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_51KYT_2017-07-05_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWU_2017-11-12_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTC_2018-01-11_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWQ_2018-01-11_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52JBN_2018-03-26_final.stac-item
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50JMR_2018-04-27_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXR_2018-05-11_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KWA_2018-05-24_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLT_2018-07-09_final.stac-item
2018-07-19 12:02:47	ga_s2bm_ard_3-2-1_50KNC_2018-07-19_final.stac-item
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HWE_2018-08-03_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNL_2018-08-05_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HTD_2018-09-18_final.stac-item
2018-11-23 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2018-11-23_final.stac-item
2018-12-31 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2018-12-31_final.stac-item
2019-01-06 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2019-01-06_final.stac-item
2019-01-19 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-01-19_final.stac-item
2019-02-02 11:21:26	ga_s2bm_ard_3-2-1_51LZE_2019-02-02_final.stac-item
2019-02-15 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2019-02-15_final.stac-item
2019-02-19 11:12:52	ga_s2bm_ard_3-2-1_52KCD_2019-02-19_final.stac-item
2019-03-02 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2019-03-02_final.stac-item
2019-03-10 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2019-03-10_final.stac-item
2019-05-19 11:43:44	ga_s2bm_ard_3-2-1_51KVR_2019-05-19_final.stac-item
2019-05-20 11:13:34	ga_s2bm_ard_3-2-1_52KBB_2019-05-20_final.stac-item
2019-06-15 11:34:18	ga_s2bm_ard_3-2-1_51KWP_2019-06-15_final.stac-item
2019-07-18 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-18_final.stac-item
2019-09-23 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2019-09-23_final.stac-item
2020-01-21 11:32:22	ga_s2bm_ard_3-2-1_51KWA_2020-01-21_final.stac-item
2020-02-10 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-02-10_final.stac-item
2020-02-13 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2020-02-13_final.stac-item
2020-02-27 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2020-02-27_final.stac-item
2020-04-07 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2020-04-07_final.stac-item
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final.stac-item
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final.stac-item
2020-08-07 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2020-08-07_final.stac-item
2020-10-10 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2020-10-10_final.stac-item
2020-11-11 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2020-11-11_final.stac-item
2020-11-13 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2020-11-13_final.stac-item
2020-11-13 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2020-11-13_final.stac-item
2021-01-01 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-01-01_final.stac-item
2021-01-13 10:55:17	ga_s2bm_ard_3-2-1_52JGP_2021-01-13_final.stac-item
2021-03-12 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-03-12_final.stac-item
2021-03-16 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2021-03-16_final.stac-item
2021-03-26 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-03-26_final.stac-item
2021-04-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2021-04-05_final
2021-05-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-05-18_final.stac-item
2021-06-11 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-06-11_final.stac-item
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final.stac-item
2021-07-03 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-07-03_final.stac-item
2021-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-17_final
2021-08-11 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-08-11_final.stac-item
2021-08-16 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-08-16_final
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final.stac-item
2021-09-06 11:14:05	ga_s2bm_ard_3-2-1_52KBU_2021-09-06_final.stac-item
2021-09-18 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2021-09-18_final.stac-item
2021-10-16 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2021-10-16_final.stac-item
2021-11-18 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2021-11-18_final.stac-item
2021-12-01 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2021-12-01_final.stac-item
2021-12-27 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2021-12-27_final.stac-item
2022-01-10 11:31:35	ga_s2bm_ard_3-2-1_51LYD_2022-01-10_final.stac-item
2022-01-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-16_final.stac-item
2022-01-16 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-16_final.stac-item
2022-03-28 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2022-03-28_final.stac-item
2022-05-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-05-19_final.stac-item
2022-06-23 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-06-23_final.stac-item
2022-07-06 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2022-07-06_final.stac-item
2022-08-21 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2022-08-21_final.stac-item
2022-09-17 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2022-09-17_final.stac-item
2022-10-27 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2022-10-27_final.stac-item
2022-11-23 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2022-11-23_final.stac-item
2022-11-26 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2022-11-26_final.stac-item
2022-12-09 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-12-09_final.stac-item
2022-12-09 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2022-12-09_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2023-01-29 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2023-01-29_final.stac-item
2023-02-04 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2023-02-04_final.stac-item
2023-02-21 11:23:53	ga_s2bm_ard_3-2-1_51KYQ_2023-02-21_final
2023-02-28 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2023-02-28_final
2023-04-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-04-05_final
2023-04-08 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-08_final
2023-05-08 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-05-08_final
2023-05-09 11:15:21	ga_s2bm_ard_3-2-1_52JCP_2023-05-09_final
2023-06-11 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-06-11_final
2023-06-13 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-06-13_final
2023-07-04 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-07-04_final
2023-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-07_final
2023-09-12 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-09-12_final
2023-10-29 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-10-29_final
2023-11-07 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-11-07_final
2023-11-15 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2023-11-15_final
2023-11-28 11:22:49	ga_s2bm_ard_3-2-1_51KZU_2023-11-28_final
2023-12-01 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-12-01_final
2023-12-08 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2023-12-08_final
2023-12-28 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2023-12-28_final
2024-02-12 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-02-12_final
2024-02-12 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2024-02-12_final
2024-02-25 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2024-02-25_final
2024-03-27 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-03-27_final
2024-04-30 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2024-04-30_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