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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPL_2017-08-27_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLP_2017-11-18_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMH_2017-12-28_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMH_2018-01-07_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KMC_2018-03-11_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JML_2018-04-17_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNM_2018-04-24_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKP_2018-05-10_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKN_2018-07-09_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-08-08_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-08-28_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKP_2018-09-07_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHR_2018-09-17_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HPK_2018-10-31_final.stac-item
2018-12-13 11:53:18	ga_s2bm_ard_3-2-1_50KNC_2018-12-13_final.stac-item
2019-01-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-01-02_final.stac-item
2019-01-05 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-01-05_final.stac-item
2019-01-12 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-01-12_final.stac-item
2019-02-04 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2019-02-04_final.stac-item
2019-04-19 11:46:14	ga_s2bm_ard_3-2-1_50JNM_2019-04-19_final.stac-item
2019-06-11 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-06-11_final.stac-item
2019-09-09 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2019-09-09_final.stac-item
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final.stac-item
2019-10-16 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2019-10-16_final.stac-item
2019-11-24 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2019-11-24_final.stac-item
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final.stac-item
2019-12-21 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-21_final.stac-item
2019-12-24 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2019-12-24_final.stac-item
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_50KKA_2020-01-30_final.stac-item
2020-03-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2020-03-17_final.stac-item
2020-04-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2020-04-09_final.stac-item
2020-04-22 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2020-04-22_final.stac-item
2020-04-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-04-23_final.stac-item
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final.stac-item
2020-08-17 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-17_final.stac-item
2020-08-24 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-08-24_final.stac-item
2020-08-27 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final.stac-item
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final.stac-item
2020-09-10 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-09-10_final.stac-item
2020-09-27 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-27_final.stac-item
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final.stac-item
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-11-09_final.stac-item
2020-11-18 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final.stac-item
2020-11-18 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-11-18_final.stac-item
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final.stac-item
2021-01-04 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-01-04_final.stac-item
2021-01-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-01-24_final.stac-item
2021-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-14_final.stac-item
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2021-03-25_final.stac-item
2021-04-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2021-04-14_final.stac-item
2021-05-11 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-05-11_final
2021-05-25 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-05-25_final.stac-item
2021-05-31 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-05-31_final.stac-item
2021-05-31 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-05-31_final.stac-item
2021-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-06-13_final.stac-item
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final.stac-item
2021-06-14 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-06-14_final.stac-item
2021-06-23 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-06-23_final.stac-item
2021-07-10 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-07-10_final.stac-item
2021-07-14 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2021-07-14_final.stac-item
2021-07-27 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-07-27_final.stac-item
2021-07-30 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2021-07-30_final.stac-item
2021-08-09 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2021-08-09_final.stac-item
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final.stac-item
2021-08-16 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-08-16_final.stac-item
2021-09-02 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2021-09-02_final.stac-item
2021-09-11 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-09-11_final.stac-item
2021-10-08 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-10-08_final.stac-item
2021-10-28 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-10-28_final.stac-item
2021-11-30 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2021-11-30_final.stac-item
2021-11-30 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2021-11-30_final.stac-item
2022-01-29 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-01-29_final.stac-item
2022-02-25 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-02-25_final.stac-item
2022-03-10 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-10_final.stac-item
2022-03-24 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2022-03-24_final.stac-item
2022-04-03 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2022-04-03_final.stac-item
2022-05-19 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-05-19_final.stac-item
2022-07-15 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2022-07-15_final.stac-item
2022-07-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-19_final.stac-item
2022-09-13 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2022-09-13_final.stac-item
2022-09-29 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-09-29_final.stac-item
2023-01-28 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-01-28_final
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final
2023-04-18 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-18_final
2023-04-24 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-04-24_final
2023-04-27 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2023-04-27_final
2023-05-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final
2023-05-21 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-05-21_final
2023-06-27 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-06-27_final
2023-07-20 11:53:40	ga_s2bm_ard_3-2-1_50KPB_2023-07-20_final
2023-08-22 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-22_final
2023-09-21 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-21_final
2023-11-20 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-11-20_final
2023-11-27 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2023-11-27_final
2023-12-03 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-03_final
2023-12-13 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-12-13_final
2023-12-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-12-17_final
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2024-01-29_final
2024-02-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2024-02-15_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