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
2017-07-10 10:43:08	ga_s2bm_ard_3-2-1_53KMR_2017-07-10_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYU_2017-12-02_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53KRQ_2017-12-24_final
2018-03-08 10:16:06	ga_s2bm_ard_3-2-1_53HQB_2018-03-08_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53LPC_2018-03-20_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JTN_2018-04-11_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLH_2018-04-17_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JVG_2018-04-28_final
2018-06-09 10:26:11	ga_s2bm_ard_3-2-1_53HQC_2018-06-09_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVT_2018-07-03_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGL_2018-08-28_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JEM_2018-10-09_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KCB_2018-10-25_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-10-27_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53JKK_2018-11-05_final
2018-11-10 11:44:38	ga_s2bm_ard_3-2-1_51JUM_2018-11-10_final
2018-11-11 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2018-11-11_final
2018-11-25 10:50:49	ga_s2bm_ard_3-2-1_53LNF_2018-11-25_final
2018-11-27 09:56:49	ga_s2bm_ard_3-2-1_54HYF_2018-11-27_final
2018-12-21 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2018-12-21_final
2019-03-27 09:56:58	ga_s2bm_ard_3-2-1_54HXF_2019-03-27_final
2019-04-17 11:06:05	ga_s2bm_ard_3-2-1_52JEL_2019-04-17_final
2019-04-26 11:34:03	ga_s2bm_ard_3-2-1_51KWQ_2019-04-26_final
2019-06-03 10:56:04	ga_s2bm_ard_3-2-1_52JGL_2019-06-03_final
2019-06-20 10:46:32	ga_s2bm_ard_3-2-1_53HLD_2019-06-20_final
2019-07-27 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-27_final
2019-07-29 11:15:30	ga_s2bm_ard_3-2-1_52JBP_2019-07-29_final
2019-09-12 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2019-09-12_final
2019-12-30 10:51:53	ga_s2bm_ard_3-2-1_53KLB_2019-12-30_final
2020-01-08 11:22:46	ga_s2bm_ard_3-2-1_52KBD_2020-01-08_final
2020-02-02 10:34:44	ga_s2bm_ard_3-2-1_53JPK_2020-02-02_final
2020-02-07 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2020-02-07_final
2020-04-20 09:57:17	ga_s2bm_ard_3-2-1_54HYD_2020-04-20_final
2020-04-22 10:35:50	ga_s2bm_ard_3-2-1_53JMF_2020-04-22_final
2020-04-23 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-04-23_final
2020-05-26 10:15:51	ga_s2bm_ard_3-2-1_54HXK_2020-05-26_final
2020-07-19 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2020-07-19_final
2020-07-19 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2020-07-19_final
2020-08-11 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2020-08-11_final
2020-09-01 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2020-09-01_final
2020-09-01 11:15:46	ga_s2bm_ard_3-2-1_51JXH_2020-09-01_final
2020-09-16 10:25:04	ga_s2bm_ard_3-2-1_54JTP_2020-09-16_final
2020-12-27 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2020-12-27_final
2021-01-03 10:54:07	ga_s2bm_ard_3-2-1_53JLN_2021-01-03_final
2021-01-06 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2021-01-06_final
2021-01-08 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2021-01-08_final
2021-02-14 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2021-02-14_final
2021-03-02 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2021-03-02_final
2021-03-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-03-16_final
2021-04-01 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2021-04-01_final
2021-04-10 10:45:34	ga_s2bm_ard_3-2-1_53JMG_2021-04-10_final
2021-06-28 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2021-06-28_final
2021-07-30 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2021-07-30_final
2021-08-16 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2021-08-16_final
2021-10-06 11:15:48	ga_s2bm_ard_3-2-1_52JCM_2021-10-06_final
2021-11-22 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2021-11-22_final
2021-12-01 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-12-01_final
2022-01-28 10:55:39	ga_s2bm_ard_3-2-1_52JFM_2022-01-28_final
2022-02-26 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2022-02-26_final
2022-03-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-03-13_final
2022-03-18 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2022-03-18_final
2022-03-29 10:53:58	ga_s2bm_ard_3-2-1_52KGU_2022-03-29_final
2022-05-11 11:04:09	ga_s2bm_ard_3-2-1_52JET_2022-05-11_final
2022-05-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-05-13_final
2022-05-26 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2022-05-26_final
2022-06-19 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2022-06-19_final
2022-06-30 11:00:45	ga_s2bm_ard_3-2-1_53LLG_2022-06-30_final
2022-07-12 10:06:33	ga_s2bm_ard_3-2-1_54HWH_2022-07-12_final
2022-08-02 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2022-08-02_final
2022-08-02 11:14:36	ga_s2bm_ard_3-2-1_52JDS_2022-08-02_final
2022-09-01 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2022-09-01_final.stac-item
2022-10-01 11:14:40	ga_s2bm_ard_3-2-1_51JYM_2022-10-01_final.stac-item
2022-10-07 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-10-07_final.stac-item
2022-11-06 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2022-11-06_final.stac-item
2022-11-17 11:02:03	ga_s2bm_ard_3-2-1_52KHG_2022-11-17_final.stac-item
2022-12-03 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2022-12-03_final.stac-item
2022-12-03 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2022-12-03_final.stac-item
2022-12-16 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2022-12-16_final.stac-item
2022-12-17 11:02:53	ga_s2bm_ard_3-2-1_53KKT_2022-12-17_final.stac-item
2022-12-18 10:33:01	ga_s2bm_ard_3-2-1_53KRS_2022-12-18_final.stac-item
2022-12-18 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2022-12-18_final.stac-item
2023-01-05 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2023-01-05_final.stac-item
2023-03-23 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2023-03-23_final.stac-item
2023-03-27 11:05:48	ga_s2bm_ard_3-2-1_52JEM_2023-03-27_final.stac-item
2023-04-07 10:31:53	ga_s2bm_ard_3-2-1_53KRB_2023-04-07_final.stac-item
2023-04-29 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-04-29_final.stac-item
2023-05-16 11:06:28	ga_s2bm_ard_3-2-1_52HBK_2023-05-16_final.stac-item
2023-06-04 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2023-06-04_final.stac-item
2023-06-04 11:35:45	ga_s2bm_ard_3-2-1_51JVH_2023-06-04_final.stac-item
2023-06-08 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2023-06-08_final.stac-item
2023-06-24 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-06-24_final.stac-item
2023-08-05 10:36:40	ga_s2bm_ard_3-2-1_53HNC_2023-08-05_final.stac-item
2023-09-09 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-09-09_final.stac-item
2023-10-31 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2023-10-31_final.stac-item
2023-11-15 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2023-11-15_final.stac-item
2023-12-08 11:22:23	ga_s2bm_ard_3-2-1_51KYA_2023-12-08_final.stac-item
2024-01-18 10:52:43	ga_s2bm_ard_3-2-1_53KKU_2024-01-18_final.stac-item
2024-01-22 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2024-01-22_final.stac-item
2024-01-24 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2024-01-24_final.stac-item
2024-04-09 11:31:04	ga_s2bm_ard_3-2-1_52LBL_2024-04-09_interim.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