52	ga_s2bm_ard_3-2-1_55JGM_2023-07-14_final.stac-item
2023-07-14 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2023-07-14_final.stac-item
2023-07-14 09:54:14	ga_s2bm_ard_3-2-1_55JCM_2023-07-14_final.stac-item
2023-07-14 09:55:19	ga_s2bm_ard_3-2-1_55JEG_2023-07-14_final.stac-item
2023-07-14 09:55:26	ga_s2bm_ard_3-2-1_55JCG_2023-07-14_final.stac-item
2023-07-14 09:56:10	ga_s2bm_ard_3-2-1_55HCD_2023-07-14_final.stac-item
2023-07-14 09:56:21	ga_s2bm_ard_3-2-1_55HDC_2023-07-14_final.stac-item
2023-07-14 09:56:29	ga_s2bm_ard_3-2-1_54HYH_2023-07-14_final.stac-item
2023-07-14 09:57:11	ga_s2bm_ard_3-2-1_55HBV_2023-07-14_final.stac-item
2023-07-14 09:57:26	ga_s2bm_ard_3-2-1_55HBU_2023-07-14_final.stac-item
2023-07-14 09:57:27	ga_s2bm_ard_3-2-1_54HYD_2023-07-14_final.stac-item
2023-07-14 09:57:31	ga_s2bm_ard_3-2-1_54HXD_2023-07-14_final.stac-item
2023-07-14 09:57:37	ga_s2bm_ard_3-2-1_55HCT_2023-07-14_final.stac-item
2023-07-14 09:57:41	ga_s2bm_ard_3-2-1_54HYC_2023-07-14_final.stac-item
2023-07-14 11:31:58	ga_s2bm_ard_3-2-1_51LYC_2023-07-14_final.stac-item
2023-07-14 11:32:16	ga_s2bm_ard_3-2-1_51KXB_2023-07-14_final.stac-item
2023-07-14 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2023-07-14_final.stac-item
2023-07-14 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2023-07-14_final.stac-item
2023-07-14 11:35:13	ga_s2bm_ard_3-2-1_51JWK_2023-07-14_final.stac-item
2023-07-14 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2023-07-14_final.stac-item
2023-07-14 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-07-14_final.stac-item
2023-07-14 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2023-07-14_final.stac-item
2023-07-14 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2023-07-14_final.stac-item
2023-07-14 11:35:42	ga_s2bm_ard_3-2-1_50JQP_2023-07-14_final.stac-item
2023-07-14 11:35:49	ga_s2bm_ard_3-2-1_51JUH_2023-07-14_final.stac-item
2023-07-14 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-07-14_final.stac-item
2023-07-14 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-07-14_final.stac-item
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final.stac-item
2023-07-14 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2023-07-14_final.stac-item
2023-07-14 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-07-14_final.stac-item
2023-07-15 09:27:06	ga_s2bm_ard_3-2-1_55HGV_2023-07-14_final.stac-item
2023-07-15 09:28:41	ga_s2bm_ard_3-2-1_55GEP_2023-07-14_final.stac-item
2023-08-03 11:30:34	ga_s2bm_ard_3-2-1_51LXJ_2023-08-03_nrt.stac-item
2023-08-03 11:30:56	ga_s2bm_ard_3-2-1_51LZG_2023-08-03_nrt.stac-item
2023-08-03 11:31:11	ga_s2bm_ard_3-2-1_51LZF_2023-08-03_nrt.stac-item
2023-08-03 11:31:22	ga_s2bm_ard_3-2-1_51LWF_2023-08-03_nrt.stac-item
2023-08-03 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-08-03_nrt.stac-item
2023-08-03 11:37:37	ga_s2bm_ard_3-2-1_50HNF_2023-08-03_nrt.stac-item
2023-08-04 09:27:03	ga_s2bm_ard_3-2-1_56HKE_2023-08-03_nrt.stac-item
2023-08-04 09:27:18	ga_s2bm_ard_3-2-1_56HKD_2023-08-03_nrt.stac-item
2023-08-04 09:27:44	ga_s2bm_ard_3-2-1_56HLB_2023-08-03_nrt.stac-item
2023-08-04 09:28:02	ga_s2bm_ard_3-2-1_56GKA_2023-08-03_nrt.stac-item
2023-08-04 09:28:31	ga_s2bm_ard_3-2-1_55GGP_2023-08-03_nrt.stac-item
2023-08-04 09:28:31	ga_s2bm_ard_3-2-1_56GKU_2023-08-03_nrt.stac-item
2023-08-04 09:28:45	ga_s2bm_ard_3-2-1_55GGN_2023-08-03_nrt.stac-item
2023-08-04 09:28:59	ga_s2bm_ard_3-2-1_55GGM_2023-08-03_nrt.stac-item
2023-08-04 09:29:01	ga_s2bm_ard_3-2-1_55GFM_2023-08-03_nrt.stac-item
2023-08-04 11:06:19	ga_s2bm_ard_3-2-1_52HEK_2023-08-04_nrt.stac-item
2023-08-04 11:06:32	ga_s2bm_ard_3-2-1_52HEJ_2023-08-04_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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