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
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KCU_2017-07-29_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPH_2017-09-23_final.stac-item
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KCU_2017-09-27_final.stac-item
2017-12-20 10:53:02	ga_s2bm_ard_3-2-1_52KHB_2017-12-20_final.stac-item
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52JCQ_2018-03-06_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQH_2018-03-22_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HPK_2018-10-01_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JVF_2018-10-05_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXH_2018-10-05_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KEV_2018-10-12_final.stac-item
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_52JGL_2018-10-23_final.stac-item
2018-12-04 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2018-12-04_final.stac-item
2019-01-26 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2019-01-26_final.stac-item
2019-01-26 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-01-26_final.stac-item
2019-03-17 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2019-03-17_final.stac-item
2019-04-20 11:14:12	ga_s2bm_ard_3-2-1_52KCU_2019-04-20_final.stac-item
2019-05-09 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-05-09_final.stac-item
2019-06-09 11:16:28	ga_s2bm_ard_3-2-1_52HBK_2019-06-09_final.stac-item
2019-07-19 11:13:16	ga_s2bm_ard_3-2-1_52KEC_2019-07-19_final.stac-item
2019-07-25 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-07-25_final.stac-item
2019-07-25 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-25_final.stac-item
2019-08-03 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2019-08-03_final.stac-item
2019-08-30 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2019-08-30_final.stac-item
2019-10-20 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2019-10-20_final.stac-item
2019-11-29 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2019-11-29_final.stac-item
2019-12-09 11:23:44	ga_s2bm_ard_3-2-1_51KZQ_2019-12-09_final.stac-item
2020-01-08 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2020-01-08_final.stac-item
2020-01-21 11:32:19	ga_s2bm_ard_3-2-1_51KXA_2020-01-21_final.stac-item
2020-01-25 11:11:05	ga_s2bm_ard_3-2-1_52LGK_2020-01-25_final.stac-item
2020-02-10 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2020-02-10_final.stac-item
2020-02-23 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2020-02-23_final.stac-item
2020-03-01 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2020-03-01_final.stac-item
2020-03-14 11:46:45	ga_s2bm_ard_3-2-1_50HNJ_2020-03-14_final.stac-item
2020-03-31 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2020-03-31_final.stac-item
2020-06-12 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2020-06-12_final.stac-item
2020-07-13 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2020-07-13_final.stac-item
2020-07-20 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2020-07-20_final.stac-item
2020-08-06 10:56:03	ga_s2bm_ard_3-2-1_52JFL_2020-08-06_final.stac-item
2020-08-17 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-17_final.stac-item
2020-09-12 10:46:02	ga_s2bm_ard_3-2-1_52JGL_2020-09-12_final.stac-item
2020-11-29 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2020-11-29_final.stac-item
2020-12-10 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2020-12-10_final.stac-item
2021-02-14 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2021-02-14_final.stac-item
2021-02-14 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-02-14_final.stac-item
2021-04-15 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-04-15_final.stac-item
2021-05-05 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2021-05-05_final.stac-item
2021-05-05 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2021-05-05_final.stac-item
2021-05-22 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-05-22_final.stac-item
2021-05-23 10:56:00	ga_s2bm_ard_3-2-1_52JFL_2021-05-23_final.stac-item
2021-05-24 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2021-05-24_final.stac-item
2021-05-26 11:05:20	ga_s2bm_ard_3-2-1_52JDP_2021-05-26_final.stac-item
2021-06-10 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-06-10_final.stac-item
2021-07-05 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2021-07-05_final.stac-item
2021-07-05 11:04:19	ga_s2bm_ard_3-2-1_52JET_2021-07-05_final.stac-item
2021-07-31 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2021-07-31_final.stac-item
2021-08-04 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2021-08-04_final.stac-item
2021-09-11 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2021-09-11_final.stac-item
2021-10-10 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-10-10_final.stac-item
2021-11-22 11:04:21	ga_s2bm_ard_3-2-1_52JGS_2021-11-22_final.stac-item
2022-01-31 11:04:05	ga_s2bm_ard_3-2-1_52JGT_2022-01-31_final.stac-item
2022-04-14 11:15:47	ga_s2bm_ard_3-2-1_52JBM_2022-04-14_final.stac-item
2022-04-21 11:05:54	ga_s2bm_ard_3-2-1_52JEL_2022-04-21_final.stac-item
2022-05-31 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2022-05-31_final.stac-item
2022-06-08 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2022-06-08_final.stac-item
2022-06-10 11:06:08	ga_s2bm_ard_3-2-1_52JCL_2022-06-10_final.stac-item
2022-06-30 11:01:55	ga_s2bm_ard_3-2-1_52LFH_2022-06-30_final.stac-item
2022-07-06 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-07-06_final.stac-item
2022-08-12 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2022-08-12_final.stac-item
2022-09-19 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2022-09-19_final.stac-item
2022-09-23 13:31:40	ga_s2bm_ard_3-2-1_46LHM_2022-09-23_interim
2022-10-18 11:04:57	ga_s2bm_ard_3-2-1_52JFQ_2022-10-18_final.stac-item
2022-12-17 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2022-12-17_final.stac-item
2023-01-05 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-01-05_final.stac-item
2023-01-18 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2023-01-18_final.stac-item
2023-01-21 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2023-01-21_final.stac-item
2023-02-01 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2023-02-01_final.stac-item
2023-02-21 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-02-21_final
2023-02-21 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2023-02-21_final
2023-02-25 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2023-02-25_final
2023-02-28 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2023-02-28_final
2023-03-07 11:01:17	ga_s2bm_ard_3-2-1_52LHK_2023-03-07_final
2023-04-05 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-04-05_nrt
2023-05-05 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-05-05_final
2023-06-10 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2023-06-10_final
2023-06-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-06-14_final
2023-11-08 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2023-11-08_final
2023-11-11 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-11-11_final
2023-11-11 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2023-11-11_final
2023-11-12 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2023-11-12_final
2023-11-19 10:52:42	ga_s2bm_ard_3-2-1_52KHD_2023-11-19_final
2023-11-28 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-11-28_final
2023-11-30 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-11-30_final
2023-12-25 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2023-12-25_final
2024-01-03 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-01-03_final
2024-01-14 11:11:50	ga_s2bm_ard_3-2-1_52LDH_2024-01-14_final
2024-01-20 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2024-01-20_final
2024-01-21 11:03:30	ga_s2bm_ard_3-2-1_52KFA_2024-01-21_final
2024-01-23 11:44:01	ga_s2bm_ard_3-2-1_51KTQ_2024-01-23_final
2024-03-04 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2024-03-04_final
2024-03-14 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2024-03-14_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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