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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KWU_2017-07-05_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKQ_2017-09-22_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50KRC_2018-01-04_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JPL_2018-01-11_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JBP_2018-01-15_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVV_2018-03-05_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLT_2018-03-11_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JCL_2018-05-25_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JFQ_2018-06-08_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51JXJ_2018-06-27_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_52KBD_2018-07-27_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KVR_2018-08-22_final
2018-08-27 10:49:47	ga_s2bm_ard_3-2-1_52JGM_2018-08-27_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50JQL_2018-10-11_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JWG_2018-10-25_final
2018-11-28 11:04:39	ga_s2bm_ard_3-2-1_52JFR_2018-11-28_final
2019-01-16 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-01-16_final
2019-02-05 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2019-02-05_final
2019-03-10 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2019-03-10_final
2019-03-14 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2019-03-14_final
2019-03-14 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2019-03-14_final
2019-06-23 10:55:43	ga_s2bm_ard_3-2-1_52JEN_2019-06-23_final
2019-07-09 11:15:27	ga_s2bm_ard_3-2-1_52JCP_2019-07-09_final
2019-08-04 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2019-08-04_final
2019-08-04 11:34:51	ga_s2bm_ard_3-2-1_51JVM_2019-08-04_final
2019-08-15 11:05:15	ga_s2bm_ard_3-2-1_52JCQ_2019-08-15_final
2019-09-30 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2019-09-30_final
2019-11-25 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2019-11-25_final
2019-12-22 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2019-12-22_final
2020-01-04 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2020-01-04_final
2020-01-24 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-01-24_final
2020-02-27 11:23:28	ga_s2bm_ard_3-2-1_52KBA_2020-02-27_final
2020-03-31 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2020-03-31_final
2020-04-01 11:04:40	ga_s2bm_ard_3-2-1_52JFR_2020-04-01_final
2020-04-10 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2020-04-10_final
2020-04-23 11:43:45	ga_s2bm_ard_3-2-1_50KQA_2020-04-23_final
2020-07-11 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2020-07-11_final
2020-08-04 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2020-08-04_final
2020-08-11 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2020-08-11_final
2020-09-04 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2020-09-04_final
2020-10-04 11:23:38	ga_s2bm_ard_3-2-1_52KBA_2020-10-04_final
2020-12-26 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2020-12-26_final
2021-02-11 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2021-02-11_final
2021-02-14 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2021-02-14_final
2021-03-17 11:06:17	ga_s2bm_ard_3-2-1_52HDK_2021-03-17_final.stac-item
2021-04-28 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2021-04-28_final
2021-05-09 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2021-05-09_final
2021-05-22 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2021-05-22_final
2021-06-01 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-06-01_final
2021-06-28 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-06-28_final
2021-08-02 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2021-08-02_final
2021-09-25 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-09-25_final
2021-10-02 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-10-02_final
2021-10-12 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2021-10-12_final
2021-10-15 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2021-10-15_final
2021-11-28 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2021-11-28_final
2021-12-28 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2021-12-28_final
2022-01-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-16_final
2022-02-05 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-02-05_final
2022-02-12 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-12_final
2022-03-04 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2022-03-04_final
2022-03-24 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-03-24_final
2022-04-20 11:32:15	ga_s2bm_ard_3-2-1_51KVB_2022-04-20_final
2022-06-19 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2022-06-19_final
2022-07-25 11:56:27	ga_s2bm_ard_3-2-1_50JML_2022-07-25_final
2022-08-22 11:13:27	ga_s2bm_ard_3-2-1_52KBB_2022-08-22_final
2022-08-27 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-08-27_final
2022-09-10 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2022-09-10_final.stac-item
2022-09-27 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2022-09-27_final.stac-item
2022-10-04 11:24:03	ga_s2bm_ard_3-2-1_52KBU_2022-10-04_final.stac-item
2022-10-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-10-04_final.stac-item
2022-10-16 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-10-16_final.stac-item
2022-11-19 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-11-19_final.stac-item
2022-12-19 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-12-19_final.stac-item
2023-01-12 11:23:49	ga_s2bm_ard_3-2-1_51KYQ_2023-01-12_final.stac-item
2023-01-22 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2023-01-22_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-01-29 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2023-01-29_final.stac-item
2023-03-16 11:32:54	ga_s2bm_ard_3-2-1_51KYU_2023-03-16_final.stac-item
2023-04-02 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2023-04-02_final.stac-item
2023-04-05 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-04-05_final.stac-item
2023-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-04-11_final.stac-item
2023-04-15 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2023-04-15_final.stac-item
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final.stac-item
2023-04-18 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-04-18_final.stac-item
2023-06-21 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2023-06-21_final.stac-item
2023-07-21 11:24:17	ga_s2bm_ard_3-2-1_51KXP_2023-07-21_final.stac-item
2023-08-13 11:35:18	ga_s2bm_ard_3-2-1_51JVK_2023-08-13_final.stac-item
2023-08-20 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2023-08-20_final.stac-item
2023-08-23 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-08-23_final.stac-item
2023-09-12 11:36:21	ga_s2bm_ard_3-2-1_51JTF_2023-09-12_final.stac-item
2023-09-19 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2023-09-19_final.stac-item
2023-10-06 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2023-10-06_final.stac-item
2023-10-15 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-10-15_final.stac-item
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final.stac-item
2023-11-27 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2023-11-27_final.stac-item
2023-12-04 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-12-04_final.stac-item
2023-12-25 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2023-12-25_final.stac-item
2024-01-20 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2024-01-20_final.stac-item
2024-03-10 11:32:21	ga_s2bm_ard_3-2-1_51KXA_2024-03-10_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