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
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KGR_2017-07-17_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50KQC_2017-10-19_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMM_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KNC_2017-12-08_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KMC_2018-01-07_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KKU_2018-01-20_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KLB_2018-01-30_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HPK_2018-01-31_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2018-02-10_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50JRT_2018-02-20_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGK_2018-03-11_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HMH_2018-06-23_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPH_2018-07-30_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKM_2018-08-18_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KQC_2018-09-04_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_50KKU_2018-10-10_final.stac-item
2018-12-16 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2018-12-16_final.stac-item
2018-12-29 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-12-29_final.stac-item
2019-01-22 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-01-22_final.stac-item
2019-02-24 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2019-02-24_final.stac-item
2019-03-23 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-03-23_final.stac-item
2019-04-12 11:53:44	ga_s2bm_ard_3-2-1_50KNB_2019-04-12_final.stac-item
2019-05-29 11:46:28	ga_s2bm_ard_3-2-1_50JPL_2019-05-29_final.stac-item
2019-06-15 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-06-15_final.stac-item
2019-09-22 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2019-09-22_final.stac-item
2019-10-09 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2019-10-09_final.stac-item
2019-11-21 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2019-11-21_final.stac-item
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2019-11-24_final.stac-item
2019-12-04 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2019-12-04_final.stac-item
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-31_final.stac-item
2020-01-17 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2020-01-17_final.stac-item
2020-04-29 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-04-29_final.stac-item
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-18_final.stac-item
2020-08-18 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2020-08-18_final.stac-item
2020-10-10 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2020-10-10_final.stac-item
2020-11-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-11-05_final.stac-item
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final.stac-item
2020-11-15 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2020-11-15_final.stac-item
2020-11-22 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2020-11-22_final.stac-item
2020-12-05 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2020-12-05_final.stac-item
2020-12-25 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-12-25_final.stac-item
2020-12-29 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2020-12-29_final.stac-item
2021-01-07 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-01-07_final.stac-item
2021-01-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-01-14_final.stac-item
2021-01-24 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-01-24_final.stac-item
2021-03-09 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2021-03-09_final.stac-item
2021-03-18 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-03-18_final.stac-item
2021-03-22 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2021-03-22_final
2021-03-28 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-03-28_final.stac-item
2021-05-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2021-05-07_final.stac-item
2021-05-08 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2021-05-08_final.stac-item
2021-05-11 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-05-11_final.stac-item
2021-06-17 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2021-06-17_final.stac-item
2021-07-23 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2021-07-23_final.stac-item
2021-08-02 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-08-02_final.stac-item
2021-10-18 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2021-10-18_final.stac-item
2021-12-07 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2021-12-07_final.stac-item
2021-12-20 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2021-12-20_final.stac-item
2022-01-06 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-01-06_final.stac-item
2022-01-19 12:03:54	ga_s2bm_ard_3-2-1_50KKA_2022-01-19_final.stac-item
2022-01-29 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-01-29_final.stac-item
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final.stac-item
2022-02-18 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-02-18_final.stac-item
2022-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-03-10_final.stac-item
2022-03-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-03-14_final.stac-item
2022-03-31 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2022-03-31_final.stac-item
2022-07-19 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2022-07-19_final.stac-item
2022-08-27 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-08-27_final.stac-item
2022-09-10 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2022-09-10_final.stac-item
2022-10-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-10-06_final.stac-item
2022-11-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2022-11-22_final.stac-item
2022-11-22 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2022-11-22_final.stac-item
2022-12-15 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-12-15_final.stac-item
2022-12-25 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2022-12-25_final.stac-item
2023-01-01 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-01-01_final.stac-item
2023-01-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-07_final.stac-item
2023-02-03 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2023-02-03_final.stac-item
2023-02-03 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-02-03_final.stac-item
2023-02-10 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2023-02-10_final.stac-item
2023-03-29 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2023-03-29_final
2023-04-17 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-04-17_final
2023-04-18 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-18_final
2023-04-24 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-04-24_final
2023-04-25 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-04-25_final
2023-05-21 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-05-21_final
2023-06-06 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-06_final
2023-07-27 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2023-07-27_final
2023-08-03 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-08-03_final
2023-08-09 11:54:28	ga_s2bm_ard_3-2-1_50KNU_2023-08-09_final
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2023-08-12_final
2023-09-01 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-09-01_final
2023-11-17 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2023-11-17_final
2023-12-27 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2023-12-27_final
2024-01-09 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2024-01-09_final
2024-01-19 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-01-19_final
2024-02-18 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2024-02-18_final
2024-02-25 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2024-02-25_final
2024-03-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-03-19_final
2024-04-02 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2024-04-02_final
2024-05-05 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-05-05_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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