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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVU_2017-09-03_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUS_2017-11-25_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTP_2017-12-15_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JXK_2017-12-19_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KWA_2017-12-25_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JPL_2018-01-11_final.stac-item
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JYH_2018-01-25_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVP_2018-02-10_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWT_2018-02-10_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKP_2018-03-01_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KRD_2018-04-24_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGM_2018-05-30_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVS_2018-07-03_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JPR_2018-08-05_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KVS_2018-08-12_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGP_2018-09-10_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JVJ_2018-10-05_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HTE_2018-10-18_final.stac-item
2018-11-17 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2018-11-17_final.stac-item
2018-11-27 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2018-11-27_final.stac-item
2018-12-07 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2018-12-07_final.stac-item
2018-12-17 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2018-12-17_final.stac-item
2018-12-20 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2018-12-20_final.stac-item
2018-12-30 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2018-12-30_final.stac-item
2019-01-26 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-01-26_final.stac-item
2019-01-29 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2019-01-29_final.stac-item
2019-02-25 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-02-25_final.stac-item
2019-04-19 11:46:29	ga_s2bm_ard_3-2-1_50JNL_2019-04-19_final.stac-item
2019-05-29 11:43:12	ga_s2bm_ard_3-2-1_50KRD_2019-05-29_final.stac-item
2019-08-14 11:33:37	ga_s2bm_ard_3-2-1_51KVS_2019-08-14_final.stac-item
2019-08-24 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2019-08-24_final.stac-item
2019-09-19 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2019-09-19_final.stac-item
2019-11-12 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2019-11-12_final.stac-item
2019-11-12 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-11-12_final.stac-item
2019-11-15 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-11-15_final.stac-item
2019-11-22 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2019-11-22_final.stac-item
2020-01-05 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2020-01-05_final
2020-04-20 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2020-04-20_final.stac-item
2020-06-02 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2020-06-02_final
2020-07-09 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-07-09_final.stac-item
2020-07-18 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2020-07-18_final.stac-item
2020-10-20 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-10-20_final
2020-10-20 11:44:20	ga_s2bm_ard_3-2-1_50KRU_2020-10-20_final.stac-item
2020-10-20 11:44:34	ga_s2bm_ard_3-2-1_51JTN_2020-10-20_final.stac-item
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final.stac-item
2020-12-08 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-12-08_final.stac-item
2020-12-13 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2020-12-13_final.stac-item
2020-12-26 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2020-12-26_final.stac-item
2021-01-28 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2021-01-28_final.stac-item
2021-02-07 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-02-07_final.stac-item
2021-03-15 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-03-15_final.stac-item
2021-03-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-29_final.stac-item
2021-04-05 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2021-04-05_final.stac-item
2021-04-24 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-04-24_final.stac-item
2021-05-17 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final.stac-item
2021-07-07 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-07_final
2021-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-08-06_final
2021-08-16 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2021-08-16_final
2021-09-22 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2021-09-22_final
2021-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2021-10-05_final.stac-item
2021-10-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-10-05_final.stac-item
2021-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-10-08_final.stac-item
2021-10-11 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-11_final.stac-item
2021-12-01 11:32:42	ga_s2bm_ard_3-2-1_51KVV_2021-12-01_final.stac-item
2021-12-04 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-04_final.stac-item
2021-12-07 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2021-12-07_final.stac-item
2021-12-08 11:27:07	ga_s2bm_ard_3-2-1_51HUB_2021-12-08_final
2021-12-10 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-12-10_final.stac-item
2021-12-21 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-12-21_final.stac-item
2021-12-31 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2021-12-31_final.stac-item
2022-01-20 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2022-01-20_final.stac-item
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final.stac-item
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final.stac-item
2022-04-20 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2022-04-20_final.stac-item
2022-05-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-20_final.stac-item
2022-06-29 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2022-06-29_final.stac-item
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final.stac-item
2022-09-27 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-09-27_final.stac-item
2022-09-30 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-09-30_final.stac-item
2022-11-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2022-11-06_final.stac-item
2022-11-15 12:04:24	ga_s2bm_ard_3-2-1_50KLU_2022-11-15_final.stac-item
2022-12-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-12-19_final.stac-item
2023-01-05 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-05_final
2023-03-09 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-03-09_final
2023-03-09 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2023-03-09_final
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2023-03-09_final
2023-03-09 11:43:37	ga_s2bm_ard_3-2-1_50KRB_2023-03-09_final
2023-03-09 11:44:05	ga_s2bm_ard_3-2-1_51KTQ_2023-03-09_final
2023-03-09 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2023-03-09_final
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_final
2023-07-04 11:33:33	ga_s2bm_ard_3-2-1_51KWS_2023-07-04_final
2023-07-07 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-07_final
2023-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-10-05_final
2023-11-21 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2023-11-21_final
2023-12-14 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2023-12-14_final
2023-12-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-12-14_final
2023-12-17 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2023-12-17_final
2024-01-10 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2024-01-10_final
2024-01-19 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-01-19_final
2024-02-13 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2024-02-13_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

All years