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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KWQ_2017-07-12_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KKB_2017-07-24_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYF_2017-08-28_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-09-22_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVB_2017-10-26_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYN_2017-11-06_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HPH_2018-03-15_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KEB_2018-04-05_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWU_2018-05-01_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KUB_2018-07-13_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KXS_2018-08-09_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWR_2018-08-19_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWT_2018-08-29_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KCD_2018-09-02_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HQG_2018-09-28_final.stac-item
2019-01-28 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2019-01-28_final
2019-02-15 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-02-15_final
2019-03-11 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2019-03-11_final
2019-04-07 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2019-04-07_final
2019-04-16 11:33:08	ga_s2bm_ard_3-2-1_51KYT_2019-04-16_final
2019-04-25 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-25_final
2019-05-13 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-05-13_final
2019-06-21 11:54:04	ga_s2bm_ard_3-2-1_50KMA_2019-06-21_final
2019-06-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-06-27_final
2019-08-23 10:26:52	ga_s2bm_ard_3-2-1_53HQB_2019-08-23_final
2019-09-16 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-09-16_final
2019-11-19 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2019-11-19_final
2020-01-15 11:10:27	ga_s2bm_ard_3-2-1_52LFN_2020-01-15_final.stac-item
2020-01-16 10:45:38	ga_s2bm_ard_3-2-1_53JKG_2020-01-16_final
2020-02-10 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-02-10_final
2020-03-05 11:13:45	ga_s2bm_ard_3-2-1_52KDV_2020-03-05_final
2020-03-21 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-03-21_final
2020-04-01 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2020-04-01_final
2020-04-01 11:04:08	ga_s2bm_ard_3-2-1_52JGT_2020-04-01_final
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final
2020-04-14 11:15:18	ga_s2bm_ard_3-2-1_52JBP_2020-04-14_final
2020-04-30 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-04-30_final
2020-05-10 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-05-10_final
2020-05-10 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-05-10_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-06-16 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-06-16_final
2020-06-18 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2020-06-18_final
2020-06-19 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-06-19_final
2020-07-16 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2020-07-16_final
2020-08-08 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2020-08-08_final
2020-08-20 10:36:32	ga_s2bm_ard_3-2-1_53HLD_2020-08-20_final
2020-09-10 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-09-10_final
2020-09-16 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-09-16_final
2020-11-09 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-11-09_final
2020-11-23 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2020-11-23_final
2021-02-27 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-02-27_final
2021-03-07 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2021-03-07_final
2021-03-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-03-12_final
2021-04-29 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2021-04-29_final
2021-04-29 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2021-04-29_final
2021-05-21 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2021-05-21_final
2021-06-07 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-07_final
2021-07-17 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2021-07-17_final
2021-08-09 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-08-09_final.stac-item
2021-09-08 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-08_final
2021-10-26 11:11:03	ga_s2bm_ard_3-2-1_52LFL_2021-10-26_final
2021-10-26 11:13:15	ga_s2bm_ard_3-2-1_52KBC_2021-10-26_final
2021-12-11 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-11_final
2022-02-26 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-02-26_final
2022-03-09 10:55:37	ga_s2bm_ard_3-2-1_53JKG_2022-03-09_final
2022-03-24 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2022-03-24_final.stac-item
2022-04-24 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2022-04-24_final
2022-05-27 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2022-05-27_final
2022-06-29 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2022-06-29_final
2022-08-25 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2022-08-25_final
2022-09-03 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2022-09-03_final.stac-item
2022-09-07 11:35:21	ga_s2bm_ard_3-2-1_51JWJ_2022-09-07_final.stac-item
2022-09-18 11:02:56	ga_s2bm_ard_3-2-1_52KHC_2022-09-18_final.stac-item
2022-09-21 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2022-09-21_final.stac-item
2022-12-16 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2022-12-16_final.stac-item
2022-12-16 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2022-12-16_final.stac-item
2022-12-31 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2022-12-31_final.stac-item
2023-01-12 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2023-01-12_final.stac-item
2023-01-27 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-01-27_final.stac-item
2023-02-01 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2023-02-01_final.stac-item
2023-02-25 11:01:17	ga_s2bm_ard_3-2-1_52LGK_2023-02-25_final.stac-item
2023-02-26 10:36:17	ga_s2bm_ard_3-2-1_53HLE_2023-02-26_final.stac-item
2023-03-03 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-03-03_final.stac-item
2023-03-13 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2023-03-13_final.stac-item
2023-04-23 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2023-04-23_final.stac-item
2023-05-28 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-05-28_final.stac-item
2023-06-28 11:11:56	ga_s2bm_ard_3-2-1_52LDH_2023-06-28_final.stac-item
2023-07-21 11:24:21	ga_s2bm_ard_3-2-1_51KWP_2023-07-21_final.stac-item
2023-07-28 11:13:42	ga_s2bm_ard_3-2-1_52KCA_2023-07-28_final.stac-item
2023-08-20 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2023-08-20_final.stac-item
2023-09-15 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-09-15_final.stac-item
2023-10-30 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2023-10-30_final.stac-item
2023-11-05 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2023-11-05_final.stac-item
2023-12-24 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-12-24_final.stac-item
2024-01-30 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2024-01-30_final.stac-item
2024-02-06 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-02-06_final.stac-item
2024-03-14 11:15:03	ga_s2bm_ard_3-2-1_51JYK_2024-03-14_final.stac-item
2024-03-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-03-20_final.stac-item
2024-04-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-04-15_final.stac-item
2024-04-23 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2024-04-23_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