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
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JCR_2018-05-12_final.stac-item
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JFM_2018-06-01_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHP_2018-09-20_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_50KKV_2018-09-20_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51JTJ_2018-09-21_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JPQ_2018-09-24_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JXH_2018-09-25_final.stac-item
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52JFM_2018-09-29_final.stac-item
2018-11-14 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2018-11-14_final.stac-item
2018-11-17 11:35:29	ga_s2bm_ard_3-2-1_51JUJ_2018-11-17_final.stac-item
2018-11-20 11:44:48	ga_s2bm_ard_3-2-1_51JUL_2018-11-20_final.stac-item
2018-11-26 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2018-11-26_final.stac-item
2018-11-27 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2018-11-27_final.stac-item
2018-12-04 11:25:40	ga_s2bm_ard_3-2-1_51JYG_2018-12-04_final.stac-item
2018-12-04 11:26:02	ga_s2bm_ard_3-2-1_51JXF_2018-12-04_final.stac-item
2018-12-10 11:44:34	ga_s2bm_ard_3-2-1_51JUM_2018-12-10_final.stac-item
2018-12-10 11:44:45	ga_s2bm_ard_3-2-1_51JUL_2018-12-10_final.stac-item
2018-12-11 11:15:06	ga_s2bm_ard_3-2-1_52JDP_2018-12-11_final.stac-item
2018-12-13 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2018-12-13_final.stac-item
2018-12-21 11:15:52	ga_s2bm_ard_3-2-1_51JXG_2018-12-21_final.stac-item
2019-09-24 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2019-09-24_final.stac-item
2019-11-03 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2019-11-03_final.stac-item
2019-11-16 11:15:11	ga_s2bm_ard_3-2-1_52JDP_2019-11-16_final.stac-item
2019-12-03 11:05:33	ga_s2bm_ard_3-2-1_52JFM_2019-12-03_final.stac-item
2019-12-13 11:05:33	ga_s2bm_ard_3-2-1_52JFM_2019-12-13_final.stac-item
2019-12-18 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2019-12-18_final.stac-item
2019-12-23 11:05:33	ga_s2bm_ard_3-2-1_52JFM_2019-12-23_final.stac-item
2020-02-01 11:05:09	ga_s2bm_ard_3-2-1_52JEP_2020-02-01_final.stac-item
2020-09-03 11:53:45	ga_s2bm_ard_3-2-1_50KPA_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 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2020-09-06_final.stac-item
2020-09-16 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2020-09-16_final.stac-item
2020-09-20 11:44:53	ga_s2bm_ard_3-2-1_51JUL_2020-09-20_final.stac-item
2020-09-24 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2020-09-24_final.stac-item
2020-10-01 11:15:15	ga_s2bm_ard_3-2-1_52JDP_2020-10-01_final.stac-item
2020-11-13 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2020-11-13_final.stac-item
2020-11-27 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2020-11-27_final.stac-item
2021-02-15 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2021-02-15_final.stac-item
2021-02-25 11:05:37	ga_s2bm_ard_3-2-1_52JFM_2021-02-25_final.stac-item
2021-09-03 11:05:35	ga_s2bm_ard_3-2-1_52JFM_2021-09-03_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 11:26:04	ga_s2bm_ard_3-2-1_51JXF_2021-09-09_final.stac-item
2021-09-15 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2021-09-15_final.stac-item
2021-09-19 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-09-19_final.stac-item
2021-09-23 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2021-09-23_final.stac-item
2021-10-03 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2021-10-03_final.stac-item
2021-11-28 11:25:48	ga_s2bm_ard_3-2-1_51JXG_2021-11-28_final.stac-item
2021-11-28 11:26:03	ga_s2bm_ard_3-2-1_51JXF_2021-11-28_final.stac-item
2021-12-05 11:15:52	ga_s2bm_ard_3-2-1_51JXG_2021-12-05_final.stac-item
2021-12-15 11:15:06	ga_s2bm_ard_3-2-1_52JDP_2021-12-15_final.stac-item
2021-12-18 11:26:01	ga_s2bm_ard_3-2-1_51JXF_2021-12-18_final.stac-item
2021-12-25 11:15:52	ga_s2bm_ard_3-2-1_51JXG_2021-12-25_final.stac-item
2021-12-27 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-12-27_final.stac-item
2021-12-28 11:25:48	ga_s2bm_ard_3-2-1_51JXG_2021-12-28_final.stac-item
2021-12-28 11:26:03	ga_s2bm_ard_3-2-1_51JXF_2021-12-28_final.stac-item
2022-01-21 11:05:33	ga_s2bm_ard_3-2-1_52JFM_2022-01-21_final.stac-item
2022-01-26 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-01-26_final.stac-item
2022-02-06 11:26:02	ga_s2bm_ard_3-2-1_51JXF_2022-02-06_final.stac-item
2022-02-06 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2022-02-06_final.stac-item
2022-02-10 11:05:33	ga_s2bm_ard_3-2-1_52JFM_2022-02-10_final.stac-item
2022-02-16 11:26:01	ga_s2bm_ard_3-2-1_51JXF_2022-02-16_final.stac-item
2022-02-23 11:15:52	ga_s2bm_ard_3-2-1_51JXG_2022-02-23_final.stac-item
2022-02-26 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2022-02-26_final.stac-item
2022-03-18 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2022-03-18_final.stac-item
2022-03-24 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2022-03-24_final.stac-item
2022-04-11 11:05:35	ga_s2bm_ard_3-2-1_52JFM_2022-04-11_final.stac-item
2022-04-17 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2022-04-17_final
2022-04-30 11:34:54	ga_s2bm_ard_3-2-1_51JUL_2022-04-30_final.stac-item
2022-04-30 11:35:09	ga_s2bm_ard_3-2-1_51JUK_2022-04-30_final.stac-item
2022-04-30 11:35:24	ga_s2bm_ard_3-2-1_51JUJ_2022-04-30_final.stac-item
2022-06-03 11:15:39	ga_s2bm_ard_3-2-1_52JCN_2022-06-03_final.stac-item
2022-06-06 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2022-06-06_final.stac-item
2022-06-16 11:26:26	ga_s2bm_ard_3-2-1_51HXE_2022-06-16_final.stac-item
2022-06-26 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2022-06-26_final.stac-item
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final.stac-item
2022-07-16 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2022-07-16_final.stac-item
2022-08-11 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2022-08-11_final.stac-item
2022-08-15 11:25:48	ga_s2bm_ard_3-2-1_51JYG_2022-08-15_final.stac-item
2022-10-23 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2022-10-23_final.stac-item
2022-10-24 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2022-10-24_final.stac-item
2022-10-24 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2022-10-24_final.stac-item
2022-10-28 11:05:37	ga_s2bm_ard_3-2-1_52JFM_2022-10-28_final.stac-item
2022-11-23 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2022-11-23_final.stac-item
2022-12-30 11:15:34	ga_s2bm_ard_3-2-1_52JCN_2022-12-30_final.stac-item
2023-01-02 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2023-01-02_final.stac-item
2023-01-06 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2023-01-06_final.stac-item
2023-01-12 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2023-01-12_final.stac-item
2023-02-11 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2023-02-11_final
2023-03-03 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2023-03-03_final
2023-03-10 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2023-03-10_final
2023-04-06 11:05:41	ga_s2bm_ard_3-2-1_52JFM_2023-04-06_final
2023-04-12 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2023-04-12_final
2023-04-12 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2023-04-12_final
2023-04-22 11:26:09	ga_s2bm_ard_3-2-1_51JXF_2023-04-22_final
2023-04-29 11:15:16	ga_s2bm_ard_3-2-1_52JDP_2023-04-29_final
2023-05-01 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-01_final
2023-06-11 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-06-11_final
2023-07-11 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-07-11_final
2023-07-11 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2023-07-11_final
2023-08-20 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-08-20_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