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
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KWV_2017-07-25_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HPK_2017-09-03_final
2017-09-16 11:47:11	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JNN_2017-11-18_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_51HUC_2017-11-22_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HXD_2018-02-27_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HNG_2018-03-22_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2018-05-11_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-05-20_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KLU_2018-06-19_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KVV_2018-07-10_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KTU_2018-07-23_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMS_2018-08-05_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMH_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KWB_2018-09-11_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51JUF_2018-10-15_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVV_2018-10-28_final
2018-11-16 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2018-11-16_final
2018-12-06 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2018-12-06_final
2019-01-09 11:44:05	ga_s2bm_ard_3-2-1_50KRU_2019-01-09_final
2019-02-04 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-02-04_final
2019-02-08 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2019-02-08_final
2019-04-19 11:42:29	ga_s2bm_ard_3-2-1_51KWA_2019-04-19_final
2019-05-18 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-05-18_final
2019-06-22 11:26:40	ga_s2bm_ard_3-2-1_51HUE_2019-06-22_final
2019-06-27 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final
2019-07-07 12:14:36	ga_s2bm_ard_3-2-1_49KGP_2019-07-07_final
2019-07-18 11:47:26	ga_s2bm_ard_3-2-1_50HPG_2019-07-18_final.stac-item
2019-08-31 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2019-08-31_final
2019-09-03 11:35:19	ga_s2bm_ard_3-2-1_51JUK_2019-09-03_final
2019-09-20 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2019-09-20_final
2019-10-22 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-10-22_final
2019-11-02 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-11-02_final
2019-11-08 11:53:31	ga_s2bm_ard_3-2-1_50KQB_2019-11-08_final
2020-01-24 11:42:57	ga_s2bm_ard_3-2-1_50KRD_2020-01-24_final
2020-02-17 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2020-02-17_final
2020-02-17 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2020-02-17_final
2020-03-07 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-03-07_final
2020-03-18 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2020-03-18_final
2020-03-31 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-31_final
2020-04-03 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2020-04-03_final
2020-04-10 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-04-10_final
2020-04-27 11:22:04	ga_s2bm_ard_3-2-1_51KZB_2020-04-27_final
2020-04-29 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2020-04-29_final
2020-04-30 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2020-04-30_final
2020-05-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2020-05-02_final
2020-05-06 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-05-06_final
2020-05-09 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-05-09_final
2020-07-02 11:44:04	ga_s2bm_ard_3-2-1_50KRV_2020-07-02_final
2020-07-29 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2020-07-29_final
2020-08-21 11:42:13	ga_s2bm_ard_3-2-1_51KWB_2020-08-21_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2021-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-01-04_final
2021-01-15 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-01-15_final
2021-01-24 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2021-01-24_final
2021-02-01 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2021-02-01_final
2021-03-06 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2021-03-06_final
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final.stac-item
2021-04-29 11:15:20	ga_s2bm_ard_3-2-1_51JYJ_2021-04-29_final
2021-07-04 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-04_final
2021-07-07 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2021-07-07_final
2021-07-24 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-07-24_final
2021-10-11 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-10-11_final
2021-10-22 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-22_final
2021-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2021-11-18_final
2021-12-11 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2021-12-11_final
2022-01-10 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2022-01-10_final
2022-02-02 11:45:36	ga_s2bm_ard_3-2-1_50JQN_2022-02-02_final
2022-03-31 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2022-03-31_final
2022-03-31 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2022-03-31_final
2022-04-17 11:24:22	ga_s2bm_ard_3-2-1_51JXN_2022-04-17_final
2022-04-20 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-04-20_final
2022-05-13 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2022-05-13_final
2022-06-21 12:14:23	ga_s2bm_ard_3-2-1_50KKU_2022-06-21_final
2022-07-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-07-15_final
2022-07-26 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2022-07-26_final
2022-08-28 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2022-08-28_final
2022-09-23 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2022-09-23_final.stac-item
2022-09-30 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2022-09-30_final.stac-item
2022-12-09 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-12-09_final.stac-item
2022-12-16 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2022-12-16_final.stac-item
2022-12-22 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-12-22_final.stac-item
2023-02-11 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2023-02-11_final.stac-item
2023-02-14 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2023-02-14_final.stac-item
2023-03-20 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2023-03-20_final.stac-item
2023-03-30 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2023-03-30_final.stac-item
2023-08-03 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-08-03_final.stac-item
2023-08-06 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-08-06_final.stac-item
2023-08-23 11:32:33	ga_s2bm_ard_3-2-1_51KWA_2023-08-23_final.stac-item
2023-09-08 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2023-09-08_final.stac-item
2023-09-21 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2023-09-21_final.stac-item
2023-09-22 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2023-09-22_final.stac-item
2023-10-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2023-10-05_final.stac-item
2023-11-04 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-11-04_final.stac-item
2023-11-04 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2023-11-04_final.stac-item
2024-01-19 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-01-19_final.stac-item
2024-02-25 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2024-02-25_final.stac-item
2024-02-29 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2024-02-29_final.stac-item
2024-04-25 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2024-04-25_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