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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KVB_2017-09-16_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JMN_2017-09-29_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JKM_2017-12-08_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNC_2018-01-17_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUS_2018-02-03_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HUE_2018-03-19_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNM_2018-04-24_final.stac-item
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KUV_2018-05-14_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVR_2018-05-21_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQJ_2018-06-30_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JPP_2018-07-06_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGJ_2018-07-19_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-23_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JTH_2018-08-29_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JKP_2018-09-24_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JXN_2018-10-08_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JXN_2018-10-18_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50JML_2018-10-21_final.stac-item
2018-11-30 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2018-11-30_final.stac-item
2018-12-07 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-07_final.stac-item
2018-12-23 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2018-12-23_final.stac-item
2018-12-24 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-12-24_final.stac-item
2019-01-19 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2019-01-19_final.stac-item
2019-01-22 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2019-01-22_final.stac-item
2019-03-10 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2019-03-10_final.stac-item
2019-03-17 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-03-17_final.stac-item
2019-04-06 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2019-04-06_final.stac-item
2019-05-26 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-05-26_final.stac-item
2019-06-04 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-06-04_final.stac-item
2019-06-18 11:42:26	ga_s2bm_ard_3-2-1_51KVB_2019-06-18_final.stac-item
2019-07-08 11:44:49	ga_s2bm_ard_3-2-1_51JUM_2019-07-08_final.stac-item
2019-09-19 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-09-19_final.stac-item
2019-09-25 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-09-25_final.stac-item
2019-10-02 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-02_final.stac-item
2019-10-12 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2019-10-12_final.stac-item
2019-10-19 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2019-10-19_final.stac-item
2019-11-18 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-11-18_final.stac-item
2019-12-16 11:15:19	ga_s2bm_ard_3-2-1_51JYJ_2019-12-16_final.stac-item
2019-12-22 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2019-12-22_final.stac-item
2020-03-27 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-03-27_final.stac-item
2020-04-06 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2020-04-06_final.stac-item
2020-04-07 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2020-04-07_final.stac-item
2020-04-24 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2020-04-24_final.stac-item
2020-04-29 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-29_final.stac-item
2020-04-30 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-04-30_final.stac-item
2020-07-02 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-07-02_final.stac-item
2020-07-19 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-07-19_final.stac-item
2020-08-11 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-11_final.stac-item
2020-09-27 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-09-27_final.stac-item
2020-11-09 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-09_final.stac-item
2020-12-26 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2020-12-26_final.stac-item
2021-01-25 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-01-25_final.stac-item
2021-01-25 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2021-01-25_final.stac-item
2021-02-17 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-02-17_final.stac-item
2021-05-11 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2021-05-11_final.stac-item
2021-05-31 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-05-31_final.stac-item
2021-06-16 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-16_final.stac-item
2021-06-24 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-06-24_final.stac-item
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final.stac-item
2021-08-03 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-08-03_final.stac-item
2021-08-13 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-08-13_final.stac-item
2021-11-11 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-11-11_final.stac-item
2021-12-11 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2021-12-11_final.stac-item
2021-12-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-13_final.stac-item
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final.stac-item
2022-01-03 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2022-01-03_final.stac-item
2022-02-28 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2022-02-28_final.stac-item
2022-03-14 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2022-03-14_final.stac-item
2022-03-31 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-03-31_final.stac-item
2022-03-31 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2022-03-31_final.stac-item
2022-05-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-05-23_final.stac-item
2022-06-12 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2022-06-12_final.stac-item
2022-06-26 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-06-26_final.stac-item
2022-07-18 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2022-07-18_final.stac-item
2022-08-01 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2022-08-01_final.stac-item
2022-09-07 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2022-09-07_final.stac-item
2022-10-23 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2022-10-23_final.stac-item
2022-11-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-11-02_final.stac-item
2022-11-19 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2022-11-19_final.stac-item
2022-11-19 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-11-19_final.stac-item
2022-12-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-12-25_final.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-07_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-05-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-05-05_final
2023-05-14 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-05-14_final
2023-05-18 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-05-18_final
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final
2023-06-01 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2023-06-01_final
2023-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-04_final
2023-06-17 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2023-06-17_final
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final
2023-09-05 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-09-05_final
2023-09-11 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-09-11_final
2024-01-10 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2024-01-10_final
2024-02-08 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-02-08_final
2024-02-19 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2024-02-19_final
2024-03-10 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2024-03-10_final
2024-04-25 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2024-04-25_final
2024-05-08 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2024-05-08_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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