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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KMC_2017-07-04_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JMS_2017-09-22_final.stac-item
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KXU_2017-09-23_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HUD_2017-12-12_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKT_2018-01-10_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KVV_2018-02-13_final.stac-item
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KXQ_2018-02-27_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLH_2018-05-17_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KWP_2018-05-18_final.stac-item
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_51KZP_2018-06-04_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVU_2018-07-03_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLL_2018-08-05_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-09-27_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLN_2018-10-17_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUV_2018-10-21_final.stac-item
2018-11-07 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2018-11-07_final.stac-item
2018-12-17 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2018-12-17_final.stac-item
2018-12-20 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2018-12-20_final.stac-item
2019-01-16 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2019-01-16_final.stac-item
2019-05-16 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-16_final.stac-item
2019-05-26 11:32:54	ga_s2bm_ard_3-2-1_51KWV_2019-05-26_final.stac-item
2019-06-14 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-14_final.stac-item
2019-07-12 11:23:30	ga_s2bm_ard_3-2-1_51KZS_2019-07-12_final.stac-item
2019-07-15 11:32:38	ga_s2bm_ard_3-2-1_51KWA_2019-07-15_final.stac-item
2019-07-22 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-07-22_final.stac-item
2019-08-14 11:34:22	ga_s2bm_ard_3-2-1_51JXN_2019-08-14_final.stac-item
2019-08-21 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2019-08-21_final.stac-item
2019-08-30 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2019-08-30_final.stac-item
2019-11-02 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-11-02_final.stac-item
2019-12-29 11:22:18	ga_s2bm_ard_3-2-1_51KZA_2019-12-29_final.stac-item
2019-12-31 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-31_final.stac-item
2020-01-11 11:32:06	ga_s2bm_ard_3-2-1_51KXB_2020-01-11_final.stac-item
2020-01-21 11:31:54	ga_s2bm_ard_3-2-1_51LWC_2020-01-21_final.stac-item
2020-02-10 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2020-02-10_final.stac-item
2020-02-13 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2020-02-13_final.stac-item
2020-02-17 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-02-17_final.stac-item
2020-02-19 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2020-02-19_final.stac-item
2020-02-27 11:23:28	ga_s2bm_ard_3-2-1_52KBA_2020-02-27_final.stac-item
2020-03-04 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2020-03-04_final.stac-item
2020-04-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-16_final.stac-item
2020-04-17 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2020-04-17_final.stac-item
2020-05-06 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-05-06_final
2020-05-10 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2020-05-10_final.stac-item
2020-05-14 11:15:17	ga_s2bm_ard_3-2-1_52JCP_2020-05-14_final.stac-item
2020-05-17 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2020-05-17_final.stac-item
2020-06-02 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2020-06-02_final.stac-item
2020-06-02 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-06-02_final.stac-item
2020-07-08 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-08_final.stac-item
2020-09-04 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2020-09-04_final.stac-item
2020-09-10 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-09-10_final.stac-item
2020-09-16 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-09-16_final.stac-item
2020-10-10 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-10-10_final.stac-item
2020-11-09 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2020-11-09_final.stac-item
2020-11-16 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2020-11-16_final.stac-item
2020-12-03 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2020-12-03_final.stac-item
2020-12-16 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2020-12-16_final.stac-item
2020-12-29 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2020-12-29_final.stac-item
2020-12-30 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2020-12-30_final.stac-item
2021-01-12 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-01-12_final.stac-item
2021-01-12 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-01-12_final.stac-item
2021-01-18 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2021-01-18_final.stac-item
2021-02-11 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-02-11_final.stac-item
2021-03-16 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2021-03-16_final.stac-item
2021-05-11 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-05-11_final.stac-item
2021-05-16 11:04:17	ga_s2bm_ard_3-2-1_52JET_2021-05-16_final.stac-item
2021-05-28 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2021-05-28_final.stac-item
2021-06-21 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2021-06-21_final.stac-item
2021-07-04 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2021-07-04_final.stac-item
2021-08-06 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-08-06_final.stac-item
2021-11-18 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2021-11-18_final.stac-item
2022-01-10 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-01-10_final.stac-item
2022-01-20 11:36:38	ga_s2bm_ard_3-2-1_51HUD_2022-01-20_final.stac-item
2022-02-08 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-08_final.stac-item
2022-03-27 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2022-03-27_final.stac-item
2022-05-11 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2022-05-11_final.stac-item
2022-06-12 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2022-06-12_final.stac-item
2022-06-18 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2022-06-18_final.stac-item
2022-07-15 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-15_final.stac-item
2022-08-12 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2022-08-12_final.stac-item
2022-08-25 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2022-08-25_final.stac-item
2022-09-13 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2022-09-13_final.stac-item
2022-09-24 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2022-09-24_final.stac-item
2022-11-19 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2022-11-19_final.stac-item
2023-01-15 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2023-01-15_final.stac-item
2023-01-21 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-21_final.stac-item
2023-02-14 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2023-02-14_final
2023-02-23 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-02-23_final
2023-03-06 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-03-06_final
2023-05-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-05-05_final
2023-05-06 11:05:37	ga_s2bm_ard_3-2-1_52JDN_2023-05-06_final
2023-06-02 10:55:20	ga_s2bm_ard_3-2-1_52JFP_2023-06-02_final
2023-06-11 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2023-06-11_final
2023-09-15 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-09-15_final
2023-10-06 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2023-10-06_final
2023-10-22 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-10-22_final
2023-12-03 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-03_final
2024-01-19 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-19_final
2024-02-01 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2024-02-01_final
2024-02-03 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2024-02-03_final
2024-02-15 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2024-02-15_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