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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2017-08-13_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2017-09-23_final.stac-item
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51HWD_2017-10-07_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUU_2017-11-05_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUS_2017-11-15_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUU_2017-11-15_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUR_2017-12-15_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUT_2018-01-24_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQJ_2018-04-01_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JWN_2018-05-31_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUS_2018-10-31_final.stac-item
2018-11-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2018-11-09_final.stac-item
2018-12-03 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2018-12-03_final.stac-item
2018-12-04 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2018-12-04_final.stac-item
2018-12-16 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2018-12-16_final.stac-item
2019-01-22 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2019-01-22_final.stac-item
2019-01-29 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-01-29_final.stac-item
2019-02-15 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-02-15_final.stac-item
2019-03-17 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2019-03-17_final.stac-item
2019-05-19 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-05-19_final.stac-item
2019-06-24 12:06:12	ga_s2bm_ard_3-2-1_50JLM_2019-06-24_final.stac-item
2019-07-21 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-07-21_final.stac-item
2019-08-07 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-08-07_final.stac-item
2019-08-23 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2019-08-23_final.stac-item
2019-09-20 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2019-09-20_final.stac-item
2019-10-02 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-10-02_final.stac-item
2019-10-12 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-12_final.stac-item
2019-12-15 11:44:15	ga_s2bm_ard_3-2-1_51KUP_2019-12-15_final.stac-item
2019-12-15 11:44:17	ga_s2bm_ard_3-2-1_51JTN_2019-12-15_final.stac-item
2019-12-15 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2019-12-15_final.stac-item
2020-01-31 11:36:50	ga_s2bm_ard_3-2-1_51HUC_2020-01-31_final.stac-item
2020-02-13 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2020-02-13_final.stac-item
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-02-17_final.stac-item
2020-03-27 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2020-03-27_final
2020-06-13 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2020-06-13_final.stac-item
2020-07-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-01_final.stac-item
2020-09-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-09-30_final.stac-item
2020-10-10 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-10_final.stac-item
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final.stac-item
2020-11-08 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-11-08_final.stac-item
2020-11-22 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2020-11-22_final.stac-item
2020-12-16 11:35:15	ga_s2bm_ard_3-2-1_51JWJ_2020-12-16_final.stac-item
2020-12-19 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2020-12-19_final.stac-item
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-12-25_final.stac-item
2021-01-11 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-11_final.stac-item
2021-01-15 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-01-15_final.stac-item
2021-01-15 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2021-01-15_final.stac-item
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final.stac-item
2021-01-25 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-01-25_final.stac-item
2021-02-13 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2021-02-13_final.stac-item
2021-04-11 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-04-11_final.stac-item
2021-04-15 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-04-15_final.stac-item
2021-05-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-05-18_final.stac-item
2021-05-31 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-05-31_final.stac-item
2021-07-03 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-07-03_final.stac-item
2021-08-19 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-08-19_final.stac-item
2021-08-20 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-08-20_final.stac-item
2021-10-29 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-10-29_final.stac-item
2021-11-24 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2021-11-24_final.stac-item
2021-12-24 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-12-24_final.stac-item
2022-01-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-10_final.stac-item
2022-02-02 11:43:30	ga_s2bm_ard_3-2-1_50KQB_2022-02-02_final.stac-item
2022-02-08 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2022-02-08_final.stac-item
2022-02-08 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-08_final.stac-item
2022-02-19 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-02-19_final.stac-item
2022-03-24 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2022-03-24_final.stac-item
2022-03-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-03-30_final.stac-item
2022-04-10 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-04-10_final.stac-item
2022-04-12 12:13:45	ga_s2bm_ard_3-2-1_50KKA_2022-04-12_final.stac-item
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2022-07-28_final.stac-item
2022-07-29 11:34:30	ga_s2bm_ard_3-2-1_51JWN_2022-07-29_final.stac-item
2022-08-01 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-08-01_final.stac-item
2022-08-05 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2022-08-05_final.stac-item
2022-09-10 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2022-09-10_final.stac-item
2022-09-24 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-09-24_final.stac-item
2022-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-10-16_final.stac-item
2022-10-20 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2022-10-20_final.stac-item
2022-10-26 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2022-10-26_final.stac-item
2022-11-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-18_final.stac-item
2022-11-19 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-11-19_final.stac-item
2022-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-18_final.stac-item
2022-12-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-12-26_final.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-07_final.stac-item
2023-01-21 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2023-01-21_final.stac-item
2023-02-13 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2023-02-13_final
2023-04-15 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-04-15_final
2023-04-29 11:15:17	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final
2023-05-02 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-05-02_final
2023-05-25 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-05-25_final
2023-07-30 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2023-07-30_final
2023-08-23 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-08-23_final
2023-09-18 11:56:58	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final
2023-11-10 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-11-10_final
2023-11-24 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2023-11-24_final
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2023-12-20_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