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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKP_2017-07-11_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPN_2017-08-27_final.stac-item
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JML_2017-08-30_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLL_2017-09-09_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2017-09-12_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-09-22_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKN_2018-01-07_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQK_2018-01-14_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50JML_2018-02-03_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNH_2018-02-13_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPS_2018-03-15_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50JQL_2018-03-22_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPL_2018-03-25_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPR_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNS_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-03-31_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQN_2018-04-04_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JQN_2018-04-04_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JML_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMQ_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMS_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNQ_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNS_2018-04-07_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPQ_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JML_2018-04-14_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMP_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMT_2018-04-17_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKT_2018-04-20_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-06-09_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JKP_2018-07-06_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50JLT_2018-08-15_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JPS_2018-09-11_final.stac-item
2018-11-10 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2018-11-10_final.stac-item
2019-01-02 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-01-02_final.stac-item
2019-04-06 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2019-04-06_final.stac-item
2019-04-15 12:04:54	ga_s2bm_ard_3-2-1_50JMS_2019-04-15_final.stac-item
2019-05-02 11:55:54	ga_s2bm_ard_3-2-1_50JKP_2019-05-02_final.stac-item
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final.stac-item
2019-05-15 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-15_final.stac-item
2019-05-19 11:45:44	ga_s2bm_ard_3-2-1_50JPP_2019-05-19_final.stac-item
2019-05-19 11:46:03	ga_s2bm_ard_3-2-1_50JNN_2019-05-19_final.stac-item
2019-05-25 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-25_final.stac-item
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final.stac-item
2019-05-29 11:46:21	ga_s2bm_ard_3-2-1_50JMM_2019-05-29_final.stac-item
2019-05-29 11:46:34	ga_s2bm_ard_3-2-1_50JML_2019-05-29_final.stac-item
2019-05-29 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-29_final.stac-item
2019-06-01 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-06-01_final.stac-item
2019-06-11 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-11_final.stac-item
2019-06-11 11:55:35	ga_s2bm_ard_3-2-1_50JLQ_2019-06-11_final.stac-item
2019-06-11 11:55:50	ga_s2bm_ard_3-2-1_50JMP_2019-06-11_final.stac-item
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final.stac-item
2019-12-31 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2019-12-31_final.stac-item
2020-02-12 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-02-12_final.stac-item
2020-09-26 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-09-26_final.stac-item
2020-10-23 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2020-10-23_final.stac-item
2020-10-23 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2020-10-23_final.stac-item
2020-10-27 11:35:40	ga_s2bm_ard_3-2-1_50JQP_2020-10-27_final.stac-item
2020-10-29 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-10-29_final.stac-item
2021-03-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-03-15_final
2021-03-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-19_final.stac-item
2021-03-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-03-19_final
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final
2021-04-21 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2021-04-21_final.stac-item
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final
2021-05-28 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2021-05-28_final.stac-item
2021-06-04 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-04_final
2021-06-13 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-06-13_final.stac-item
2021-06-13 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-06-13_final.stac-item
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final.stac-item
2021-06-17 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-06-17_final.stac-item
2021-06-17 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2021-06-17_final.stac-item
2021-06-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-26_final.stac-item
2021-06-27 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2021-06-27_final.stac-item
2021-06-27 11:45:12	ga_s2bm_ard_3-2-1_50JNR_2021-06-27_final.stac-item
2021-06-27 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2021-06-27_final.stac-item
2021-07-03 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-07-03_final.stac-item
2021-07-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-07-04_final.stac-item
2021-07-07 11:45:41	ga_s2bm_ard_3-2-1_50JNP_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
2021-07-30 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-30_final.stac-item
2021-08-06 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-08-06_final.stac-item
2021-08-09 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2021-08-09_final.stac-item
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final.stac-item
2021-08-13 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2021-08-13_final.stac-item
2021-08-19 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2021-08-19_final.stac-item
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final.stac-item
2021-12-07 11:54:35	ga_s2bm_ard_3-2-1_50JMT_2021-12-07_final.stac-item
2021-12-07 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-12-07_final.stac-item
2021-12-07 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2021-12-07_final.stac-item
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-12-30_final
2022-05-29 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2022-05-29_final.stac-item
2022-08-21 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-21_final.stac-item
2023-01-28 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2023-01-28_final
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-05-04_final
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-11_final
2023-11-27 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2023-11-27_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