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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HQH_2017-07-05_final.stac-item
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KBA_2017-09-27_final.stac-item
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KCE_2017-10-07_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMK_2017-12-05_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KYV_2018-01-11_final.stac-item
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_52JFN_2018-01-29_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXA_2018-01-31_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZS_2018-02-17_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52LBK_2018-02-17_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JWN_2018-02-20_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JBP_2018-05-25_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49JHM_2018-05-30_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXJ_2018-06-07_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQK_2018-08-29_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNJ_2018-09-11_final.stac-item
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JDL_2018-09-19_final.stac-item
2018-12-23 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2018-12-23_final.stac-item
2019-01-26 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-01-26_final.stac-item
2019-03-23 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2019-03-23_final.stac-item
2019-04-20 11:16:43	ga_s2bm_ard_3-2-1_51HYD_2019-04-20_final.stac-item
2019-04-29 11:42:35	ga_s2bm_ard_3-2-1_51KVA_2019-04-29_final.stac-item
2019-04-30 11:13:37	ga_s2bm_ard_3-2-1_52KEA_2019-04-30_final.stac-item
2019-06-08 11:45:32	ga_s2bm_ard_3-2-1_50JNQ_2019-06-08_final.stac-item
2019-07-01 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-07-01_final.stac-item
2019-07-04 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-04_final.stac-item
2019-07-05 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-07-05_final.stac-item
2020-01-11 11:35:25	ga_s2bm_ard_3-2-1_51JUJ_2020-01-11_final.stac-item
2020-02-13 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2020-02-13_final.stac-item
2020-04-04 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2020-04-04_final.stac-item
2020-04-07 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2020-04-07_final.stac-item
2020-04-20 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2020-04-20_final.stac-item
2020-04-28 10:55:09	ga_s2bm_ard_3-2-1_52JGP_2020-04-28_final.stac-item
2020-05-19 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2020-05-19_final.stac-item
2020-07-19 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-07-19_final.stac-item
2020-08-07 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-08-07_final.stac-item
2020-09-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-09-30_final.stac-item
2020-11-26 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2020-11-26_final.stac-item
2020-12-30 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2020-12-30_final.stac-item
2021-01-22 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2021-01-22_final.stac-item
2021-02-10 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2021-02-10_final.stac-item
2021-02-11 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2021-02-11_final.stac-item
2021-03-14 10:56:03	ga_s2bm_ard_3-2-1_52JEL_2021-03-14_final.stac-item
2021-04-09 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2021-04-09_final.stac-item
2021-05-03 10:55:57	ga_s2bm_ard_3-2-1_52JFL_2021-05-03_final.stac-item
2021-05-10 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2021-05-10_final.stac-item
2021-05-19 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2021-05-19_final.stac-item
2021-06-24 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-06-24_final.stac-item
2021-07-20 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-20_final.stac-item
2021-08-09 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-08-09_final.stac-item
2021-09-01 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-09-01_final.stac-item
2021-09-12 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2021-09-12_final.stac-item
2021-09-25 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2021-09-25_final.stac-item
2021-10-10 10:53:00	ga_s2bm_ard_3-2-1_52KHC_2021-10-10_final.stac-item
2021-11-25 11:15:20	ga_s2bm_ard_3-2-1_51JYJ_2021-11-25_final.stac-item
2021-12-08 11:25:29	ga_s2bm_ard_3-2-1_51JYH_2021-12-08_final.stac-item
2021-12-10 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2021-12-10_final.stac-item
2021-12-31 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-12-31_final.stac-item
2022-01-18 10:54:54	ga_s2bm_ard_3-2-1_52JFQ_2022-01-18_final.stac-item
2022-03-01 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2022-03-01_final.stac-item
2022-03-01 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2022-03-01_final.stac-item
2022-03-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2022-03-28_final.stac-item
2022-04-26 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2022-04-26_final.stac-item
2022-04-30 11:34:25	ga_s2bm_ard_3-2-1_51JUN_2022-04-30_final.stac-item
2022-05-26 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2022-05-26_final.stac-item
2022-07-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-07-18_final.stac-item
2022-08-06 10:54:26	ga_s2bm_ard_3-2-1_52JFT_2022-08-06_final.stac-item
2022-09-01 11:12:47	ga_s2bm_ard_3-2-1_52KED_2022-09-01_final.stac-item
2022-10-03 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2022-10-03_final.stac-item
2022-10-17 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2022-10-17_final.stac-item
2022-10-18 11:04:50	ga_s2bm_ard_3-2-1_52JDR_2022-10-18_final.stac-item
2022-10-18 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-10-18_final.stac-item
2022-10-20 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-10-20_final.stac-item
2022-11-07 11:03:40	ga_s2bm_ard_3-2-1_52KGV_2022-11-07_final.stac-item
2022-11-14 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2022-11-14_final.stac-item
2022-11-17 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2022-11-17_final.stac-item
2022-12-14 10:53:30	ga_s2bm_ard_3-2-1_52KGA_2022-12-14_final.stac-item
2022-12-14 10:55:14	ga_s2bm_ard_3-2-1_52JFP_2022-12-14_final.stac-item
2022-12-30 11:13:47	ga_s2bm_ard_3-2-1_52KDV_2022-12-30_final.stac-item
2023-01-08 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2023-01-08_final.stac-item
2023-02-01 11:21:07	ga_s2bm_ard_3-2-1_52LBL_2023-02-01_nrt.stac-item
2023-02-07 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2023-02-07_final
2023-03-27 11:06:37	ga_s2bm_ard_3-2-1_52HBJ_2023-03-27_nrt
2023-04-12 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2023-04-12_final
2023-04-25 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-04-25_final
2023-06-01 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-01_final
2023-06-17 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-17_final
2023-06-25 11:03:53	ga_s2bm_ard_3-2-1_52KEV_2023-06-25_final
2023-07-01 11:22:00	ga_s2bm_ard_3-2-1_51LZC_2023-07-01_final
2023-12-08 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-12-08_final
2023-12-28 11:21:12	ga_s2bm_ard_3-2-1_51LZF_2023-12-28_nrt
2024-01-04 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2024-01-04_final
2024-01-17 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2024-01-17_final
2024-02-07 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2024-02-07_final
2024-02-22 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2024-02-22_final
2024-03-07 11:21:05	ga_s2bm_ard_3-2-1_51LZF_2024-03-07_nrt
2024-03-07 11:25:51	ga_s2bm_ard_3-2-1_51JWG_2024-03-07_final
2024-03-24 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2024-03-24_final
2024-04-22 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2024-04-22_final
2024-05-25 11:57:14	ga_s2bm_ard_3-2-1_49HGC_2024-05-25_nrt
2024-05-30 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2024-05-30_nrt

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