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
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_52JGM_2017-09-18_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KCV_2017-09-27_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HNK_2017-10-26_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JXK_2017-11-09_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51LZC_2017-12-29_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52KBV_2017-12-29_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51HYD_2018-02-14_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKM_2018-02-16_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KXT_2018-02-27_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HNK_2018-03-25_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JBS_2018-04-25_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JBT_2018-04-25_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JFL_2018-05-19_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JFN_2018-06-02_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KGQ_2018-06-02_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KMU_2018-06-06_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KMB_2018-06-19_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JYF_2018-06-24_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGK_2018-08-08_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JBL_2018-08-23_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JWH_2018-10-05_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51KWP_2018-10-25_final
2018-11-10 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-11-10_final
2018-11-21 11:16:37	ga_s2bm_ard_3-2-1_51HXD_2018-11-21_final
2019-01-06 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2019-01-06_final
2019-02-05 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2019-02-05_final
2019-02-05 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-02-05_final
2019-02-05 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-05_final
2019-03-24 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2019-03-24_final
2019-04-12 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2019-04-12_final
2019-05-13 11:23:37	ga_s2bm_ard_3-2-1_51KXS_2019-05-13_final
2019-05-16 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-05-16_final
2019-05-26 11:33:25	ga_s2bm_ard_3-2-1_51KVT_2019-05-26_final
2019-06-22 11:23:18	ga_s2bm_ard_3-2-1_51KYT_2019-06-22_final
2019-07-05 11:34:41	ga_s2bm_ard_3-2-1_51JUN_2019-07-05_final
2019-07-25 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-25_final
2019-08-23 12:04:41	ga_s2bm_ard_3-2-1_50JMT_2019-08-23_final
2019-11-29 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2019-11-29_final
2019-12-22 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2019-12-22_final
2019-12-25 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2019-12-25_final
2020-01-04 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2020-01-04_final
2020-02-17 11:22:08	ga_s2bm_ard_3-2-1_51KYB_2020-02-17_final
2020-02-26 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2020-02-26_final
2020-03-01 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2020-03-01_final
2020-04-30 11:34:01	ga_s2bm_ard_3-2-1_51KXP_2020-04-30_final
2020-07-03 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2020-07-03_final
2020-07-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-07-18_final
2020-07-19 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-07-19_final
2020-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-09-10_final
2020-09-14 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-09-14_final
2020-10-30 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-10-30_final
2020-11-20 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2020-11-20_final
2020-11-20 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2020-11-20_final
2020-12-23 11:22:04	ga_s2bm_ard_3-2-1_52KBG_2020-12-23_final
2020-12-26 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2020-12-26_final
2021-01-22 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2021-01-22_final
2021-01-22 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2021-01-22_final
2021-03-03 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2021-03-03_final
2021-03-13 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-03-13_final
2021-04-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-04-08_final
2021-05-11 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-05-11_final
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2021-05-19_final
2021-05-22 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-05-22_final
2021-05-22 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-05-22_final
2021-06-08 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-06-08_final
2021-08-26 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2021-08-26_final
2021-09-12 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-09-12_final
2021-10-02 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-10-02_final
2021-10-14 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-10-14_final
2021-11-12 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-11-12_final
2021-12-31 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2021-12-31_final
2022-01-17 11:24:22	ga_s2bm_ard_3-2-1_51JXN_2022-01-17_final
2022-01-24 11:15:56	ga_s2bm_ard_3-2-1_52JCL_2022-01-24_final
2022-01-30 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-01-30_final
2022-05-23 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2022-05-23_final
2022-06-03 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2022-06-03_final
2022-07-23 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2022-07-23_final
2022-09-03 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2022-09-03_final.stac-item
2022-09-03 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2022-09-03_final.stac-item
2022-09-04 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2022-09-04_final.stac-item
2022-10-01 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2022-10-01_final.stac-item
2023-01-09 11:16:31	ga_s2bm_ard_3-2-1_52HBJ_2023-01-09_nrt.stac-item
2023-01-19 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2023-01-19_final.stac-item
2023-02-24 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2023-02-24_final.stac-item
2023-02-28 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2023-02-28_final.stac-item
2023-03-29 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2023-03-29_final.stac-item
2023-05-15 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-05-15_final.stac-item
2023-06-20 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-06-20_final.stac-item
2023-06-22 10:56:00	ga_s2bm_ard_3-2-1_52JGL_2023-06-22_final.stac-item
2023-07-01 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2023-07-01_final.stac-item
2023-09-12 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-12_final.stac-item
2023-09-28 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2023-09-28_final.stac-item
2023-10-12 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-10-12_final.stac-item
2023-11-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-11-28_final.stac-item
2023-12-11 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2023-12-11_final.stac-item
2023-12-28 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-12-28_final.stac-item
2024-02-29 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2024-02-29_final.stac-item
2024-03-10 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2024-03-10_final.stac-item
2024-03-24 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2024-03-24_final.stac-item
2024-04-25 11:55:45	ga_s2bm_ard_3-2-1_50JKP_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