Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JKF_2018-04-26_final.stac-item
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JKG_2018-04-26_final.stac-item
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_52JGL_2018-04-26_final.stac-item
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_52JGM_2018-04-26_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JKF_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JKG_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_52JGL_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_52JGM_2018-05-06_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JKF_2018-07-15_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JKG_2018-07-15_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_52JGL_2018-07-15_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_52JGM_2018-07-15_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52KHG_2018-07-21_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LHH_2018-07-21_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LHJ_2018-07-21_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LHK_2018-07-21_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LHL_2018-07-21_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LHM_2018-07-21_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LHN_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_53KKR_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHA_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHB_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHC_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHD_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHE_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHF_2018-07-21_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHG_2018-07-21_final.stac-item
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52LHN_2018-07-24_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JKF_2018-07-25_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JKG_2018-07-25_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_52JGL_2018-07-25_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_52JGM_2018-07-25_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53JKF_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53JKG_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53JKH_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53JKJ_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53JKK_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53JKL_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGL_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGM_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGN_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGP_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGQ_2018-07-28_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGR_2018-07-28_final.stac-item
2018-07-28 10:55:43	ga_s2bm_ard_3-2-1_53JKF_2018-07-28_final.stac-item
2018-07-28 10:55:43	ga_s2bm_ard_3-2-1_52JGL_2018-07-28_final.stac-item
2018-08-03 11:07:09	ga_s2bm_ard_3-2-1_52LHN_2018-08-03_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53JKF_2018-08-04_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53JKG_2018-08-04_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_52JGL_2018-08-04_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_52JGM_2018-08-04_final.stac-item
2019-10-07 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2019-10-07_final.stac-item
2020-04-08 10:52:56	ga_s2bm_ard_3-2-1_52KHC_2020-04-08_final.stac-item
2020-04-08 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2020-04-08_final.stac-item
2020-04-08 10:53:25	ga_s2bm_ard_3-2-1_53KKR_2020-04-08_final.stac-item
2020-04-08 10:54:08	ga_s2bm_ard_3-2-1_53JKN_2020-04-08_final.stac-item
2020-04-08 10:54:23	ga_s2bm_ard_3-2-1_52JHS_2020-04-08_final.stac-item
2020-04-08 10:54:23	ga_s2bm_ard_3-2-1_53JKM_2020-04-08_final.stac-item
2020-04-08 10:54:26	ga_s2bm_ard_3-2-1_52JGS_2020-04-08_final.stac-item
2020-04-08 10:54:38	ga_s2bm_ard_3-2-1_53JKL_2020-04-08_final.stac-item
2020-04-08 10:54:41	ga_s2bm_ard_3-2-1_52JGR_2020-04-08_final.stac-item
2020-04-08 10:54:52	ga_s2bm_ard_3-2-1_53JKK_2020-04-08_final.stac-item
2020-04-08 10:54:55	ga_s2bm_ard_3-2-1_52JGQ_2020-04-08_final.stac-item
2020-04-08 10:55:07	ga_s2bm_ard_3-2-1_53JKJ_2020-04-08_final.stac-item
2020-04-08 10:55:10	ga_s2bm_ard_3-2-1_52JGP_2020-04-08_final.stac-item
2020-04-08 10:55:21	ga_s2bm_ard_3-2-1_53JKH_2020-04-08_final.stac-item
2020-04-08 10:55:24	ga_s2bm_ard_3-2-1_52JGN_2020-04-08_final.stac-item
2020-04-08 10:55:36	ga_s2bm_ard_3-2-1_53JKG_2020-04-08_final.stac-item
2020-04-08 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2020-04-08_final.stac-item
2020-04-08 10:55:51	ga_s2bm_ard_3-2-1_53JKF_2020-04-08_final.stac-item
2020-04-08 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2020-04-08_final.stac-item
2020-04-11 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2020-04-11_final.stac-item
2020-04-11 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2020-04-11_final.stac-item
2020-04-11 11:00:51	ga_s2bm_ard_3-2-1_52LHL_2020-04-11_final.stac-item
2020-04-11 11:00:58	ga_s2bm_ard_3-2-1_52LHL_2020-04-11_final.stac-item
2020-04-11 11:01:10	ga_s2bm_ard_3-2-1_52LHK_2020-04-11_final.stac-item
2020-04-11 11:01:24	ga_s2bm_ard_3-2-1_52LHJ_2020-04-11_final.stac-item
2020-04-11 11:01:39	ga_s2bm_ard_3-2-1_52LHH_2020-04-11_final.stac-item
2020-04-11 11:01:53	ga_s2bm_ard_3-2-1_52KHG_2020-04-11_final.stac-item
2020-04-11 11:02:08	ga_s2bm_ard_3-2-1_52KHF_2020-04-11_final.stac-item
2020-04-11 11:02:22	ga_s2bm_ard_3-2-1_52KHE_2020-04-11_final.stac-item
2020-04-11 11:02:36	ga_s2bm_ard_3-2-1_52KHD_2020-04-11_final.stac-item
2020-04-11 11:02:51	ga_s2bm_ard_3-2-1_52KHC_2020-04-11_final.stac-item
2020-04-11 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2020-04-11_final.stac-item
2020-04-11 11:03:16	ga_s2bm_ard_3-2-1_53KKR_2020-04-11_final.stac-item
2020-04-11 11:03:19	ga_s2bm_ard_3-2-1_52KHA_2020-04-11_final.stac-item
2020-06-20 11:00:33	ga_s2bm_ard_3-2-1_52LHN_2020-06-20_final.stac-item
2020-06-20 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2020-06-20_final.stac-item
2020-06-20 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2020-06-20_final.stac-item
2020-06-20 11:01:04	ga_s2bm_ard_3-2-1_52LHL_2020-06-20_final.stac-item
2020-06-20 11:01:16	ga_s2bm_ard_3-2-1_52LHK_2020-06-20_final.stac-item
2020-06-20 11:01:31	ga_s2bm_ard_3-2-1_52LHJ_2020-06-20_final.stac-item
2020-06-20 11:01:45	ga_s2bm_ard_3-2-1_52LHH_2020-06-20_final.stac-item
2020-06-20 11:02:00	ga_s2bm_ard_3-2-1_52KHG_2020-06-20_final.stac-item
2020-06-20 11:02:14	ga_s2bm_ard_3-2-1_52KHF_2020-06-20_final.stac-item
2020-06-20 11:02:28	ga_s2bm_ard_3-2-1_52KHE_2020-06-20_final.stac-item
2020-06-20 11:02:43	ga_s2bm_ard_3-2-1_52KHD_2020-06-20_final.stac-item
2020-06-20 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2020-06-20_final.stac-item
2020-06-20 11:03:12	ga_s2bm_ard_3-2-1_52KHB_2020-06-20_final.stac-item
2020-06-20 11:03:21	ga_s2bm_ard_3-2-1_53KKR_2020-06-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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