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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KUT_2017-10-13_final.stac-item
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51HWD_2017-11-09_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JQN_2017-11-12_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-11-28_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUQ_2017-12-05_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HUC_2017-12-09_final.stac-item
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51HYE_2017-12-26_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZU_2017-12-29_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWB_2018-01-11_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYG_2018-01-15_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTG_2018-01-24_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KZS_2018-01-28_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KUP_2018-01-31_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVA_2018-02-10_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KXQ_2018-02-17_final.stac-item
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51HYE_2018-02-24_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HTD_2018-03-02_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPL_2018-03-15_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPH_2018-03-25_final.stac-item
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KZV_2018-03-29_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKM_2018-04-20_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JWF_2018-07-27_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KZR_2018-08-16_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JUN_2018-08-29_final.stac-item
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HYD_2018-09-12_final.stac-item
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXR_2018-11-04_final.stac-item
2018-11-10 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2018-11-10_final.stac-item
2018-11-20 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2018-11-20_final.stac-item
2019-01-23 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2019-01-23_final.stac-item
2019-01-26 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2019-01-26_final.stac-item
2019-04-15 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2019-04-15_final.stac-item
2019-07-25 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2019-07-25_final.stac-item
2019-09-03 11:36:35	ga_s2bm_ard_3-2-1_51HTE_2019-09-03_final.stac-item
2019-09-23 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2019-09-23_final.stac-item
2020-01-08 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2020-01-08_final.stac-item
2020-03-01 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2020-03-01_final.stac-item
2020-03-07 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2020-03-07_final.stac-item
2020-03-08 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-03-08_final.stac-item
2020-04-20 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2020-04-20_final.stac-item
2020-04-27 11:25:37	ga_s2bm_ard_3-2-1_51JWH_2020-04-27_final.stac-item
2020-06-19 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-06-19_final.stac-item
2020-08-05 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2020-08-05_final.stac-item
2020-08-21 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2020-08-21_final.stac-item
2020-08-21 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2020-08-21_final.stac-item
2020-09-07 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-09-07_final.stac-item
2020-10-04 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2020-10-04_final.stac-item
2020-10-04 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2020-10-04_final.stac-item
2020-11-06 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2020-11-06_final.stac-item
2020-12-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2020-12-06_final.stac-item
2020-12-19 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2020-12-19_final.stac-item
2021-01-15 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-01-15_final.stac-item
2021-01-22 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2021-01-22_final.stac-item
2021-02-11 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-02-11_final.stac-item
2021-02-11 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2021-02-11_final.stac-item
2021-02-11 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2021-02-11_final.stac-item
2021-02-13 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2021-02-13_final.stac-item
2021-03-13 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2021-03-13_final.stac-item
2021-03-16 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-03-16_final.stac-item
2021-04-09 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2021-04-09_final.stac-item
2021-05-05 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2021-05-05_final.stac-item
2021-06-03 12:04:21	ga_s2bm_ard_3-2-1_50KKV_2021-06-03_final.stac-item
2021-06-03 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-06-03_final.stac-item
2021-06-14 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-06-14_final.stac-item
2021-06-16 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-06-16_final.stac-item
2021-08-02 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-02_final.stac-item
2021-08-16 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2021-08-16_final.stac-item
2021-08-30 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2021-08-30_final.stac-item
2021-10-21 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-21_final.stac-item
2022-01-17 11:22:33	ga_s2bm_ard_3-2-1_51KZV_2022-01-17_final.stac-item
2022-02-12 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2022-02-12_final.stac-item
2022-02-16 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2022-02-16_final.stac-item
2022-03-31 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2022-03-31_final.stac-item
2022-05-09 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-05-09_final.stac-item
2022-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2022-05-23_final.stac-item
2022-05-24 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2022-05-24_final.stac-item
2022-06-18 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2022-06-18_final.stac-item
2022-07-21 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-21_final.stac-item
2022-08-04 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-08-04_final.stac-item
2022-08-25 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2022-08-25_final.stac-item
2022-08-27 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2022-08-27_final.stac-item
2022-08-31 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2022-08-31_final.stac-item
2022-10-10 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-10-10_final.stac-item
2022-12-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-12-23_final.stac-item
2023-02-24 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-02-24_final
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final
2023-04-08 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2023-04-08_final
2023-05-01 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2023-05-01_final
2023-06-07 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2023-06-07_final
2023-06-20 11:54:16	ga_s2bm_ard_3-2-1_50KMV_2023-06-20_final
2023-07-01 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-07-01_final
2023-07-10 11:57:20	ga_s2bm_ard_3-2-1_49HGC_2023-07-10_nrt
2023-07-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-07-14_final
2023-09-01 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-09-01_final
2024-01-10 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2024-01-10_final
2024-02-19 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2024-02-19_final
2024-03-07 11:22:47	ga_s2bm_ard_3-2-1_51KZU_2024-03-07_final
2024-03-24 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2024-03-24_final
2024-04-09 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2024-04-09_final
2024-04-12 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-04-12_final
2024-04-13 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2024-04-13_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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