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
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMH_2017-12-08_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMJ_2018-01-24_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLP_2018-02-19_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-02-22_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNM_2018-04-24_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-09-08_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPJ_2018-10-31_final.stac-item
2018-11-26 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2018-11-26_final.stac-item
2018-11-30 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-30_final.stac-item
2018-12-03 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-03_final.stac-item
2018-12-26 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2018-12-26_final.stac-item
2019-01-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-01-02_final.stac-item
2019-01-02 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2019-01-02_final.stac-item
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final.stac-item
2019-01-22 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-01-22_final.stac-item
2019-01-22 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-01-22_final.stac-item
2019-02-21 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-02-21_final.stac-item
2019-04-12 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-04-12_final.stac-item
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final.stac-item
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final.stac-item
2019-07-04 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-07-04_final.stac-item
2019-07-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-24_final.stac-item
2019-08-16 12:15:06	ga_s2bm_ard_3-2-1_49JFM_2019-08-16_final.stac-item
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final.stac-item
2019-11-22 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2019-11-22_final.stac-item
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final.stac-item
2019-12-15 11:46:15	ga_s2bm_ard_3-2-1_50JML_2019-12-15_final.stac-item
2019-12-21 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2019-12-21_final.stac-item
2019-12-25 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2019-12-25_final.stac-item
2020-01-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-01-07_final.stac-item
2020-01-17 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-17_final.stac-item
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final.stac-item
2020-04-16 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2020-04-16_final.stac-item
2020-04-29 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-29_final.stac-item
2020-05-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-06_final.stac-item
2020-05-09 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-05-09_final.stac-item
2020-07-12 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-07-12_final.stac-item
2020-09-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-26_final.stac-item
2020-10-23 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-10-23_final.stac-item
2020-11-22 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2020-11-22_final.stac-item
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final.stac-item
2021-01-07 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-01-07_final.stac-item
2021-03-09 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-03-09_final.stac-item
2021-04-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2021-04-15_final
2021-04-24 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-04-24_final.stac-item
2021-05-01 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-05-01_final.stac-item
2021-05-15 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-05-15_final.stac-item
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final.stac-item
2021-06-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-03_final.stac-item
2021-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-06-14_final.stac-item
2021-06-17 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-17_final
2021-06-23 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-23_final.stac-item
2021-07-07 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2021-07-07_final.stac-item
2021-07-10 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-10_final.stac-item
2021-07-10 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-07-10_final.stac-item
2021-07-10 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-10_final.stac-item
2021-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2021-07-23_final.stac-item
2021-07-27 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-27_final
2021-08-03 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-08-03_final.stac-item
2021-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-15_final.stac-item
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2021-10-31_final.stac-item
2021-10-31 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final.stac-item
2021-11-17 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-11-17_final.stac-item
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_50KKA_2021-12-13_final.stac-item
2021-12-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-12-17_final.stac-item
2021-12-21 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-12-21_final
2021-12-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-12-27_final.stac-item
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final.stac-item
2022-01-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2022-01-19_final.stac-item
2022-02-05 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2022-02-05_final.stac-item
2022-05-16 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-05-16_final.stac-item
2022-10-06 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-10-06_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-19_final.stac-item
2022-12-25 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-12-25_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-11 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2023-01-11_final.stac-item
2023-01-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-01-11_final.stac-item
2023-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-02-17_final
2023-04-01 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-04-01_final
2023-06-03 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-06-03_final
2023-07-10 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-07-10_final
2023-11-07 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-11-07_final
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final
2023-12-27 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-12-27_final
2024-01-06 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2024-01-06_final
2024-01-16 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2024-01-16_final
2024-01-26 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-26_final
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_final
2024-02-18 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2024-02-18_final
2024-02-18 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-02-18_final
2024-02-25 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-02-25_final
2024-04-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-04-18_final
2024-04-28 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-28_final
2024-04-29 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-04-29_final
2024-05-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-05-12_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

All years