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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPH_2017-08-07_final.stac-item
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51HUD_2017-09-03_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-11-24_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPK_2017-12-02_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPH_2017-12-05_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-12-24_final.stac-item
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KQC_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNL_2018-04-07_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JQL_2018-05-24_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-06-09_final.stac-item
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50JPL_2018-07-20_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLJ_2018-07-26_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-10-07_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50JNL_2018-10-21_final.stac-item
2018-12-06 12:03:14	ga_s2bm_ard_3-2-1_50KNC_2018-12-06_final.stac-item
2018-12-06 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2018-12-06_final.stac-item
2018-12-10 11:43:12	ga_s2bm_ard_3-2-1_50KRC_2018-12-10_final.stac-item
2019-01-12 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2019-01-12_final.stac-item
2019-02-04 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2019-02-04_final.stac-item
2019-03-13 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2019-03-13_final.stac-item
2019-05-02 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-05-02_final.stac-item
2019-05-15 12:03:32	ga_s2bm_ard_3-2-1_50KMC_2019-05-15_final.stac-item
2019-06-15 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-06-15_final.stac-item
2019-06-17 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final.stac-item
2019-07-15 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-07-15_final.stac-item
2019-10-09 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-10-09_final.stac-item
2019-12-01 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2019-12-01_final.stac-item
2019-12-18 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2019-12-18_final.stac-item
2020-02-02 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-02-02_final.stac-item
2020-02-03 11:43:15	ga_s2bm_ard_3-2-1_50KQC_2020-02-03_final.stac-item
2020-02-09 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2020-02-09_final.stac-item
2020-02-10 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2020-02-10_final.stac-item
2020-03-04 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2020-03-04_final.stac-item
2020-04-17 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2020-04-17_final.stac-item
2020-06-18 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2020-06-18_final.stac-item
2020-07-02 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-07-02_final.stac-item
2020-07-22 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2020-07-22_final.stac-item
2020-08-11 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2020-08-11_final.stac-item
2020-08-17 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-08-17_final.stac-item
2020-08-25 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2020-08-25_final.stac-item
2020-09-30 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-09-30_final.stac-item
2020-10-03 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-10-03_final
2021-03-25 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-03-25_final.stac-item
2021-04-15 11:36:24	ga_s2bm_ard_3-2-1_51HUE_2021-04-15_final.stac-item
2021-04-17 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-17_final.stac-item
2021-05-01 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-05-01_final.stac-item
2021-05-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-05-14_final.stac-item
2021-05-17 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-05-17_final.stac-item
2021-05-25 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-05-25_final.stac-item
2021-05-31 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-05-31_final.stac-item
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final.stac-item
2021-07-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-07-04_final.stac-item
2021-08-03 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-08-03_final.stac-item
2021-08-10 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-08-10_final.stac-item
2021-08-16 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2021-08-16_final.stac-item
2021-10-31 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2021-10-31_final.stac-item
2022-01-10 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2022-01-10_final.stac-item
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final.stac-item
2022-02-18 12:04:07	ga_s2bm_ard_3-2-1_50KKV_2022-02-18_final.stac-item
2022-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-03-10_final.stac-item
2022-03-14 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2022-03-14_final.stac-item
2022-04-13 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2022-04-13_final.stac-item
2022-05-13 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2022-05-13_final.stac-item
2022-05-23 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2022-05-23_final.stac-item
2022-07-18 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2022-07-18_final.stac-item
2022-07-22 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2022-07-22_final.stac-item
2022-08-04 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2022-08-04_final.stac-item
2022-08-14 11:53:34	ga_s2bm_ard_3-2-1_50KMC_2022-08-14_final.stac-item
2022-08-17 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2022-08-17_final.stac-item
2022-09-06 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-06_final.stac-item
2022-09-09 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2022-09-09_final.stac-item
2023-01-08 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-01-08_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-01-14_final.stac-item
2023-01-25 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-25_final.stac-item
2023-01-31 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-31_final.stac-item
2023-02-10 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2023-02-10_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final
2023-03-15 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-03-15_final
2023-04-24 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-04-24_final
2023-05-01 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-05-01_final
2023-05-04 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-05-04_final
2023-06-13 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-06-13_final
2023-06-13 12:04:37	ga_s2bm_ard_3-2-1_50KKU_2023-06-13_final
2023-08-19 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-08-19_final
2023-08-25 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-08-25_final
2023-10-02 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-10-02_final
2023-10-18 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-10-18_final
2023-11-10 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-11-10_final
2023-11-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2023-11-23_final
2023-11-24 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2023-11-24_final
2023-12-27 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2023-12-27_final
2024-01-16 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-01-16_final
2024-02-08 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2024-02-08_final
2024-02-08 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2024-02-08_final
2024-02-09 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2024-02-09_final
2024-02-12 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2024-02-12_final
2024-02-18 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2024-02-18_final
2024-03-03 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2024-03-03_final
2024-03-09 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2024-03-09_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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