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_49JGL_2017-07-04_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLP_2017-10-12_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPK_2017-12-12_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JML_2017-12-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLP_2017-12-28_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JLP_2018-01-07_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-02-02_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGK_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKS_2018-03-31_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JNL_2018-04-04_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGK_2018-07-09_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JLM_2018-08-18_final.stac-item
2018-11-30 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-11-30_final.stac-item
2018-12-06 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2018-12-06_final.stac-item
2019-01-29 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-29_final.stac-item
2019-02-07 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-02-07_final.stac-item
2019-02-14 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-02-14_final.stac-item
2019-02-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-02-18_final.stac-item
2019-02-28 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2019-02-28_final.stac-item
2019-03-13 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-03-13_final.stac-item
2019-03-16 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-03-16_final.stac-item
2019-04-12 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2019-04-12_final.stac-item
2019-04-22 11:55:48	ga_s2bm_ard_3-2-1_50JLP_2019-04-22_final.stac-item
2019-05-02 11:56:48	ga_s2bm_ard_3-2-1_50HLK_2019-05-02_final.stac-item
2019-05-19 11:46:35	ga_s2bm_ard_3-2-1_50JML_2019-05-19_final.stac-item
2019-05-22 11:56:02	ga_s2bm_ard_3-2-1_50JMN_2019-05-22_final.stac-item
2019-05-22 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-05-22_final.stac-item
2019-05-25 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-25_final.stac-item
2019-05-29 11:46:34	ga_s2bm_ard_3-2-1_50JML_2019-05-29_final.stac-item
2019-06-24 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-06-24_final.stac-item
2019-07-18 11:46:31	ga_s2bm_ard_3-2-1_50JNL_2019-07-18_final.stac-item
2019-08-17 11:47:16	ga_s2bm_ard_3-2-1_50HMH_2019-08-17_final.stac-item
2019-09-02 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2019-09-02_final.stac-item
2019-09-09 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2019-09-09_final.stac-item
2019-10-02 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2019-10-02_final.stac-item
2019-10-19 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-10-19_final.stac-item
2019-11-18 11:56:20	ga_s2bm_ard_3-2-1_50JML_2019-11-18_final.stac-item
2019-12-15 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2019-12-15_final.stac-item
2020-01-14 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2020-01-14_final.stac-item
2020-02-26 11:55:21	ga_s2bm_ard_3-2-1_50JMQ_2020-02-26_final.stac-item
2020-02-29 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-02-29_final.stac-item
2020-03-10 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-03-10_final.stac-item
2020-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-24_final.stac-item
2020-05-13 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2020-05-13_final.stac-item
2020-07-18 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-07-18_final.stac-item
2020-08-21 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-21_final.stac-item
2020-11-05 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-11-05_final.stac-item
2020-11-12 11:56:29	ga_s2bm_ard_3-2-1_50JML_2020-11-12_final.stac-item
2020-11-25 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2020-11-25_final.stac-item
2020-12-05 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2020-12-05_final.stac-item
2020-12-19 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-19_final.stac-item
2020-12-22 11:54:37	ga_s2bm_ard_3-2-1_50JMT_2020-12-22_final.stac-item
2021-01-05 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-01-05_final.stac-item
2021-01-31 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-31_final.stac-item
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-02-13_final
2021-04-11 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-04-11_final.stac-item
2021-04-21 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2021-04-21_final.stac-item
2021-04-28 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2021-04-28_final.stac-item
2021-05-21 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-05-21_final.stac-item
2021-06-13 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-06-13_final.stac-item
2021-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2021-07-27_final.stac-item
2021-08-12 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-08-12_final.stac-item
2021-08-19 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-08-19_final.stac-item
2021-10-01 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2021-10-01_final.stac-item
2021-10-15 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-10-15_final.stac-item
2021-11-07 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2021-11-07_final.stac-item
2021-11-14 11:46:25	ga_s2bm_ard_3-2-1_50JML_2021-11-14_final.stac-item
2021-11-24 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2021-11-24_final.stac-item
2021-11-27 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2021-11-27_final.stac-item
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final.stac-item
2021-12-07 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-12-07_final.stac-item
2022-01-06 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2022-01-06_final.stac-item
2022-01-30 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-01-30_final.stac-item
2022-02-12 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-12_final.stac-item
2022-03-04 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2022-03-04_final.stac-item
2022-03-11 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2022-03-11_final.stac-item
2022-04-16 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2022-04-16_final.stac-item
2022-07-02 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-02_final.stac-item
2022-07-05 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-07-05_final.stac-item
2022-08-11 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2022-08-11_final.stac-item
2022-09-03 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2022-09-03_final.stac-item
2022-09-23 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-09-23_final.stac-item
2022-11-12 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2022-11-12_final.stac-item
2022-11-12 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2022-11-12_final.stac-item
2022-12-19 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-12-19_final.stac-item
2023-01-01 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2023-01-01_final.stac-item
2023-02-17 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-02-17_final
2023-04-21 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-04-21_final
2023-05-31 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2023-05-31_final
2023-06-30 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-06-30_final
2023-08-09 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-08-09_final
2023-08-12 12:05:14	ga_s2bm_ard_3-2-1_50JLR_2023-08-12_final
2023-08-26 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-08-26_final
2023-09-21 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-09-21_final
2023-09-25 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-09-25_final
2023-10-31 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-10-31_final
2023-12-11 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2023-12-11_final
2024-02-15 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2024-02-15_final
2024-03-06 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2024-03-06_final
2024-03-19 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-03-19_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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