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_50KRA_2017-09-16_final.stac-item
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KPA_2018-04-27_final.stac-item
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2018-04-27_final.stac-item
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPV_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50KPA_2018-05-07_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49JHN_2018-05-23_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HQK_2018-09-21_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JQQ_2018-09-21_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JQR_2018-09-21_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KQV_2018-09-21_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLQ_2018-09-24_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HVD_2018-09-25_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2018-09-27_final.stac-item
2018-11-07 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2018-11-07_final.stac-item
2019-08-03 12:03:34	ga_s2bm_ard_3-2-1_50KLC_2019-08-03_final.stac-item
2019-08-03 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2019-08-03_final.stac-item
2019-09-15 12:14:04	ga_s2bm_ard_3-2-1_50KKV_2019-09-15_final.stac-item
2019-09-15 12:14:09	ga_s2bm_ard_3-2-1_50KKV_2019-09-15_final.stac-item
2020-02-27 11:26:13	ga_s2bm_ard_3-2-1_51HXE_2020-02-27_final.stac-item
2020-04-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final.stac-item
2020-04-02 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final.stac-item
2020-05-06 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-05-06_final
2020-05-13 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2020-05-13_final.stac-item
2020-06-18 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2020-06-18_final.stac-item
2020-07-21 12:14:06	ga_s2bm_ard_3-2-1_50KKV_2020-07-21_final.stac-item
2020-07-28 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-07-28_final.stac-item
2020-09-03 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-09-03_final
2020-09-03 11:54:05	ga_s2bm_ard_3-2-1_50KNA_2020-09-03_final.stac-item
2020-09-06 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2020-09-06_final.stac-item
2020-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-13_final.stac-item
2020-09-14 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-09-14_final.stac-item
2020-09-16 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-09-16_final.stac-item
2020-11-15 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2020-11-15_final.stac-item
2021-09-09 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2021-09-09_final.stac-item
2021-09-15 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2021-09-15_final.stac-item
2021-10-11 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-11_final.stac-item
2021-11-20 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-11-20_final.stac-item
2021-11-30 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2021-11-30_final.stac-item
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_49JFM_2021-12-20_final.stac-item
2021-12-24 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2021-12-24_final.stac-item
2021-12-25 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-12-25_final.stac-item
2021-12-28 11:26:30	ga_s2bm_ard_3-2-1_51HWD_2021-12-28_final.stac-item
2021-12-30 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-12-30_final.stac-item
2022-01-06 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-01-06_final.stac-item
2022-02-06 11:26:30	ga_s2bm_ard_3-2-1_51HXD_2022-02-06_final.stac-item
2022-02-08 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2022-02-08_final.stac-item
2022-02-08 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2022-02-08_final.stac-item
2022-02-15 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-02-15_final.stac-item
2022-02-22 11:45:55	ga_s2bm_ard_3-2-1_50JQM_2022-02-22_final.stac-item
2022-02-25 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2022-02-25_final
2022-03-14 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-03-14_final.stac-item
2022-03-24 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2022-03-24_final.stac-item
2022-04-03 11:45:57	ga_s2bm_ard_3-2-1_50JQM_2022-04-03_final.stac-item
2022-04-30 11:35:56	ga_s2bm_ard_3-2-1_51JTG_2022-04-30_final.stac-item
2022-10-26 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-10-26_final.stac-item
2022-11-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-11-02_final.stac-item
2022-11-29 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-11-29_final.stac-item
2022-12-29 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2022-12-29_final.stac-item
2022-12-29 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2022-12-29_final.stac-item
2023-01-05 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-01-05_final.stac-item
2023-01-12 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2023-01-12_final.stac-item
2023-01-12 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2023-01-12_final.stac-item
2023-01-14 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2023-01-14_final.stac-item
2023-01-14 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2023-01-14_final.stac-item
2023-02-17 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2023-02-17_final
2023-03-09 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2023-03-09_final
2023-03-10 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2023-03-10_final
2023-03-10 11:16:48	ga_s2bm_ard_3-2-1_51HWD_2023-03-10_final
2023-05-18 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2023-05-18_final
2023-05-18 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-05-18_final
2023-05-19 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2023-05-19_final
2023-05-22 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2023-05-22_final
2023-06-13 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-06-13_final
2023-06-30 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-06-30_final
2023-07-03 12:05:04	ga_s2bm_ard_3-2-1_50JMR_2023-07-03_final
2023-07-11 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-07-11_final
2023-07-11 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2023-07-11_final
2023-08-09 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-08-09_final
2023-08-09 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-08-09_final
2023-08-19 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-08-19_final
2023-08-20 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-08-20_final
2023-08-23 11:36:32	ga_s2bm_ard_3-2-1_51HVE_2023-08-23_final
2023-08-26 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2023-08-26_final
2023-09-11 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final
2023-09-15 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-09-15_final
2023-09-16 11:16:29	ga_s2bm_ard_3-2-1_51HXE_2023-09-16_final
2023-09-19 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2023-09-19_final
2023-09-25 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2023-09-25_final
2023-10-05 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2023-10-05_final
2023-11-18 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2023-11-18_final
2023-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2023-11-24_final
2023-12-17 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2023-12-17_final
2024-01-06 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2024-01-06_final
2024-02-18 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2024-02-18_final
2024-02-26 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-02-26_final
2024-03-04 11:16:22	ga_s2bm_ard_3-2-1_51HXE_2024-03-04_final
2024-04-15 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2024-04-15_final
2024-04-25 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2024-04-25_final
2024-04-26 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2024-04-26_final
2024-05-26 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2024-05-26_nrt

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