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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNK_2017-07-18_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUD_2017-08-21_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50KRD_2017-10-06_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KUU_2017-10-26_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUC_2017-11-19_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KUQ_2018-02-20_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUT_2018-03-25_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVP_2018-05-31_final.stac-item
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KVB_2018-08-19_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPJ_2018-10-31_final.stac-item
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JVF_2018-11-04_final.stac-item
2018-11-20 11:43:12	ga_s2bm_ard_3-2-1_50KQC_2018-11-20_final.stac-item
2018-12-07 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-07_final.stac-item
2018-12-13 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2018-12-13_final.stac-item
2019-01-05 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2019-01-05_final.stac-item
2019-01-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-01-08_final.stac-item
2019-01-19 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-01-19_final.stac-item
2019-02-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-14_final.stac-item
2019-03-10 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2019-03-10_final.stac-item
2019-03-26 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-03-26_final.stac-item
2019-03-30 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2019-03-30_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-08 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-06-08_final.stac-item
2019-07-08 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-07-08_final.stac-item
2019-08-27 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2019-08-27_final.stac-item
2019-10-06 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-10-06_final.stac-item
2019-11-05 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-11-05_final.stac-item
2019-11-15 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-11-15_final.stac-item
2019-12-09 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2019-12-09_final.stac-item
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final.stac-item
2020-01-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-01-10_final.stac-item
2020-02-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-02-09_final.stac-item
2020-02-19 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2020-02-19_final.stac-item
2020-03-01 11:34:37	ga_s2bm_ard_3-2-1_51JWM_2020-03-01_final.stac-item
2020-03-18 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2020-03-18_final.stac-item
2020-04-06 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2020-04-06_final.stac-item
2020-04-14 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2020-04-14_final.stac-item
2020-10-10 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-10_final.stac-item
2020-10-20 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-10-20_final.stac-item
2020-10-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-10-26_final.stac-item
2021-01-18 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2021-01-18_final.stac-item
2021-01-25 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-01-25_final.stac-item
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final.stac-item
2021-03-06 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2021-03-06_final.stac-item
2021-04-04 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final.stac-item
2021-04-05 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2021-04-05_final.stac-item
2021-04-15 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-04-15_final.stac-item
2021-05-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-05-08_final.stac-item
2021-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-30_final.stac-item
2021-07-10 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-07-10_final
2021-08-13 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-08-13_final
2021-09-01 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2021-09-01_final.stac-item
2021-10-06 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2021-10-06_final.stac-item
2021-10-12 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-12_final.stac-item
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final.stac-item
2021-11-08 11:24:25	ga_s2bm_ard_3-2-1_51JZN_2021-11-08_final.stac-item
2021-11-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-11-14_final.stac-item
2021-11-24 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2021-11-24_final.stac-item
2021-12-04 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2021-12-04_final.stac-item
2021-12-20 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-20_final.stac-item
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final.stac-item
2022-01-13 11:43:49	ga_s2bm_ard_3-2-1_51KUQ_2022-01-13_final.stac-item
2022-01-17 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2022-01-17_final.stac-item
2022-01-29 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-01-29_final.stac-item
2022-03-21 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2022-03-21_final.stac-item
2022-03-27 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-03-27_final
2022-04-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-04-03_final.stac-item
2022-04-10 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2022-04-10_final.stac-item
2022-04-13 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2022-04-13_final.stac-item
2022-05-03 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2022-05-03_final.stac-item
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final.stac-item
2022-08-01 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2022-08-01_final.stac-item
2022-08-04 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-08-04_final.stac-item
2022-09-20 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2022-09-20_final.stac-item
2022-09-30 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-09-30_final.stac-item
2022-12-09 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2022-12-09_final.stac-item
2023-02-07 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2023-02-07_final
2023-02-17 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-02-17_final
2023-03-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-05_final
2023-04-02 11:24:54	ga_s2bm_ard_3-2-1_51JYL_2023-04-02_final
2023-04-05 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-04-05_final
2023-04-11 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-11_final
2023-06-27 11:45:34	ga_s2bm_ard_3-2-1_51JTJ_2023-06-27_final
2023-07-04 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2023-07-04_final
2023-07-04 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2023-07-04_final
2023-07-14 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-07-14_final
2023-09-12 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-09-12_final
2023-09-21 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-09-21_final
2023-10-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2023-10-05_final
2023-10-25 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2023-10-25_final
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-11-03_final
2023-12-14 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-12-14_final
2023-12-30 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2023-12-30_final
2024-01-13 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2024-01-13_final
2024-02-26 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2024-02-26_final
2024-03-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-03_final
2024-03-10 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2024-03-10_final
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-29_final
2024-05-02 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-05-02_final
2024-05-02 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-05-02_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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