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
2017-08-28 11:07:07	ga_s2bm_ard_3-2-1_52LFN_2017-08-28_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2017-11-01_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWB_2017-11-22_final
2017-12-06 11:07:01	ga_s2bm_ard_3-2-1_52LHN_2017-12-06_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWQ_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KYT_2018-01-11_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KZU_2018-02-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KLB_2018-04-10_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KEV_2018-05-12_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_52KCB_2018-06-07_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KDA_2018-06-14_final
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HQC_2018-06-19_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQH_2018-06-30_final
2018-09-11 11:39:50	ga_s2bm_ard_3-2-1_51LWC_2018-09-11_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPJ_2018-10-11_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLJ_2018-10-14_final
2019-01-16 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-01-16_final
2019-02-19 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2019-02-19_final
2019-03-14 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2019-03-14_final
2019-03-24 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-03-24_final
2019-04-18 10:36:34	ga_s2bm_ard_3-2-1_53HLD_2019-04-18_final
2019-06-08 11:44:06	ga_s2bm_ard_3-2-1_51KUQ_2019-06-08_final
2019-06-27 10:36:26	ga_s2bm_ard_3-2-1_53HPD_2019-06-27_final
2019-07-29 11:13:45	ga_s2bm_ard_3-2-1_52KCA_2019-07-29_final
2019-08-09 10:42:43	ga_s2bm_ard_3-2-1_53KPU_2019-08-09_final
2019-10-26 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2019-10-26_final
2019-11-14 10:34:31	ga_s2bm_ard_3-2-1_53JQL_2019-11-14_final
2019-11-21 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2019-11-21_final
2019-12-03 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2019-12-03_final
2020-01-03 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2020-01-03_final
2020-01-06 10:41:40	ga_s2bm_ard_3-2-1_53KRB_2020-01-06_final
2020-01-12 11:03:11	ga_s2bm_ard_3-2-1_52KFB_2020-01-12_final
2020-01-26 10:41:48	ga_s2bm_ard_3-2-1_53KNB_2020-01-26_final
2020-02-14 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2020-02-14_final
2020-04-04 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2020-04-04_final
2020-04-10 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2020-04-10_final
2020-04-24 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2020-04-24_final
2020-05-21 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2020-05-21_final
2020-06-13 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2020-06-13_final
2020-08-17 10:24:07	ga_s2bm_ard_3-2-1_53JRN_2020-08-17_final
2020-09-11 11:10:40	ga_s2bm_ard_3-2-1_52LHM_2020-09-11_final
2020-09-20 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-09-20_final.stac-item
2020-10-17 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2020-10-17_final
2020-12-15 10:24:00	ga_s2bm_ard_3-2-1_53JRN_2020-12-15_final
2020-12-16 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2020-12-16_final
2020-12-26 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2020-12-26_final
2020-12-30 11:14:36	ga_s2bm_ard_3-2-1_52JBS_2020-12-30_final
2021-02-07 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-02-07_final
2021-03-27 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2021-03-27_final
2021-04-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-04-15_final
2021-05-22 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-05-22_final
2021-06-01 11:22:05	ga_s2bm_ard_3-2-1_52KCG_2021-06-01_final
2021-06-08 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2021-06-08_final
2021-06-11 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-06-11_final
2021-06-24 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2021-06-24_final
2021-07-21 11:22:29	ga_s2bm_ard_3-2-1_51KYA_2021-07-21_final
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final
2021-08-14 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2021-08-14_final
2021-10-24 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2021-10-24_final
2021-10-25 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-10-25_final
2021-11-05 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2021-11-05_final
2021-11-18 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2021-11-18_final
2021-11-23 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2021-11-23_final
2022-01-15 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2022-01-15_final
2022-01-27 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2022-01-27_final
2022-03-10 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2022-03-10_final
2022-04-24 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2022-04-24_final
2022-06-13 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2022-06-13_final
2022-06-21 10:32:41	ga_s2bm_ard_3-2-1_53KQU_2022-06-21_final
2022-06-24 10:42:51	ga_s2bm_ard_3-2-1_53KQT_2022-06-24_final
2022-09-10 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2022-09-10_final.stac-item
2022-09-27 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2022-09-27_final.stac-item
2022-12-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-12-02_final.stac-item
2022-12-28 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2022-12-28_final.stac-item
2023-01-11 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2023-01-11_final.stac-item
2023-01-18 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2023-01-18_final.stac-item
2023-02-09 10:42:34	ga_s2bm_ard_3-2-1_53KPU_2023-02-09_final.stac-item
2023-02-09 10:44:33	ga_s2bm_ard_3-2-1_53JNL_2023-02-09_final.stac-item
2023-02-13 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2023-02-13_final.stac-item
2023-04-14 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2023-04-14_final.stac-item
2023-04-15 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-04-15_final.stac-item
2023-04-18 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-04-18_final.stac-item
2023-05-18 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-05-18_final.stac-item
2023-06-18 11:14:28	ga_s2bm_ard_3-2-1_52JBT_2023-06-18_final.stac-item
2023-07-09 10:43:30	ga_s2bm_ard_3-2-1_53KQQ_2023-07-09_final.stac-item
2023-07-28 11:14:15	ga_s2bm_ard_3-2-1_51KZP_2023-07-28_final.stac-item
2023-07-28 11:15:30	ga_s2bm_ard_3-2-1_51JYJ_2023-07-28_final.stac-item
2023-09-02 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-09-02_final.stac-item
2023-10-01 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2023-10-01_final.stac-item
2023-10-06 11:13:22	ga_s2bm_ard_3-2-1_52KCB_2023-10-06_final.stac-item
2023-10-09 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2023-10-09_final.stac-item
2023-10-10 10:54:17	ga_s2bm_ard_3-2-1_52JFT_2023-10-10_final.stac-item
2023-10-12 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-10-12_final.stac-item
2023-10-20 10:50:44	ga_s2bm_ard_3-2-1_53LMG_2023-10-20_final.stac-item
2023-10-22 11:34:38	ga_s2bm_ard_3-2-1_51JTN_2023-10-22_final.stac-item
2023-11-08 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-11-08_final.stac-item
2023-11-25 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2023-11-25_final.stac-item
2024-01-25 10:42:28	ga_s2bm_ard_3-2-1_53KPV_2024-01-25_final.stac-item
2024-03-23 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-03-23_final.stac-item
2024-04-13 11:11:52	ga_s2bm_ard_3-2-1_52LDH_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