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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HLK_2017-07-31_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51JVH_2017-11-02_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KVV_2017-11-15_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JVN_2018-01-11_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final.stac-item
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HUC_2018-03-29_final.stac-item
2018-05-11 11:26:19	ga_s2bm_ard_3-2-1_51KWA_2018-05-11_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-22_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMM_2018-10-14_final.stac-item
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KWA_2018-10-18_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-10-27_final.stac-item
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2018-11-29_final.stac-item
2018-12-07 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2018-12-07_final.stac-item
2018-12-10 11:42:15	ga_s2bm_ard_3-2-1_51KWA_2018-12-10_final.stac-item
2019-01-05 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-01-05_final.stac-item
2019-03-30 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2019-03-30_final.stac-item
2019-05-09 11:42:50	ga_s2bm_ard_3-2-1_51KVV_2019-05-09_final.stac-item
2019-05-10 11:14:32	ga_s2bm_ard_3-2-1_51JZN_2019-05-10_final.stac-item
2019-05-25 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-25_final.stac-item
2019-06-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-06-24_final.stac-item
2019-09-25 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-25_final.stac-item
2019-10-19 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2019-10-19_final.stac-item
2019-11-05 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-11-05_final.stac-item
2019-11-11 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-11-11_final.stac-item
2019-12-02 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2019-12-02_final.stac-item
2019-12-05 11:42:21	ga_s2bm_ard_3-2-1_51KVA_2019-12-05_final.stac-item
2019-12-15 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2019-12-15_final.stac-item
2019-12-19 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2019-12-19_final.stac-item
2019-12-21 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-21_final.stac-item
2020-02-12 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2020-02-12_final.stac-item
2020-03-08 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2020-03-08_final.stac-item
2020-03-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-03-17_final.stac-item
2020-04-27 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2020-04-27_final.stac-item
2020-05-16 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2020-05-16_final.stac-item
2020-05-23 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2020-05-23_final.stac-item
2020-07-23 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2020-07-23_final.stac-item
2020-07-25 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-07-25_final.stac-item
2020-07-25 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-07-25_final.stac-item
2020-07-28 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2020-07-28_final.stac-item
2020-08-04 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2020-08-04_final.stac-item
2020-08-17 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-08-17_final.stac-item
2020-08-21 11:44:49	ga_s2bm_ard_3-2-1_51JTM_2020-08-21_final.stac-item
2020-08-28 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2020-08-28_final.stac-item
2020-09-20 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2020-09-20_final.stac-item
2020-10-24 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2020-10-24_final.stac-item
2020-11-25 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2020-11-25_final.stac-item
2020-11-29 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2020-11-29_final.stac-item
2020-12-03 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2020-12-03_final.stac-item
2021-01-08 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2021-01-08_final.stac-item
2021-02-20 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2021-02-20_final.stac-item
2021-04-01 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-04-01_final.stac-item
2021-04-11 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2021-04-11_final.stac-item
2021-05-02 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2021-05-02_final.stac-item
2021-06-11 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2021-06-11_final.stac-item
2021-06-20 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-06-20_final.stac-item
2021-07-06 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2021-07-06_final.stac-item
2021-07-14 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-14_final.stac-item
2021-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2021-07-27_final.stac-item
2021-07-31 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-07-31_final.stac-item
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final.stac-item
2021-09-22 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2021-09-22_final
2021-10-21 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-10-21_final.stac-item
2021-10-22 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2021-10-22_final.stac-item
2021-11-30 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-11-30_final.stac-item
2021-12-11 11:35:45	ga_s2bm_ard_3-2-1_50JQN_2021-12-11_final.stac-item
2021-12-20 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-12-20_final.stac-item
2021-12-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-12-27_final.stac-item
2022-01-20 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2022-01-20_final.stac-item
2022-02-05 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2022-02-05_final.stac-item
2022-02-25 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2022-02-25_final.stac-item
2022-03-20 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-03-20_final.stac-item
2022-03-27 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2022-03-27_final.stac-item
2022-04-30 11:34:30	ga_s2bm_ard_3-2-1_50JRT_2022-04-30_final.stac-item
2022-05-23 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2022-05-23_final.stac-item
2022-05-27 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-05-27_final.stac-item
2022-06-12 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2022-06-12_final.stac-item
2022-06-19 11:36:00	ga_s2bm_ard_3-2-1_51JVG_2022-06-19_final.stac-item
2022-07-11 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2022-07-11_final.stac-item
2022-08-25 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2022-08-25_final.stac-item
2022-09-07 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2022-09-07_final.stac-item
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final.stac-item
2022-10-31 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2022-10-31_final.stac-item
2022-12-20 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2022-12-20_final.stac-item
2022-12-20 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2022-12-20_final.stac-item
2023-01-05 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-01-05_final.stac-item
2023-02-17 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-02-17_final
2023-02-24 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2023-02-24_final
2023-03-30 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2023-03-30_final
2023-05-05 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-05-05_final
2023-06-10 11:53:36	ga_s2bm_ard_3-2-1_50KMC_2023-06-10_final
2023-07-14 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2023-07-14_final
2023-08-02 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-08-02_final
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-08-02_final
2023-08-23 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-08-23_final
2023-09-02 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-09-02_final
2023-09-22 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-22_final
2023-10-15 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2023-10-15_final
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-12-13_final
2024-04-26 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2024-04-26_final
2024-05-01 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-05-01_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