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
2017-08-02 10:47:24	ga_s2bm_ard_3-2-1_53KLT_2017-08-02_final.stac-item
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KTQ_2017-08-07_final.stac-item
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54JWN_2017-09-19_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KRB_2017-11-15_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50KLU_2017-12-01_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KTS_2018-01-04_final.stac-item
2018-02-26 10:11:23	ga_s2bm_ard_3-2-1_54HVJ_2018-02-26_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JMQ_2018-03-08_final.stac-item
2018-04-19 10:47:23	ga_s2bm_ard_3-2-1_53KLR_2018-04-19_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWU_2018-05-01_final.stac-item
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53JQN_2018-05-13_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KNA_2018-07-16_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50KLU_2018-08-18_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KTQ_2018-09-11_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JEQ_2018-10-09_final.stac-item
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_53KLR_2018-10-16_final.stac-item
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_53JMJ_2018-10-23_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51JUM_2018-10-28_final.stac-item
2018-12-05 10:52:04	ga_s2bm_ard_3-2-1_53KMA_2018-12-05_final.stac-item
2019-01-30 11:15:04	ga_s2bm_ard_3-2-1_52JCQ_2019-01-30_final.stac-item
2019-02-04 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2019-02-04_final.stac-item
2019-02-04 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-02-04_final.stac-item
2019-02-23 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2019-02-23_final.stac-item
2019-03-13 10:14:54	ga_s2bm_ard_3-2-1_54JWP_2019-03-13_final.stac-item
2019-03-15 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2019-03-15_final.stac-item
2019-04-12 10:14:18	ga_s2bm_ard_3-2-1_54JWS_2019-04-12_final.stac-item
2019-05-02 11:55:32	ga_s2bm_ard_3-2-1_50JMQ_2019-05-02_final.stac-item
2019-07-16 11:04:41	ga_s2bm_ard_3-2-1_52JES_2019-07-16_final.stac-item
2019-08-01 11:22:30	ga_s2bm_ard_3-2-1_52KBF_2019-08-01_final.stac-item
2019-08-20 10:15:03	ga_s2bm_ard_3-2-1_54JWP_2019-08-20_final.stac-item
2019-08-30 10:15:01	ga_s2bm_ard_3-2-1_54JWP_2019-08-30_final.stac-item
2019-10-08 10:44:25	ga_s2bm_ard_3-2-1_53JMM_2019-10-08_final.stac-item
2019-10-10 11:22:06	ga_s2bm_ard_3-2-1_52KCG_2019-10-10_final.stac-item
2019-10-12 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2019-10-12_final.stac-item
2019-10-13 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2019-10-13_final.stac-item
2019-10-23 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2019-10-23_final.stac-item
2019-11-18 10:16:11	ga_s2bm_ard_3-2-1_54HVJ_2019-11-18_final.stac-item
2019-12-10 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2019-12-10_final.stac-item
2020-01-17 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2020-01-17_final.stac-item
2020-01-26 10:44:46	ga_s2bm_ard_3-2-1_53JMK_2020-01-26_final.stac-item
2020-02-04 11:14:28	ga_s2bm_ard_3-2-1_52JCS_2020-02-04_final.stac-item
2020-03-16 10:44:22	ga_s2bm_ard_3-2-1_53JMM_2020-03-16_final.stac-item
2020-04-25 10:44:19	ga_s2bm_ard_3-2-1_53JMM_2020-04-25_final.stac-item
2020-06-07 10:52:14	ga_s2bm_ard_3-2-1_53KLA_2020-06-07_final.stac-item
2020-07-14 10:45:09	ga_s2bm_ard_3-2-1_53JMJ_2020-07-14_final.stac-item
2020-07-21 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-07-21_final.stac-item
2020-07-29 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-07-29_final.stac-item
2020-08-04 11:53:42	ga_s2bm_ard_3-2-1_50KNB_2020-08-04_final.stac-item
2020-08-23 10:44:28	ga_s2bm_ard_3-2-1_53JMM_2020-08-23_final.stac-item
2020-08-31 11:44:05	ga_s2bm_ard_3-2-1_51KTQ_2020-08-31_final.stac-item
2020-09-05 10:55:01	ga_s2bm_ard_3-2-1_52JGQ_2020-09-05_final.stac-item
2020-09-20 11:44:04	ga_s2bm_ard_3-2-1_51KTQ_2020-09-20_final.stac-item
2020-10-27 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-10-27_final.stac-item
2020-11-09 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2020-11-09_final.stac-item
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2020-11-09_final.stac-item
2020-11-22 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2020-11-22_final.stac-item
2021-02-10 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2021-02-10_final.stac-item
2021-03-02 10:14:56	ga_s2bm_ard_3-2-1_54JWP_2021-03-02_final.stac-item
2021-03-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-03-29_final.stac-item
2021-04-14 10:23:57	ga_s2bm_ard_3-2-1_54JUT_2021-04-14_final.stac-item
2021-05-21 11:54:08	ga_s2bm_ard_3-2-1_50KNV_2021-05-21_final.stac-item
2021-05-23 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2021-05-23_final.stac-item
2021-06-15 11:05:49	ga_s2bm_ard_3-2-1_52JDM_2021-06-15_final.stac-item
2021-07-09 10:44:41	ga_s2bm_ard_3-2-1_53JML_2021-07-09_final.stac-item
2021-08-14 11:06:07	ga_s2bm_ard_3-2-1_52JCL_2021-08-14_final.stac-item
2021-08-22 10:24:15	ga_s2bm_ard_3-2-1_54JUS_2021-08-22_final.stac-item
2021-08-28 10:45:06	ga_s2bm_ard_3-2-1_53JMJ_2021-08-28_final.stac-item
2021-10-31 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-10-31_final.stac-item
2021-10-31 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-10-31_final.stac-item
2021-11-30 10:23:54	ga_s2bm_ard_3-2-1_54JVT_2021-11-30_final.stac-item
2021-12-17 10:14:36	ga_s2bm_ard_3-2-1_54JWQ_2021-12-17_final.stac-item
2021-12-20 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-12-20_final.stac-item
2021-12-20 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2021-12-20_final.stac-item
2022-01-03 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2022-01-03_final.stac-item
2022-01-08 10:54:55	ga_s2bm_ard_3-2-1_52JGQ_2022-01-08_final.stac-item
2022-02-17 10:55:39	ga_s2bm_ard_3-2-1_52JFM_2022-02-17_final.stac-item
2022-03-09 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2022-03-09_final.stac-item
2022-03-11 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2022-03-11_final.stac-item
2022-03-27 10:14:54	ga_s2bm_ard_3-2-1_54JWP_2022-03-27_final.stac-item
2022-04-06 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2022-04-06_final.stac-item
2022-07-05 10:15:31	ga_s2bm_ard_3-2-1_54JWM_2022-07-05_final.stac-item
2022-08-04 11:53:43	ga_s2bm_ard_3-2-1_50KNB_2022-08-04_final.stac-item
2022-08-24 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2022-08-24_final.stac-item
2022-09-15 10:54:32	ga_s2bm_ard_3-2-1_52JGS_2022-09-15_final.stac-item
2022-10-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-10-06_final.stac-item
2022-10-30 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2022-10-30_final.stac-item
2022-11-30 11:14:04	ga_s2bm_ard_3-2-1_52KCU_2022-11-30_final.stac-item
2023-01-11 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2023-01-11_final.stac-item
2023-02-08 11:12:19	ga_s2bm_ard_3-2-1_52KDF_2023-02-08_final
2023-02-10 10:16:12	ga_s2bm_ard_3-2-1_54HVJ_2023-02-10_final.stac-item
2023-08-05 10:33:21	ga_s2bm_ard_3-2-1_53KRR_2023-08-05_final
2023-08-10 09:44:48	ga_s2bm_ard_3-2-1_55JGJ_2023-08-10_final
2023-08-21 10:53:30	ga_s2bm_ard_3-2-1_53KLR_2023-08-21_final
2023-08-22 10:22:35	ga_s2bm_ard_3-2-1_54KVD_2023-08-22_final
2023-08-23 09:54:24	ga_s2bm_ard_3-2-1_55JDL_2023-08-23_final
2023-08-26 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-08-26_final
2023-08-31 10:51:30	ga_s2bm_ard_3-2-1_53LMD_2023-08-31_final
2023-08-31 10:53:30	ga_s2bm_ard_3-2-1_53KLR_2023-08-31_final
2023-09-02 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-09-02_final
2023-09-02 09:54:39	ga_s2bm_ard_3-2-1_55JDK_2023-09-02_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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