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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQH_2017-09-16_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-21_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_50KKV_2018-09-20_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGL_2018-09-20_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPH_2018-09-21_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMK_2018-09-24_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_50KKV_2018-09-30_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-10-10_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JFM_2018-10-20_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHR_2018-10-30_final.stac-item
2018-11-16 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2018-11-16_final.stac-item
2018-11-19 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2018-11-19_final.stac-item
2018-11-19 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-11-19_final.stac-item
2018-11-29 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2018-11-29_final.stac-item
2018-12-09 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2018-12-09_final.stac-item
2018-12-16 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2018-12-16_final.stac-item
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final.stac-item
2019-11-21 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2019-11-21_final.stac-item
2019-12-14 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-14_final.stac-item
2019-12-28 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2019-12-28_final.stac-item
2020-01-31 11:36:50	ga_s2bm_ard_3-2-1_51HUC_2020-01-31_final.stac-item
2020-04-29 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-29_final.stac-item
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final.stac-item
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_50KKA_2020-09-16_final.stac-item
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-09-19_final.stac-item
2020-09-23 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-09-23_final.stac-item
2020-09-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-09-29_final.stac-item
2020-11-15 12:03:34	ga_s2bm_ard_3-2-1_50KNB_2020-11-15_final.stac-item
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-11-15_final.stac-item
2021-08-26 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2021-08-26_final.stac-item
2021-08-29 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-08-29_final.stac-item
2021-08-29 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-08-29_final.stac-item
2021-10-15 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-15_final.stac-item
2021-10-18 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-18_final.stac-item
2021-10-18 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-10-18_final.stac-item
2021-10-18 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-10-18_final.stac-item
2021-10-18 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-18_final.stac-item
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final.stac-item
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final.stac-item
2021-11-07 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-11-07_final.stac-item
2021-11-08 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2021-11-08_final.stac-item
2021-11-21 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2021-11-21_final.stac-item
2021-11-30 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2021-11-30_final.stac-item
2021-12-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-12-27_final.stac-item
2022-01-03 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-01-03_final.stac-item
2022-01-09 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2022-01-09_final.stac-item
2022-01-23 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-01-23_final.stac-item
2022-01-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-01-26_final.stac-item
2022-02-06 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2022-02-06_final.stac-item
2022-02-06 11:27:02	ga_s2bm_ard_3-2-1_51HTC_2022-02-06_final.stac-item
2022-02-12 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final.stac-item
2022-02-28 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2022-02-28_final.stac-item
2022-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-14_final.stac-item
2022-04-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-04-26_final.stac-item
2022-04-29 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2022-04-29_final.stac-item
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final.stac-item
2022-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-20_final.stac-item
2022-05-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2022-05-20_final.stac-item
2022-05-23 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-05-23_final.stac-item
2022-06-05 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-06-05_final.stac-item
2022-06-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-06-29_final.stac-item
2022-07-05 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2022-07-05_final.stac-item
2022-07-05 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-05_final.stac-item
2022-07-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-07-15_final.stac-item
2022-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-25_final.stac-item
2022-08-04 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-08-04_final.stac-item
2022-08-04 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2022-08-04_final.stac-item
2022-08-14 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2022-08-14_final.stac-item
2022-08-24 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-08-24_final.stac-item
2022-08-24 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-08-24_final.stac-item
2022-08-24 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-08-24_final.stac-item
2022-09-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-09-26_final.stac-item
2022-10-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-10-10_final.stac-item
2022-11-05 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-11-05_final.stac-item
2022-11-06 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2022-11-06_final.stac-item
2022-11-06 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2022-11-06_final.stac-item
2022-12-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-12-03_final.stac-item
2022-12-03 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2022-12-03_final.stac-item
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2023-01-12 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2023-01-12_final.stac-item
2023-01-22 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-01-22_final.stac-item
2023-02-13 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-02-13_final
2023-02-20 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-02-20_final
2023-04-25 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-04-25_final
2023-04-28 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-04-28_final
2023-05-22 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-05-22_final
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final
2023-06-17 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-17_final
2023-07-17 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-07-17_final
2023-08-13 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2023-08-13_final
2023-08-19 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-08-19_final
2023-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-25_final
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final
2023-11-08 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-11-08_final
2023-11-08 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-11-08_final
2023-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-20_final
2023-12-11 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2023-12-11_final
2023-12-27 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2023-12-27_final
2024-01-26 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2024-01-26_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