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
2017-09-25 12:13:30	ga_s2bm_ard_3-2-1_50KKA_2017-09-25_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KLC_2017-10-12_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLP_2017-11-21_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRC_2017-11-25_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HQJ_2017-12-12_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-14_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRC_2017-12-25_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JRS_2018-01-04_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JUH_2018-05-11_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51JWH_2018-05-28_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KMV_2018-06-09_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-06-19_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-06-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPK_2018-07-23_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLK_2018-08-25_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HQK_2018-09-18_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KMA_2018-09-27_final.stac-item
2018-12-30 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2018-12-30_final.stac-item
2019-02-12 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2019-02-12_final.stac-item
2019-03-24 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2019-03-24_final.stac-item
2019-04-16 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2019-04-16_final.stac-item
2019-04-19 11:43:31	ga_s2bm_ard_3-2-1_51KVS_2019-04-19_final.stac-item
2019-04-19 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2019-04-19_final.stac-item
2019-04-19 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-04-19_final.stac-item
2019-04-26 11:36:55	ga_s2bm_ard_3-2-1_50HQJ_2019-04-26_final.stac-item
2019-06-14 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-06-14_final.stac-item
2019-08-30 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2019-08-30_final.stac-item
2019-08-31 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2019-08-31_final.stac-item
2019-09-02 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-09-02_final.stac-item
2019-09-23 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-09-23_final.stac-item
2019-11-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-11-02_final.stac-item
2019-11-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-11-05_final.stac-item
2019-11-09 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-11-09_final.stac-item
2020-02-06 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2020-02-06_final.stac-item
2020-02-07 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2020-02-07_final.stac-item
2020-04-19 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2020-04-19_final.stac-item
2020-05-19 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2020-05-19_final.stac-item
2020-07-02 11:45:09	ga_s2bm_ard_3-2-1_50JPR_2020-07-02_final.stac-item
2020-08-08 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2020-08-08_final.stac-item
2020-08-27 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-27_final.stac-item
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final.stac-item
2020-11-19 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2020-11-19_final.stac-item
2020-12-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-12-08_final.stac-item
2021-01-08 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-01-08_final.stac-item
2021-01-18 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-01-18_final.stac-item
2021-02-04 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2021-02-04_final.stac-item
2021-02-17 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-02-17_final.stac-item
2021-03-03 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-03_final.stac-item
2021-03-06 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-06_final.stac-item
2021-03-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-12_final.stac-item
2021-04-18 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-04-18_final.stac-item
2021-05-01 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2021-05-01_final.stac-item
2021-05-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-05-15_final.stac-item
2021-05-22 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-05-22_final.stac-item
2021-05-28 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-05-28_final.stac-item
2021-06-23 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-06-23_final.stac-item
2021-08-22 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-08-22_final.stac-item
2021-09-11 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-09-11_final.stac-item
2021-10-02 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-10-02_final.stac-item
2021-10-22 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-10-22_final.stac-item
2021-10-29 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-10-29_final.stac-item
2021-11-04 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-11-04_final
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final.stac-item
2022-02-05 11:53:48	ga_s2bm_ard_3-2-1_50KNA_2022-02-05_final.stac-item
2022-04-13 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2022-04-13_final.stac-item
2022-04-29 12:03:34	ga_s2bm_ard_3-2-1_50KLB_2022-04-29_final.stac-item
2022-05-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-22_final.stac-item
2022-06-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-06-05_final.stac-item
2022-06-25 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2022-06-25_final.stac-item
2022-08-02 11:16:13	ga_s2bm_ard_3-2-1_51JYF_2022-08-02_final.stac-item
2022-10-10 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-10-10_final.stac-item
2022-11-29 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-11-29_final.stac-item
2022-12-26 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2022-12-26_final.stac-item
2023-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-04_final.stac-item
2023-01-15 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-01-15_final.stac-item
2023-01-22 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2023-01-22_final.stac-item
2023-01-31 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2023-01-31_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-04-28_final
2023-05-14 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-05-14_final
2023-05-18 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-05-18_final
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final
2023-08-13 11:33:40	ga_s2bm_ard_3-2-1_51KUS_2023-08-13_final
2023-08-22 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2023-08-22_final
2023-08-26 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-08-26_final
2023-08-30 11:26:01	ga_s2bm_ard_3-2-1_51JWG_2023-08-30_final
2023-09-02 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-09-02_final
2023-10-19 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-19_final
2023-10-21 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-21_final
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final
2023-11-14 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2023-11-14_final
2023-11-21 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2023-11-21_final
2024-01-16 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-01-16_final
2024-01-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2024-01-16_final
2024-01-30 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2024-01-30_final
2024-02-22 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-02-22_final
2024-02-28 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-02-28_final
2024-03-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-03-03_final
2024-03-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-30_final
2024-05-05 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2024-05-05_final
2024-05-12 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2024-05-12_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