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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHP_2017-07-24_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KLU_2017-08-13_final
2017-10-27 11:06:59	ga_s2bm_ard_3-2-1_52LFJ_2017-10-27_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLP_2017-11-21_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KDA_2017-12-06_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JLP_2017-12-08_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KBU_2017-12-09_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52KEA_2018-05-02_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPH_2018-06-10_final
2018-06-28 10:54:55	ga_s2bm_ard_3-2-1_52JGN_2018-06-28_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_52KBF_2018-07-17_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KBU_2018-10-25_final
2018-12-24 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2018-12-24_final
2018-12-31 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2018-12-31_final
2019-01-23 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2019-01-23_final
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-02-27_final
2019-03-21 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2019-03-21_final
2019-04-23 11:22:58	ga_s2bm_ard_3-2-1_52KBD_2019-04-23_final
2019-06-18 11:44:06	ga_s2bm_ard_3-2-1_51KUQ_2019-06-18_final
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final
2019-07-15 11:32:49	ga_s2bm_ard_3-2-1_51KXV_2019-07-15_final
2019-08-05 11:06:28	ga_s2bm_ard_3-2-1_52HCK_2019-08-05_final.stac-item
2019-08-24 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2019-08-24_final
2019-08-26 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2019-08-26_final
2019-09-13 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2019-09-13_final
2019-09-20 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2019-09-20_final
2019-09-23 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2019-09-23_final
2019-09-23 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-09-23_final
2019-10-10 11:23:21	ga_s2bm_ard_3-2-1_51KXS_2019-10-10_final
2019-10-22 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-22_final
2019-12-16 11:15:19	ga_s2bm_ard_3-2-1_51JYJ_2019-12-16_final
2019-12-29 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2019-12-29_final
2020-01-15 11:13:27	ga_s2bm_ard_3-2-1_52KDA_2020-01-15_final
2020-01-18 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2020-01-18_final
2020-01-21 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2020-01-21_final
2020-02-10 11:34:20	ga_s2bm_ard_3-2-1_51JWN_2020-02-10_final
2020-02-23 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2020-02-23_final
2020-02-23 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2020-02-23_final
2020-05-10 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2020-05-10_final
2020-09-13 11:53:45	ga_s2bm_ard_3-2-1_50KNB_2020-09-13_final
2020-10-13 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2020-10-13_final
2020-11-13 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2020-11-13_final
2020-11-22 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2020-11-22_final
2021-01-25 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2021-01-25_final
2021-01-29 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2021-01-29_final
2021-01-31 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-01-31_final
2021-02-01 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2021-02-01_final
2021-03-20 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2021-03-20_final
2021-04-02 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2021-04-02_final
2021-05-06 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2021-05-06_final
2021-05-14 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-05-14_final
2021-06-07 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-06-07_final
2021-06-10 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-06-10_final.stac-item
2021-08-03 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2021-08-03_final
2021-09-05 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2021-09-05_final
2021-09-19 11:22:45	ga_s2bm_ard_3-2-1_52KCD_2021-09-19_final
2021-10-20 10:55:00	ga_s2bm_ard_3-2-1_52JGQ_2021-10-20_final
2021-10-24 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2021-10-24_final
2021-10-29 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-10-29_final
2021-12-18 11:26:48	ga_s2bm_ard_3-2-1_51HWC_2021-12-18_final.stac-item
2022-02-06 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2022-02-06_final
2022-02-08 12:03:53	ga_s2bm_ard_3-2-1_50KKA_2022-02-08_final
2022-02-13 11:14:47	ga_s2bm_ard_3-2-1_52JBR_2022-02-13_final
2022-03-11 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-03-11_final
2022-03-30 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-04-10 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2022-04-10_final
2022-05-07 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2022-05-07_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-05-19_final
2022-06-26 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2022-06-26_final
2022-08-29 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2022-08-29_final
2022-09-04 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2022-09-04_final.stac-item
2022-09-11 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2022-09-11_final.stac-item
2022-09-14 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2022-09-14_final.stac-item
2022-09-23 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2022-09-23_final.stac-item
2022-10-07 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2022-10-07_final.stac-item
2022-10-07 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-10-07_final.stac-item
2022-10-10 13:21:36	ga_s2bm_ard_3-2-1_46LHN_2022-10-10_interim.stac-item
2022-10-30 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2022-10-30_final.stac-item
2022-11-10 11:13:40	ga_s2bm_ard_3-2-1_52KCA_2022-11-10_final.stac-item
2022-12-20 11:15:29	ga_s2bm_ard_3-2-1_52JCN_2022-12-20_final.stac-item
2022-12-28 10:36:35	ga_s2bm_ard_3-2-1_53HNC_2022-12-28_final.stac-item
2023-02-14 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2023-02-14_final.stac-item
2023-02-18 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2023-02-18_final.stac-item
2023-03-05 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-03-05_final.stac-item
2023-06-05 11:03:24	ga_s2bm_ard_3-2-1_52KEB_2023-06-05_final.stac-item
2023-06-07 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2023-06-07_final.stac-item
2023-09-05 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-09-05_final.stac-item
2023-10-16 11:11:07	ga_s2bm_ard_3-2-1_52LEL_2023-10-16_final.stac-item
2023-10-29 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2023-10-29_final.stac-item
2023-11-18 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-11-18_final.stac-item
2023-11-27 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2023-11-27_final.stac-item
2023-12-16 10:46:05	ga_s2bm_ard_3-2-1_53HME_2023-12-16_final.stac-item
2023-12-18 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2023-12-18_final.stac-item
2023-12-21 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2023-12-21_final.stac-item
2023-12-24 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-12-24_final.stac-item
2024-02-13 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2024-02-13_final.stac-item
2024-02-22 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-02-22_final.stac-item
2024-02-26 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2024-02-26_final.stac-item
2024-04-22 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2024-04-22_final.stac-item
2024-05-09 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2024-05-09_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