Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-14 10:17:06	ga_s2bm_ard_3-2-1_54LXJ_2017-07-14_final.stac-item
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_52KBA_2017-08-08_final.stac-item
2017-08-11 09:46:24	ga_s2bm_ard_3-2-1_55GDP_2017-08-11_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HVE_2017-08-21_final.stac-item
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51KZQ_2017-08-28_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54KYF_2017-11-01_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KVV_2017-12-15_final.stac-item
2017-12-23 10:57:04	ga_s2bm_ard_3-2-1_53LMF_2017-12-23_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JRT_2018-01-11_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTL_2018-02-03_final.stac-item
2018-02-06 10:06:57	ga_s2bm_ard_3-2-1_54LYJ_2018-02-06_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_54HXH_2018-03-15_final.stac-item
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54JUP_2018-06-09_final.stac-item
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53HLE_2018-06-12_final.stac-item
2018-06-21 10:59:06	ga_s2bm_ard_3-2-1_52KGC_2018-06-21_final.stac-item
2018-09-07 10:16:57	ga_s2bm_ard_3-2-1_54LZJ_2018-09-07_final.stac-item
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_53KMP_2018-10-06_final.stac-item
2018-10-16 10:47:22	ga_s2bm_ard_3-2-1_53LND_2018-10-16_final.stac-item
2018-12-01 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2018-12-01_final.stac-item
2019-01-09 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2019-01-09_final.stac-item
2019-01-22 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2019-01-22_final.stac-item
2019-01-23 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-01-23_final.stac-item
2019-01-28 10:35:56	ga_s2bm_ard_3-2-1_53HQE_2019-01-28_final.stac-item
2019-01-31 10:43:15	ga_s2bm_ard_3-2-1_53KQR_2019-01-31_final.stac-item
2019-02-04 10:21:33	ga_s2bm_ard_3-2-1_54LVH_2019-02-04_final.stac-item
2019-02-15 09:56:34	ga_s2bm_ard_3-2-1_55HCB_2019-02-15_final.stac-item
2019-02-18 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2019-02-18_final.stac-item
2019-03-08 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2019-03-08_final.stac-item
2019-03-30 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2019-03-30_final.stac-item
2019-04-19 11:43:31	ga_s2bm_ard_3-2-1_51KVS_2019-04-19_final.stac-item
2019-06-15 11:32:58	ga_s2bm_ard_3-2-1_51KYU_2019-06-15_final.stac-item
2019-06-24 10:24:56	ga_s2bm_ard_3-2-1_54JTQ_2019-06-24_final.stac-item
2019-07-05 11:33:47	ga_s2bm_ard_3-2-1_51KXR_2019-07-05_final.stac-item
2019-07-07 10:34:41	ga_s2bm_ard_3-2-1_53JQL_2019-07-07_final.stac-item
2019-07-12 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-07-12_final.stac-item
2019-07-14 10:24:50	ga_s2bm_ard_3-2-1_54JVQ_2019-07-14_final.stac-item
2019-08-08 09:37:56	ga_s2bm_ard_3-2-1_55HDS_2019-08-08_final.stac-item
2019-08-27 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2019-08-27_final.stac-item
2019-09-24 11:03:07	ga_s2bm_ard_3-2-1_53KKS_2019-09-24_final.stac-item
2019-11-28 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2019-11-28_final.stac-item
2020-01-06 10:41:29	ga_s2bm_ard_3-2-1_53LQC_2020-01-06_final
2020-02-12 10:30:13	ga_s2bm_ard_3-2-1_54LXM_2020-02-12_final.stac-item
2020-02-29 10:20:33	ga_s2bm_ard_3-2-1_54LZL_2020-02-29_final.stac-item
2020-03-02 11:05:13	ga_s2bm_ard_3-2-1_52JEP_2020-03-02_final.stac-item
2020-04-29 10:26:28	ga_s2bm_ard_3-2-1_53HQC_2020-04-29_final.stac-item
2020-05-20 11:31:18	ga_s2bm_ard_3-2-1_52LBK_2020-05-20_final.stac-item
2020-07-26 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-07-26_final.stac-item
2020-08-08 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2020-08-08_final.stac-item
2020-08-15 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-08-15_final.stac-item
2020-09-02 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2020-09-02_final.stac-item
2020-11-20 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2020-11-20_final.stac-item
2020-12-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2020-12-06_final.stac-item
2020-12-11 10:41:40	ga_s2bm_ard_3-2-1_54KTG_2020-12-11_final.stac-item
2020-12-16 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-12-16_final.stac-item
2021-01-26 11:00:48	ga_s2bm_ard_3-2-1_52LGM_2021-01-26_final.stac-item
2021-03-19 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2021-03-19_final.stac-item
2021-04-13 10:54:37	ga_s2bm_ard_3-2-1_53JKL_2021-04-13_final.stac-item
2021-04-24 10:25:00	ga_s2bm_ard_3-2-1_53JQJ_2021-04-24_final.stac-item
2021-09-14 10:33:27	ga_s2bm_ard_3-2-1_53KRQ_2021-09-14_final.stac-item
2021-11-10 10:19:44	ga_s2bm_ard_3-2-1_54LXQ_2021-11-10_final.stac-item
2021-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-11-27_final.stac-item
2021-11-30 10:26:40	ga_s2bm_ard_3-2-1_54HTG_2021-11-30_final.stac-item
2021-12-01 09:57:41	ga_s2bm_ard_3-2-1_54HXC_2021-12-01_final.stac-item
2022-01-07 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2022-01-07_final.stac-item
2022-02-25 10:11:22	ga_s2bm_ard_3-2-1_54LYH_2022-02-25_final.stac-item
2022-03-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2022-03-07_final.stac-item
2022-03-21 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-03-21_final.stac-item
2022-04-07 09:47:52	ga_s2bm_ard_3-2-1_54HYB_2022-04-07_final.stac-item
2022-04-17 11:22:22	ga_s2bm_ard_3-2-1_52KCF_2022-04-17_final.stac-item
2022-05-03 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2022-05-03_final.stac-item
2022-05-03 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-05-03_final.stac-item
2022-06-06 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2022-06-06_final.stac-item
2022-06-08 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2022-06-08_final.stac-item
2022-06-16 09:46:09	ga_s2bm_ard_3-2-1_55HDD_2022-06-16_final.stac-item
2022-07-11 10:34:19	ga_s2bm_ard_3-2-1_54JTS_2022-07-11_final.stac-item
2022-07-30 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2022-07-30_final.stac-item
2022-08-18 09:57:49	ga_s2bm_ard_3-2-1_55HCS_2022-08-18_final.stac-item
2022-10-01 11:16:43	ga_s2bm_ard_3-2-1_51HWD_2022-10-01_final.stac-item
2022-10-31 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2022-10-31_final.stac-item
2022-11-18 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-11-18_final.stac-item
2023-01-14 10:20:57	ga_s2bm_ard_3-2-1_54LZJ_2023-01-14_final.stac-item
2023-01-15 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-01-15_final.stac-item
2023-03-17 09:28:37	ga_s2bm_ard_3-2-1_55GGP_2023-03-16_nrt
2023-04-09 11:13:24	ga_s2bm_ard_3-2-1_52KCB_2023-04-09_final
2023-05-05 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-05-05_final
2023-05-29 11:13:41	ga_s2bm_ard_3-2-1_52KCA_2023-05-29_final
2023-06-03 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-06-03_final
2023-06-04 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-06-04_final
2023-07-17 10:05:18	ga_s2bm_ard_3-2-1_54JXN_2023-07-17_final
2023-08-03 09:57:55	ga_s2bm_ard_3-2-1_55HBS_2023-08-03_final
2023-08-17 11:13:10	ga_s2bm_ard_3-2-1_52KDC_2023-08-17_final
2023-09-01 10:26:45	ga_s2bm_ard_3-2-1_54HUG_2023-09-01_final
2023-11-04 10:07:39	ga_s2bm_ard_3-2-1_54HXC_2023-11-04_final
2024-01-12 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2024-01-12_final
2024-02-08 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2024-02-08_final
2024-02-09 09:56:16	ga_s2bm_ard_3-2-1_55HDC_2024-02-09_final
2024-02-20 11:02:48	ga_s2bm_ard_3-2-1_53KKU_2024-02-20_final
2024-02-23 11:13:22	ga_s2bm_ard_3-2-1_52KCB_2024-02-23_final
2024-04-03 11:11:49	ga_s2bm_ard_3-2-1_52KGG_2024-04-03_final
2024-04-20 11:04:51	ga_s2bm_ard_3-2-1_52JDR_2024-04-20_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years