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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KEB_2017-07-19_final
2017-08-22 10:53:11	ga_s2bm_ard_3-2-1_52JGM_2017-08-22_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTD_2017-09-23_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KYU_2017-11-02_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXT_2017-11-12_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXR_2017-11-19_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KQC_2018-01-14_final
2018-03-13 11:02:50	ga_s2bm_ard_3-2-1_52HDK_2018-03-13_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KFC_2018-05-05_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KDC_2018-05-25_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXT_2018-05-31_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWP_2018-07-10_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KVT_2018-07-23_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KXS_2018-07-27_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2018-09-25_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KXS_2018-09-28_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52KFB_2018-10-09_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXP_2018-10-28_final
2018-11-08 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2018-11-08_final
2018-11-11 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2018-11-11_final
2018-11-30 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2018-11-30_final
2018-12-04 11:22:28	ga_s2bm_ard_3-2-1_52KCE_2018-12-04_final
2018-12-07 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2018-12-07_final
2018-12-11 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2018-12-11_final
2018-12-31 11:12:50	ga_s2bm_ard_3-2-1_52KCD_2018-12-31_final
2019-01-23 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2019-01-23_final
2019-02-19 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2019-02-19_final
2019-04-09 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2019-04-09_final
2019-07-12 11:22:57	ga_s2bm_ard_3-2-1_52KCD_2019-07-12_final
2019-07-12 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2019-07-12_final
2019-07-25 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-07-25_final
2019-08-14 11:34:21	ga_s2bm_ard_3-2-1_51KVP_2019-08-14_final
2019-09-13 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-09-13_final
2019-11-19 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2019-11-19_final
2019-12-02 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2019-12-02_final
2019-12-22 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2019-12-22_final
2019-12-26 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2019-12-26_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-04-17 11:23:30	ga_s2bm_ard_3-2-1_52KBA_2020-04-17_final
2020-04-30 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2020-04-30_final
2020-06-22 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2020-06-22_final
2020-06-26 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-06-26_final
2020-07-23 11:13:10	ga_s2bm_ard_3-2-1_52KEC_2020-07-23_final
2020-08-01 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-08-01_final
2020-08-12 11:15:36	ga_s2bm_ard_3-2-1_52JCN_2020-08-12_final
2020-08-24 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-08-24_final
2020-09-04 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-09-04_final
2020-09-21 11:11:52	ga_s2bm_ard_3-2-1_52KGG_2020-09-21_final
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final.stac-item
2020-11-03 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2020-11-03_final
2020-11-16 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-11-16_final
2020-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-12-19_final
2020-12-27 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2020-12-27_final
2021-02-07 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-02-07_final
2021-03-23 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-03-23_final
2021-06-11 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-06-11_final
2021-07-07 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2021-07-07_final
2021-07-17 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2021-07-17_final.stac-item
2021-09-11 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-11_final
2021-10-16 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2021-10-16_final
2021-10-19 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2021-10-19_final
2021-12-04 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2021-12-04_final
2021-12-11 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2021-12-11_final
2021-12-25 11:12:41	ga_s2bm_ard_3-2-1_52KED_2021-12-25_final
2021-12-31 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2021-12-31_final
2022-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-01-07_final
2022-03-18 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-03-18_final
2022-04-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-04-02_final
2022-04-24 11:13:42	ga_s2bm_ard_3-2-1_52KDV_2022-04-24_final
2022-04-24 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2022-04-24_final
2022-05-20 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-05-20_final
2022-05-30 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-30_final
2022-06-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-06-19_final
2022-07-09 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-09_final
2022-07-22 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2022-07-22_final
2022-07-26 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2022-07-26_final
2022-08-08 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2022-08-08_final
2022-08-11 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2022-08-11_final
2022-08-22 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2022-08-22_final
2022-10-30 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-10-30_final.stac-item
2022-11-12 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-11-12_final.stac-item
2023-01-09 11:14:43	ga_s2bm_ard_3-2-1_52JDR_2023-01-09_final.stac-item
2023-01-15 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2023-01-15_final.stac-item
2023-01-21 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2023-01-21_final.stac-item
2023-01-28 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-01-28_final.stac-item
2023-02-08 11:12:09	ga_s2bm_ard_3-2-1_52KCG_2023-02-08_final.stac-item
2023-04-22 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2023-04-22_final.stac-item
2023-05-15 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2023-05-15_final.stac-item
2023-05-16 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2023-05-16_final.stac-item
2023-07-03 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-07-03_final.stac-item
2023-07-10 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-07-10_final.stac-item
2023-07-10 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-07-10_final.stac-item
2023-08-20 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-08-20_final.stac-item
2023-08-23 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-23_final.stac-item
2023-11-08 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-11-08_final.stac-item
2023-12-11 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-12-11_final.stac-item
2024-03-14 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2024-03-14_final.stac-item
2024-03-27 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2024-03-27_final.stac-item
2024-04-12 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-04-12_final.stac-item
2024-05-09 11:34:06	ga_s2bm_ard_3-2-1_51KXP_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