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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JHN_2017-07-04_final.stac-item
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JMM_2017-07-18_final.stac-item
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2017-08-06_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGP_2017-08-26_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JML_2017-08-27_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-10-25_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JLP_2017-11-11_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JNM_2017-11-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JMP_2017-12-28_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JNM_2018-01-04_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLM_2018-02-16_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLP_2018-03-21_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HNK_2018-03-28_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNH_2018-05-04_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JML_2018-05-07_final.stac-item
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQH_2018-07-20_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMQ_2018-08-05_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHM_2018-08-18_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKP_2018-10-07_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGN_2018-10-30_final.stac-item
2018-11-20 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2018-11-20_final.stac-item
2018-12-03 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2018-12-03_final.stac-item
2019-01-05 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2019-01-05_final.stac-item
2019-01-15 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-01-15_final.stac-item
2019-01-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-01-18_final.stac-item
2019-02-15 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-02-15_final.stac-item
2019-04-08 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2019-04-08_final.stac-item
2019-04-12 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final.stac-item
2019-04-22 11:55:53	ga_s2bm_ard_3-2-1_50JKP_2019-04-22_final.stac-item
2019-05-25 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2019-05-25_final.stac-item
2019-06-01 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-06-01_final.stac-item
2019-07-17 12:14:36	ga_s2bm_ard_3-2-1_49KGP_2019-07-17_final.stac-item
2019-07-31 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-07-31_final.stac-item
2019-07-31 11:56:26	ga_s2bm_ard_3-2-1_50JNL_2019-07-31_final.stac-item
2019-08-20 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2019-08-20_final.stac-item
2019-08-20 11:56:57	ga_s2bm_ard_3-2-1_50HMJ_2019-08-20_final.stac-item
2019-08-30 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2019-08-30_final.stac-item
2019-09-16 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2019-09-16_final.stac-item
2019-09-22 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-09-22_final.stac-item
2019-09-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-09-22_final.stac-item
2019-10-19 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2019-10-19_final.stac-item
2019-11-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-11-05_final.stac-item
2019-11-11 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2019-11-11_final.stac-item
2019-11-18 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-11-18_final.stac-item
2019-11-28 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2019-11-28_final.stac-item
2019-12-01 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2019-12-01_final.stac-item
2020-01-04 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2020-01-04_final.stac-item
2020-01-30 12:05:15	ga_s2bm_ard_3-2-1_50JLQ_2020-01-30_final.stac-item
2020-03-24 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-03-24_final.stac-item
2020-04-16 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2020-04-16_final.stac-item
2020-07-22 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-07-22_final.stac-item
2020-09-13 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-09-13_final.stac-item
2020-09-20 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-09-20_final.stac-item
2020-10-06 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-06_final.stac-item
2020-10-26 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-26_final.stac-item
2020-11-22 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final.stac-item
2020-11-26 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2020-11-26_final.stac-item
2020-12-09 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2020-12-09_final.stac-item
2021-01-11 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-01-11_final.stac-item
2021-01-28 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-01-28_final.stac-item
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final.stac-item
2021-04-18 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-04-18_final.stac-item
2021-05-28 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-05-28_final.stac-item
2021-05-31 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-05-31_final.stac-item
2021-08-09 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-08-09_final.stac-item
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2021-09-11_final.stac-item
2021-09-15 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2021-09-15_final
2021-11-14 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-11-14_final.stac-item
2021-11-24 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-11-24_final.stac-item
2021-11-30 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2021-11-30_final.stac-item
2022-01-16 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2022-01-16_final.stac-item
2022-01-26 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-01-26_final.stac-item
2022-02-15 11:55:14	ga_s2bm_ard_3-2-1_50JNQ_2022-02-15_final.stac-item
2022-02-22 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-02-22_final.stac-item
2022-03-04 11:46:23	ga_s2bm_ard_3-2-1_50JML_2022-03-04_final.stac-item
2022-03-27 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2022-03-27_final.stac-item
2022-05-09 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-05-09_final.stac-item
2022-08-11 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2022-08-11_final.stac-item
2022-12-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2022-12-05_final.stac-item
2022-12-12 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2022-12-12_final.stac-item
2022-12-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-29_final.stac-item
2023-01-27 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2023-01-27_final.stac-item
2023-01-28 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-01-28_final.stac-item
2023-02-07 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-02-07_final
2023-06-03 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-06-03_final
2023-06-30 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-06-30_final
2023-07-07 11:46:18	ga_s2bm_ard_3-2-1_50JMM_2023-07-07_final
2023-07-13 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-07-13_final
2023-07-30 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2023-07-30_final
2023-11-07 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-11-07_final
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final
2023-12-30 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-12-30_final
2024-01-03 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-01-03_final
2024-01-06 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2024-01-06_final
2024-02-02 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2024-02-02_final
2024-03-09 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2024-03-09_final
2024-03-26 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-03-26_final
2024-04-12 11:46:26	ga_s2bm_ard_3-2-1_50JML_2024-04-12_final
2024-04-25 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2024-04-25_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

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