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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWT_2017-11-12_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVS_2017-11-22_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPJ_2018-01-11_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KRB_2018-01-14_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KVT_2018-03-15_final.stac-item
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KVT_2018-06-30_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVV_2018-07-13_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLR_2018-08-05_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JKN_2018-10-04_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUV_2018-10-11_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXS_2018-10-28_final.stac-item
2018-11-14 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2018-11-14_final.stac-item
2018-12-10 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2018-12-10_final.stac-item
2018-12-17 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-17_final.stac-item
2019-01-06 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-01-06_final.stac-item
2019-01-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2019-01-06_final.stac-item
2019-01-16 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-01-16_final.stac-item
2019-01-19 11:43:29	ga_s2bm_ard_3-2-1_51KTS_2019-01-19_final.stac-item
2019-02-18 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-02-18_final.stac-item
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final.stac-item
2019-04-16 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2019-04-16_final.stac-item
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final.stac-item
2019-06-15 11:33:16	ga_s2bm_ard_3-2-1_51KXT_2019-06-15_final.stac-item
2019-06-25 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-06-25_final.stac-item
2019-07-25 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-07-25_final.stac-item
2019-08-30 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2019-08-30_final.stac-item
2019-09-03 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2019-09-03_final.stac-item
2019-09-13 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-09-13_final.stac-item
2019-09-16 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-09-16_final.stac-item
2019-10-22 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-10-22_final.stac-item
2019-10-23 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-23_final.stac-item
2019-11-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-11-05_final.stac-item
2019-11-05 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2019-11-05_final.stac-item
2019-11-12 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-11-12_final.stac-item
2019-11-15 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2019-11-15_final.stac-item
2019-12-14 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-14_final.stac-item
2019-12-21 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-21_final.stac-item
2019-12-22 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-12-22_final.stac-item
2019-12-28 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2019-12-28_final.stac-item
2020-02-09 12:03:32	ga_s2bm_ard_3-2-1_50KMB_2020-02-09_final.stac-item
2020-02-19 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2020-02-19_final.stac-item
2020-03-01 11:34:37	ga_s2bm_ard_3-2-1_51JWM_2020-03-01_final.stac-item
2020-03-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2020-03-14_final.stac-item
2020-03-24 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2020-03-24_final.stac-item
2020-03-31 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-31_final.stac-item
2020-04-23 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2020-04-23_final.stac-item
2020-06-19 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-19_final.stac-item
2020-06-29 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-29_final.stac-item
2020-07-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-07-28_final.stac-item
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final.stac-item
2020-09-04 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-09-04_final.stac-item
2020-09-04 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2020-09-04_final.stac-item
2020-09-20 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-09-20_final.stac-item
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final.stac-item
2020-10-27 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-10-27_final.stac-item
2020-10-27 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-10-27_final.stac-item
2020-12-03 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2020-12-03_final.stac-item
2021-01-29 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-29_final
2021-02-04 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-02-04_final.stac-item
2021-03-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-09_final.stac-item
2021-04-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-04-15_final.stac-item
2021-04-22 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2021-04-22_final.stac-item
2021-05-05 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2021-05-05_final.stac-item
2021-06-10 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-10_final.stac-item
2021-10-12 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-10-12_final.stac-item
2021-10-15 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-15_final.stac-item
2021-11-04 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-11-04_final.stac-item
2021-12-31 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-12-31_final.stac-item
2022-01-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-13_final.stac-item
2022-01-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2022-01-20_final.stac-item
2022-02-08 12:03:14	ga_s2bm_ard_3-2-1_50KNC_2022-02-08_final.stac-item
2022-03-31 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-03-31_final.stac-item
2022-04-10 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2022-04-10_final.stac-item
2022-05-27 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-05-27_final.stac-item
2022-07-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-07-19_final.stac-item
2022-08-14 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2022-08-14_final
2022-09-07 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2022-09-07_final.stac-item
2022-10-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-10-09_final.stac-item
2022-10-20 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2022-10-20_final.stac-item
2022-11-09 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-11-09_final.stac-item
2022-11-13 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2022-11-13_final.stac-item
2022-12-16 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2022-12-16_final.stac-item
2022-12-23 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2022-12-23_final.stac-item
2023-01-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-01-08_final.stac-item
2023-01-15 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2023-01-15_final.stac-item
2023-01-22 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2023-01-22_final.stac-item
2023-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-17_final
2023-03-06 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2023-03-06_final
2023-03-29 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-03-29_final
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_final
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final
2023-08-03 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2023-08-03_final
2023-10-22 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-22_final
2023-11-11 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-11-11_final
2023-11-21 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2023-11-21_final
2023-12-11 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-12-11_final
2023-12-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-12-14_final
2024-01-02 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-01-02_final
2024-01-23 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2024-01-23_final
2024-04-02 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2024-04-02_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