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
2017-08-05 11:00:30	ga_s2bm_ard_3-2-1_52JFM_2017-08-05_final.stac-item
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_51HVD_2017-11-02_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_50JQT_2018-04-27_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_51JUL_2018-05-04_final.stac-item
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPA_2018-05-07_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KNA_2018-05-10_final.stac-item
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JFM_2018-07-31_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JDQ_2018-09-19_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_50KKU_2018-09-20_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KTR_2018-09-21_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JET_2018-09-22_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HXE_2018-09-25_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JVJ_2018-09-25_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JCR_2018-10-09_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51JTG_2018-10-11_final.stac-item
2019-02-02 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2019-02-02_final.stac-item
2019-02-02 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2019-02-02_final.stac-item
2019-02-16 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2019-02-16_final.stac-item
2019-02-19 11:14:07	ga_s2bm_ard_3-2-1_52JET_2019-02-19_final.stac-item
2019-02-26 11:05:37	ga_s2bm_ard_3-2-1_52JFM_2019-02-26_final.stac-item
2019-06-26 11:05:47	ga_s2bm_ard_3-2-1_52JFM_2019-06-26_final.stac-item
2019-08-03 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2019-08-03_final.stac-item
2019-09-06 11:46:10	ga_s2bm_ard_3-2-1_51JTF_2019-09-06_final.stac-item
2019-09-07 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2019-09-07_final.stac-item
2019-09-13 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2019-09-13_final.stac-item
2019-09-23 11:35:03	ga_s2bm_ard_3-2-1_51JVK_2019-09-23_final.stac-item
2019-09-23 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2019-09-23_final.stac-item
2019-09-24 11:04:55	ga_s2bm_ard_3-2-1_52JCR_2019-09-24_final.stac-item
2019-09-30 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2019-09-30_final.stac-item
2019-10-04 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2019-10-04_final.stac-item
2019-10-06 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2019-10-06_final.stac-item
2019-10-17 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2019-10-17_final.stac-item
2019-11-12 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2019-11-12_final.stac-item
2019-12-13 11:04:39	ga_s2bm_ard_3-2-1_52JDS_2019-12-13_final.stac-item
2020-01-31 11:35:00	ga_s2bm_ard_3-2-1_51JUK_2020-01-31_final.stac-item
2020-04-11 11:05:35	ga_s2bm_ard_3-2-1_52JFM_2020-04-11_final.stac-item
2020-04-17 11:22:07	ga_s2bm_ard_3-2-1_51KYB_2020-04-17_final.stac-item
2020-05-03 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2020-05-03_final.stac-item
2020-07-09 11:35:54	ga_s2bm_ard_3-2-1_51JTG_2020-07-09_final.stac-item
2020-07-28 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2020-07-28_final.stac-item
2020-07-28 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-07-28_final.stac-item
2020-08-09 11:04:59	ga_s2bm_ard_3-2-1_52JCR_2020-08-09_final.stac-item
2020-09-06 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2020-09-06_final.stac-item
2020-09-06 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2020-09-06_final.stac-item
2020-09-20 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2020-09-20_final.stac-item
2020-09-30 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-09-30_final.stac-item
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final.stac-item
2021-07-20 11:52:39	ga_s2bm_ard_3-2-1_50KPF_2021-07-20_final
2021-08-27 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2021-08-27_final.stac-item
2021-09-11 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2021-09-11_final.stac-item
2021-09-25 11:46:06	ga_s2bm_ard_3-2-1_51JTF_2021-09-25_final.stac-item
2021-09-29 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2021-09-29_final.stac-item
2021-11-21 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2021-11-21_final.stac-item
2021-12-18 11:26:26	ga_s2bm_ard_3-2-1_51HXD_2021-12-18_final.stac-item
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_49JFM_2021-12-20_final.stac-item
2022-01-03 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2022-01-03_final.stac-item
2022-01-13 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2022-01-13_final.stac-item
2022-01-17 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2022-01-17_final.stac-item
2022-02-02 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2022-02-02_final.stac-item
2022-02-23 11:15:45	ga_s2bm_ard_3-2-1_51JXG_2022-02-23_final.stac-item
2022-02-23 11:16:15	ga_s2bm_ard_3-2-1_51JWF_2022-02-23_final.stac-item
2022-03-24 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2022-03-24_final.stac-item
2022-04-30 11:35:12	ga_s2bm_ard_3-2-1_51JTK_2022-04-30_final.stac-item
2022-05-10 11:36:31	ga_s2bm_ard_3-2-1_51HVD_2022-05-10_final.stac-item
2022-05-17 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2022-05-17_final.stac-item
2022-06-23 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2022-06-23_final.stac-item
2022-06-26 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2022-06-26_final.stac-item
2022-07-13 11:16:24	ga_s2bm_ard_3-2-1_51JWF_2022-07-13_final.stac-item
2022-07-26 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2022-07-26_final.stac-item
2022-08-05 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2022-08-05_final.stac-item
2022-08-15 11:25:48	ga_s2bm_ard_3-2-1_51JYG_2022-08-15_final.stac-item
2022-08-25 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2022-08-25_final.stac-item
2022-09-24 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2022-09-24_final.stac-item
2022-11-29 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-11-29_final.stac-item
2023-01-02 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2023-01-02_final.stac-item
2023-01-14 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2023-01-14_final.stac-item
2023-02-03 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-02-03_final.stac-item
2023-05-28 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2023-05-28_final
2023-06-11 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2023-06-11_final
2023-06-13 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-06-13_final
2023-06-20 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-06-20_final
2023-06-25 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2023-06-25_final
2023-07-25 11:05:44	ga_s2bm_ard_3-2-1_52JFM_2023-07-25_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
2023-08-23 11:36:38	ga_s2bm_ard_3-2-1_51HVD_2023-08-23_final
2023-08-26 11:46:12	ga_s2bm_ard_3-2-1_51JTF_2023-08-26_final
2023-09-22 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2023-09-22_final
2023-10-05 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2023-10-05_final
2023-10-09 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2023-10-09_final
2023-10-26 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2023-10-26_final
2023-11-17 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2023-11-17_final
2023-12-14 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2023-12-14_final
2024-01-11 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2024-01-11_final
2024-01-17 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-01-17_final
2024-02-02 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2024-02-02_final
2024-02-03 11:15:51	ga_s2bm_ard_3-2-1_51JYG_2024-02-03_final
2024-02-20 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2024-02-20_final
2024-03-30 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2024-03-30_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