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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JLL_2017-07-01_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGM_2017-09-02_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2017-09-23_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JMM_2017-09-29_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50JML_2017-12-05_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLL_2018-02-16_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLN_2018-02-19_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50JQP_2018-03-12_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMJ_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKT_2018-03-31_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JNN_2018-04-04_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JPM_2018-04-04_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPJ_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQP_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNQ_2018-04-24_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKM_2018-05-30_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQH_2018-06-10_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-06-13_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMM_2018-08-05_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-08-28_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMJ_2018-09-01_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JLP_2018-09-07_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final.stac-item
2019-03-13 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2019-03-13_final.stac-item
2019-03-19 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-03-19_final.stac-item
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final.stac-item
2019-05-15 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final.stac-item
2019-05-15 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-15_final.stac-item
2019-05-22 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-05-22_final.stac-item
2019-06-21 11:55:24	ga_s2bm_ard_3-2-1_50JPQ_2019-06-21_final.stac-item
2019-06-21 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-06-21_final.stac-item
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-24_final.stac-item
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final.stac-item
2019-09-22 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-09-22_final.stac-item
2019-09-26 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-09-26_final.stac-item
2019-10-16 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2019-10-16_final.stac-item
2019-10-16 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2019-10-16_final.stac-item
2019-11-22 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2019-11-22_final.stac-item
2019-12-04 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-04_final.stac-item
2019-12-25 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-25_final.stac-item
2020-01-14 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2020-01-14_final.stac-item
2020-01-24 11:46:12	ga_s2bm_ard_3-2-1_50JPL_2020-01-24_final.stac-item
2020-02-09 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2020-02-09_final.stac-item
2020-02-10 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2020-02-10_final.stac-item
2020-02-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-02-23_final.stac-item
2020-05-26 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-05-26_final.stac-item
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final.stac-item
2020-06-02 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2020-06-02_final.stac-item
2020-06-18 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2020-06-18_final.stac-item
2020-06-18 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final.stac-item
2020-06-18 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final.stac-item
2020-08-01 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-01_final.stac-item
2020-08-21 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-21_final.stac-item
2020-08-24 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-08-24_final.stac-item
2020-10-10 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-10-10_final.stac-item
2020-10-30 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-10-30_final.stac-item
2020-11-09 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-11-09_final.stac-item
2020-12-05 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2020-12-05_final.stac-item
2021-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-01-04_final.stac-item
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final.stac-item
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-02-16_final.stac-item
2021-03-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-03-19_final
2021-05-31 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-05-31_final.stac-item
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final
2021-06-13 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final.stac-item
2021-07-04 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-04_final
2021-07-07 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2021-07-07_final.stac-item
2021-07-10 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-07-10_final.stac-item
2021-07-10 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-10_final.stac-item
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2021-07-13_final.stac-item
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final.stac-item
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final.stac-item
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final.stac-item
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final.stac-item
2021-09-11 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-09-11_final.stac-item
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final.stac-item
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final.stac-item
2021-12-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-12-07_final.stac-item
2022-01-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-01-10_final.stac-item
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final.stac-item
2022-03-30 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2022-03-30_final.stac-item
2022-05-13 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2022-05-13_final.stac-item
2022-06-12 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2022-06-12_final.stac-item
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-09-16_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-04_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final
2023-06-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-06-16_final
2023-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-27_final
2023-08-06 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-08-06_final
2023-09-28 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-09-28_final
2023-10-02 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-02_final
2023-11-04 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-11-04_final
2023-11-10 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-11-10_final
2023-11-30 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-30_final
2023-12-27 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-12-27_final
2024-01-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-01-19_final
2024-01-26 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-26_final
2024-05-12 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2024-05-12_interim

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