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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGJ_2017-07-04_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KZS_2017-11-19_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KZB_2018-01-08_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JEQ_2018-01-12_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYN_2018-01-15_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYB_2018-01-28_final
2018-02-05 10:42:59	ga_s2bm_ard_3-2-1_52JGM_2018-02-05_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HVE_2018-02-17_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HMJ_2018-02-23_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYR_2018-03-29_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51KZQ_2018-04-15_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2018-04-18_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HXD_2018-05-25_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-06-09_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KZU_2018-06-27_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KYP_2018-07-07_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KUT_2018-07-20_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMJ_2018-09-11_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQH_2018-10-08_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNJ_2018-10-21_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXQ_2018-11-04_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51HWE_2018-11-04_final
2018-11-21 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2018-11-21_final
2018-12-20 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2018-12-20_final
2019-01-02 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2019-01-02_final
2019-01-04 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2019-01-04_final
2019-01-22 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-01-22_final
2019-01-30 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2019-01-30_final
2019-02-02 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2019-02-02_final
2019-02-24 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2019-02-24_final
2019-02-25 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-02-25_final
2019-04-03 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2019-04-03_final
2019-05-05 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-05_final
2019-06-29 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-06-29_final
2019-08-14 11:35:43	ga_s2bm_ard_3-2-1_50JQP_2019-08-14_final
2019-08-22 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2019-08-22_final
2019-09-10 11:22:28	ga_s2bm_ard_3-2-1_51KYA_2019-09-10_final
2019-09-12 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2019-09-12_final
2020-01-18 11:25:54	ga_s2bm_ard_3-2-1_51JVG_2020-01-18_final
2020-03-02 11:04:33	ga_s2bm_ard_3-2-1_52JDS_2020-03-02_final
2020-03-20 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-03-20_final
2020-05-27 11:21:45	ga_s2bm_ard_3-2-1_51LZD_2020-05-27_final
2020-06-13 11:14:43	ga_s2bm_ard_3-2-1_51JYM_2020-06-13_final
2020-08-06 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2020-08-06_final
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-08-27_final
2020-09-10 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2020-09-10_final
2020-10-04 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2020-10-04_final
2020-10-30 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-10-30_final
2020-11-06 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2020-11-06_final
2020-12-09 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2020-12-09_final
2021-02-11 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2021-02-11_final
2021-02-24 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2021-02-24_final
2021-03-03 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2021-03-03_final
2021-03-20 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2021-03-20_final
2021-03-22 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-03-22_final
2021-04-12 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2021-04-12_final
2021-06-06 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-06_final
2021-06-10 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-06-10_final
2021-06-16 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-06-16_final
2021-06-27 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2021-06-27_final
2021-08-09 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2021-08-09_final
2022-03-05 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2022-03-05_final
2022-03-18 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2022-03-18_final
2022-03-21 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-03-21_final
2022-04-18 10:54:43	ga_s2bm_ard_3-2-1_52JFR_2022-04-18_final
2022-05-03 11:46:07	ga_s2bm_ard_3-2-1_50JMM_2022-05-03_final
2022-05-03 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2022-05-03_final
2022-05-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-05-07_final
2022-05-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-05-13_final
2022-05-17 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2022-05-17_final
2022-05-17 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2022-05-17_final
2022-05-29 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-05-29_final
2022-05-29 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2022-05-29_final
2022-05-30 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-05-30_final
2022-05-31 11:06:10	ga_s2bm_ard_3-2-1_52JBL_2022-05-31_final
2022-06-09 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2022-06-09_final
2022-06-16 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2022-06-16_final
2022-10-31 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2022-10-31_final.stac-item
2022-11-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-11-02_final.stac-item
2023-01-05 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2023-01-05_final.stac-item
2023-02-07 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2023-02-07_final.stac-item
2023-02-14 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2023-02-14_final.stac-item
2023-03-26 11:35:18	ga_s2bm_ard_3-2-1_51JUK_2023-03-26_final.stac-item
2023-04-13 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2023-04-13_final.stac-item
2023-04-22 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-04-22_nrt.stac-item
2023-04-25 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-04-25_final.stac-item
2023-07-01 11:22:47	ga_s2bm_ard_3-2-1_51KYV_2023-07-01_final.stac-item
2023-07-01 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-07-01_final.stac-item
2023-07-02 10:54:53	ga_s2bm_ard_3-2-1_52JFR_2023-07-02_final.stac-item
2023-08-04 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-08-04_final.stac-item
2023-10-02 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2023-10-02_final.stac-item
2023-11-21 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-21_final.stac-item
2023-11-24 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2023-11-24_final.stac-item
2023-11-29 10:54:55	ga_s2bm_ard_3-2-1_52JGQ_2023-11-29_final.stac-item
2023-12-08 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2023-12-08_final.stac-item
2023-12-28 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2023-12-28_final.stac-item
2024-02-25 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2024-02-25_final.stac-item
2024-03-04 11:14:37	ga_s2bm_ard_3-2-1_51JYM_2024-03-04_final.stac-item
2024-03-07 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2024-03-07_final.stac-item
2024-03-17 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-03-17_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