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 11:40:29	ga_s2bm_ard_3-2-1_51KUV_2017-10-06_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUP_2017-11-25_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUU_2017-12-05_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-05_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWR_2018-02-10_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-02-22_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2018-04-07_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KKB_2018-05-10_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLM_2018-06-29_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KVT_2018-07-23_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVT_2018-10-21_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVR_2018-10-28_final
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final
2018-11-30 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2018-11-30_final
2018-12-17 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2018-12-17_final
2018-12-27 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2018-12-27_final
2019-02-08 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-02-08_final
2019-03-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-16_final
2019-03-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-03-20_final
2019-03-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-03-23_final
2019-03-27 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-03-27_final
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final
2019-04-05 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2019-04-05_final
2019-04-16 11:37:03	ga_s2bm_ard_3-2-1_51HUC_2019-04-16_final
2019-07-18 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-07-18_final
2019-08-14 11:34:21	ga_s2bm_ard_3-2-1_51KVP_2019-08-14_final
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final
2019-08-24 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2019-08-24_final
2019-09-06 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2019-09-06_final
2019-10-06 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-06_final
2019-10-13 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-13_final
2019-10-16 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2019-10-16_final
2019-10-23 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-10-23_final
2019-11-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-11-02_final
2019-12-15 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2019-12-15_final
2020-02-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-02-20 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-02-20_final
2020-03-04 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-03-04_final
2020-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-03-04_final
2020-05-03 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2020-05-03_final
2020-06-12 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-06-12_final
2020-08-28 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-08-28_final
2020-10-26 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-10-26_final
2020-11-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-11-06_final
2020-11-16 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2020-11-16_final
2020-11-29 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2020-11-29_final
2020-12-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2020-12-06_final
2020-12-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2020-12-06_final
2020-12-26 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2020-12-26_final
2021-01-11 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-01-11_final
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final.stac-item
2021-02-14 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2021-02-14_final
2021-02-24 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-24_final
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-26_final
2021-03-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-03-08_final
2021-04-25 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-04-25_final
2021-05-18 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-05-18_final
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-05-19_final
2021-05-28 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-05-28_final
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final
2021-07-13 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-13_final
2021-08-09 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-08-09_final
2021-09-22 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2021-09-22_final
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final
2021-11-08 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-11-08_final
2021-11-21 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2021-11-21_final
2021-12-04 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-04_final
2022-01-10 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2022-01-10_final
2022-01-20 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2022-01-20_final
2022-01-30 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-01-30_final
2022-02-11 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-02-11_final
2022-02-22 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-22_final
2022-03-27 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-03-27_final.stac-item
2022-03-30 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-03-30_final
2022-04-13 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-04-13_final
2022-05-03 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2022-05-03_final
2022-06-29 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-06-29_final
2022-07-12 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-07-12_final
2022-07-29 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2022-07-29_final
2022-09-03 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-03_final.stac-item
2022-09-23 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2022-09-23_final.stac-item
2022-11-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-22_final.stac-item
2022-12-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-12-02_final.stac-item
2023-01-28 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-01-28_final.stac-item
2023-02-07 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-02-07_final.stac-item
2023-04-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-04-08_final.stac-item
2023-04-11 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-11_final.stac-item
2023-04-18 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-04-18_final.stac-item
2023-05-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-05-04_final.stac-item
2023-06-04 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-06-04_final.stac-item
2023-07-04 11:35:46	ga_s2bm_ard_3-2-1_51JVH_2023-07-04_final.stac-item
2023-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-07_final.stac-item
2023-07-27 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2023-07-27_final.stac-item
2023-08-23 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-08-23_final.stac-item
2023-10-08 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-10-08_final.stac-item
2023-10-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-10-15_final.stac-item
2023-11-14 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2023-11-14_final.stac-item
2024-02-28 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2024-02-28_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-03-24_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