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
2017-08-04 09:58:02	ga_s2bm_ard_3-2-1_54GYA_2017-08-04_final
2017-08-19 10:43:04	ga_s2bm_ard_3-2-1_53JNN_2017-08-19_final
2017-09-25 10:26:54	ga_s2bm_ard_3-2-1_54KTG_2017-09-25_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_50JQL_2017-11-02_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXV_2017-12-12_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51JTH_2018-01-14_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVG_2018-01-31_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HUD_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52JBN_2018-02-24_final
2018-03-03 11:05:35	ga_s2bm_ard_3-2-1_52JEM_2018-03-03_final
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53KRQ_2018-06-12_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_51HXE_2018-06-14_final
2018-06-29 10:26:13	ga_s2bm_ard_3-2-1_54HUJ_2018-06-29_final
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LPF_2018-08-07_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50JRT_2018-09-08_final
2018-10-29 10:57:13	ga_s2bm_ard_3-2-1_52LHN_2018-10-29_final
2018-11-03 10:13:24	ga_s2bm_ard_3-2-1_53HQB_2018-11-03_final
2018-12-04 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2018-12-04_final
2019-01-05 10:25:33	ga_s2bm_ard_3-2-1_54JVL_2019-01-05_final
2019-03-13 11:55:21	ga_s2bm_ard_3-2-1_50JMQ_2019-03-13_final
2019-04-06 09:58:09	ga_s2bm_ard_3-2-1_54GYA_2019-04-06_final
2019-04-13 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2019-04-13_final
2019-05-27 11:06:08	ga_s2bm_ard_3-2-1_52JEL_2019-05-27_final
2019-07-01 10:17:12	ga_s2bm_ard_3-2-1_54HWE_2019-07-01_final
2019-07-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-07-04_final
2019-08-08 11:14:30	ga_s2bm_ard_3-2-1_51JZN_2019-08-08_final
2019-09-29 10:17:26	ga_s2bm_ard_3-2-1_54HVD_2019-09-29_final
2019-10-02 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-02_final
2020-01-18 11:25:39	ga_s2bm_ard_3-2-1_51JVH_2020-01-18_final
2020-03-01 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-03-01_final
2020-04-01 11:06:00	ga_s2bm_ard_3-2-1_52JDL_2020-04-01_final
2020-05-04 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2020-05-04_final
2020-06-04 10:44:18	ga_s2bm_ard_3-2-1_53JPM_2020-06-04_final
2020-06-30 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2020-06-30_final
2020-08-02 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-08-02_final
2020-08-12 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2020-08-12_final
2020-09-17 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2020-09-17_final
2020-10-23 10:16:02	ga_s2bm_ard_3-2-1_54HVK_2020-10-23_final
2020-11-04 10:52:36	ga_s2bm_ard_3-2-1_53KNU_2020-11-04_final
2020-11-21 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2020-11-21_final
2020-12-10 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2020-12-10_final
2020-12-20 11:15:29	ga_s2bm_ard_3-2-1_52JCN_2020-12-20_final
2020-12-21 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2020-12-21_final
2020-12-27 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2020-12-27_final
2021-02-01 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-02-01_final
2021-02-01 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-02-01_final
2021-02-23 10:20:47	ga_s2bm_ard_3-2-1_54LZK_2021-02-23_final
2021-02-27 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-02-27_final
2021-04-14 10:20:45	ga_s2bm_ard_3-2-1_54LZK_2021-04-14_final
2021-05-20 10:45:26	ga_s2bm_ard_3-2-1_53JLH_2021-05-20_final
2021-05-24 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2021-05-24_final
2021-06-03 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-06-03_final
2021-06-03 12:04:19	ga_s2bm_ard_3-2-1_50KMU_2021-06-03_final
2021-06-23 10:24:46	ga_s2bm_ard_3-2-1_54JUQ_2021-06-23_final
2021-07-04 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-07-04_final
2021-07-19 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2021-07-19_final
2021-07-28 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2021-07-28_final
2021-07-30 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2021-07-30_final
2021-08-06 10:06:41	ga_s2bm_ard_3-2-1_54HXG_2021-08-06_final
2021-08-10 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2021-08-10_final
2021-09-12 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2021-09-12_final
2021-10-06 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2021-10-06_final
2021-10-06 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2021-10-06_final
2021-11-09 10:55:49	ga_s2bm_ard_3-2-1_52JEM_2021-11-09_final
2021-11-10 10:26:27	ga_s2bm_ard_3-2-1_54HUH_2021-11-10_final
2022-01-06 10:16:30	ga_s2bm_ard_3-2-1_54HTH_2022-01-06_final
2022-01-25 10:44:11	ga_s2bm_ard_3-2-1_53JPM_2022-01-25_final
2022-02-02 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-02-02_final
2022-02-04 10:41:37	ga_s2bm_ard_3-2-1_54KTG_2022-02-04_final
2022-04-12 10:31:06	ga_s2bm_ard_3-2-1_54LWJ_2022-04-12_final
2022-04-13 11:45:43	ga_s2bm_ard_3-2-1_50JNP_2022-04-13_final
2022-04-26 10:14:51	ga_s2bm_ard_3-2-1_54JWP_2022-04-26_final
2022-05-01 11:04:18	ga_s2bm_ard_3-2-1_52JGS_2022-05-01_final
2022-06-30 11:01:22	ga_s2bm_ard_3-2-1_52LGK_2022-06-30_final
2022-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-09-19_final.stac-item
2022-09-26 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-09-26_final.stac-item
2022-09-27 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2022-09-27_final.stac-item
2022-10-01 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2022-10-01_final.stac-item
2022-10-06 10:19:35	ga_s2bm_ard_3-2-1_54LZQ_2022-10-06_final.stac-item
2022-10-18 11:01:02	ga_s2bm_ard_3-2-1_52LGL_2022-10-18_final.stac-item
2022-10-18 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2022-10-18_final.stac-item
2022-10-23 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-10-23_final.stac-item
2022-11-08 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2022-11-08_final.stac-item
2022-11-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-11-29_final.stac-item
2022-12-23 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-12-23_final.stac-item
2023-01-06 11:03:06	ga_s2bm_ard_3-2-1_53KKS_2023-01-06_final.stac-item
2023-01-11 10:13:19	ga_s2bm_ard_3-2-1_54KYV_2023-01-11_final.stac-item
2023-01-29 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2023-01-29_final.stac-item
2023-02-24 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2023-02-24_final.stac-item
2023-04-28 10:07:38	ga_s2bm_ard_3-2-1_54HXC_2023-04-28_final.stac-item
2023-07-03 12:05:57	ga_s2bm_ard_3-2-1_50JLN_2023-07-03_final.stac-item
2023-07-28 11:13:54	ga_s2bm_ard_3-2-1_52KDV_2023-07-28_final.stac-item
2023-09-08 10:17:09	ga_s2bm_ard_3-2-1_53HQA_2023-09-08_final.stac-item
2023-09-22 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2023-09-22_final.stac-item
2023-11-27 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2023-11-27_final.stac-item
2023-11-29 10:52:56	ga_s2bm_ard_3-2-1_52KHC_2023-11-29_final.stac-item
2023-12-11 11:31:05	ga_s2bm_ard_3-2-1_52LBL_2023-12-11_nrt.stac-item
2024-02-15 11:57:13	ga_s2bm_ard_3-2-1_50HKH_2024-02-15_nrt.stac-item
2024-03-10 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2024-03-10_final.stac-item
2024-03-19 10:19:58	ga_s2bm_ard_3-2-1_54LXP_2024-03-19_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