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
2017-07-06 11:02:11	ga_s2bm_ard_3-2-1_53KKV_2017-07-06_final
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HUG_2017-10-22_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53KQU_2017-11-27_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUD_2017-11-29_final
2018-01-16 10:37:19	ga_s2bm_ard_3-2-1_53KQR_2018-01-16_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53KMV_2018-01-19_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HWD_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LYC_2018-01-31_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HXE_2018-02-04_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVF_2018-02-07_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KQU_2018-02-15_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JXH_2018-02-24_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54KYF_2018-03-01_final
2018-04-27 10:07:03	ga_s2bm_ard_3-2-1_54KWV_2018-04-27_final
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_54JXP_2018-06-26_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWT_2018-08-09_final
2018-09-15 09:46:25	ga_s2bm_ard_3-2-1_54HYC_2018-09-15_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HUE_2018-10-18_final
2019-04-09 10:06:50	ga_s2bm_ard_3-2-1_54HVG_2019-04-09_final
2019-05-10 11:15:45	ga_s2bm_ard_3-2-1_52JBN_2019-05-10_final
2019-05-14 10:52:42	ga_s2bm_ard_3-2-1_53KNU_2019-05-14_final
2019-05-26 11:35:06	ga_s2bm_ard_3-2-1_51JVL_2019-05-26_final
2019-06-19 11:13:36	ga_s2bm_ard_3-2-1_51KZS_2019-06-19_final
2019-07-25 11:32:54	ga_s2bm_ard_3-2-1_51KXV_2019-07-25_final
2019-09-07 11:13:09	ga_s2bm_ard_3-2-1_52KCC_2019-09-07_final
2019-11-12 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2019-11-12_final
2019-11-28 10:15:15	ga_s2bm_ard_3-2-1_54JUN_2019-11-28_final
2020-02-04 11:12:11	ga_s2bm_ard_3-2-1_52KEF_2020-02-04_final
2020-02-10 09:57:21	ga_s2bm_ard_3-2-1_54HXD_2020-02-10_final
2020-02-20 09:57:33	ga_s2bm_ard_3-2-1_54HYC_2020-02-20_final
2020-02-20 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2020-02-20_final
2020-02-26 10:11:45	ga_s2bm_ard_3-2-1_54KZF_2020-02-26_final
2020-03-04 10:03:53	ga_s2bm_ard_3-2-1_54JYT_2020-03-04_final
2020-04-25 10:46:19	ga_s2bm_ard_3-2-1_53HLD_2020-04-25_final
2020-05-26 10:15:59	ga_s2bm_ard_3-2-1_54HVK_2020-05-26_final
2020-08-04 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-08-04_final
2020-08-07 10:24:59	ga_s2bm_ard_3-2-1_54JVP_2020-08-07_final
2020-09-16 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-09-16_final
2020-09-21 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2020-09-21_final
2020-10-03 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-10-03_final
2020-10-07 09:56:13	ga_s2bm_ard_3-2-1_54HYJ_2020-10-07_final
2020-10-23 10:12:47	ga_s2bm_ard_3-2-1_54KXC_2020-10-23_final
2020-11-12 10:11:39	ga_s2bm_ard_3-2-1_54KZG_2020-11-12_final
2020-12-05 10:26:11	ga_s2bm_ard_3-2-1_54HUJ_2020-12-05_final
2020-12-09 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2020-12-09_final
2020-12-27 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2020-12-27_final
2021-02-07 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2021-02-07_final
2021-02-19 10:41:50	ga_s2bm_ard_3-2-1_53KPB_2021-02-19_final
2021-03-19 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-03-19_final
2021-04-04 10:20:29	ga_s2bm_ard_3-2-1_54LWM_2021-04-04_final
2021-04-15 09:57:41	ga_s2bm_ard_3-2-1_54HWC_2021-04-15_final
2021-07-04 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2021-07-04_final
2021-07-19 10:40:56	ga_s2bm_ard_3-2-1_53LPF_2021-07-19_final
2021-07-31 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2021-07-31_final
2021-08-24 11:03:12	ga_s2bm_ard_3-2-1_52KGB_2021-08-24_final
2021-10-02 09:57:36	ga_s2bm_ard_3-2-1_54HYC_2021-10-02_final
2021-10-09 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-10-09_final
2021-10-14 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2021-10-14_final
2021-11-09 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2021-11-09_final
2021-12-21 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2021-12-21_final
2021-12-27 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2021-12-27_final
2022-01-18 10:55:20	ga_s2bm_ard_3-2-1_53JKH_2022-01-18_final
2022-01-26 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2022-01-26_final
2022-03-14 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2022-03-14_final
2022-05-30 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-05-30_final
2022-06-19 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2022-06-19_final
2022-07-29 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-29_final
2022-09-03 10:17:06	ga_s2bm_ard_3-2-1_53HQA_2022-09-03_final.stac-item
2022-09-07 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2022-09-07_final.stac-item
2022-10-13 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-10-13_final.stac-item
2022-10-31 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2022-10-31_final.stac-item
2022-11-02 10:15:45	ga_s2bm_ard_3-2-1_54JUL_2022-11-02_final.stac-item
2022-11-10 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2022-11-10_final.stac-item
2022-11-23 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2022-11-23_final.stac-item
2022-12-15 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2022-12-15_final.stac-item
2022-12-23 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-12-23_final.stac-item
2023-01-04 10:24:58	ga_s2bm_ard_3-2-1_54JUP_2023-01-04_final.stac-item
2023-01-30 10:44:14	ga_s2bm_ard_3-2-1_53JLN_2023-01-30_final.stac-item
2023-02-19 10:41:51	ga_s2bm_ard_3-2-1_53KPB_2023-02-19_final.stac-item
2023-02-22 10:51:35	ga_s2bm_ard_3-2-1_53LLD_2023-02-22_final.stac-item
2023-02-26 10:32:37	ga_s2bm_ard_3-2-1_53KQU_2023-02-26_final.stac-item
2023-04-02 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2023-04-02_final.stac-item
2023-05-24 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-05-24_final.stac-item
2023-05-31 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-05-31_final.stac-item
2023-06-04 11:31:39	ga_s2bm_ard_3-2-1_51LZD_2023-06-04_final.stac-item
2023-06-18 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2023-06-18_final.stac-item
2023-06-21 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-06-21_final.stac-item
2023-09-02 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-09-02_final.stac-item
2023-09-08 10:17:30	ga_s2bm_ard_3-2-1_54HVD_2023-09-08_final.stac-item
2023-09-12 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-09-12_final.stac-item
2023-10-05 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2023-10-05_final.stac-item
2023-11-01 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2023-11-01_final.stac-item
2024-01-04 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2024-01-04_final.stac-item
2024-02-07 10:51:21	ga_s2bm_ard_3-2-1_53LND_2024-02-07_final.stac-item
2024-02-17 10:52:28	ga_s2bm_ard_3-2-1_53KLV_2024-02-17_final.stac-item
2024-02-20 11:03:03	ga_s2bm_ard_3-2-1_52KFC_2024-02-20_final.stac-item
2024-03-10 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2024-03-10_final.stac-item
2024-04-09 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2024-04-09_final.stac-item
2024-04-09 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-04-09_final.stac-item
2024-05-01 10:31:14	ga_s2bm_ard_3-2-1_54LWJ_2024-05-01_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