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
2017-09-28 10:42:52	ga_s2bm_ard_3-2-1_53KPP_2017-09-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLP_2017-11-28_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HXE_2018-01-15_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JKN_2018-01-17_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXS_2018-01-28_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51LZD_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HTC_2018-02-20_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52HBK_2018-05-15_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JCM_2018-05-25_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNC_2018-06-06_final
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53JPN_2018-06-12_final
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HYJ_2018-07-23_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HXE_2018-10-05_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52KFA_2018-10-09_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HMH_2018-10-14_final
2018-11-20 10:06:46	ga_s2bm_ard_3-2-1_54HYF_2018-11-20_final
2019-03-08 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2019-03-08_final
2019-04-08 10:34:11	ga_s2bm_ard_3-2-1_53JPN_2019-04-08_final
2019-04-09 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2019-04-09_final
2019-06-14 10:25:31	ga_s2bm_ard_3-2-1_54JVM_2019-06-14_final
2019-06-30 10:44:37	ga_s2bm_ard_3-2-1_53JPL_2019-06-30_final
2019-08-14 11:36:06	ga_s2bm_ard_3-2-1_51JUG_2019-08-14_final
2019-08-15 11:06:16	ga_s2bm_ard_3-2-1_52JBL_2019-08-15_final
2019-08-24 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2019-08-24_final
2019-09-30 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2019-09-30_final
2019-10-13 09:57:09	ga_s2bm_ard_3-2-1_54HYE_2019-10-13_final
2019-10-29 10:14:11	ga_s2bm_ard_3-2-1_54JXS_2019-10-29_final
2020-01-12 11:04:30	ga_s2bm_ard_3-2-1_52JDS_2020-01-12_final
2020-02-01 11:04:40	ga_s2bm_ard_3-2-1_52JER_2020-02-01_final
2020-02-25 10:44:00	ga_s2bm_ard_3-2-1_53JPN_2020-02-25_final
2020-03-14 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2020-03-14_final
2020-03-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-17_final
2020-03-31 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2020-03-31_final
2020-05-30 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2020-05-30_final
2020-06-05 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-06-05_final
2020-08-05 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2020-08-05_final
2020-08-07 10:24:01	ga_s2bm_ard_3-2-1_54JVT_2020-08-07_final
2020-11-06 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2020-11-06_final
2020-12-05 10:25:33	ga_s2bm_ard_3-2-1_53JQG_2020-12-05_final
2020-12-05 10:26:29	ga_s2bm_ard_3-2-1_54HTH_2020-12-05_final
2020-12-10 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2020-12-10_final
2020-12-17 11:00:50	ga_s2bm_ard_3-2-1_53LLF_2020-12-17_final
2020-12-21 10:41:41	ga_s2bm_ard_3-2-1_53KRB_2020-12-21_final
2020-12-30 11:11:10	ga_s2bm_ard_3-2-1_52LGK_2020-12-30_final
2021-01-06 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2021-01-06_final
2021-01-15 11:35:33	ga_s2bm_ard_3-2-1_51JTJ_2021-01-15_final
2021-02-01 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2021-02-01_final
2021-02-25 11:00:27	ga_s2bm_ard_3-2-1_53LKH_2021-02-25_final
2021-03-19 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-03-19_final
2021-03-23 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2021-03-23_final
2021-04-11 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-04-11_final
2021-05-05 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2021-05-05_final
2021-05-05 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2021-05-05_final
2021-05-10 10:43:46	ga_s2bm_ard_3-2-1_53KPP_2021-05-10_final
2021-05-10 10:44:01	ga_s2bm_ard_3-2-1_53JPN_2021-05-10_final
2021-06-03 12:03:53	ga_s2bm_ard_3-2-1_50KMA_2021-06-03_final
2021-06-12 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2021-06-12_final
2021-06-21 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-06-21_final
2021-08-09 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2021-08-09_final
2021-09-20 10:53:46	ga_s2bm_ard_3-2-1_53KMP_2021-09-20_final
2021-09-21 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2021-09-21_final
2021-09-28 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-09-28_final
2021-10-02 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2021-10-02_final
2021-11-01 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-11-01_final
2021-11-04 10:06:11	ga_s2bm_ard_3-2-1_54HXJ_2021-11-04_final
2021-11-20 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2021-11-20_final
2022-03-01 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2022-03-01_final
2022-04-03 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2022-04-03_final
2022-04-03 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-04-03_final
2022-04-15 10:43:59	ga_s2bm_ard_3-2-1_53JPN_2022-04-15_final
2022-05-30 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-05-30_final
2022-06-08 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2022-06-08_final
2022-06-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-06-19_final
2022-07-26 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2022-07-26_final
2022-08-04 10:15:31	ga_s2bm_ard_3-2-1_54JWM_2022-08-04_final.stac-item
2022-09-03 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2022-09-03_final.stac-item
2022-11-21 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2022-11-21_final.stac-item
2022-12-16 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2022-12-16_final.stac-item
2022-12-22 10:14:38	ga_s2bm_ard_3-2-1_54JXQ_2022-12-22_final.stac-item
2023-01-26 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2023-01-26_final.stac-item
2023-02-12 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2023-02-12_final.stac-item
2023-02-14 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2023-02-14_final.stac-item
2023-04-15 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-04-15_final.stac-item
2023-05-15 11:35:45	ga_s2bm_ard_3-2-1_51JVH_2023-05-15_final.stac-item
2023-05-31 10:17:04	ga_s2bm_ard_3-2-1_54HUF_2023-05-31_final.stac-item
2023-07-06 10:36:30	ga_s2bm_ard_3-2-1_53HMD_2023-07-06_final.stac-item
2023-07-24 11:33:19	ga_s2bm_ard_3-2-1_51KWT_2023-07-24_final.stac-item
2023-07-30 10:14:45	ga_s2bm_ard_3-2-1_54JYQ_2023-07-30_final.stac-item
2023-08-03 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-08-03_final.stac-item
2023-11-02 11:03:25	ga_s2bm_ard_3-2-1_52KHA_2023-11-02_final.stac-item
2024-01-18 10:51:24	ga_s2bm_ard_3-2-1_53LMD_2024-01-18_final.stac-item
2024-01-20 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2024-01-20_final.stac-item
2024-03-06 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2024-03-06_final.stac-item
2024-03-07 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2024-03-07_final.stac-item
2024-03-08 10:51:16	ga_s2bm_ard_3-2-1_53LND_2024-03-08_final.stac-item
2024-03-11 11:00:54	ga_s2bm_ard_3-2-1_53LKF_2024-03-11_final.stac-item
2024-03-13 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2024-03-13_final.stac-item
2024-03-13 11:46:23	ga_s2bm_ard_3-2-1_50JML_2024-03-13_final.stac-item
2024-03-24 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2024-03-24_final.stac-item
2024-03-31 11:01:26	ga_s2bm_ard_3-2-1_53LKD_2024-03-31_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