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
2017-07-16 10:58:39	ga_s2bm_ard_3-2-1_52KEA_2017-07-16_final.stac-item
2017-08-15 11:02:08	ga_s2bm_ard_3-2-1_52JET_2017-08-15_final.stac-item
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCT_2017-08-28_final.stac-item
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52KEA_2018-01-05_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-01-13_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KXT_2018-02-07_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51LXD_2018-02-20_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KVB_2018-03-25_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNK_2018-04-04_final.stac-item
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JYH_2018-06-24_final.stac-item
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KEA_2018-08-03_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KLC_2018-08-08_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51LUE_2018-08-22_final.stac-item
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGL_2018-09-20_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KZP_2018-10-05_final.stac-item
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KDU_2018-11-01_final.stac-item
2018-12-07 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2018-12-07_final.stac-item
2018-12-17 11:34:37	ga_s2bm_ard_3-2-1_51JVM_2018-12-17_final.stac-item
2019-02-07 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-07_final.stac-item
2019-02-22 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-02-22_final.stac-item
2019-02-22 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2019-02-22_final.stac-item
2019-03-13 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2019-03-13_final.stac-item
2019-03-27 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2019-03-27_final.stac-item
2019-05-26 11:35:50	ga_s2bm_ard_3-2-1_51JVH_2019-05-26_final.stac-item
2019-06-14 12:03:30	ga_s2bm_ard_3-2-1_50KMC_2019-06-14_final.stac-item
2019-09-03 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2019-09-03_final.stac-item
2019-12-15 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2019-12-15_final.stac-item
2019-12-15 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2019-12-15_final.stac-item
2019-12-25 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2019-12-25_final.stac-item
2020-01-01 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2020-01-01_final.stac-item
2020-01-04 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-04_final.stac-item
2020-01-05 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2020-01-05_final.stac-item
2020-02-10 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2020-02-10_final.stac-item
2020-02-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2020-02-19_final.stac-item
2020-02-22 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-02-22_final.stac-item
2020-04-27 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2020-04-27_final.stac-item
2020-06-16 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-06-16_final.stac-item
2020-06-26 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-06-26_final.stac-item
2020-07-05 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-07-05_final.stac-item
2020-07-16 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2020-07-16_final.stac-item
2020-07-26 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2020-07-26_final.stac-item
2020-08-05 11:23:19	ga_s2bm_ard_3-2-1_52KCB_2020-08-05_final.stac-item
2020-09-10 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2020-09-10_final.stac-item
2020-10-11 11:16:12	ga_s2bm_ard_3-2-1_51JYF_2020-10-11_final.stac-item
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2021-02-13_final.stac-item
2021-02-28 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2021-02-28_final.stac-item
2021-03-26 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-26_final
2021-04-09 11:14:20	ga_s2bm_ard_3-2-1_52JBT_2021-04-09_final.stac-item
2021-04-24 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-04-24_final.stac-item
2021-05-11 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-05-11_final.stac-item
2021-06-17 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2021-06-17_final.stac-item
2021-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-06-20_final.stac-item
2021-07-01 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-07-01_final.stac-item
2021-08-04 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2021-08-04_final.stac-item
2021-08-10 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2021-08-10_final.stac-item
2021-09-26 11:16:04	ga_s2bm_ard_3-2-1_52JBL_2021-09-26_final.stac-item
2021-11-08 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2021-11-08_final.stac-item
2021-11-25 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2021-11-25_final.stac-item
2022-01-30 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2022-01-30_final.stac-item
2022-03-05 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2022-03-05_final.stac-item
2022-03-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-03-14_final.stac-item
2022-04-24 11:13:28	ga_s2bm_ard_3-2-1_52KDA_2022-04-24_final.stac-item
2022-05-20 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2022-05-20_final.stac-item
2022-06-03 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2022-06-03_final.stac-item
2022-06-22 11:44:49	ga_s2bm_ard_3-2-1_50JRS_2022-06-22_final.stac-item
2022-06-24 10:46:05	ga_s2bm_ard_3-2-1_52JGL_2022-06-24_final.stac-item
2022-08-05 11:21:30	ga_s2bm_ard_3-2-1_51LZE_2022-08-05_final.stac-item
2022-08-07 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-08-07_final.stac-item
2022-08-10 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-08-10_final.stac-item
2022-08-14 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2022-08-14_final.stac-item
2022-10-26 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2022-10-26_final.stac-item
2022-11-13 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-11-13_final.stac-item
2022-11-17 11:04:11	ga_s2bm_ard_3-2-1_52JGT_2022-11-17_final.stac-item
2022-12-08 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-12-08_final.stac-item
2023-01-12 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2023-01-12_final.stac-item
2023-01-24 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2023-01-24_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-03-05_final
2023-04-05 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-04-05_final
2023-04-18 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-18_final
2023-06-01 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2023-06-01_final
2023-06-11 11:23:21	ga_s2bm_ard_3-2-1_52KCB_2023-06-11_final
2023-06-15 11:04:23	ga_s2bm_ard_3-2-1_52JET_2023-06-15_final
2023-07-11 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2023-07-11_final
2023-08-17 11:16:42	ga_s2bm_ard_3-2-1_51HYD_2023-08-17_final
2023-09-21 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-09-21_final
2023-09-26 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2023-09-26_final
2023-10-06 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2023-10-06_final
2023-10-09 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2023-10-09_final
2023-12-01 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2023-12-01_final
2023-12-18 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2023-12-18_final
2023-12-21 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2023-12-21_final
2023-12-31 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-12-31_final
2024-01-17 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2024-01-17_final
2024-01-19 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-19_final
2024-02-03 11:13:05	ga_s2bm_ard_3-2-1_52KCC_2024-02-03_final
2024-02-19 11:31:49	ga_s2bm_ard_3-2-1_51LYC_2024-02-19_final
2024-03-10 11:35:15	ga_s2bm_ard_3-2-1_51JWJ_2024-03-10_final
2024-03-20 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2024-03-20_final
2024-04-29 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2024-04-29_final
2024-04-29 11:37:06	ga_s2bm_ard_3-2-1_50HPH_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