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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLP_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPN_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JNS_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JNT_2017-09-09_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-18_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JHN_2017-11-24_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMT_2017-12-18_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLJ_2017-12-28_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLP_2018-01-10_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMH_2018-03-08_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-03-14_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JNR_2018-03-15_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2018-03-21_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLM_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNN_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHM_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLM_2018-03-31_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPJ_2018-04-01_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNS_2018-04-07_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKQ_2018-04-10_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_50JLN_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLQ_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLR_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JMT_2018-04-20_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQJ_2018-04-21_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JNS_2018-08-25_final.stac-item
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final.stac-item
2019-01-12 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2019-01-12_final.stac-item
2019-04-29 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-04-29_final.stac-item
2019-05-19 11:46:28	ga_s2bm_ard_3-2-1_50JPL_2019-05-19_final.stac-item
2019-05-22 11:54:52	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final.stac-item
2019-05-22 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-05-22_final.stac-item
2019-05-22 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-05-22_final.stac-item
2019-05-26 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-26_final.stac-item
2019-05-29 11:46:17	ga_s2bm_ard_3-2-1_50JNM_2019-05-29_final.stac-item
2019-05-29 11:46:21	ga_s2bm_ard_3-2-1_50JMM_2019-05-29_final.stac-item
2019-06-01 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-06-01_final.stac-item
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final.stac-item
2019-06-11 11:55:31	ga_s2bm_ard_3-2-1_50JMQ_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
2020-01-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-01-07_final.stac-item
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final.stac-item
2020-10-23 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2020-10-23_final.stac-item
2020-10-23 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2020-10-23_final.stac-item
2020-10-23 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2020-10-23_final.stac-item
2020-10-23 11:54:55	ga_s2bm_ard_3-2-1_50JNS_2020-10-23_final.stac-item
2020-10-23 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2020-10-23_final.stac-item
2020-10-23 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-23_final.stac-item
2020-10-23 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2020-10-23_final.stac-item
2020-10-26 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-10-26_final.stac-item
2020-10-30 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-10-30_final.stac-item
2020-11-09 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2020-11-09_final.stac-item
2020-11-09 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-11-09_final.stac-item
2021-02-17 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-02-17_final
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final
2021-04-28 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-28_final
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final
2021-06-13 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-06-13_final.stac-item
2021-06-27 11:45:40	ga_s2bm_ard_3-2-1_50JNP_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
2021-06-27 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-27_final.stac-item
2021-06-30 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-06-30_final.stac-item
2021-06-30 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-06-30_final.stac-item
2021-06-30 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-30_final.stac-item
2021-07-03 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2021-07-03_final.stac-item
2021-07-03 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2021-07-03_final.stac-item
2021-07-03 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2021-07-03_final.stac-item
2021-07-06 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-07-06_final.stac-item
2021-07-07 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2021-07-07_final.stac-item
2021-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-07_final.stac-item
2021-07-10 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2021-07-10_final.stac-item
2021-07-14 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-14_final
2021-07-26 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-26_final
2021-07-27 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-27_final.stac-item
2021-07-27 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-27_final.stac-item
2021-08-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-08-19_final.stac-item
2021-08-19 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-08-19_final.stac-item
2021-08-22 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-08-22_final.stac-item
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final.stac-item
2021-08-22 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-08-22_final.stac-item
2021-08-23 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-08-23_final.stac-item
2021-10-14 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-10-14_final.stac-item
2021-10-15 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-10-15_final.stac-item
2021-12-04 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2021-12-04_final.stac-item
2021-12-07 11:56:17	ga_s2bm_ard_3-2-1_50JML_2021-12-07_final.stac-item
2021-12-07 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2021-12-07_final.stac-item
2022-03-13 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final.stac-item
2023-01-11 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2023-01-11_final.stac-item
2023-01-11 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2023-01-11_final.stac-item
2023-01-11 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2023-01-11_final.stac-item
2023-01-21 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-02-14 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-02-14_final
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final
2023-11-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-24_final
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_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

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