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 11:27:30	ga_s2bm_ard_3-2-1_51KYT_2017-07-05_final.stac-item
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51HXD_2017-10-07_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-05_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWA_2018-01-01_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KZU_2018-01-08_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXP_2018-01-21_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51LXC_2018-02-20_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KWP_2018-05-28_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KYA_2018-07-07_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-07-12_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-11_final.stac-item
2018-11-10 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2018-11-10_final.stac-item
2018-11-14 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2018-11-14_final.stac-item
2018-12-01 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2018-12-01_final.stac-item
2019-01-13 11:23:53	ga_s2bm_ard_3-2-1_51KYQ_2019-01-13_final.stac-item
2019-01-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-19_final.stac-item
2019-01-26 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-01-26_final.stac-item
2019-02-05 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-02-05_final.stac-item
2019-02-08 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-02-08_final.stac-item
2019-02-22 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-02-22_final.stac-item
2019-02-28 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2019-02-28_final.stac-item
2019-03-03 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-03-03_final.stac-item
2019-03-10 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2019-03-10_final.stac-item
2019-04-15 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2019-04-15_final.stac-item
2019-06-14 12:03:30	ga_s2bm_ard_3-2-1_50KMC_2019-06-14_final.stac-item
2019-06-14 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-06-14_final.stac-item
2019-07-16 11:06:07	ga_s2bm_ard_3-2-1_52JBM_2019-07-16_final.stac-item
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final.stac-item
2019-08-24 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2019-08-24_final.stac-item
2019-09-17 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2019-09-17_final.stac-item
2019-09-27 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2019-09-27_final.stac-item
2019-11-09 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2019-11-09_final.stac-item
2020-01-14 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2020-01-14_final.stac-item
2020-01-18 11:21:19	ga_s2bm_ard_3-2-1_51LZE_2020-01-18_final.stac-item
2020-02-06 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2020-02-06_final.stac-item
2020-02-19 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2020-02-19_final.stac-item
2020-02-20 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-02-20_final.stac-item
2020-03-04 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2020-03-04_final.stac-item
2020-04-03 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-04-03_final.stac-item
2020-04-23 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final.stac-item
2020-05-17 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2020-05-17_final.stac-item
2020-05-29 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-05-29_final.stac-item
2020-07-22 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2020-07-22_final.stac-item
2020-08-17 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-08-17_final.stac-item
2020-09-16 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-09-16_final.stac-item
2020-09-26 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-26_final.stac-item
2020-10-27 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-10-27_final.stac-item
2020-11-15 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2020-11-15_final.stac-item
2021-01-28 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-01-28_final.stac-item
2021-02-04 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-02-04_final.stac-item
2021-02-17 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-02-17_final.stac-item
2021-02-27 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-02-27_final.stac-item
2021-04-25 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2021-04-25_final.stac-item
2021-05-08 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2021-05-08_final.stac-item
2021-05-21 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-05-21_final.stac-item
2021-07-03 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-07-03_final.stac-item
2021-07-27 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2021-07-27_final.stac-item
2021-07-30 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2021-07-30_final
2021-08-06 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-08-06_final.stac-item
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final
2021-09-12 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2021-09-12_final.stac-item
2021-09-29 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2021-09-29_final.stac-item
2021-10-12 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-12_final.stac-item
2021-11-01 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2021-11-01_final.stac-item
2021-11-07 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-11-07_final.stac-item
2021-12-21 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-12-21_final.stac-item
2022-01-03 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-01-03_final.stac-item
2022-01-20 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2022-01-20_final.stac-item
2022-01-23 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-01-23_final.stac-item
2022-02-16 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2022-02-16_final.stac-item
2022-02-23 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2022-02-23_final.stac-item
2022-02-26 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2022-02-26_final.stac-item
2022-04-03 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2022-04-03_final.stac-item
2022-06-16 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2022-06-16_final.stac-item
2022-07-23 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-07-23_final.stac-item
2022-08-28 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2022-08-28_final.stac-item
2022-08-31 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2022-08-31_final.stac-item
2022-08-31 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-31_final.stac-item
2022-09-14 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2022-09-14_final.stac-item
2022-09-20 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2022-09-20_final.stac-item
2022-09-27 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2022-09-27_final.stac-item
2022-10-17 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2022-10-17_final.stac-item
2022-10-21 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-10-21_final.stac-item
2022-10-30 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2022-10-30_final.stac-item
2022-10-31 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2022-10-31_final.stac-item
2023-01-14 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2023-01-14_final.stac-item
2023-02-17 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-02-17_final
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2023-02-23_final
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final
2023-07-07 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-07-07_final
2023-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-07-07_final
2023-07-07 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-07_final
2023-07-24 11:32:06	ga_s2bm_ard_3-2-1_51LWC_2023-07-24_final
2023-07-31 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2023-07-31_final
2023-12-21 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-12-21_final
2024-01-17 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-01-17_final
2024-01-30 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2024-01-30_final
2024-02-19 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2024-02-19_final
2024-03-02 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2024-03-02_final
2024-03-17 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2024-03-17_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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