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
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KYQ_2017-09-30_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52KBV_2017-11-09_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KCC_2017-12-19_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXR_2017-12-22_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HUC_2018-01-08_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVS_2018-01-21_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51KXR_2018-04-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KBC_2018-05-18_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KCB_2018-05-25_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KDA_2018-06-24_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLJ_2018-07-16_final
2019-03-21 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2019-03-21_final
2019-07-05 11:34:14	ga_s2bm_ard_3-2-1_51KXP_2019-07-05_final
2019-07-18 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-18_final
2019-09-16 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2019-09-16_final
2019-09-30 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2019-09-30_final
2019-10-13 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-10-13_final
2019-10-17 11:13:09	ga_s2bm_ard_3-2-1_52KCC_2019-10-17_final
2019-11-12 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2019-11-12_final
2020-01-11 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2020-01-11_final
2020-04-06 11:54:42	ga_s2bm_ard_3-2-1_50JPS_2020-04-06_final
2020-05-23 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2020-05-23_final
2020-06-19 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2020-06-19_final.stac-item
2020-07-26 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2020-07-26_final
2020-07-30 11:04:46	ga_s2bm_ard_3-2-1_52JFR_2020-07-30_final
2020-08-08 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2020-08-08_final
2020-08-08 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-08-08_final
2020-08-26 10:54:15	ga_s2bm_ard_3-2-1_52JHT_2020-08-26_final
2020-10-03 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2020-10-03_final.stac-item
2020-10-06 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-10-06_final
2020-10-10 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-10-10_final
2020-11-10 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2020-11-10_final
2020-11-19 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-11-19_final
2020-12-13 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2020-12-13_final
2020-12-22 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2020-12-22_final
2021-01-08 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2021-01-08_final
2021-01-18 11:44:05	ga_s2bm_ard_3-2-1_50KQV_2021-01-18_final
2021-03-10 11:12:52	ga_s2bm_ard_3-2-1_52KCD_2021-03-10_final
2021-03-25 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-03-25_final
2021-04-11 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-04-11_final
2021-04-18 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-04-18_final
2021-05-31 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-05-31_final
2021-07-01 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2021-07-01_final
2021-07-01 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-07-01_final
2021-07-03 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-07-03_final
2021-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-10_final.stac-item
2021-08-03 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2021-08-03_final
2021-08-13 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2021-08-13_final
2021-08-29 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2021-08-29_final
2021-08-29 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-08-29_final
2021-08-30 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2021-08-30_final
2021-08-30 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2021-08-30_final
2021-09-15 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2021-09-15_final
2021-10-29 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-10-29_final
2021-12-18 11:23:14	ga_s2bm_ard_3-2-1_52KBB_2021-12-18_final
2021-12-19 10:54:09	ga_s2bm_ard_3-2-1_52JGT_2021-12-19_final
2022-01-23 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2022-01-23_final
2022-02-09 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2022-02-09_final
2022-04-21 11:04:57	ga_s2bm_ard_3-2-1_52JEQ_2022-04-21_final
2022-06-26 11:24:31	ga_s2bm_ard_3-2-1_51JXN_2022-06-26_final
2022-06-30 11:05:36	ga_s2bm_ard_3-2-1_52JEN_2022-06-30_final
2022-07-03 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-07-03_final
2022-09-27 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-09-27_final.stac-item
2022-10-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-10-10_final.stac-item
2022-10-31 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2022-10-31_final.stac-item
2022-11-29 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-11-29_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-26 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-12-26_final.stac-item
2022-12-27 11:02:25	ga_s2bm_ard_3-2-1_52KHE_2022-12-27_final.stac-item
2023-01-15 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-01-15_final.stac-item
2023-01-15 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2023-01-15_final.stac-item
2023-01-21 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-01-21_final.stac-item
2023-02-05 11:03:57	ga_s2bm_ard_3-2-1_52KFU_2023-02-05_final.stac-item
2023-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-02-13_final.stac-item
2023-03-23 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-03-23_final.stac-item
2023-04-02 11:25:16	ga_s2bm_ard_3-2-1_51JWK_2023-04-02_final.stac-item
2023-06-02 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2023-06-02_final.stac-item
2023-06-12 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2023-06-12_final.stac-item
2023-06-15 11:05:13	ga_s2bm_ard_3-2-1_52JCQ_2023-06-15_final.stac-item
2023-09-04 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-09-04_final.stac-item
2023-09-20 10:54:19	ga_s2bm_ard_3-2-1_52JFT_2023-09-20_final.stac-item
2023-09-22 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-09-22_final.stac-item
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final.stac-item
2023-10-15 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-10-15_final.stac-item
2023-11-01 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-11-01_final.stac-item
2023-11-22 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2023-11-22_final.stac-item
2023-12-25 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2023-12-25_final.stac-item
2024-02-16 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2024-02-16_final.stac-item
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2024-02-18_final.stac-item
2024-02-23 11:15:14	ga_s2bm_ard_3-2-1_51JYK_2024-02-23_final.stac-item
2024-02-26 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2024-02-26_final.stac-item
2024-03-01 11:04:33	ga_s2bm_ard_3-2-1_52JFR_2024-03-01_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2024-03-24_final.stac-item
2024-04-01 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-04-01_final.stac-item
2024-04-03 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2024-04-03_final.stac-item
2024-04-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-04-12_final.stac-item
2024-04-18 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2024-04-18_final.stac-item
2024-04-28 12:04:06	ga_s2bm_ard_3-2-1_50KMV_2024-04-28_final.stac-item
2024-04-29 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2024-04-29_final.stac-item
2024-05-13 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2024-05-13_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

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