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
2017-10-06 11:47:02	ga_s2bm_ard_3-2-1_50HMG_2017-10-06_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPH_2018-01-11_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-09_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KRC_2018-02-26_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVT_2018-03-05_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVS_2018-03-22_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KVT_2018-03-25_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQH_2018-04-01_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HUC_2018-04-08_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HTC_2018-05-11_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-19_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JQL_2018-07-13_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUS_2018-10-11_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVS_2018-10-18_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final
2018-11-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-11-26_final
2018-12-04 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2018-12-04_final
2019-01-06 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2019-01-06_final
2019-01-19 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-04-05 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-04-05_final
2019-04-05 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2019-04-05_final
2019-04-15 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2019-04-15_final
2019-05-22 11:53:12	ga_s2bm_ard_3-2-1_50KQD_2019-05-22_final.stac-item
2019-06-08 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-08_final
2019-07-18 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-07-18_final
2019-08-03 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-08-03_final
2019-08-24 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2019-08-24_final
2019-09-03 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2019-09-03_final
2019-10-03 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-03_final
2019-10-26 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2019-10-26_final
2019-11-18 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-11-18_final
2019-12-21 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2019-12-21_final
2019-12-25 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2019-12-25_final
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2020-01-07_final
2020-01-14 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2020-01-14_final
2020-01-21 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2020-01-21_final
2020-01-31 11:34:03	ga_s2bm_ard_3-2-1_51KWP_2020-01-31_final
2020-02-03 11:42:39	ga_s2bm_ard_3-2-1_51KUV_2020-02-03_final
2020-03-04 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-03-04_final
2020-08-31 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-08-31_final
2020-09-17 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-09-17_final
2020-10-10 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2020-10-10_final
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final.stac-item
2020-12-13 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2020-12-13_final
2021-02-10 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-02-10_final
2021-02-14 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2021-02-14_final
2021-02-24 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2021-02-24_final
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final
2021-02-27 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-02-27_final
2021-04-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-04-01_final.stac-item
2021-04-15 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2021-04-15_final
2021-04-25 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-04-25_final
2021-07-04 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-07-04_final
2021-07-11 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2021-07-11_final
2021-07-21 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2021-07-21_final
2021-08-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-08-16_final
2021-09-05 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-09-05_final
2021-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-10-05_final
2021-11-08 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2021-11-08_final
2021-11-11 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-11-11_final
2021-12-08 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2021-12-08_final
2022-01-07 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2022-01-07_final
2022-03-27 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2022-03-27_final
2022-04-20 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2022-04-20_final
2022-04-22 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2022-04-22_final
2022-04-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-04-23_final
2022-05-23 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-05-23_final
2022-06-12 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2022-06-12_final.stac-item
2022-06-29 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2022-06-29_final
2022-07-29 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2022-07-29_final
2022-07-29 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2022-07-29_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final
2022-09-04 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2022-09-04_final.stac-item
2022-10-17 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-10-17_final.stac-item
2022-10-26 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-10-26_final.stac-item
2022-11-20 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2022-11-20_final.stac-item
2022-11-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-11-29_final.stac-item
2022-12-16 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-12-16_final.stac-item
2023-01-29 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-29_final.stac-item
2023-02-03 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-02-03_final.stac-item
2023-02-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-02-23_final.stac-item
2023-02-24 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2023-02-24_final.stac-item
2023-03-12 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-03-12_final.stac-item
2023-03-29 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-03-29_final.stac-item
2023-04-14 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-04-14_final.stac-item
2023-04-21 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-21_final.stac-item
2023-05-02 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2023-05-02_final.stac-item
2023-05-15 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-05-15_final.stac-item
2023-05-25 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-05-25_final.stac-item
2023-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-06-21_final.stac-item
2023-08-07 11:15:30	ga_s2bm_ard_3-2-1_51JYJ_2023-08-07_final.stac-item
2023-08-23 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-08-23_final.stac-item
2023-10-18 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-10-18_final.stac-item
2023-10-28 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2023-10-28_final.stac-item
2023-11-14 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-11-14_final.stac-item
2023-12-21 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-21_final.stac-item
2023-12-24 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-12-24_final.stac-item
2024-01-27 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2024-01-27_final.stac-item
2024-02-12 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2024-02-12_final.stac-item
2024-05-19 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2024-05-19_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

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