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 11:45:05	ga_s2bm_ard_3-2-1_50HMJ_2017-07-18_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUE_2017-09-23_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JLL_2017-12-18_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGN_2018-01-03_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51JVH_2018-01-18_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50KRC_2018-02-03_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JYL_2018-02-04_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMH_2018-02-26_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKA_2018-03-01_final.stac-item
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HUC_2018-03-19_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKU_2018-04-10_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HQJ_2018-05-11_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-05-20_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KLB_2018-05-30_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HQJ_2018-06-23_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNM_2018-07-13_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JQP_2018-07-23_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGR_2018-08-21_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLN_2018-09-14_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-10-27_final.stac-item
2018-11-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2018-11-06_final.stac-item
2018-11-24 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2018-11-24_final.stac-item
2018-12-03 11:55:48	ga_s2bm_ard_3-2-1_50JMN_2018-12-03_final.stac-item
2018-12-11 11:16:34	ga_s2bm_ard_3-2-1_51HXD_2018-12-11_final.stac-item
2019-01-22 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-01-22_final.stac-item
2019-02-25 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-02-25_final.stac-item
2019-03-20 11:45:28	ga_s2bm_ard_3-2-1_51JTJ_2019-03-20_final.stac-item
2019-04-15 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2019-04-15_final.stac-item
2019-05-26 11:34:46	ga_s2bm_ard_3-2-1_51JUN_2019-05-26_final.stac-item
2019-07-25 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-07-25_final.stac-item
2019-09-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-09-19_final.stac-item
2019-09-26 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-09-26_final.stac-item
2019-10-03 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2019-10-03_final.stac-item
2019-10-09 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2019-10-09_final.stac-item
2019-10-25 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2019-10-25_final.stac-item
2019-11-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-11-04_final.stac-item
2019-11-18 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2019-11-18_final.stac-item
2019-12-29 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2019-12-29_final.stac-item
2020-01-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-01-13_final.stac-item
2020-01-30 12:03:36	ga_s2bm_ard_3-2-1_50KKB_2020-01-30_final.stac-item
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_49KHR_2020-01-30_final.stac-item
2020-02-02 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2020-02-02_final.stac-item
2020-02-02 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-02-02_final.stac-item
2020-02-09 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2020-02-09_final.stac-item
2020-05-03 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2020-05-03_final.stac-item
2020-05-19 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2020-05-19_final.stac-item
2020-07-05 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2020-07-05_final.stac-item
2020-08-21 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2020-08-21_final.stac-item
2020-09-10 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-09-10_final.stac-item
2020-09-14 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2020-09-14_final.stac-item
2020-11-29 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2020-11-29_final.stac-item
2020-12-19 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2020-12-19_final.stac-item
2021-01-04 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-01-04_final.stac-item
2021-01-22 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2021-01-22_final.stac-item
2021-03-02 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-03-02_final.stac-item
2021-05-04 12:04:15	ga_s2bm_ard_3-2-1_50KMU_2021-05-04_final.stac-item
2021-06-23 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-23_final.stac-item
2021-07-18 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2021-07-18_final.stac-item
2021-08-03 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-08-03_final.stac-item
2021-08-23 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2021-08-23_final.stac-item
2021-09-11 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-09-11_final.stac-item
2021-09-18 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-09-18_final.stac-item
2021-10-22 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-22_final.stac-item
2021-10-25 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-10-25_final.stac-item
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2021-10-31_final.stac-item
2021-11-01 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-11-01_final.stac-item
2021-11-01 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-11-01_final.stac-item
2021-12-04 11:47:05	ga_s2bm_ard_3-2-1_50HPG_2021-12-04_final
2021-12-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-12-17_final.stac-item
2021-12-27 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2021-12-27_final.stac-item
2022-04-23 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2022-04-23_final.stac-item
2022-05-16 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2022-05-16_final.stac-item
2022-06-12 11:44:26	ga_s2bm_ard_3-2-1_50KPU_2022-06-12_final.stac-item
2022-06-25 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-06-25_final
2022-08-25 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2022-08-25_final.stac-item
2022-09-10 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2022-09-10_final.stac-item
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-10-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2022-10-09_final.stac-item
2022-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-10-23_final.stac-item
2022-11-05 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-11-05_final.stac-item
2022-11-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2022-11-22_final.stac-item
2023-02-07 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2023-02-07_final
2023-02-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-02-23_final
2023-04-19 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2023-04-19_final
2023-04-22 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-04-22_final
2023-05-02 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-05-02_final
2023-05-24 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-05-24_final
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final
2023-10-08 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-10-08_final
2023-11-28 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-11-28_final
2023-12-04 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2023-12-04_final
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-12-13_final
2023-12-24 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2023-12-24_final
2024-01-02 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-01-02_final
2024-01-26 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-01-26_final
2024-02-01 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2024-02-01_final
2024-03-06 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2024-03-06_final
2024-04-13 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2024-04-13_final
2024-05-08 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-05-08_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