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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-09-22_final.stac-item
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_51KZQ_2017-09-27_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HVE_2018-01-28_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JUF_2018-01-28_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVN_2018-01-31_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HQH_2018-02-03_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZV_2018-02-17_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JWJ_2018-02-17_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVS_2018-05-31_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51LUF_2018-06-03_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KYT_2018-06-07_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JNL_2018-07-26_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGK_2018-08-18_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KMB_2018-09-14_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JYK_2018-10-25_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JKP_2018-11-03_final.stac-item
2018-11-11 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2018-11-11_final.stac-item
2018-11-11 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2018-11-11_final.stac-item
2018-12-06 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2018-12-06_final.stac-item
2019-01-06 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2019-01-06_final.stac-item
2019-01-26 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2019-01-26_final.stac-item
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final.stac-item
2019-04-12 11:54:42	ga_s2bm_ard_3-2-1_50JNT_2019-04-12_final.stac-item
2019-04-16 11:32:25	ga_s2bm_ard_3-2-1_51KVB_2019-04-16_final.stac-item
2019-06-07 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-06-07_final.stac-item
2019-06-08 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-06-08_final.stac-item
2019-08-14 11:36:58	ga_s2bm_ard_3-2-1_50HPJ_2019-08-14_final.stac-item
2019-08-18 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2019-08-18_final.stac-item
2019-08-24 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-08-24_final.stac-item
2019-09-12 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2019-09-12_final.stac-item
2019-10-20 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2019-10-20_final.stac-item
2019-12-11 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2019-12-11_final.stac-item
2019-12-16 11:16:03	ga_s2bm_ard_3-2-1_51JYF_2019-12-16_final.stac-item
2020-01-08 11:25:37	ga_s2bm_ard_3-2-1_51JWH_2020-01-08_final.stac-item
2020-02-10 11:34:31	ga_s2bm_ard_3-2-1_51JTN_2020-02-10_final.stac-item
2020-04-07 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2020-04-07_final.stac-item
2020-09-06 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-09-06_final.stac-item
2020-09-21 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2020-09-21_final.stac-item
2020-10-19 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-19_final.stac-item
2020-11-23 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2020-11-23_final.stac-item
2020-11-23 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2020-11-23_final.stac-item
2020-12-09 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2020-12-09_final.stac-item
2020-12-16 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-12-16_final.stac-item
2020-12-26 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2020-12-26_final.stac-item
2021-01-02 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-01-02_final.stac-item
2021-03-19 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-19_final.stac-item
2021-05-05 11:34:37	ga_s2bm_ard_3-2-1_51JWM_2021-05-05_final.stac-item
2021-05-05 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-05-05_final.stac-item
2021-05-18 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2021-05-18_final.stac-item
2021-05-25 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-05-25_final.stac-item
2021-06-10 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2021-06-10_final.stac-item
2021-06-10 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2021-06-10_final.stac-item
2021-06-21 11:24:23	ga_s2bm_ard_3-2-1_51JYN_2021-06-21_final.stac-item
2021-07-24 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-24_final.stac-item
2021-10-26 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2021-10-26_final.stac-item
2021-12-21 11:36:26	ga_s2bm_ard_3-2-1_51HTE_2021-12-21_final.stac-item
2022-01-17 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2022-01-17_final.stac-item
2022-02-18 12:04:21	ga_s2bm_ard_3-2-1_50KKU_2022-02-18_final.stac-item
2022-03-04 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2022-03-04_final.stac-item
2022-03-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2022-03-04_final.stac-item
2022-03-08 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2022-03-08_final.stac-item
2022-04-26 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2022-04-26_final.stac-item
2022-04-27 11:24:23	ga_s2bm_ard_3-2-1_51JWN_2022-04-27_final.stac-item
2022-06-02 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-06-02_final.stac-item
2022-06-08 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-06-08_final.stac-item
2022-06-12 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2022-06-12_final.stac-item
2022-06-15 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2022-06-15_final.stac-item
2022-06-19 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2022-06-19_final.stac-item
2022-06-22 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2022-06-22_final.stac-item
2022-06-28 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2022-06-28_final.stac-item
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-07-28_final.stac-item
2022-08-21 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-08-21_final.stac-item
2022-09-13 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2022-09-13_final.stac-item
2022-09-30 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-09-30_final.stac-item
2022-11-02 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-11-02_final.stac-item
2022-11-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-12_final.stac-item
2022-11-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-11-26_final.stac-item
2022-12-08 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-12-08_final.stac-item
2022-12-30 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-12-30_final.stac-item
2023-01-29 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2023-01-29_final.stac-item
2023-02-24 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-02-24_final
2023-03-26 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-03-26_final
2023-03-26 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2023-03-26_final
2023-04-24 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-04-24_final
2023-04-25 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-04-25_final
2023-05-31 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-05-31_final
2023-08-23 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-08-23_final
2023-08-27 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-08-27_final
2023-09-11 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-09-11_final
2023-09-28 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2023-09-28_final
2023-11-11 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2023-11-11_final
2023-11-28 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2023-11-28_final
2024-01-07 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2024-01-07_final
2024-01-11 11:06:31	ga_s2bm_ard_3-2-1_52HBJ_2024-01-11_nrt
2024-02-16 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2024-02-16_final
2024-02-25 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2024-02-25_final
2024-02-25 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2024-02-25_final
2024-02-29 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2024-02-29_final
2024-03-24 11:15:54	ga_s2bm_ard_3-2-1_51JYG_2024-03-24_final
2024-04-29 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-04-29_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