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
2023-01-12 11:24:40	ga_s2bm_ard_3-2-1_51JWM_2023-01-12_final.stac-item
2023-01-13 10:51:06	ga_s2bm_ard_3-2-1_53LME_2023-01-13_final.stac-item
2023-01-13 10:51:09	ga_s2bm_ard_3-2-1_53LLE_2023-01-13_final.stac-item
2023-01-13 10:51:24	ga_s2bm_ard_3-2-1_53LLD_2023-01-13_final.stac-item
2023-01-13 10:51:32	ga_s2bm_ard_3-2-1_53LNC_2023-01-13_final.stac-item
2023-01-13 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2023-01-13_final.stac-item
2023-01-13 10:52:10	ga_s2bm_ard_3-2-1_53KKA_2023-01-13_final.stac-item
2023-01-13 10:52:22	ga_s2bm_ard_3-2-1_53KLV_2023-01-13_final.stac-item
2023-01-13 10:52:33	ga_s2bm_ard_3-2-1_53KMU_2023-01-13_final.stac-item
2023-01-13 10:53:09	ga_s2bm_ard_3-2-1_53KKS_2023-01-13_final.stac-item
2023-01-13 10:53:31	ga_s2bm_ard_3-2-1_53KMQ_2023-01-13_final.stac-item
2023-01-13 10:54:10	ga_s2bm_ard_3-2-1_52JGT_2023-01-13_final.stac-item
2023-01-13 10:54:17	ga_s2bm_ard_3-2-1_52JGT_2023-01-13_final.stac-item
2023-01-13 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2023-01-13_final.stac-item
2023-01-13 10:55:05	ga_s2bm_ard_3-2-1_53JKJ_2023-01-13_final.stac-item
2023-01-13 10:55:37	ga_s2bm_ard_3-2-1_52JGM_2023-01-13_final.stac-item
2023-01-13 10:55:52	ga_s2bm_ard_3-2-1_52JGL_2023-01-13_final.stac-item
2023-01-13 10:55:59	ga_s2bm_ard_3-2-1_52JEL_2023-01-13_final.stac-item
2023-01-14 10:24:00	ga_s2bm_ard_3-2-1_53JRN_2023-01-14_final.stac-item
2023-01-14 10:24:15	ga_s2bm_ard_3-2-1_54JTS_2023-01-14_final.stac-item
2023-01-14 10:24:29	ga_s2bm_ard_3-2-1_54JTR_2023-01-14_final.stac-item
2023-01-14 10:24:47	ga_s2bm_ard_3-2-1_53JQK_2023-01-14_final.stac-item
2023-01-14 10:25:13	ga_s2bm_ard_3-2-1_54JTN_2023-01-14_final.stac-item
2023-01-14 10:25:28	ga_s2bm_ard_3-2-1_54JTM_2023-01-14_final.stac-item
2023-01-14 10:25:30	ga_s2bm_ard_3-2-1_53JQG_2023-01-14_final.stac-item
2023-01-14 10:25:42	ga_s2bm_ard_3-2-1_54JTL_2023-01-14_final.stac-item
2023-01-14 10:25:45	ga_s2bm_ard_3-2-1_53JQF_2023-01-14_final.stac-item
2023-01-14 10:26:36	ga_s2bm_ard_3-2-1_54HUG_2023-01-14_final.stac-item
2023-01-14 10:26:41	ga_s2bm_ard_3-2-1_54HTG_2023-01-14_final.stac-item
2023-01-14 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2023-01-14_final.stac-item
2023-01-14 10:26:50	ga_s2bm_ard_3-2-1_53HNB_2023-01-14_final.stac-item
2023-01-14 10:26:55	ga_s2bm_ard_3-2-1_54HTF_2023-01-14_final.stac-item
2023-01-14 10:26:57	ga_s2bm_ard_3-2-1_53HQA_2023-01-14_final.stac-item
2023-01-14 10:27:01	ga_s2bm_ard_3-2-1_53HPA_2023-01-14_final.stac-item
2023-01-14 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2023-01-14_final.stac-item
2023-01-14 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2023-01-14_final.stac-item
2023-01-14 12:03:33	ga_s2bm_ard_3-2-1_50KMB_2023-01-14_final.stac-item
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2023-01-14_final.stac-item
2023-01-14 12:03:48	ga_s2bm_ard_3-2-1_50KMA_2023-01-14_final.stac-item
2023-01-14 12:03:51	ga_s2bm_ard_3-2-1_50KLA_2023-01-14_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2023-01-14_final.stac-item
2023-01-14 12:04:02	ga_s2bm_ard_3-2-1_50KMV_2023-01-14_final.stac-item
2023-01-14 12:04:06	ga_s2bm_ard_3-2-1_50KLV_2023-01-14_final.stac-item
2023-01-14 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2023-01-14_final.stac-item
2023-01-14 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2023-01-14_final.stac-item
2023-01-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-01-14_final.stac-item
2023-01-14 12:04:17	ga_s2bm_ard_3-2-1_50KMU_2023-01-14_final.stac-item
2023-01-14 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2023-01-14_final.stac-item
2023-01-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2023-01-14_final.stac-item
2023-01-14 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2023-01-14_final.stac-item
2023-01-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-01-14_final.stac-item
2023-01-14 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2023-01-14_final.stac-item
2023-01-14 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2023-01-14_final.stac-item
2023-01-14 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2023-01-14_final.stac-item
2023-01-14 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2023-01-14_final.stac-item
2023-01-14 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2023-01-14_final.stac-item
2023-01-14 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2023-01-14_final.stac-item
2023-01-14 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2023-01-14_final.stac-item
2023-01-14 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2023-01-14_final.stac-item
2023-01-14 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2023-01-14_final.stac-item
2023-01-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-01-14_final.stac-item
2023-01-14 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2023-01-14_final.stac-item
2023-01-14 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-01-14_final.stac-item
2023-01-14 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2023-01-14_final.stac-item
2023-01-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2023-01-14_final.stac-item
2023-01-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-01-14_final.stac-item
2023-01-14 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2023-01-14_final.stac-item
2023-01-14 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-01-14_final.stac-item
2023-01-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-01-14_final.stac-item
2023-01-14 12:06:10	ga_s2bm_ard_3-2-1_50JLL_2023-01-14_final.stac-item
2023-01-15 09:56:54	ga_s2bm_ard_3-2-1_54HXF_2023-01-15_final.stac-item
2023-01-15 09:57:42	ga_s2bm_ard_3-2-1_54HWC_2023-01-15_final.stac-item
2023-01-15 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2023-01-15_final.stac-item
2023-01-15 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2023-01-15_final.stac-item
2023-01-15 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2023-01-15_final.stac-item
2023-01-15 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-01-15_final.stac-item
2023-01-15 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-01-15_final.stac-item
2023-01-15 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2023-01-15_final.stac-item
2023-01-15 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2023-01-15_final.stac-item
2023-01-15 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-01-15_final.stac-item
2023-01-15 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-01-15_final.stac-item
2023-01-15 11:34:28	ga_s2bm_ard_3-2-1_51JUN_2023-01-15_final.stac-item
2023-01-15 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2023-01-15_final.stac-item
2023-01-15 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2023-01-15_final.stac-item
2023-01-15 11:34:46	ga_s2bm_ard_3-2-1_51JTM_2023-01-15_final.stac-item
2023-01-15 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2023-01-15_final.stac-item
2023-01-15 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2023-01-15_final.stac-item
2023-01-15 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2023-01-15_final.stac-item
2023-01-15 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2023-01-15_final.stac-item
2023-01-15 11:35:33	ga_s2bm_ard_3-2-1_50JQP_2023-01-15_final.stac-item
2023-01-15 11:35:47	ga_s2bm_ard_3-2-1_50JQN_2023-01-15_final.stac-item
2023-01-15 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2023-01-15_final.stac-item
2023-01-15 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2023-01-15_final.stac-item
2023-01-15 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2023-01-15_final.stac-item
2023-01-15 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2023-01-15_final.stac-item
2023-01-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-01-15_final.stac-item
2023-01-25 11:31:03	ga_s2bm_ard_3-2-1_52LBL_2023-01-25_nrt.stac-item
2023-01-25 11:31:15	ga_s2bm_ard_3-2-1_51LWF_2023-01-25_nrt.stac-item
2023-01-25 11:37:26	ga_s2bm_ard_3-2-1_51HTA_2023-01-25_nrt.stac-item
2023-01-26 11:00:14	ga_s2bm_ard_3-2-1_52LHP_2023-01-26_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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