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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KKA_2017-07-24_final
2017-10-02 12:03:32	ga_s2bm_ard_3-2-1_50KKA_2017-10-02_final
2017-10-15 12:13:29	ga_s2bm_ard_3-2-1_49KGR_2017-10-15_final
2017-12-20 10:53:02	ga_s2bm_ard_3-2-1_52KHU_2017-12-20_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JEP_2018-02-01_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-02-09_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JWL_2018-02-10_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2018-05-08_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52KCA_2018-05-15_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_51KZR_2018-06-04_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KWB_2018-06-13_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPK_2018-06-30_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_51KZR_2018-07-14_final
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KHC_2018-07-21_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_52JGM_2018-09-03_final
2019-01-03 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2019-01-03_final
2019-01-04 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2019-01-04_final
2019-01-19 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-01-19_final
2019-01-22 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-01-22_final
2019-01-29 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-01-29_final
2019-02-25 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-02-25_final
2019-03-27 11:32:32	ga_s2bm_ard_3-2-1_51KXA_2019-03-27_final
2019-05-09 11:42:20	ga_s2bm_ard_3-2-1_51KVB_2019-05-09_final
2019-05-20 11:14:32	ga_s2bm_ard_3-2-1_52JBT_2019-05-20_final
2019-06-08 11:42:21	ga_s2bm_ard_3-2-1_51KVB_2019-06-08_final
2019-06-15 11:32:51	ga_s2bm_ard_3-2-1_51KWV_2019-06-15_final
2019-07-26 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-26_final
2019-08-04 11:32:37	ga_s2bm_ard_3-2-1_51KWA_2019-08-04_final
2019-09-11 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2019-09-11_final
2019-10-02 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-10-02_final
2019-10-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-13_final
2019-11-16 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2019-11-16_final
2019-11-16 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2019-11-16_final
2019-12-14 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-14_final
2019-12-22 11:36:56	ga_s2bm_ard_3-2-1_51HTC_2019-12-22_final
2019-12-29 11:25:52	ga_s2bm_ard_3-2-1_51JWG_2019-12-29_final
2020-01-15 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2020-01-15_final
2020-03-11 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-03-11_final
2020-05-04 11:13:33	ga_s2bm_ard_3-2-1_52KCA_2020-05-04_final
2020-05-30 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-05-30_final
2020-07-03 11:13:06	ga_s2bm_ard_3-2-1_52KDC_2020-07-03_final
2020-08-19 11:02:58	ga_s2bm_ard_3-2-1_52KHC_2020-08-19_final
2020-09-24 11:23:09	ga_s2bm_ard_3-2-1_52KBC_2020-09-24_final
2020-09-27 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2020-09-27_final
2020-10-11 11:14:13	ga_s2bm_ard_3-2-1_52KBU_2020-10-11_final
2020-10-30 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-10-30_final
2020-11-10 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2020-11-10_final
2020-11-23 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2020-11-23_final
2021-02-02 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2021-02-02_final
2021-02-23 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-02-23_final
2021-03-09 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-03-09_final
2021-03-09 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2021-03-09_final
2021-03-30 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-30_final
2021-04-05 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2021-04-05_final
2021-05-18 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-05-18_final.stac-item
2021-06-07 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-06-07_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-07-05 11:04:57	ga_s2bm_ard_3-2-1_52JCR_2021-07-05_final
2021-08-16 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2021-08-16_final
2021-10-06 11:13:57	ga_s2bm_ard_3-2-1_52KEU_2021-10-06_final
2021-11-13 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-11-13_final
2022-03-11 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2022-03-11_final
2022-03-14 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-14_final
2022-03-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-03-14_final
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final
2022-04-10 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2022-04-10_final
2022-04-17 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2022-04-17_final
2022-04-24 11:13:02	ga_s2bm_ard_3-2-1_52KCC_2022-04-24_final
2022-05-07 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2022-05-07_final
2022-05-30 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2022-05-30_final
2022-06-17 10:55:21	ga_s2bm_ard_3-2-1_52JFP_2022-06-17_final
2022-07-05 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-05_final
2022-07-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-07-19_final
2022-08-01 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2022-08-01_final
2022-08-08 11:32:54	ga_s2bm_ard_3-2-1_51KYU_2022-08-08_final
2022-08-12 11:15:22	ga_s2bm_ard_3-2-1_52JCP_2022-08-12_final
2022-11-03 11:23:00	ga_s2bm_ard_3-2-1_52KCC_2022-11-03_final.stac-item
2022-11-03 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2022-11-03_final.stac-item
2022-11-03 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2022-11-03_final.stac-item
2022-11-13 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2022-11-13_final.stac-item
2022-11-29 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-11-29_final.stac-item
2022-11-30 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2022-11-30_final.stac-item
2022-12-19 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-12-19_final.stac-item
2023-01-29 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2023-01-29_final.stac-item
2023-02-11 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2023-02-11_final.stac-item
2023-05-28 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-05-28_final.stac-item
2023-06-04 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-06-04_final.stac-item
2023-06-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-10_final.stac-item
2023-06-14 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-06-14_final.stac-item
2023-06-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-06-17_final.stac-item
2023-08-22 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-08-22_final.stac-item
2023-09-05 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-09-05_final.stac-item
2023-09-11 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-09-11_final.stac-item
2023-10-11 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final.stac-item
2023-12-15 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2023-12-15_final.stac-item
2023-12-28 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2023-12-28_final.stac-item
2024-02-23 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2024-02-23_final.stac-item
2024-02-25 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-02-25_final.stac-item
2024-03-23 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2024-03-23_final.stac-item
2024-05-03 11:13:45	ga_s2bm_ard_3-2-1_52KEV_2024-05-03_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