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
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUD_2017-08-21_final
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_49JGK_2017-08-23_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-09-22_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUC_2017-09-23_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVA_2017-12-22_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50KKU_2017-12-31_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNM_2018-01-14_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JEL_2018-02-01_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVP_2018-02-10_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KYT_2018-02-10_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWQ_2018-02-20_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KZU_2018-03-29_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZT_2018-06-17_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KTT_2018-06-23_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51JTG_2018-07-13_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JML_2018-09-11_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGK_2018-09-27_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXQ_2018-10-18_final
2019-01-06 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2019-01-06_final
2019-03-13 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2019-03-13_final
2019-03-24 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2019-03-24_final
2019-04-19 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-04-19_final
2019-05-30 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-05-30_final
2019-07-08 11:44:43	ga_s2bm_ard_3-2-1_50JQT_2019-07-08_final
2019-07-25 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-25_final
2019-09-21 10:56:03	ga_s2bm_ard_3-2-1_52JEL_2019-09-21_final
2019-10-15 12:14:48	ga_s2bm_ard_3-2-1_49JGN_2019-10-15_final
2019-11-29 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2019-11-29_final
2019-12-16 11:14:41	ga_s2bm_ard_3-2-1_52JDR_2019-12-16_final
2019-12-19 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2019-12-19_final
2020-01-11 11:34:49	ga_s2bm_ard_3-2-1_51JWL_2020-01-11_final
2020-01-11 11:35:39	ga_s2bm_ard_3-2-1_51JUH_2020-01-11_final
2020-02-29 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-02-29_final
2020-03-25 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2020-03-25_final
2020-05-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2020-05-20_final
2020-06-26 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2020-06-26_final
2020-06-29 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2020-06-29_final
2020-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-09-10_final
2020-12-04 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2020-12-04_final
2020-12-09 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-12-09_final
2021-01-01 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2021-01-01_final
2021-01-15 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-01-15_final
2021-01-16 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2021-01-16_final
2021-02-07 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-02-07_final
2021-02-11 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-02-11_final
2021-03-12 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-03-12_final
2021-03-19 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2021-03-19_final
2021-04-16 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2021-04-16_final
2021-05-12 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2021-05-12_final
2021-05-24 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-05-24_final
2021-06-03 12:04:14	ga_s2bm_ard_3-2-1_50KKV_2021-06-03_final
2021-06-27 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2021-06-27_final
2021-07-04 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-07-04_final
2021-07-05 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2021-07-05_final
2021-07-06 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-07-06_final
2021-07-22 10:55:33	ga_s2bm_ard_3-2-1_52JFN_2021-07-22_final
2021-07-27 11:45:45	ga_s2bm_ard_3-2-1_51JTH_2021-07-27_final
2021-08-26 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-08-26_final
2021-09-05 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2021-09-05_final
2021-11-21 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2021-11-21_final
2021-11-25 11:14:51	ga_s2bm_ard_3-2-1_51JYL_2021-11-25_final
2022-02-12 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2022-02-12_final
2022-02-28 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2022-02-28_final
2022-04-04 11:16:02	ga_s2bm_ard_3-2-1_52JBL_2022-04-04_final
2022-04-13 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2022-04-13_final
2022-04-19 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2022-04-19_final
2022-05-02 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2022-05-02_final
2022-05-30 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-05-30_final
2022-06-02 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-06-02_final
2022-06-06 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2022-06-06_final
2022-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2022-06-09_final
2022-06-18 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2022-06-18_final
2022-06-29 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-06-29_final
2022-07-19 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2022-07-19_final
2022-07-22 11:44:15	ga_s2bm_ard_3-2-1_50KPV_2022-07-22_final
2022-08-02 11:14:51	ga_s2bm_ard_3-2-1_52JDR_2022-08-02_final
2022-08-02 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2022-08-02_final
2022-08-18 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2022-08-18_final
2022-09-25 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2022-09-25_final.stac-item
2022-10-01 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2022-10-01_final.stac-item
2022-11-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-09_final.stac-item
2022-11-12 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-11-12_final.stac-item
2023-02-11 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2023-02-11_final.stac-item
2023-02-21 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2023-02-21_final.stac-item
2023-04-02 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2023-04-02_final.stac-item
2023-04-12 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-04-12_final.stac-item
2023-05-31 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2023-05-31_final.stac-item
2023-06-04 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-06-04_final.stac-item
2023-06-21 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-21_final.stac-item
2023-06-21 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-21_final.stac-item
2023-08-16 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-08-16_final.stac-item
2023-08-29 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2023-08-29_nrt.stac-item
2023-11-11 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2023-11-11_final.stac-item
2023-11-30 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2023-11-30_final.stac-item
2024-01-08 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2024-01-08_final.stac-item
2024-01-10 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2024-01-10_final.stac-item
2024-02-25 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2024-02-25_final.stac-item
2024-03-10 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2024-03-10_final.stac-item
2024-03-10 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2024-03-10_final.stac-item
2024-03-28 10:55:17	ga_s2bm_ard_3-2-1_52JFP_2024-03-28_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