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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51JUN_2017-11-05_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUT_2017-11-22_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVQ_2017-12-02_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLN_2017-12-11_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JPT_2017-12-18_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVT_2018-01-24_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KUQ_2018-02-10_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVT_2018-03-02_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWB_2018-04-01_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KUT_2018-06-10_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPK_2018-09-18_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KNC_2018-09-24_final.stac-item
2018-11-09 12:14:16	ga_s2bm_ard_3-2-1_50KKU_2018-11-09_final.stac-item
2018-11-20 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2018-11-20_final.stac-item
2018-11-20 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2018-11-20_final.stac-item
2018-11-23 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2018-11-23_final.stac-item
2018-11-24 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2018-11-24_final.stac-item
2018-11-24 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2018-11-24_final.stac-item
2018-11-30 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2018-11-30_final.stac-item
2018-12-03 11:52:54	ga_s2bm_ard_3-2-1_50KRD_2018-12-03_final.stac-item
2018-12-07 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-07_final.stac-item
2018-12-10 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2018-12-10_final.stac-item
2018-12-17 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2018-12-17_final.stac-item
2018-12-19 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-19_final.stac-item
2018-12-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-12-27_final.stac-item
2019-01-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-01-09_final.stac-item
2019-01-16 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2019-01-16_final.stac-item
2019-01-19 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2019-01-19_final.stac-item
2019-04-19 11:42:52	ga_s2bm_ard_3-2-1_51KUV_2019-04-19_final.stac-item
2019-05-10 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-05-10_final.stac-item
2019-05-19 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-05-19_final.stac-item
2019-11-22 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2019-11-22_final.stac-item
2019-11-25 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2019-11-25_final.stac-item
2019-12-12 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-12_final.stac-item
2019-12-25 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2019-12-25_final.stac-item
2020-01-01 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2020-01-01_final.stac-item
2020-01-04 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-01-04_final.stac-item
2020-01-11 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-01-11_final.stac-item
2020-01-14 11:43:45	ga_s2bm_ard_3-2-1_51KUQ_2020-01-14_final.stac-item
2020-01-21 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2020-01-21_final.stac-item
2020-01-24 11:43:51	ga_s2bm_ard_3-2-1_51KUQ_2020-01-24_final.stac-item
2020-02-03 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2020-02-03_final.stac-item
2020-02-10 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-02-10_final.stac-item
2020-02-23 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2020-02-23_final.stac-item
2020-04-23 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2020-04-23_final.stac-item
2020-06-22 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2020-06-22_final.stac-item
2020-09-30 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-09-30_final
2020-10-10 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-10_final.stac-item
2020-10-20 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-20_final.stac-item
2020-11-06 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2020-11-06_final.stac-item
2020-11-09 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2020-11-09_final.stac-item
2020-11-10 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2020-11-10_final.stac-item
2020-11-10 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2020-11-10_final.stac-item
2020-11-16 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2020-11-16_final.stac-item
2020-11-19 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2020-11-19_final.stac-item
2020-11-19 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2020-11-19_final.stac-item
2020-11-29 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2020-11-29_final.stac-item
2020-12-16 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-12-16_final.stac-item
2020-12-29 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-12-29_final.stac-item
2021-01-12 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2021-01-12_final.stac-item
2021-01-15 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-01-15_final.stac-item
2021-01-28 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-01-28_final.stac-item
2021-03-09 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-03-09_final.stac-item
2021-04-22 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2021-04-22_final.stac-item
2021-05-18 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-05-18_final.stac-item
2021-06-01 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-06-01_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final.stac-item
2021-11-24 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2021-11-24_final.stac-item
2021-12-07 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2021-12-07_final.stac-item
2021-12-07 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-12-07_final.stac-item
2021-12-11 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-12-11_final.stac-item
2021-12-21 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2021-12-21_final.stac-item
2021-12-21 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-12-21_final.stac-item
2021-12-31 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2021-12-31_final.stac-item
2022-01-07 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2022-01-07_final.stac-item
2022-01-13 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2022-01-13_final.stac-item
2022-01-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-13_final.stac-item
2022-02-05 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2022-02-05_final.stac-item
2022-02-12 11:43:26	ga_s2bm_ard_3-2-1_51KTS_2022-02-12_final.stac-item
2022-05-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-20_final.stac-item
2022-07-06 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-07-06_final.stac-item
2022-11-02 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2022-11-02_final.stac-item
2022-11-16 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2022-11-16_final.stac-item
2022-11-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-11-19_final.stac-item
2022-12-16 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2022-12-16_final.stac-item
2022-12-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-12-29_final.stac-item
2023-01-08 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2023-01-08_final.stac-item
2023-02-04 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-02-04_final.stac-item
2023-03-06 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-03-06_final
2023-03-09 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2023-03-09_final
2023-03-09 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2023-03-09_final
2023-04-15 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-04-15_final
2023-07-30 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2023-07-30_final
2023-09-15 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-09-15_final
2023-10-22 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-22_final
2023-12-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-12-04_final
2024-01-07 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2024-01-07_final
2024-01-13 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2024-01-13_final
2024-01-14 12:50:58	ga_s2bm_ard_3-2-1_48LWP_2024-01-14_final
2024-03-04 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2024-03-04_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

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