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
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53HLD_2017-09-05_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLN_2017-09-22_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HUD_2017-09-30_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVR_2017-10-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYB_2017-12-29_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYT_2018-01-28_final
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52HBK_2018-04-22_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWR_2018-05-31_final
2018-06-29 10:26:13	ga_s2bm_ard_3-2-1_53HNC_2018-06-29_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KEV_2018-07-24_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52HBK_2018-08-10_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JNL_2018-09-01_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGK_2018-09-17_final
2018-11-07 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2018-11-07_final
2018-12-07 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-07_final
2018-12-07 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2018-12-07_final
2018-12-09 10:36:04	ga_s2bm_ard_3-2-1_53HME_2018-12-09_final
2019-04-09 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2019-04-09_final
2019-04-30 11:13:12	ga_s2bm_ard_3-2-1_52KDC_2019-04-30_final
2019-05-16 11:33:11	ga_s2bm_ard_3-2-1_51KYT_2019-05-16_final
2019-06-08 11:44:38	ga_s2bm_ard_3-2-1_50JRT_2019-06-08_final
2019-06-09 11:15:37	ga_s2bm_ard_3-2-1_51JXJ_2019-06-09_final
2019-07-22 11:23:43	ga_s2bm_ard_3-2-1_52KBA_2019-07-22_final
2019-08-14 11:33:09	ga_s2bm_ard_3-2-1_51KYT_2019-08-14_final
2019-08-28 11:13:16	ga_s2bm_ard_3-2-1_52KBC_2019-08-28_final
2019-08-28 11:13:23	ga_s2bm_ard_3-2-1_52KDB_2019-08-28_final
2019-09-16 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-09-16_final
2019-12-01 12:03:11	ga_s2bm_ard_3-2-1_50KNC_2019-12-01_final
2019-12-11 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2019-12-11_final
2020-01-07 11:53:37	ga_s2bm_ard_3-2-1_50KMB_2020-01-07_final
2020-02-27 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2020-02-27_final
2020-03-11 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2020-03-11_final
2020-03-18 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2020-03-18_final
2020-04-04 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2020-04-04_final
2020-04-14 11:13:03	ga_s2bm_ard_3-2-1_52KEB_2020-04-14_final
2020-04-16 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2020-04-16_final
2020-04-20 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-04-20_final
2020-04-22 10:36:05	ga_s2bm_ard_3-2-1_53HME_2020-04-22_final
2020-05-17 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2020-05-17_final
2020-05-23 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2020-05-23_final
2020-05-24 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2020-05-24_final
2020-05-26 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2020-05-26_final.stac-item
2020-06-02 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2020-06-02_final
2020-06-12 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-06-12_final
2020-06-19 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-06-19_final
2020-06-20 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2020-06-20_final
2020-08-01 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-08-01_final
2020-09-18 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2020-09-18_final
2020-10-30 11:44:34	ga_s2bm_ard_3-2-1_51JTN_2020-10-30_final
2020-11-11 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2020-11-11_final
2020-11-16 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-11-16_final
2020-12-10 11:13:52	ga_s2bm_ard_3-2-1_52KBV_2020-12-10_final
2021-03-23 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2021-03-23_final
2021-06-04 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-06-04_final
2021-06-14 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-06-14_final
2021-07-04 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-07-04_final
2021-07-11 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-07-11_final
2021-07-18 11:13:09	ga_s2bm_ard_3-2-1_52KCC_2021-07-18_final
2021-08-20 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-08-20_final
2021-10-22 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2021-10-22_final
2021-11-28 11:23:30	ga_s2bm_ard_3-2-1_52KBA_2021-11-28_final
2021-12-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-12-24_final
2022-01-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-23_final
2022-02-06 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2022-02-06_final
2022-02-19 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-19_final
2022-02-22 11:43:29	ga_s2bm_ard_3-2-1_51KUR_2022-02-22_final
2022-04-27 11:24:37	ga_s2bm_ard_3-2-1_51JWM_2022-04-27_final
2022-05-03 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-03_final
2022-05-24 11:13:28	ga_s2bm_ard_3-2-1_52KBB_2022-05-24_final
2022-05-30 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-05-30_final
2022-06-03 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2022-06-03_final
2022-06-13 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2022-06-13_final
2022-06-21 10:36:33	ga_s2bm_ard_3-2-1_53HLD_2022-06-21_final
2022-07-09 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-07-09_final
2022-08-11 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2022-08-11_final.stac-item
2022-08-31 11:43:48	ga_s2bm_ard_3-2-1_51KTR_2022-08-31_final
2022-09-04 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2022-09-04_final.stac-item
2022-09-17 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2022-09-17_final.stac-item
2022-10-01 11:15:38	ga_s2bm_ard_3-2-1_51JYH_2022-10-01_final.stac-item
2022-10-28 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2022-10-28_final.stac-item
2022-12-06 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-12-06_final.stac-item
2022-12-30 11:11:44	ga_s2bm_ard_3-2-1_52LFH_2022-12-30_final.stac-item
2023-04-08 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-04-08_final.stac-item
2023-05-09 11:10:40	ga_s2bm_ard_3-2-1_52LHM_2023-05-09_final.stac-item
2023-06-11 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-06-11_final.stac-item
2023-06-17 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2023-06-17_final.stac-item
2023-06-17 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-06-17_final.stac-item
2023-06-20 11:53:39	ga_s2bm_ard_3-2-1_50KPB_2023-06-20_final.stac-item
2023-07-15 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-07-15_final.stac-item
2023-08-02 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-08-02_final.stac-item
2023-08-20 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-08-20_final.stac-item
2023-08-23 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-08-23_final.stac-item
2023-10-08 11:57:15	ga_s2bm_ard_3-2-1_49HGC_2023-10-08_nrt.stac-item
2023-10-22 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2023-10-22_final.stac-item
2023-11-22 11:02:25	ga_s2bm_ard_3-2-1_52KGE_2023-11-22_final.stac-item
2023-11-24 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2023-11-24_final.stac-item
2023-12-21 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-12-21_final.stac-item
2024-01-30 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2024-01-30_final.stac-item
2024-01-31 11:00:59	ga_s2bm_ard_3-2-1_52LGL_2024-01-31_final.stac-item
2024-02-07 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2024-02-07_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