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
2017-08-05 11:00:30	ga_s2bm_ard_3-2-1_52JES_2017-08-05_final
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KUT_2017-08-07_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KPB_2017-09-09_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KXP_2017-09-30_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JQT_2017-12-15_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLT_2018-01-10_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KBG_2018-01-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KQE_2018-03-28_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KNA_2018-04-17_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPD_2018-05-07_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JNR_2018-06-16_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52JCT_2018-07-14_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KNU_2018-07-16_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JYM_2018-07-17_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KTQ_2018-08-22_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JNR_2018-08-25_final
2018-09-09 11:01:38	ga_s2bm_ard_3-2-1_52HDK_2018-09-09_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JLT_2018-09-27_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWS_2018-10-18_final
2019-01-15 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-15_final
2019-01-15 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-01-15_final
2019-01-19 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2019-01-19_final
2019-02-24 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2019-02-24_final
2019-02-28 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2019-02-28_final
2019-03-28 11:04:34	ga_s2bm_ard_3-2-1_52JES_2019-03-28_final
2019-05-14 10:55:50	ga_s2bm_ard_3-2-1_52JGM_2019-05-14_final
2019-06-03 10:56:04	ga_s2bm_ard_3-2-1_52JGL_2019-06-03_final
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final
2019-07-17 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-07-17_final
2019-07-31 11:55:18	ga_s2bm_ard_3-2-1_50JMR_2019-07-31_final
2019-08-10 11:53:13	ga_s2bm_ard_3-2-1_50KPD_2019-08-10_final.stac-item
2019-08-14 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2019-08-14_final
2019-08-14 11:35:54	ga_s2bm_ard_3-2-1_51JTH_2019-08-14_final
2019-09-29 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-09-29_final.stac-item
2019-10-09 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2019-10-09_final
2019-10-16 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2019-10-16_final
2019-10-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-10-30_final
2020-03-04 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2020-03-04_final
2020-03-24 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2020-03-24_final
2020-06-19 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-06-19_final
2020-06-22 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-06-22_final
2020-06-22 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-06-22_final
2020-07-15 11:53:55	ga_s2bm_ard_3-2-1_50KNA_2020-07-15_final
2020-08-31 11:43:36	ga_s2bm_ard_3-2-1_50KRB_2020-08-31_final
2020-08-31 11:44:23	ga_s2bm_ard_3-2-1_50KQU_2020-08-31_final
2020-09-13 11:55:08	ga_s2bm_ard_3-2-1_50JNR_2020-09-13_final
2020-11-24 10:55:42	ga_s2bm_ard_3-2-1_52JGM_2020-11-24_final
2020-11-29 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2020-11-29_final
2020-12-25 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2020-12-25_final
2020-12-25 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2020-12-25_final
2021-01-06 11:06:17	ga_s2bm_ard_3-2-1_52HDK_2021-01-06_final.stac-item
2021-02-12 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2021-02-12_final
2021-02-23 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-23_final
2021-03-22 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2021-03-22_final
2021-03-29 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2021-03-29_final
2021-05-08 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2021-05-08_final
2021-06-05 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2021-06-05_final
2021-06-30 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2021-06-30_final
2021-07-12 10:55:00	ga_s2bm_ard_3-2-1_52JGQ_2021-07-12_final
2021-07-17 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2021-07-17_final
2021-07-27 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2021-07-27_final
2021-08-06 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2021-08-06_final
2021-08-16 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2021-08-16_final
2021-08-19 11:54:22	ga_s2bm_ard_3-2-1_50KNU_2021-08-19_final
2021-08-29 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2021-08-29_final
2021-11-10 12:04:24	ga_s2bm_ard_3-2-1_50KLU_2021-11-10_final
2021-11-27 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2021-11-27_final
2021-12-30 12:04:06	ga_s2bm_ard_3-2-1_50KLV_2021-12-30_final
2022-01-19 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2022-01-19_final
2022-06-12 11:42:34	ga_s2bm_ard_3-2-1_51KUA_2022-06-12_final
2022-06-26 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2022-06-26_final
2022-07-08 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2022-07-08_final
2022-09-18 11:04:31	ga_s2bm_ard_3-2-1_52JFS_2022-09-18_final.stac-item
2022-09-28 11:05:05	ga_s2bm_ard_3-2-1_52JDQ_2022-09-28_final.stac-item
2022-10-24 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2022-10-24_final.stac-item
2022-11-02 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2022-11-02_final.stac-item
2022-11-22 11:54:22	ga_s2bm_ard_3-2-1_50KNU_2022-11-22_final.stac-item
2022-11-29 11:44:18	ga_s2bm_ard_3-2-1_50KQU_2022-11-29_final.stac-item
2022-11-30 11:16:54	ga_s2bm_ard_3-2-1_51HXC_2022-11-30_final.stac-item
2023-02-27 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2023-02-27_final.stac-item
2023-03-15 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2023-03-15_final.stac-item
2023-04-08 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2023-04-08_final.stac-item
2023-04-26 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2023-04-26_final.stac-item
2023-06-01 11:22:41	ga_s2bm_ard_3-2-1_51KZV_2023-06-01_final.stac-item
2023-07-14 11:31:32	ga_s2bm_ard_3-2-1_51LXE_2023-07-14_nrt.stac-item
2023-08-04 11:05:09	ga_s2bm_ard_3-2-1_52JDQ_2023-08-04_final.stac-item
2023-08-16 11:44:07	ga_s2bm_ard_3-2-1_51KTQ_2023-08-16_final.stac-item
2023-09-23 11:06:21	ga_s2bm_ard_3-2-1_52HDK_2023-09-23_final.stac-item
2023-10-05 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2023-10-05_final.stac-item
2023-10-05 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2023-10-05_final.stac-item
2023-10-18 11:55:08	ga_s2bm_ard_3-2-1_50JNR_2023-10-18_final.stac-item
2023-10-28 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2023-10-28_final.stac-item
2023-11-19 10:55:11	ga_s2bm_ard_3-2-1_52JGP_2023-11-19_final.stac-item
2023-11-20 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-11-20_final.stac-item
2024-01-03 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-01-03_final.stac-item
2024-01-23 11:42:01	ga_s2bm_ard_3-2-1_51LUC_2024-01-23_final.stac-item
2024-01-31 11:04:26	ga_s2bm_ard_3-2-1_52JFS_2024-01-31_final.stac-item
2024-03-07 11:22:03	ga_s2bm_ard_3-2-1_51KZB_2024-03-07_final.stac-item
2024-03-07 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2024-03-07_final.stac-item
2024-03-07 11:25:51	ga_s2bm_ard_3-2-1_51JWG_2024-03-07_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