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
2023-02-11 09:43:39	ga_s2bm_ard_3-2-1_55JHN_2023-02-11_final.stac-item
2023-02-11 09:46:37	ga_s2bm_ard_3-2-1_55HEA_2023-02-11_final.stac-item
2023-02-11 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2023-02-11_final.stac-item
2023-02-12 10:52:43	ga_s2bm_ard_3-2-1_53KKU_2023-02-12_final.stac-item
2023-02-13 10:20:19	ga_s2bm_ard_3-2-1_54LZM_2023-02-13_final.stac-item
2023-02-13 10:24:00	ga_s2bm_ard_3-2-1_54JUT_2023-02-13_final.stac-item
2023-02-13 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2023-02-13_final.stac-item
2023-02-13 12:03:31	ga_s2bm_ard_3-2-1_50KLB_2023-02-13_final.stac-item
2023-02-13 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2023-02-13_final.stac-item
2023-02-14 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2023-02-14_final.stac-item
2023-02-15 09:24:26	ga_s2bm_ard_3-2-1_56JMQ_2023-02-14_final.stac-item
2023-02-16 10:31:44	ga_s2bm_ard_3-2-1_54KUG_2023-02-16_final.stac-item
2023-02-16 10:32:31	ga_s2bm_ard_3-2-1_54KTD_2023-02-16_final.stac-item
2023-02-16 10:33:00	ga_s2bm_ard_3-2-1_53KRS_2023-02-16_final.stac-item
2023-02-16 10:33:11	ga_s2bm_ard_3-2-1_54KUA_2023-02-16_final.stac-item
2023-02-16 12:14:07	ga_s2bm_ard_3-2-1_50KKV_2023-02-16_final.stac-item
2023-02-17 10:02:43	ga_s2bm_ard_3-2-1_55KES_2023-02-17_final.stac-item
2023-02-17 10:06:47	ga_s2bm_ard_3-2-1_54HYF_2023-02-17_final.stac-item
2023-02-19 10:45:36	ga_s2bm_ard_3-2-1_53JMG_2023-02-19_final.stac-item
2023-02-19 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2023-02-19_final.stac-item
2023-02-20 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-02-20_final.stac-item
2023-02-20 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2023-02-20_final.stac-item
2023-02-20 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-02-20_final.stac-item
2023-02-21 09:43:47	ga_s2bm_ard_3-2-1_55JFN_2023-02-21_final.stac-item
2023-02-21 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2023-02-21_final.stac-item
2023-02-21 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-02-21_final.stac-item
2023-02-23 10:19:56	ga_s2bm_ard_3-2-1_54LYP_2023-02-23_final.stac-item
2023-02-23 10:20:06	ga_s2bm_ard_3-2-1_54LZN_2023-02-23_final.stac-item
2023-02-23 10:20:10	ga_s2bm_ard_3-2-1_54LYN_2023-02-23_final.stac-item
2023-02-23 10:20:21	ga_s2bm_ard_3-2-1_54LZM_2023-02-23_final.stac-item
2023-02-23 10:20:25	ga_s2bm_ard_3-2-1_54LYM_2023-02-23_final.stac-item
2023-02-23 10:20:28	ga_s2bm_ard_3-2-1_54LXM_2023-02-23_final.stac-item
2023-02-23 10:20:42	ga_s2bm_ard_3-2-1_54LXL_2023-02-23_final.stac-item
2023-02-23 10:20:45	ga_s2bm_ard_3-2-1_54LWL_2023-02-23_final.stac-item
2023-02-23 10:20:57	ga_s2bm_ard_3-2-1_54LXK_2023-02-23_final.stac-item
2023-02-23 10:21:00	ga_s2bm_ard_3-2-1_54LWK_2023-02-23_final.stac-item
2023-02-23 10:21:44	ga_s2bm_ard_3-2-1_54KWG_2023-02-23_final.stac-item
2023-02-23 10:21:55	ga_s2bm_ard_3-2-1_54KXF_2023-02-23_final.stac-item
2023-02-23 10:21:58	ga_s2bm_ard_3-2-1_54KWF_2023-02-23_final.stac-item
2023-02-23 10:22:02	ga_s2bm_ard_3-2-1_54KVF_2023-02-23_final.stac-item
2023-02-23 10:22:04	ga_s2bm_ard_3-2-1_54KYE_2023-02-23_final.stac-item
2023-02-23 10:22:09	ga_s2bm_ard_3-2-1_54KXE_2023-02-23_final.stac-item
2023-02-23 10:22:13	ga_s2bm_ard_3-2-1_54KWE_2023-02-23_final.stac-item
2023-02-23 10:22:16	ga_s2bm_ard_3-2-1_54KVE_2023-02-23_final.stac-item
2023-02-23 10:23:18	ga_s2bm_ard_3-2-1_54KUA_2023-02-23_final.stac-item
2023-02-23 10:23:37	ga_s2bm_ard_3-2-1_54KTV_2023-02-23_final.stac-item
2023-02-23 10:23:47	ga_s2bm_ard_3-2-1_54KUU_2023-02-23_final.stac-item
2023-02-23 10:24:01	ga_s2bm_ard_3-2-1_54JUT_2023-02-23_final.stac-item
2023-02-23 10:24:04	ga_s2bm_ard_3-2-1_54JTT_2023-02-23_final.stac-item
2023-02-23 10:24:08	ga_s2bm_ard_3-2-1_54JWS_2023-02-23_final.stac-item
2023-02-23 10:24:16	ga_s2bm_ard_3-2-1_54JUS_2023-02-23_final.stac-item
2023-02-23 10:24:18	ga_s2bm_ard_3-2-1_53JRM_2023-02-23_final.stac-item
2023-02-23 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2023-02-23_final.stac-item
2023-02-23 10:24:22	ga_s2bm_ard_3-2-1_54JVR_2023-02-23_final.stac-item
2023-02-23 10:24:24	ga_s2bm_ard_3-2-1_54JUS_2023-02-23_final.stac-item
2023-02-23 10:24:24	ga_s2bm_ard_3-2-1_54JUR_2023-02-23_final.stac-item
2023-02-23 10:24:25	ga_s2bm_ard_3-2-1_54JWR_2023-02-23_final.stac-item
2023-02-23 10:24:25	ga_s2bm_ard_3-2-1_53JRM_2023-02-23_final.stac-item
2023-02-23 10:24:31	ga_s2bm_ard_3-2-1_54JUR_2023-02-23_final.stac-item
2023-02-23 10:24:41	ga_s2bm_ard_3-2-1_54JVQ_2023-02-23_final.stac-item
2023-02-23 10:25:17	ga_s2bm_ard_3-2-1_54JTN_2023-02-23_final.stac-item
2023-02-23 10:25:32	ga_s2bm_ard_3-2-1_54JTM_2023-02-23_final.stac-item
2023-02-23 10:25:43	ga_s2bm_ard_3-2-1_54JUL_2023-02-23_final.stac-item
2023-02-23 10:25:46	ga_s2bm_ard_3-2-1_54JTL_2023-02-23_final.stac-item
2023-02-23 10:26:12	ga_s2bm_ard_3-2-1_54HUJ_2023-02-23_final.stac-item
2023-02-23 10:26:27	ga_s2bm_ard_3-2-1_54HUH_2023-02-23_final.stac-item
2023-02-23 10:26:45	ga_s2bm_ard_3-2-1_54HTG_2023-02-23_final.stac-item
2023-02-23 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2023-02-23_final.stac-item
2023-02-23 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2023-02-23_final.stac-item
2023-02-23 10:26:59	ga_s2bm_ard_3-2-1_54HTF_2023-02-23_final.stac-item
2023-02-23 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2023-02-23_final.stac-item
2023-02-23 12:03:33	ga_s2bm_ard_3-2-1_50KNB_2023-02-23_final.stac-item
2023-02-23 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-02-23_final.stac-item
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2023-02-23_final.stac-item
2023-02-23 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2023-02-23_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2023-02-23_final.stac-item
2023-02-23 12:04:13	ga_s2bm_ard_3-2-1_50KKV_2023-02-23_final.stac-item
2023-02-23 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2023-02-23_final.stac-item
2023-02-23 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2023-02-23_final.stac-item
2023-02-23 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2023-02-23_final.stac-item
2023-02-23 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2023-02-23_final.stac-item
2023-02-23 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-23_final.stac-item
2023-02-23 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2023-02-23_final.stac-item
2023-02-23 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2023-02-23_final.stac-item
2023-02-23 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-02-23_final.stac-item
2023-02-23 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-02-23_final.stac-item
2023-02-23 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2023-02-23_final.stac-item
2023-02-23 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2023-02-23_final.stac-item
2023-02-23 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2023-02-23_final.stac-item
2023-02-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-02-23_final.stac-item
2023-02-23 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2023-02-23_final.stac-item
2023-02-23 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2023-02-23_final.stac-item
2023-02-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-02-23_final.stac-item
2023-02-23 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-02-23_final.stac-item
2023-02-23 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2023-02-23_final.stac-item
2023-02-23 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-02-23_final.stac-item
2023-02-23 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2023-02-23_final.stac-item
2023-03-14 10:50:16	ga_s2bm_ard_3-2-1_53LMJ_2023-03-14_nrt.stac-item
2023-03-14 10:50:20	ga_s2bm_ard_3-2-1_53LQH_2023-03-14_nrt.stac-item
2023-03-14 10:56:22	ga_s2bm_ard_3-2-1_52HEK_2023-03-14_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

Other products

All years