Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KUU_2017-07-18_final
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGM_2017-07-27_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVB_2018-01-14_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HTD_2018-01-31_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KWR_2018-05-21_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JML_2018-06-13_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KYT_2018-08-09_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-10-07_final
2018-11-14 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2018-11-14_final
2018-12-07 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-12-07_final
2019-02-05 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-02-05_final
2019-05-26 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-05-26_final
2019-05-26 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2019-05-26_final
2019-06-05 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-06-05_final
2019-06-08 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-06-08_final
2019-06-15 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-06-15_final
2019-07-05 11:35:13	ga_s2bm_ard_3-2-1_51JTL_2019-07-05_final
2019-07-12 11:24:17	ga_s2bm_ard_3-2-1_51KYP_2019-07-12_final
2019-07-22 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-07-22_final
2019-09-03 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2019-09-03_final
2019-11-02 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-11-02_final
2019-11-12 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-11-12_final
2019-11-14 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-11-14_final
2019-12-02 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2019-12-02_final
2019-12-19 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-19_final
2020-01-11 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-01-11_final
2020-01-21 11:33:24	ga_s2bm_ard_3-2-1_51KVS_2020-01-21_final
2020-02-20 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2020-02-20_final
2020-03-11 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2020-03-11_final
2020-03-21 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2020-03-21_final
2020-03-31 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-03-31_final.stac-item
2020-04-23 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2020-04-23_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-06-16 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-06-16_final
2020-06-19 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-06-19_final
2020-08-11 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-11_final
2020-08-17 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-17_final
2020-09-14 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2020-09-14_final
2020-09-20 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-09-20_final
2020-09-27 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-09-27_final
2020-10-27 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2020-10-27_final
2020-10-27 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-10-27_final
2020-11-29 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2020-11-29_final
2020-12-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2020-12-29_final
2021-01-08 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-01-08_final
2021-01-25 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-25_final
2021-02-01 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2021-02-01_final
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-26_final
2021-07-11 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2021-07-11_final
2021-07-17 11:45:31	ga_s2bm_ard_3-2-1_51JTJ_2021-07-17_final
2021-08-03 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2021-08-03_final
2021-09-12 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-09-12_final
2021-09-22 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2021-09-22_final
2021-10-02 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-10-02_final
2021-10-15 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-10-15_final
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-11-04 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2021-11-04_final
2021-11-21 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2021-11-21_final
2021-12-08 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-12-08_final
2022-01-06 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-06_final
2022-01-16 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2022-01-16_final
2022-02-18 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-02-18_final
2022-03-08 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2022-03-08_final
2022-03-23 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-03-23_final
2022-04-23 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-04-23_final
2022-05-13 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-05-13_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-06-12 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2022-06-12_final
2022-06-29 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2022-06-29_final
2022-07-29 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2022-07-29_final
2022-11-19 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-11-19_final.stac-item
2022-11-26 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-11-26_final.stac-item
2022-12-06 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-12-06_final.stac-item
2022-12-19 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-12-19_final.stac-item
2023-01-08 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2023-01-08_final.stac-item
2023-01-28 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-01-28_final.stac-item
2023-02-07 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-02-07_final.stac-item
2023-02-17 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-02-17_final.stac-item
2023-03-16 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-03-16_final.stac-item
2023-03-20 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-03-20_final.stac-item
2023-04-02 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-04-02_final.stac-item
2023-05-15 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-05-15_final.stac-item
2023-05-18 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-05-18_final.stac-item
2023-05-25 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-05-25_final.stac-item
2023-06-14 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-06-14_final.stac-item
2023-06-21 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-06-21_final.stac-item
2023-07-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-10_final.stac-item
2023-07-24 11:33:15	ga_s2bm_ard_3-2-1_51KXT_2023-07-24_final.stac-item
2023-08-23 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-08-23_final.stac-item
2023-11-01 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-11-01_final.stac-item
2023-11-04 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2023-11-04_final.stac-item
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final.stac-item
2023-12-20 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-12-20_final.stac-item
2023-12-24 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2023-12-24_final.stac-item
2024-02-29 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2024-02-29_final.stac-item
2024-03-07 11:26:01	ga_s2bm_ard_3-2-1_51JXF_2024-03-07_final.stac-item
2024-04-09 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-04-09_final.stac-item
2024-04-29 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2024-04-29_final.stac-item
2024-05-02 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-05-02_final.stac-item
2024-05-12 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-05-12_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years