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
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2018-04-27_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JPQ_2018-05-07_final.stac-item
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51JXG_2018-05-15_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KPU_2018-09-21_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JXF_2018-09-25_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_51JTG_2018-10-21_final.stac-item
2018-11-07 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2018-11-07_final.stac-item
2018-11-16 12:05:06	ga_s2bm_ard_3-2-1_49JFM_2018-11-16_final.stac-item
2019-06-24 12:05:07	ga_s2bm_ard_3-2-1_50JMR_2019-06-24_final.stac-item
2019-07-15 11:36:42	ga_s2bm_ard_3-2-1_51HVD_2019-07-15_final.stac-item
2019-08-03 12:03:52	ga_s2bm_ard_3-2-1_50KNA_2019-08-03_final.stac-item
2019-09-06 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2019-09-06_final.stac-item
2019-09-13 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2019-09-13_final.stac-item
2019-09-23 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-09-23_final.stac-item
2019-11-05 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2019-11-05_final.stac-item
2020-02-07 11:25:47	ga_s2bm_ard_3-2-1_51JXG_2020-02-07_final.stac-item
2020-04-02 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2020-04-02_final.stac-item
2020-04-17 11:25:48	ga_s2bm_ard_3-2-1_51JXG_2020-04-17_final.stac-item
2020-05-03 11:45:40	ga_s2bm_ard_3-2-1_51JTH_2020-05-03_final.stac-item
2020-05-07 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2020-05-07_final.stac-item
2020-07-05 11:52:39	ga_s2bm_ard_3-2-1_50KPF_2020-07-05_final
2020-08-01 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-08-01_final.stac-item
2020-09-03 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-09-03_final.stac-item
2020-09-06 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2020-09-06_final.stac-item
2020-09-06 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-09-06_final.stac-item
2020-09-11 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2020-09-11_final.stac-item
2020-09-16 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-09-16_final.stac-item
2021-08-26 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2021-08-26_final.stac-item
2021-08-30 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2021-08-30_final.stac-item
2021-09-08 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2021-09-08_final.stac-item
2021-09-09 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-09-09_final.stac-item
2021-09-09 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2021-09-09_final.stac-item
2021-09-09 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2021-09-09_final.stac-item
2021-09-19 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-09-19_final.stac-item
2021-10-15 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2021-10-15_final.stac-item
2021-11-04 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2021-11-04_final.stac-item
2021-11-24 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2021-11-24_final.stac-item
2021-12-27 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2021-12-27_final
2021-12-28 11:26:30	ga_s2bm_ard_3-2-1_51HWD_2021-12-28_final.stac-item
2021-12-30 12:04:54	ga_s2bm_ard_3-2-1_50JMR_2021-12-30_final.stac-item
2022-01-14 11:15:53	ga_s2bm_ard_3-2-1_51JXG_2022-01-14_final.stac-item
2022-01-22 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2022-01-22_final.stac-item
2022-01-23 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2022-01-23_final.stac-item
2022-02-03 11:15:51	ga_s2bm_ard_3-2-1_51JXG_2022-02-03_final.stac-item
2022-02-05 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2022-02-05_final.stac-item
2022-02-08 12:04:55	ga_s2bm_ard_3-2-1_50JLR_2022-02-08_final.stac-item
2022-03-04 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2022-03-04_final.stac-item
2022-03-10 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-03-10_final.stac-item
2022-03-15 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2022-03-15_final.stac-item
2022-04-03 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2022-04-03_final.stac-item
2022-04-09 12:04:40	ga_s2bm_ard_3-2-1_50JLS_2022-04-09_final.stac-item
2022-04-30 11:34:43	ga_s2bm_ard_3-2-1_51JTM_2022-04-30_final.stac-item
2022-05-03 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2022-05-03_final.stac-item
2022-05-06 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-05-06_final.stac-item
2022-07-23 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2022-07-23_final.stac-item
2022-08-27 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2022-08-27_final.stac-item
2022-09-11 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2022-09-11_final.stac-item
2022-09-23 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2022-09-23_final.stac-item
2022-10-20 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2022-10-20_final.stac-item
2022-12-09 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2022-12-09_final.stac-item
2023-02-03 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2023-02-03_final.stac-item
2023-03-09 11:46:11	ga_s2bm_ard_3-2-1_51JTF_2023-03-09_final
2023-05-08 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2023-05-08_final
2023-05-14 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-05-14_final
2023-05-18 11:46:12	ga_s2bm_ard_3-2-1_51JTF_2023-05-18_final
2023-05-19 11:16:24	ga_s2bm_ard_3-2-1_51JWF_2023-05-19_final
2023-05-21 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-05-21_final
2023-05-31 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-05-31_final
2023-06-07 11:46:12	ga_s2bm_ard_3-2-1_51JTF_2023-06-07_final
2023-06-10 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-06-10_final
2023-06-18 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2023-06-18_final
2023-06-28 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2023-06-28_final
2023-07-11 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-07-11_final
2023-07-20 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2023-07-20_final
2023-07-30 11:55:32	ga_s2bm_ard_3-2-1_50JPP_2023-07-30_final
2023-08-10 11:26:28	ga_s2bm_ard_3-2-1_51HXE_2023-08-10_final
2023-08-17 11:16:25	ga_s2bm_ard_3-2-1_51JWF_2023-08-17_final
2023-08-19 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-08-19_final
2023-08-20 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2023-08-20_final
2023-08-22 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-08-22_final
2023-09-01 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-09-01_final
2023-09-05 11:44:55	ga_s2bm_ard_3-2-1_51JUL_2023-09-05_final
2023-09-16 11:16:29	ga_s2bm_ard_3-2-1_51HXE_2023-09-16_final
2023-09-19 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2023-09-19_final
2023-09-19 11:26:26	ga_s2bm_ard_3-2-1_51HXE_2023-09-19_final
2023-10-09 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2023-10-09_final
2023-10-29 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2023-10-29_final
2023-11-08 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2023-11-08_final
2023-12-04 11:44:48	ga_s2bm_ard_3-2-1_51JUL_2023-12-04_final
2024-01-27 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-01-27_final
2024-02-02 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2024-02-02_final
2024-02-05 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2024-02-05_final
2024-02-22 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2024-02-22_final
2024-02-26 11:26:14	ga_s2bm_ard_3-2-1_51JXF_2024-02-26_final
2024-02-26 11:26:14	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
2024-03-26 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2024-03-26_final
2024-05-13 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2024-05-13_final
2024-05-22 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2024-05-22_nrt
2024-05-26 11:26:07	ga_s2bm_ard_3-2-1_51JXF_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