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
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-11-11_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KNC_2017-12-28_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KPC_2018-01-07_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMH_2018-01-14_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQK_2018-01-14_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JPL_2018-01-14_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JMN_2018-01-17_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPH_2018-01-24_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JQN_2018-02-03_final.stac-item
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KPC_2018-02-16_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMH_2018-03-15_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-05-20_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKM_2018-05-30_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-06-09_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQH_2018-06-20_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLQ_2018-10-04_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JFM_2018-10-30_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final.stac-item
2019-01-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-01-05_final.stac-item
2019-02-14 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-02-14_final.stac-item
2019-03-27 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-03-27_final.stac-item
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final.stac-item
2019-04-16 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-04-16_final.stac-item
2019-04-28 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2019-04-28_final.stac-item
2019-05-15 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-15_final.stac-item
2019-06-11 11:56:18	ga_s2bm_ard_3-2-1_50JLM_2019-06-11_final.stac-item
2019-06-14 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-06-14_final.stac-item
2019-07-01 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-01_final.stac-item
2019-08-06 12:15:07	ga_s2bm_ard_3-2-1_49JFM_2019-08-06_final.stac-item
2019-08-13 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2019-08-13_final.stac-item
2019-10-06 11:46:27	ga_s2bm_ard_3-2-1_50JML_2019-10-06_final.stac-item
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-01_final.stac-item
2020-02-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-02-23_final.stac-item
2020-04-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-16_final.stac-item
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final.stac-item
2020-04-29 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-04-29_final.stac-item
2020-05-06 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-05-06_final.stac-item
2020-05-22 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-05-22_final.stac-item
2020-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-06-11_final.stac-item
2020-06-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-28_final.stac-item
2020-08-01 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-01_final.stac-item
2020-08-10 12:14:11	ga_s2bm_ard_3-2-1_50KKV_2020-08-10_final.stac-item
2020-10-10 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-10-10_final.stac-item
2020-11-18 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2020-11-18_final.stac-item
2021-01-07 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-01-07_final.stac-item
2021-02-17 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final.stac-item
2021-02-27 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-02-27_final
2021-05-11 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-05-11_final.stac-item
2021-05-11 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-05-11_final.stac-item
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final.stac-item
2021-06-17 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-17_final
2021-07-07 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-07_final.stac-item
2021-08-06 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-08-06_final.stac-item
2021-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final.stac-item
2021-08-16 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-08-16_final.stac-item
2021-08-19 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-08-19_final.stac-item
2021-08-22 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-08-22_final.stac-item
2021-09-18 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2021-09-18_final.stac-item
2021-10-02 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-10-02_final.stac-item
2021-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-08_final.stac-item
2021-11-24 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-11-24_final
2021-12-04 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-12-04_final.stac-item
2021-12-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-12-27_final.stac-item
2022-02-09 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2022-02-09_final.stac-item
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-03-03_final.stac-item
2022-03-17 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-03-17_final.stac-item
2022-05-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-05-09_final.stac-item
2022-06-02 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-06-02_final.stac-item
2022-06-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final.stac-item
2022-07-08 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2022-07-08_final.stac-item
2022-08-04 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2022-08-04_final.stac-item
2022-08-08 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2022-08-08_final.stac-item
2022-08-14 11:53:34	ga_s2bm_ard_3-2-1_50KMC_2022-08-14_final.stac-item
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-09_final.stac-item
2022-10-16 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2022-10-16_final.stac-item
2022-10-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-10-29_final.stac-item
2022-11-19 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-11-19_final.stac-item
2022-11-22 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2022-11-22_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-18_final.stac-item
2023-01-24 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2023-01-24_final.stac-item
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2023-02-23_final
2023-04-01 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-04-01_final
2023-05-04 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2023-05-04_final
2023-05-11 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-05-11_final
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-05-14_final
2023-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-07_final
2023-07-06 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-07-06_final
2023-08-19 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-19_final
2023-08-22 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2023-08-22_final
2023-10-31 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-10-31_final
2023-11-10 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-11-10_final
2023-12-27 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-12-27_final
2023-12-30 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-30_final
2024-02-01 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-02-01_final
2024-02-18 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2024-02-18_final
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_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

All years