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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXQ_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXR_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXT_2017-11-12_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51LUE_2017-11-15_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KZB_2018-01-08_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQK_2018-04-01_final.stac-item
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51LUF_2018-05-04_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXS_2018-06-10_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWT_2018-07-30_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HTD_2018-08-09_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVB_2018-09-21_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JCL_2018-09-22_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-09-30_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-10-10_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KWB_2018-10-11_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KYU_2018-10-18_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXS_2018-10-28_final.stac-item
2018-11-07 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2018-11-07_final.stac-item
2018-11-10 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2018-11-10_final.stac-item
2018-11-14 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2018-11-14_final.stac-item
2018-11-14 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2018-11-14_final.stac-item
2018-11-14 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2018-11-14_final.stac-item
2018-11-14 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2018-11-14_final.stac-item
2018-11-14 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2018-11-14_final.stac-item
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final.stac-item
2018-12-07 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2018-12-07_final.stac-item
2018-12-07 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2018-12-07_final.stac-item
2018-12-10 11:43:52	ga_s2bm_ard_3-2-1_51KUQ_2018-12-10_final.stac-item
2018-12-14 11:23:58	ga_s2bm_ard_3-2-1_51KZP_2018-12-14_final.stac-item
2018-12-14 11:24:12	ga_s2bm_ard_3-2-1_51JZN_2018-12-14_final.stac-item
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final.stac-item
2019-01-23 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-01-23_final.stac-item
2019-02-15 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2019-02-15_final.stac-item
2019-04-26 11:33:30	ga_s2bm_ard_3-2-1_51KXS_2019-04-26_final.stac-item
2019-09-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-09-13_final.stac-item
2019-10-03 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2019-10-03_final.stac-item
2019-10-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-13_final.stac-item
2019-10-20 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2019-10-20_final.stac-item
2019-10-30 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-10-30_final.stac-item
2019-11-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-11-05_final.stac-item
2019-11-09 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2019-11-09_final.stac-item
2019-11-12 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2019-11-12_final.stac-item
2019-11-12 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-11-12_final.stac-item
2019-11-12 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2019-11-12_final.stac-item
2019-11-15 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-11-15_final.stac-item
2019-11-19 11:23:13	ga_s2bm_ard_3-2-1_51KZS_2019-11-19_final.stac-item
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final.stac-item
2019-12-02 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2019-12-02_final.stac-item
2019-12-11 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2019-12-11_final.stac-item
2020-01-20 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2020-01-20_final.stac-item
2020-01-27 11:52:30	ga_s2bm_ard_3-2-1_50KPF_2020-01-27_final
2020-02-27 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-02-27_final.stac-item
2020-03-08 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2020-03-08_final.stac-item
2020-03-21 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-21_final.stac-item
2020-05-07 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-05-07_final.stac-item
2020-07-22 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2020-07-22_final
2020-08-05 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-08-05_final.stac-item
2020-08-28 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-08-28_final.stac-item
2020-09-04 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2020-09-04_final.stac-item
2020-09-17 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2020-09-17_final.stac-item
2020-09-27 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-09-27_final.stac-item
2020-12-03 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2020-12-03_final.stac-item
2021-01-15 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-01-15_final.stac-item
2021-02-04 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-02-04_final.stac-item
2021-06-03 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-06-03_final.stac-item
2021-07-04 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2021-07-04_final.stac-item
2021-07-24 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2021-07-24_final.stac-item
2021-09-18 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-18_final.stac-item
2021-10-19 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2021-10-19_final.stac-item
2021-10-22 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2021-10-22_final.stac-item
2021-12-01 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2021-12-01_final.stac-item
2021-12-21 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-12-21_final.stac-item
2022-01-07 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2022-01-07_final.stac-item
2022-01-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-13_final.stac-item
2022-01-30 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2022-01-30_final.stac-item
2022-02-02 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-02_final.stac-item
2022-04-30 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2022-04-30_final.stac-item
2022-04-30 11:32:56	ga_s2bm_ard_3-2-1_51KYT_2022-04-30_final.stac-item
2022-05-20 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-05-20_final.stac-item
2022-06-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-06-15_final.stac-item
2022-07-12 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2022-07-12_final
2022-07-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-07-15_final.stac-item
2022-11-03 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-11-03_final.stac-item
2022-11-13 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-11-13_final.stac-item
2022-11-20 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2022-11-20_final.stac-item
2022-11-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-11-29_final.stac-item
2023-02-03 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-02-03_final.stac-item
2023-05-05 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2023-05-05_final
2023-08-23 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-23_final
2023-08-30 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2023-08-30_final
2023-10-22 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2023-10-22_final
2023-12-01 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2023-12-01_final
2023-12-04 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-12-04_final
2023-12-08 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2023-12-08_final
2023-12-11 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2023-12-11_final
2024-01-20 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2024-01-20_final
2024-01-20 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2024-01-20_final
2024-01-27 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2024-01-27_final
2024-02-06 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-02-06_final
2024-02-25 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2024-02-25_final

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

All years