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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KEB_2017-07-09_final.stac-item
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2017-07-27_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXT_2018-01-11_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTN_2018-01-24_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVS_2018-01-31_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JXG_2018-02-07_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final.stac-item
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JDT_2018-05-02_final.stac-item
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JFM_2018-05-12_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVB_2018-05-21_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KYS_2018-06-07_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JWG_2018-10-05_final.stac-item
2019-03-18 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2019-03-18_final.stac-item
2019-04-02 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2019-04-02_final.stac-item
2019-05-26 11:34:43	ga_s2bm_ard_3-2-1_51JWM_2019-05-26_final.stac-item
2019-07-12 11:23:34	ga_s2bm_ard_3-2-1_51KYS_2019-07-12_final.stac-item
2019-07-12 11:24:13	ga_s2bm_ard_3-2-1_51KZP_2019-07-12_final.stac-item
2019-08-09 10:46:07	ga_s2bm_ard_3-2-1_52JGL_2019-08-09_final.stac-item
2019-10-03 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2019-10-03_final.stac-item
2019-10-06 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-10-06_final.stac-item
2019-10-20 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2019-10-20_final.stac-item
2020-01-08 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2020-01-08_final.stac-item
2020-02-01 11:02:58	ga_s2bm_ard_3-2-1_52KEC_2020-02-01_final.stac-item
2020-02-26 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-02-26_final.stac-item
2020-03-01 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2020-03-01_final.stac-item
2020-03-01 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2020-03-01_final.stac-item
2020-03-17 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2020-03-17_final.stac-item
2020-06-03 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2020-06-03_final.stac-item
2020-06-06 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2020-06-06_final.stac-item
2020-07-20 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2020-07-20_final.stac-item
2020-09-07 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2020-09-07_final.stac-item
2020-12-09 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2020-12-09_final.stac-item
2020-12-10 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2020-12-10_final.stac-item
2021-01-02 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-01-02_final.stac-item
2021-01-29 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2021-01-29_final.stac-item
2021-02-05 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2021-02-05_final.stac-item
2021-03-07 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2021-03-07_final.stac-item
2021-04-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2021-04-11_final.stac-item
2021-05-04 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-05-04_final.stac-item
2021-05-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2021-05-05_final.stac-item
2021-06-01 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2021-06-01_final.stac-item
2021-06-18 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2021-06-18_final.stac-item
2021-07-17 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2021-07-17_final.stac-item
2021-08-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-08-10_final.stac-item
2021-10-03 11:04:55	ga_s2bm_ard_3-2-1_52JCR_2021-10-03_final.stac-item
2021-10-10 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2021-10-10_final.stac-item
2021-10-10 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-10-10_final.stac-item
2021-10-20 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2021-10-20_final.stac-item
2021-11-02 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2021-11-02_final.stac-item
2021-11-17 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-11-17_final.stac-item
2021-11-18 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2021-11-18_final.stac-item
2022-02-02 11:42:03	ga_s2bm_ard_3-2-1_51KWB_2022-02-02_final.stac-item
2022-02-12 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2022-02-12_final.stac-item
2022-02-12 11:45:59	ga_s2bm_ard_3-2-1_50JPM_2022-02-12_final.stac-item
2022-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2022-04-03_final.stac-item
2022-04-27 11:24:19	ga_s2bm_ard_3-2-1_51JXN_2022-04-27_final.stac-item
2022-05-13 11:44:36	ga_s2bm_ard_3-2-1_50JPT_2022-05-13_final.stac-item
2022-05-23 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2022-05-23_final.stac-item
2022-05-24 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2022-05-24_final.stac-item
2022-05-30 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2022-05-30_final.stac-item
2022-06-06 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-06-06_final.stac-item
2022-06-27 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-06-27_final.stac-item
2022-07-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-07-18_final.stac-item
2022-07-19 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2022-07-19_final.stac-item
2022-08-09 11:05:56	ga_s2bm_ard_3-2-1_52JCM_2022-08-09_final.stac-item
2022-09-06 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2022-09-06_final.stac-item
2022-09-20 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-09-20_final.stac-item
2022-09-28 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2022-09-28_final.stac-item
2022-10-01 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2022-10-01_final.stac-item
2022-10-28 11:04:10	ga_s2bm_ard_3-2-1_52JGT_2022-10-28_final.stac-item
2022-11-13 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2022-11-13_final.stac-item
2022-11-20 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-11-20_final.stac-item
2022-11-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-11-26_final.stac-item
2022-12-16 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2022-12-16_final.stac-item
2022-12-17 11:04:09	ga_s2bm_ard_3-2-1_52JGT_2022-12-17_final.stac-item
2023-01-05 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-01-05_final.stac-item
2023-01-15 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2023-01-15_final.stac-item
2023-01-26 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2023-01-26_final.stac-item
2023-02-14 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2023-02-14_final
2023-02-24 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-02-24_final
2023-02-24 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2023-02-24_final
2023-02-28 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2023-02-28_final
2023-03-30 11:14:35	ga_s2bm_ard_3-2-1_52JDS_2023-03-30_final
2023-04-01 11:57:16	ga_s2bm_ard_3-2-1_50HKH_2023-04-01_nrt
2023-04-13 10:54:11	ga_s2bm_ard_3-2-1_52JHT_2023-04-13_final
2023-04-19 11:15:41	ga_s2bm_ard_3-2-1_51JYH_2023-04-19_final
2023-05-29 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2023-05-29_final
2023-06-27 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2023-06-27_final
2023-11-09 10:52:46	ga_s2bm_ard_3-2-1_52KHD_2023-11-09_final
2023-11-28 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2023-11-28_final
2024-01-03 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-01-03_final
2024-01-10 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2024-01-10_final
2024-01-14 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2024-01-14_final
2024-02-06 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2024-02-06_final
2024-02-16 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2024-02-16_final
2024-03-10 11:34:50	ga_s2bm_ard_3-2-1_51JWL_2024-03-10_final
2024-03-21 11:03:17	ga_s2bm_ard_3-2-1_52KFB_2024-03-21_final
2024-03-24 11:12:36	ga_s2bm_ard_3-2-1_52KDE_2024-03-24_final
2024-04-12 11:45:12	ga_s2bm_ard_3-2-1_50JNR_2024-04-12_final
2024-04-13 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2024-04-13_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

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