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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52KDA_2017-08-28_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUV_2017-10-06_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQG_2017-12-08_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUU_2018-01-24_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51KWQ_2018-04-18_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KYU_2018-05-01_final
2018-07-11 10:57:36	ga_s2bm_ard_3-2-1_52KFB_2018-07-11_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KYU_2018-09-05_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KEB_2018-09-19_final
2018-10-29 11:01:40	ga_s2bm_ard_3-2-1_52KFB_2018-10-29_final
2018-12-24 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2018-12-24_final
2019-01-13 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2019-01-13_final
2019-01-30 11:12:54	ga_s2bm_ard_3-2-1_52KFC_2019-01-30_final
2019-03-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-06_final
2019-04-20 11:13:39	ga_s2bm_ard_3-2-1_52KDA_2019-04-20_final
2019-06-02 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-06-02_final
2019-06-08 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-06-08_final
2019-06-16 11:03:12	ga_s2bm_ard_3-2-1_52KEC_2019-06-16_final
2019-08-28 11:13:18	ga_s2bm_ard_3-2-1_52KCB_2019-08-28_final
2019-09-13 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2019-09-13_final
2019-09-24 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2019-09-24_final
2019-12-09 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2019-12-09_final
2019-12-19 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2019-12-19_final
2020-01-15 11:13:27	ga_s2bm_ard_3-2-1_52KDA_2020-01-15_final
2020-02-07 11:22:46	ga_s2bm_ard_3-2-1_52KBD_2020-02-07_final
2020-04-23 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-04-23_final
2020-06-16 11:22:51	ga_s2bm_ard_3-2-1_52KCD_2020-06-16_final
2020-07-25 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-07-25_final.stac-item
2020-07-28 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-07-28_final
2020-07-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-07-29_final
2020-09-07 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-09-07_final
2020-09-14 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2020-09-14_final
2020-09-20 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-09-20_final
2020-10-11 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2020-10-11_final
2020-10-28 11:03:20	ga_s2bm_ard_3-2-1_52KFB_2020-10-28_final
2020-11-06 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-11-06_final
2020-11-10 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2020-11-10_final
2020-12-06 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2020-12-06_final
2021-01-29 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2021-01-29_final
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-02-13_final
2021-02-20 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2021-02-20_final
2021-03-03 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-03-03_final
2021-03-23 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2021-03-23_final
2021-04-02 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2021-04-02_final
2021-04-12 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2021-04-12_final
2021-04-25 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2021-04-25_final
2021-05-15 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-05-15_final
2021-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-10_final.stac-item
2021-07-11 11:22:34	ga_s2bm_ard_3-2-1_51KZA_2021-07-11_final
2021-07-17 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2021-07-17_final
2021-08-07 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2021-08-07_final
2021-08-09 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-08-09_final
2021-08-18 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2021-08-18_final
2021-08-29 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-08-29_final
2021-09-21 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2021-09-21_final
2021-11-01 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-11-01_final
2021-11-18 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2021-11-18_final
2022-01-19 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2022-01-19_final
2022-02-08 12:03:53	ga_s2bm_ard_3-2-1_50KKA_2022-02-08_final
2022-02-09 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-02-09_final
2022-04-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-03_final
2022-05-31 11:02:26	ga_s2bm_ard_3-2-1_52KHE_2022-05-31_final
2022-06-17 10:55:31	ga_s2bm_ard_3-2-1_52JGN_2022-06-17_final
2022-06-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-06-19_final
2022-06-30 11:03:51	ga_s2bm_ard_3-2-1_52KFV_2022-06-30_final
2022-06-30 11:05:36	ga_s2bm_ard_3-2-1_52JEN_2022-06-30_final
2022-07-18 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2022-07-18_final
2022-08-05 11:23:58	ga_s2bm_ard_3-2-1_51KYQ_2022-08-05_final
2022-08-18 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2022-08-18_final
2022-09-04 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2022-09-04_final.stac-item
2022-11-30 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2022-11-30_final.stac-item
2022-12-17 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2022-12-17_final.stac-item
2023-01-23 10:54:10	ga_s2bm_ard_3-2-1_52JHT_2023-01-23_final.stac-item
2023-01-29 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2023-01-29_final.stac-item
2023-02-11 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2023-02-11_final.stac-item
2023-02-24 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-02-24_final.stac-item
2023-05-09 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2023-05-09_final.stac-item
2023-05-14 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-05-14_final.stac-item
2023-05-22 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2023-05-22_final.stac-item
2023-06-17 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-06-17_final.stac-item
2023-07-14 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-07-14_final.stac-item
2023-07-21 11:23:06	ga_s2bm_ard_3-2-1_51KXU_2023-07-21_final.stac-item
2023-07-24 11:32:53	ga_s2bm_ard_3-2-1_51KVV_2023-07-24_final.stac-item
2023-09-05 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-09-05_final.stac-item
2023-09-05 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-09-05_final.stac-item
2023-10-20 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2023-10-20_final.stac-item
2023-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final.stac-item
2023-10-29 11:22:54	ga_s2bm_ard_3-2-1_51KZU_2023-10-29_final.stac-item
2023-11-04 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-11-04_final.stac-item
2023-12-23 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-23_final.stac-item
2024-01-01 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2024-01-01_final.stac-item
2024-01-24 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2024-01-24_final.stac-item
2024-01-30 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2024-01-30_final.stac-item
2024-03-03 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2024-03-03_final.stac-item
2024-04-03 11:13:24	ga_s2bm_ard_3-2-1_52KBB_2024-04-03_final.stac-item
2024-04-07 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2024-04-07_final.stac-item
2024-04-09 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-04-09_final.stac-item
2024-04-19 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2024-04-19_final.stac-item
2024-04-26 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2024-04-26_final.stac-item
2024-05-09 11:33:49	ga_s2bm_ard_3-2-1_51KUR_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