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
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVS_2017-11-02_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KYT_2017-11-19_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JMM_2018-01-17_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWR_2018-01-21_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQJ_2018-03-02_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXU_2018-05-11_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KTU_2018-05-14_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KQG_2018-05-17_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JVM_2018-05-31_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLN_2018-07-16_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JPR_2018-08-15_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KYT_2018-09-28_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVT_2018-10-31_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXT_2018-11-04_final
2018-11-07 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2018-11-07_final
2018-12-17 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2018-12-17_final
2018-12-24 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2018-12-24_final
2018-12-27 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2018-12-27_final
2019-01-03 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-01-03_final
2019-02-02 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-02-02_final
2019-02-11 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2019-02-11_final
2019-02-22 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-02-22_final
2019-03-20 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-03-20_final
2019-03-27 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-03-27_final
2019-04-15 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-04-15_final
2019-06-15 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-06-15_final
2019-07-08 11:42:30	ga_s2bm_ard_3-2-1_51KWA_2019-07-08_final
2019-08-17 11:43:03	ga_s2bm_ard_3-2-1_51KVU_2019-08-17_final
2019-09-26 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-09-26_final
2019-11-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-11-05_final
2019-11-22 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2019-11-22_final
2019-12-15 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2019-12-15_final
2020-01-10 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2020-01-10_final
2020-01-17 11:53:25	ga_s2bm_ard_3-2-1_50KMC_2020-01-17_final
2020-02-10 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2020-02-10_final
2020-03-07 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-03-07_final
2020-03-28 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2020-03-28_final
2020-04-23 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final
2020-04-30 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2020-04-30_final
2020-04-30 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2020-04-30_final
2020-05-30 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2020-05-30_final
2020-07-15 11:56:23	ga_s2bm_ard_3-2-1_50JML_2020-07-15_final
2020-07-22 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-07-22_final
2020-08-17 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-17_final
2020-08-28 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-08-28_final
2020-08-31 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-31_final
2020-09-24 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-09-24_final
2020-10-10 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2020-10-10_final
2020-11-09 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-11-09_final
2020-11-13 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2020-11-13_final
2021-01-18 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2021-01-18_final
2021-02-06 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-06_final
2021-02-20 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2021-02-20_final
2021-02-27 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-02-27_final
2021-02-27 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-02-27_final
2021-05-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-05-15_final
2021-05-19 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2021-05-19_final
2021-09-12 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-09-12_final
2021-09-25 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-09-25_final
2021-10-02 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2021-10-02_final
2021-10-22 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-10-22_final
2021-12-18 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2021-12-18_final
2022-01-03 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-03_final
2022-01-23 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-01-23_final
2022-02-06 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2022-02-06_final
2022-02-18 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-02-18_final
2022-02-25 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2022-02-25_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-04-09_final
2022-05-03 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-05-03_final
2022-07-25 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-07-25_final
2022-07-26 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2022-07-26_final
2022-08-01 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2022-08-01_final
2022-08-21 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2022-08-21_final
2022-09-03 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-03_final.stac-item
2022-09-07 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-09-07_final.stac-item
2022-10-17 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-10-17_final.stac-item
2022-12-03 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2022-12-03_final.stac-item
2022-12-06 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-12-06_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 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-12-19_final.stac-item
2022-12-26 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2022-12-26_final.stac-item
2022-12-28 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-12-28_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-24_final.stac-item
2023-02-14 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2023-02-14_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2023-02-23_final.stac-item
2023-03-13 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-03-13_final.stac-item
2023-03-29 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2023-03-29_final.stac-item
2023-04-12 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2023-04-12_final.stac-item
2023-04-14 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-04-14_final.stac-item
2023-04-15 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-04-15_final.stac-item
2023-06-14 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2023-06-14_final.stac-item
2023-07-01 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2023-07-01_final.stac-item
2023-10-12 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2023-10-12_final.stac-item
2023-11-04 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-11-04_final.stac-item
2023-11-13 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-11-13_final.stac-item
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-11-30_final.stac-item
2024-01-27 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2024-01-27_final.stac-item
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_final.stac-item
2024-04-22 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-04-22_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