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 11:38:32	ga_s2bm_ard_3-2-1_51KUV_2017-07-18_final.stac-item
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-27_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKQ_2017-09-22_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51JUL_2017-10-06_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUS_2017-10-06_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVU_2017-12-12_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTD_2018-01-11_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51LZE_2018-01-18_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LXC_2018-01-21_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KLA_2018-04-10_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPT_2018-04-14_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JXN_2018-04-21_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_51KVV_2018-05-14_final.stac-item
2018-07-20 11:26:58	ga_s2bm_ard_3-2-1_51KWB_2018-07-20_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KYU_2018-07-20_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KVV_2018-07-23_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKP_2018-07-26_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KWB_2018-08-02_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPH_2018-08-09_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KVR_2018-08-22_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JUH_2018-08-29_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2018-09-27_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KYR_2018-10-25_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KZS_2018-10-25_final.stac-item
2019-02-02 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2019-02-02_final.stac-item
2019-02-07 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2019-02-07_final.stac-item
2019-03-10 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2019-03-10_final.stac-item
2019-03-23 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2019-03-23_final.stac-item
2019-04-29 11:46:12	ga_s2bm_ard_3-2-1_50JPM_2019-04-29_final.stac-item
2019-05-29 11:41:41	ga_s2bm_ard_3-2-1_51LUE_2019-05-29_final.stac-item
2019-06-11 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-06-11_final.stac-item
2019-06-28 11:43:52	ga_s2bm_ard_3-2-1_51KUR_2019-06-28_final.stac-item
2019-07-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-27_final.stac-item
2019-08-15 11:06:05	ga_s2bm_ard_3-2-1_52JBM_2019-08-15_final.stac-item
2019-08-21 11:25:30	ga_s2bm_ard_3-2-1_51JXJ_2019-08-21_final.stac-item
2019-09-13 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2019-09-13_final.stac-item
2019-09-13 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2019-09-13_final.stac-item
2019-09-17 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2019-09-17_final.stac-item
2019-10-22 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2019-10-22_final.stac-item
2019-12-05 11:42:03	ga_s2bm_ard_3-2-1_51KWB_2019-12-05_final.stac-item
2020-02-04 11:15:12	ga_s2bm_ard_3-2-1_52JCP_2020-02-04_final.stac-item
2020-03-04 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-03-04_final.stac-item
2020-03-17 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-17_final.stac-item
2020-03-21 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2020-03-21_final.stac-item
2020-05-03 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2020-05-03_final.stac-item
2020-05-13 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2020-05-13_final.stac-item
2020-06-01 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-06-01_final.stac-item
2020-06-08 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-06-08_final.stac-item
2020-08-11 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-08-11_final.stac-item
2020-08-22 11:16:23	ga_s2bm_ard_3-2-1_52HBK_2020-08-22_final.stac-item
2020-09-14 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2020-09-14_final.stac-item
2020-09-30 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-09-30_final.stac-item
2020-10-04 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2020-10-04_final.stac-item
2020-11-10 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2020-11-10_final.stac-item
2020-11-12 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-11-12_final.stac-item
2021-01-15 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2021-01-15_final.stac-item
2021-01-25 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-01-25_final.stac-item
2021-01-31 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-01-31_final.stac-item
2021-02-04 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2021-02-04_final.stac-item
2021-02-12 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2021-02-12_final.stac-item
2021-02-23 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-02-23_final.stac-item
2021-04-08 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2021-04-08_final.stac-item
2021-04-15 11:32:28	ga_s2bm_ard_3-2-1_51KVA_2021-04-15_final.stac-item
2021-05-28 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-05-28_final.stac-item
2021-06-21 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-06-21_final.stac-item
2021-08-04 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2021-08-04_final.stac-item
2021-08-13 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-08-13_final.stac-item
2022-01-09 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2022-01-09_final.stac-item
2022-01-26 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2022-01-26_final.stac-item
2022-02-02 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-02_final.stac-item
2022-02-09 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2022-02-09_final.stac-item
2022-04-07 11:22:32	ga_s2bm_ard_3-2-1_51KYV_2022-04-07_final.stac-item
2022-04-10 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2022-04-10_final.stac-item
2022-06-08 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2022-06-08_final.stac-item
2022-06-12 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2022-06-12_final
2022-08-03 10:45:52	ga_s2bm_ard_3-2-1_52JGM_2022-08-03_final.stac-item
2022-09-05 10:54:35	ga_s2bm_ard_3-2-1_52JFS_2022-09-05_final.stac-item
2022-09-24 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2022-09-24_final.stac-item
2022-09-24 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-09-24_final.stac-item
2022-10-17 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2022-10-17_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-01-31 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2023-01-31_final.stac-item
2023-04-18 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2023-04-18_final
2023-04-25 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2023-04-25_final
2023-05-21 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-05-21_final
2023-06-13 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-06-13_final
2023-06-20 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2023-06-20_final
2023-08-16 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2023-08-16_final
2023-09-01 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-09-01_final
2023-09-12 11:35:51	ga_s2bm_ard_3-2-1_51JTH_2023-09-12_final
2023-12-11 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2023-12-11_final
2023-12-20 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-12-20_final
2023-12-28 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-12-28_final
2024-01-20 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2024-01-20_final
2024-01-23 11:44:40	ga_s2bm_ard_3-2-1_51JUM_2024-01-23_final
2024-04-19 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2024-04-19_final
2024-04-30 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2024-04-30_final
2024-05-19 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2024-05-19_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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