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
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQG_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQH_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQJ_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQK_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQL_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQM_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQN_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQP_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQQ_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQR_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQS_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQT_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQU_2017-09-05_final.stac-item
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQV_2017-09-05_final.stac-item
2017-10-18 10:41:49	ga_s2bm_ard_3-2-1_53KQA_2017-10-18_final.stac-item
2017-10-18 10:41:49	ga_s2bm_ard_3-2-1_53KQU_2017-10-18_final.stac-item
2017-10-18 10:41:49	ga_s2bm_ard_3-2-1_53KQV_2017-10-18_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTF_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTG_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTH_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTJ_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTK_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HQA_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HQB_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HQC_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HQD_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HQE_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53JQF_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53JQG_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53JQH_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53JQJ_2017-10-22_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53JQK_2017-10-22_final.stac-item
2017-10-25 10:31:47	ga_s2bm_ard_3-2-1_53KQA_2017-10-25_final.stac-item
2017-10-25 10:31:47	ga_s2bm_ard_3-2-1_53KQU_2017-10-25_final.stac-item
2017-10-25 10:31:47	ga_s2bm_ard_3-2-1_53KQV_2017-10-25_final.stac-item
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KQB_2017-10-28_final
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KRB_2017-10-28_final
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53LQC_2017-10-28_final
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KQA_2017-10-28_final.stac-item
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KQU_2017-10-28_final.stac-item
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KQV_2017-10-28_final.stac-item
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53LQD_2017-10-28_final.stac-item
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54HTF_2017-10-29_final.stac-item
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_53HQA_2017-10-29_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54HTF_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54HTG_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54HTH_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54HTJ_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54HTK_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQA_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQC_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQD_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQE_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53JQF_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53JQG_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53JQH_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53JQJ_2017-11-01_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53JQK_2017-11-01_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54HTF_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_53HQA_2017-11-08_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQG_2017-11-14_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQH_2017-11-14_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQJ_2017-11-14_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQK_2017-11-14_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQL_2017-11-14_final.stac-item
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KQB_2018-02-15_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KRB_2018-02-15_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53LQC_2018-02-15_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KQA_2018-02-15_final.stac-item
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53KQB_2018-02-25_final
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53KRB_2018-02-25_final
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53LQC_2018-02-25_final
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53KQA_2018-02-25_final.stac-item
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53KQU_2018-02-25_final.stac-item
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53KQV_2018-02-25_final.stac-item
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53LQD_2018-02-25_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQG_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQH_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQJ_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQK_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQL_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQM_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQN_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQA_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQP_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQQ_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQR_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQS_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQT_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQU_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQV_2018-05-23_final.stac-item
2019-06-04 10:26:11	ga_s2bm_ard_3-2-1_53HQE_2019-06-04_final.stac-item
2019-06-04 10:26:24	ga_s2bm_ard_3-2-1_54HTJ_2019-06-04_final.stac-item
2019-06-04 10:26:26	ga_s2bm_ard_3-2-1_53HQD_2019-06-04_final.stac-item
2019-06-04 10:26:38	ga_s2bm_ard_3-2-1_54HTH_2019-06-04_final.stac-item
2019-06-04 10:26:40	ga_s2bm_ard_3-2-1_53HQC_2019-06-04_final.stac-item
2019-06-04 10:26:53	ga_s2bm_ard_3-2-1_54HTG_2019-06-04_final.stac-item
2019-06-04 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-06-04_final.stac-item
2019-06-04 10:27:07	ga_s2bm_ard_3-2-1_54HTF_2019-06-04_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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