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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KUU_2017-07-18_final.stac-item
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KUV_2017-08-07_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQN_2017-08-27_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JKN_2017-09-29_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-10-25_final.stac-item
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_51JYN_2017-10-27_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVT_2017-11-05_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUT_2017-11-15_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXS_2017-11-19_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUV_2018-04-04_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXU_2018-06-10_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KQC_2018-07-26_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVR_2018-08-19_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLJ_2018-10-14_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXR_2018-10-18_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUU_2018-10-21_final.stac-item
2018-12-17 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2018-12-17_final.stac-item
2018-12-27 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2018-12-27_final.stac-item
2019-01-03 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-01-03_final.stac-item
2019-03-17 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2019-03-17_final.stac-item
2019-03-24 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2019-03-24_final.stac-item
2019-04-06 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2019-04-06_final.stac-item
2019-04-16 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2019-04-16_final.stac-item
2019-04-16 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2019-04-16_final.stac-item
2019-04-26 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-04-26_final.stac-item
2019-07-18 11:42:27	ga_s2bm_ard_3-2-1_51KVB_2019-07-18_final.stac-item
2019-08-27 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2019-08-27_final.stac-item
2019-10-03 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-03_final.stac-item
2019-10-06 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-06_final.stac-item
2019-10-16 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-16_final.stac-item
2019-11-29 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-11-29_final.stac-item
2019-12-05 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2019-12-05_final.stac-item
2019-12-09 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-09_final.stac-item
2019-12-18 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-18_final.stac-item
2020-01-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2020-01-07_final.stac-item
2020-01-21 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2020-01-21_final.stac-item
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-13_final.stac-item
2020-03-24 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2020-03-24_final.stac-item
2020-03-27 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2020-03-27_final.stac-item
2020-04-30 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2020-04-30_final.stac-item
2020-05-24 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2020-05-24_final.stac-item
2020-06-06 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-06-06_final.stac-item
2020-07-09 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-07-09_final.stac-item
2020-08-21 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-08-21_final.stac-item
2020-09-07 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-07_final.stac-item
2020-09-17 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-09-17_final.stac-item
2020-10-07 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2020-10-07_final.stac-item
2020-10-10 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2020-10-10_final.stac-item
2020-11-09 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2020-11-09_final.stac-item
2020-12-22 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2020-12-22_final
2021-01-25 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2021-01-25_final.stac-item
2021-01-29 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2021-01-29_final.stac-item
2021-03-09 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-03-09_final.stac-item
2021-05-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-05-24_final.stac-item
2021-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-17_final.stac-item
2021-07-04 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-07-04_final.stac-item
2021-08-13 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2021-08-13_final.stac-item
2021-09-02 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2021-09-02_final.stac-item
2021-09-02 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2021-09-02_final.stac-item
2021-09-15 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2021-09-15_final.stac-item
2021-11-04 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2021-11-04_final.stac-item
2021-11-08 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-11-08_final.stac-item
2021-11-14 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-11-14_final.stac-item
2021-11-14 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-11-14_final.stac-item
2021-11-17 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-11-17_final.stac-item
2022-03-04 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2022-03-04_final.stac-item
2022-03-31 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-03-31_final.stac-item
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final.stac-item
2022-04-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-04-13_final.stac-item
2022-05-03 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2022-05-03_final.stac-item
2022-05-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-05-10_final.stac-item
2022-06-29 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2022-06-29_final.stac-item
2022-07-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-07-29_final.stac-item
2022-09-07 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-09-07_final.stac-item
2022-10-07 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-10-07_final.stac-item
2022-10-10 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2022-10-10_final.stac-item
2022-10-10 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-10-10_final.stac-item
2022-11-06 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-11-06_final.stac-item
2022-12-29 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-29_final.stac-item
2023-01-12 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2023-01-12_final.stac-item
2023-01-15 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-01-15_final.stac-item
2023-01-18 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-01-18_final.stac-item
2023-03-09 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-09_final
2023-03-12 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-03-12_final
2023-06-14 11:32:52	ga_s2bm_ard_3-2-1_51KVV_2023-06-14_final
2023-06-17 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-06-17_final
2023-06-27 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-06-27_final
2023-07-30 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-30_final
2023-09-28 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-28_final
2023-10-02 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-02_final
2023-10-22 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2023-10-22_final
2023-10-29 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-29_final
2023-11-04 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-11-04_final
2023-11-08 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2023-11-08_final
2023-12-04 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-12-04_final
2023-12-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-12-14_final
2024-01-23 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2024-01-23_final
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final
2024-03-23 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-03-23_final
2024-05-22 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2024-05-22_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

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