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
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KTR_2017-08-07_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNL_2017-08-07_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52KCV_2017-09-17_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50JQR_2017-10-06_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50KRB_2017-10-06_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KDD_2017-11-16_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFC_2018-01-02_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JMM_2018-03-07_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KRU_2018-04-24_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUA_2018-05-04_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JMK_2018-05-06_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPA_2018-05-07_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JGP_2018-05-19_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53KQA_2018-10-13_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51JXL_2018-10-15_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXP_2018-11-04_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KYP_2018-11-04_final
2018-11-11 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2018-11-11_final.stac-item
2018-11-11 11:12:15	ga_s2bm_ard_3-2-1_52KEF_2018-11-11_final
2019-03-06 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-03-06_final
2019-03-18 11:05:00	ga_s2bm_ard_3-2-1_52JEQ_2019-03-18_final
2019-06-22 11:23:33	ga_s2bm_ard_3-2-1_51KYS_2019-06-22_final
2019-06-23 10:53:21	ga_s2bm_ard_3-2-1_53KKS_2019-06-23_final
2019-07-01 11:53:59	ga_s2bm_ard_3-2-1_50KPA_2019-07-01_final
2019-07-08 11:44:43	ga_s2bm_ard_3-2-1_50JQT_2019-07-08_final
2019-07-13 10:54:06	ga_s2bm_ard_3-2-1_53KKP_2019-07-13_final
2019-08-12 10:52:45	ga_s2bm_ard_3-2-1_53KMU_2019-08-12_final
2019-08-22 10:52:43	ga_s2bm_ard_3-2-1_53KMU_2019-08-22_final
2019-12-11 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2019-12-11_final
2019-12-20 10:53:23	ga_s2bm_ard_3-2-1_52KHA_2019-12-20_final
2020-02-18 10:53:53	ga_s2bm_ard_3-2-1_52KHU_2020-02-18_final
2020-03-09 10:53:55	ga_s2bm_ard_3-2-1_52KHU_2020-03-09_final
2020-04-17 11:22:03	ga_s2bm_ard_3-2-1_52KBG_2020-04-17_final
2020-04-27 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2020-04-27_final
2020-05-26 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2020-05-26_final.stac-item
2020-08-03 10:45:00	ga_s2bm_ard_3-2-1_53JLK_2020-08-03_final
2020-09-15 10:54:28	ga_s2bm_ard_3-2-1_53JKM_2020-09-15_final
2020-09-25 10:53:27	ga_s2bm_ard_3-2-1_53KLR_2020-09-25_final
2020-09-25 10:54:29	ga_s2bm_ard_3-2-1_53JKM_2020-09-25_final
2020-10-12 10:43:26	ga_s2bm_ard_3-2-1_53KNR_2020-10-12_final
2020-10-20 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-20_final
2020-10-21 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-10-21_final
2020-10-30 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2020-10-30_final
2021-01-01 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2021-01-01_final
2021-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2021-01-02_final
2021-01-08 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-01-08_final
2021-01-20 10:40:36	ga_s2bm_ard_3-2-1_53LQG_2021-01-20_final.stac-item
2021-03-02 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2021-03-02_final
2021-04-28 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-04-28_final
2021-07-07 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2021-07-07_final
2021-07-11 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2021-07-11_final
2021-07-22 10:55:01	ga_s2bm_ard_3-2-1_52JGQ_2021-07-22_final
2021-08-21 10:54:40	ga_s2bm_ard_3-2-1_53JKL_2021-08-21_final
2021-09-21 10:22:57	ga_s2bm_ard_3-2-1_54KVB_2021-09-21_final
2021-10-21 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2021-10-21_final
2021-11-14 11:43:46	ga_s2bm_ard_3-2-1_51KTR_2021-11-14_final
2021-12-01 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2021-12-01_final
2021-12-05 11:16:01	ga_s2bm_ard_3-2-1_52JBL_2021-12-05_final
2021-12-27 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2021-12-27_final
2022-01-05 10:42:50	ga_s2bm_ard_3-2-1_53KNT_2022-01-05_final
2022-03-01 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-03-01_final
2022-04-17 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-04-17_final
2022-05-03 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2022-05-03_final
2022-05-27 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2022-05-27_final
2022-06-13 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2022-06-13_final
2022-06-26 11:22:27	ga_s2bm_ard_3-2-1_52KBF_2022-06-26_final
2022-07-17 10:52:42	ga_s2bm_ard_3-2-1_53KMU_2022-07-17_final
2022-07-26 11:22:28	ga_s2bm_ard_3-2-1_51KZA_2022-07-26_final
2022-08-05 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2022-08-05_final
2022-09-05 10:52:39	ga_s2bm_ard_3-2-1_53KMU_2022-09-05_final.stac-item
2022-09-18 11:01:48	ga_s2bm_ard_3-2-1_52LGH_2022-09-18_final.stac-item
2022-09-20 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2022-09-20_final.stac-item
2022-09-21 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2022-09-21_final.stac-item
2022-11-07 11:05:03	ga_s2bm_ard_3-2-1_52JDQ_2022-11-07_final.stac-item
2022-11-24 10:54:40	ga_s2bm_ard_3-2-1_53JKL_2022-11-24_final.stac-item
2023-02-13 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2023-02-13_final.stac-item
2023-02-15 11:04:13	ga_s2bm_ard_3-2-1_52JFT_2023-02-15_final.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-05-24_final.stac-item
2023-05-24 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-05-24_final.stac-item
2023-05-29 11:14:54	ga_s2bm_ard_3-2-1_52JCR_2023-05-29_final.stac-item
2023-06-17 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2023-06-17_final.stac-item
2023-07-10 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2023-07-10_final.stac-item
2023-07-12 10:53:33	ga_s2bm_ard_3-2-1_52KHA_2023-07-12_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-07-13_final.stac-item
2023-07-16 10:34:27	ga_s2bm_ard_3-2-1_53JPM_2023-07-16_final.stac-item
2023-08-12 12:04:19	ga_s2bm_ard_3-2-1_50KKV_2023-08-12_final.stac-item
2023-08-26 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-08-26_final.stac-item
2023-09-01 12:00:42	ga_s2bm_ard_3-2-1_50LPP_2023-09-01_nrt.stac-item
2023-10-13 11:02:14	ga_s2bm_ard_3-2-1_52KHF_2023-10-13_final.stac-item
2023-10-18 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2023-10-18_final.stac-item
2023-10-30 10:52:58	ga_s2bm_ard_3-2-1_53KLT_2023-10-30_final.stac-item
2023-11-09 10:50:08	ga_s2bm_ard_3-2-1_53LPJ_2023-11-09_nrt.stac-item
2023-11-27 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2023-11-27_final.stac-item
2023-12-12 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2023-12-12_final.stac-item
2023-12-17 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2023-12-17_final.stac-item
2024-01-11 11:04:16	ga_s2bm_ard_3-2-1_52JET_2024-01-11_final.stac-item
2024-01-16 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2024-01-16_final.stac-item
2024-01-19 12:00:54	ga_s2bm_ard_3-2-1_50LNN_2024-01-19_nrt.stac-item
2024-04-06 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2024-04-06_final.stac-item
2024-04-13 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2024-04-13_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