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
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2017-08-06_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMK_2017-08-27_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HTC_2018-01-31_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KYU_2018-04-08_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HUD_2018-04-18_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KUU_2018-04-24_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWA_2018-05-01_final.stac-item
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JBM_2018-05-12_final.stac-item
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JDR_2018-05-12_final.stac-item
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52KCA_2018-05-15_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HPH_2018-05-24_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KYP_2018-06-07_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HUC_2018-06-10_final.stac-item
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_51KZR_2018-07-14_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KVP_2018-07-30_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HXD_2018-08-16_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50KKU_2018-08-18_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KYU_2018-09-05_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKN_2018-09-07_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-11_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKN_2018-10-07_final.stac-item
2019-01-23 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2019-01-23_final.stac-item
2019-03-11 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2019-03-11_final.stac-item
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2019-03-16_final.stac-item
2019-04-20 11:13:19	ga_s2bm_ard_3-2-1_52KCC_2019-04-20_final.stac-item
2019-05-10 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-05-10_final.stac-item
2019-05-26 11:31:51	ga_s2bm_ard_3-2-1_51LXD_2019-05-26_final.stac-item
2019-06-29 11:13:30	ga_s2bm_ard_3-2-1_52KCB_2019-06-29_final.stac-item
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final.stac-item
2019-07-17 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-17_final.stac-item
2019-07-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-07-25_final.stac-item
2019-08-30 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2019-08-30_final.stac-item
2019-09-13 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2019-09-13_final.stac-item
2019-09-21 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2019-09-21_final.stac-item
2019-10-03 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2019-10-03_final.stac-item
2019-10-20 11:22:25	ga_s2bm_ard_3-2-1_51KZA_2019-10-20_final.stac-item
2019-11-15 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-11-15_final.stac-item
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-11-25_final.stac-item
2019-12-15 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2019-12-15_final.stac-item
2019-12-29 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2019-12-29_final.stac-item
2019-12-29 11:25:52	ga_s2bm_ard_3-2-1_51JWG_2019-12-29_final.stac-item
2020-01-31 11:36:55	ga_s2bm_ard_3-2-1_50HQH_2020-01-31_final.stac-item
2020-02-07 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2020-02-07_final.stac-item
2020-04-06 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2020-04-06_final.stac-item
2020-04-30 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2020-04-30_final.stac-item
2020-05-04 11:13:33	ga_s2bm_ard_3-2-1_52KCA_2020-05-04_final.stac-item
2020-05-06 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-05-06_final.stac-item
2020-07-09 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2020-07-09_final.stac-item
2020-07-19 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2020-07-19_final.stac-item
2020-09-06 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2020-09-06_final.stac-item
2020-09-30 11:43:39	ga_s2bm_ard_3-2-1_51KVR_2020-09-30_final.stac-item
2020-11-03 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2020-11-03_final.stac-item
2020-11-05 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-11-05_final.stac-item
2020-11-25 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-25_final.stac-item
2021-01-02 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-01-02_final.stac-item
2021-02-07 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2021-02-07_final.stac-item
2021-03-07 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2021-03-07_final.stac-item
2021-04-01 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-04-01_final.stac-item
2021-05-02 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-05-02_final.stac-item
2021-05-09 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2021-05-09_final.stac-item
2021-06-11 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2021-06-11_final.stac-item
2021-06-17 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-06-17_final.stac-item
2021-08-30 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-30_final.stac-item
2021-09-16 11:12:49	ga_s2bm_ard_3-2-1_52KCD_2021-09-16_final.stac-item
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final.stac-item
2021-10-19 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2021-10-19_final.stac-item
2021-11-02 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2021-11-02_final.stac-item
2021-11-14 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-11-14_final.stac-item
2021-11-23 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-11-23_final.stac-item
2021-12-11 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2021-12-11_final.stac-item
2021-12-19 10:55:16	ga_s2bm_ard_3-2-1_52JEP_2021-12-19_final.stac-item
2022-01-07 11:21:21	ga_s2bm_ard_3-2-1_51LZE_2022-01-07_final.stac-item
2022-01-23 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-01-23_final.stac-item
2022-02-16 11:22:35	ga_s2bm_ard_3-2-1_51KYV_2022-02-16_final.stac-item
2022-03-15 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2022-03-15_final.stac-item
2022-04-24 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2022-04-24_final.stac-item
2022-06-12 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2022-06-12_final.stac-item
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final.stac-item
2022-06-16 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2022-06-16_final.stac-item
2022-06-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-06-29_final.stac-item
2022-07-26 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2022-07-26_final.stac-item
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final.stac-item
2022-09-04 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2022-09-04_final.stac-item
2022-09-20 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-09-20_final.stac-item
2022-10-14 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2022-10-14_final.stac-item
2022-11-30 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2022-11-30_final.stac-item
2023-01-02 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-02_final.stac-item
2023-04-09 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2023-04-09_final
2023-04-18 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2023-04-18_final
2023-06-01 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2023-06-01_final
2023-06-03 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-06-03_final
2023-08-04 11:04:23	ga_s2bm_ard_3-2-1_52JET_2023-08-04_final
2023-08-27 11:15:08	ga_s2bm_ard_3-2-1_52JCQ_2023-08-27_final
2023-10-31 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-10-31_final
2023-11-10 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-11-10_final
2023-11-20 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-11-20_final
2023-12-28 11:24:06	ga_s2bm_ard_3-2-1_52KBU_2023-12-28_final
2024-01-20 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2024-01-20_final
2024-02-09 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2024-02-09_final
2024-03-09 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2024-03-09_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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