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
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFL_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFM_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFN_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFP_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFQ_2018-08-07_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFS_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFT_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFA_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFB_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFC_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFD_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFE_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFF_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFU_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFV_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFN_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFP_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFQ_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFR_2018-08-10_final.stac-item
2018-08-13 11:07:07	ga_s2bm_ard_3-2-1_52LFJ_2018-08-13_final.stac-item
2018-08-13 11:07:07	ga_s2bm_ard_3-2-1_52LFK_2018-08-13_final.stac-item
2018-08-13 11:07:07	ga_s2bm_ard_3-2-1_52LFL_2018-08-13_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KFE_2018-08-13_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KFF_2018-08-13_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KFG_2018-08-13_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52LFH_2018-08-13_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52LFJ_2018-08-13_final.stac-item
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JFL_2018-08-17_final.stac-item
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JFM_2018-08-17_final.stac-item
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JFN_2018-08-17_final.stac-item
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JFP_2018-08-17_final.stac-item
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JFQ_2018-08-17_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JFQ_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JFR_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JFS_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JFT_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFA_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFB_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFC_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFD_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFE_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFF_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFU_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFV_2018-08-20_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JFN_2018-08-20_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JFP_2018-08-20_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JFQ_2018-08-20_final.stac-item
2018-12-08 11:04:31	ga_s2bm_ard_3-2-1_52JFS_2018-12-08_final.stac-item
2018-12-08 11:04:38	ga_s2bm_ard_3-2-1_52JFR_2018-12-08_final.stac-item
2018-12-08 11:04:52	ga_s2bm_ard_3-2-1_52JFQ_2018-12-08_final.stac-item
2018-12-08 11:05:07	ga_s2bm_ard_3-2-1_52JFP_2018-12-08_final.stac-item
2018-12-08 11:05:21	ga_s2bm_ard_3-2-1_52JFN_2018-12-08_final.stac-item
2019-01-04 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2019-01-04_final.stac-item
2019-01-04 10:55:58	ga_s2bm_ard_3-2-1_52JFL_2019-01-04_final.stac-item
2019-06-19 11:11:09	ga_s2bm_ard_3-2-1_52LFL_2019-06-19_final.stac-item
2019-06-19 11:11:24	ga_s2bm_ard_3-2-1_52LFK_2019-06-19_final.stac-item
2019-06-19 11:11:38	ga_s2bm_ard_3-2-1_52LFJ_2019-06-19_final.stac-item
2019-06-19 11:11:52	ga_s2bm_ard_3-2-1_52LFH_2019-06-19_final.stac-item
2019-06-19 11:12:07	ga_s2bm_ard_3-2-1_52KFG_2019-06-19_final.stac-item
2019-06-19 11:12:21	ga_s2bm_ard_3-2-1_52KFF_2019-06-19_final.stac-item
2019-06-19 11:12:36	ga_s2bm_ard_3-2-1_52KFE_2019-06-19_final.stac-item
2021-12-22 11:04:50	ga_s2bm_ard_3-2-1_52JFQ_2021-12-22_final.stac-item
2021-12-22 11:04:57	ga_s2bm_ard_3-2-1_52JFQ_2021-12-22_final.stac-item
2021-12-22 11:05:07	ga_s2bm_ard_3-2-1_52JFP_2021-12-22_final.stac-item
2021-12-22 11:05:21	ga_s2bm_ard_3-2-1_52JFN_2021-12-22_final.stac-item
2021-12-25 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2021-12-25_final
2021-12-25 11:10:42	ga_s2bm_ard_3-2-1_52LFM_2021-12-25_final
2021-12-25 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2021-12-25_final.stac-item
2021-12-25 11:11:11	ga_s2bm_ard_3-2-1_52LFK_2021-12-25_final.stac-item
2021-12-25 11:11:26	ga_s2bm_ard_3-2-1_52LFJ_2021-12-25_final.stac-item
2021-12-25 11:11:33	ga_s2bm_ard_3-2-1_52LFJ_2021-12-25_final.stac-item
2021-12-25 11:11:33	ga_s2bm_ard_3-2-1_52LFH_2021-12-25_final.stac-item
2021-12-25 11:11:40	ga_s2bm_ard_3-2-1_52LFH_2021-12-25_final.stac-item
2021-12-25 11:11:54	ga_s2bm_ard_3-2-1_52KFG_2021-12-25_final.stac-item
2021-12-25 11:12:09	ga_s2bm_ard_3-2-1_52KFF_2021-12-25_final.stac-item
2021-12-25 11:12:24	ga_s2bm_ard_3-2-1_52KFE_2021-12-25_final.stac-item
2021-12-29 10:54:43	ga_s2bm_ard_3-2-1_52JFR_2021-12-29_final.stac-item
2021-12-29 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2021-12-29_final.stac-item
2021-12-29 10:55:12	ga_s2bm_ard_3-2-1_52JFP_2021-12-29_final.stac-item
2021-12-29 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2021-12-29_final.stac-item
2021-12-29 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2021-12-29_final.stac-item
2021-12-29 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2021-12-29_final.stac-item
2021-12-29 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2021-12-29_final.stac-item
2022-01-04 11:11:12	ga_s2bm_ard_3-2-1_52LFK_2022-01-04_final.stac-item
2022-01-04 11:11:21	ga_s2bm_ard_3-2-1_52LFJ_2022-01-04_final.stac-item
2022-01-04 11:11:28	ga_s2bm_ard_3-2-1_52LFJ_2022-01-04_final.stac-item
2022-01-04 11:11:41	ga_s2bm_ard_3-2-1_52LFH_2022-01-04_final.stac-item
2022-01-04 11:11:55	ga_s2bm_ard_3-2-1_52KFG_2022-01-04_final.stac-item
2022-01-04 11:12:10	ga_s2bm_ard_3-2-1_52KFF_2022-01-04_final.stac-item
2022-01-04 11:12:24	ga_s2bm_ard_3-2-1_52KFE_2022-01-04_final.stac-item
2022-01-08 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2022-01-08_final.stac-item
2022-01-08 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2022-01-08_final.stac-item
2022-01-08 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2022-01-08_final.stac-item
2022-01-11 11:02:14	ga_s2bm_ard_3-2-1_52KFF_2022-01-11_final.stac-item
2022-01-11 11:02:29	ga_s2bm_ard_3-2-1_52KFE_2022-01-11_final.stac-item
2022-01-11 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2022-01-11_final.stac-item
2022-03-12 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2022-03-12_final.stac-item
2022-03-12 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2022-03-12_final.stac-item
2022-03-22 11:04:55	ga_s2bm_ard_3-2-1_52JFQ_2022-03-22_final.stac-item
2022-03-22 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2022-03-22_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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