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
2017-10-21 10:53:01	ga_s2bm_ard_3-2-1_52JFM_2017-10-21_final.stac-item
2017-11-08 11:44:06	ga_s2bm_ard_3-2-1_50KRD_2017-11-08_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVV_2018-01-14_final.stac-item
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JYH_2018-01-25_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51LXD_2018-02-10_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JPL_2018-02-10_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HLH_2018-02-13_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KXS_2018-03-09_final.stac-item
2018-03-13 11:02:50	ga_s2bm_ard_3-2-1_52KEA_2018-03-13_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51LUE_2018-03-15_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KMC_2018-03-21_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KYU_2018-03-22_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HQK_2018-03-25_final.stac-item
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JUF_2018-03-29_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HWD_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HXE_2018-04-05_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKP_2018-04-07_final.stac-item
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HTC_2018-04-11_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KWP_2018-05-08_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KWR_2018-05-21_final.stac-item
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KXV_2018-05-31_final.stac-item
2018-09-11 11:39:50	ga_s2bm_ard_3-2-1_51LWC_2018-09-11_final.stac-item
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KFD_2018-10-19_final.stac-item
2018-12-30 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2018-12-30_final.stac-item
2019-01-19 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2019-01-19_final.stac-item
2019-01-19 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-01-19_final.stac-item
2019-02-08 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-02-08_final.stac-item
2019-04-30 11:15:29	ga_s2bm_ard_3-2-1_52JBP_2019-04-30_final.stac-item
2019-05-09 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-05-09_final.stac-item
2019-05-20 11:13:56	ga_s2bm_ard_3-2-1_52KDV_2019-05-20_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-11 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-06-11_final.stac-item
2019-07-01 11:53:07	ga_s2bm_ard_3-2-1_50KRD_2019-07-01_final.stac-item
2019-07-02 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-07-02_final.stac-item
2019-07-09 11:13:48	ga_s2bm_ard_3-2-1_52KBA_2019-07-09_final.stac-item
2019-08-18 11:13:46	ga_s2bm_ard_3-2-1_51KZR_2019-08-18_final.stac-item
2019-09-03 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2019-09-03_final.stac-item
2019-09-29 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2019-09-29_final.stac-item
2019-10-03 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-03_final.stac-item
2019-12-25 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2019-12-25_final.stac-item
2020-01-27 11:52:52	ga_s2bm_ard_3-2-1_50KRD_2020-01-27_final.stac-item
2020-01-28 11:23:32	ga_s2bm_ard_3-2-1_51KYR_2020-01-28_final.stac-item
2020-02-17 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2020-02-17_final.stac-item
2020-02-21 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2020-02-21_final.stac-item
2020-04-03 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2020-04-03_final.stac-item
2020-04-07 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2020-04-07_final.stac-item
2020-04-23 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-04-23_final.stac-item
2020-05-10 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-05-10_final.stac-item
2020-05-27 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2020-05-27_final.stac-item
2020-07-02 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2020-07-02_final.stac-item
2020-08-06 10:55:31	ga_s2bm_ard_3-2-1_52JGN_2020-08-06_final.stac-item
2020-09-04 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-09-04_final.stac-item
2020-09-17 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-09-17_final.stac-item
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final.stac-item
2021-01-22 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2021-01-22_final.stac-item
2021-02-04 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-02-04_final.stac-item
2021-04-05 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2021-04-05_final.stac-item
2021-04-24 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-04-24_final.stac-item
2021-04-29 11:11:46	ga_s2bm_ard_3-2-1_52KGG_2021-04-29_final.stac-item
2021-05-19 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2021-05-19_final.stac-item
2021-05-29 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2021-05-29_final.stac-item
2021-06-11 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2021-06-11_final.stac-item
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final
2021-06-14 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2021-06-14_final.stac-item
2021-07-08 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-07-08_final
2021-07-17 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-17_final.stac-item
2021-07-27 11:44:51	ga_s2bm_ard_3-2-1_50JQS_2021-07-27_final.stac-item
2021-08-09 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-08-09_final.stac-item
2021-08-19 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2021-08-19_final.stac-item
2021-08-19 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2021-08-19_final
2021-09-05 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2021-09-05_final.stac-item
2021-09-08 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2021-09-08_final.stac-item
2021-10-02 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-10-02_final
2021-10-05 11:43:24	ga_s2bm_ard_3-2-1_51KTS_2021-10-05_final.stac-item
2021-11-02 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2021-11-02_final
2021-11-21 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2021-11-21_final.stac-item
2021-12-04 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-12-04_final.stac-item
2021-12-04 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-12-04_final.stac-item
2022-01-10 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-10_final.stac-item
2022-02-09 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2022-02-09_final.stac-item
2022-07-12 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2022-07-12_final.stac-item
2022-07-13 11:14:13	ga_s2bm_ard_3-2-1_52KBU_2022-07-13_final.stac-item
2022-10-10 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2022-10-10_final.stac-item
2022-10-24 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2022-10-24_final.stac-item
2022-12-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-12-26_final.stac-item
2023-02-11 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2023-02-11_final
2023-02-21 11:22:41	ga_s2bm_ard_3-2-1_51KYV_2023-02-21_final
2023-02-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-02-26_final
2023-03-06 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-06_final
2023-03-29 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2023-03-29_final
2023-03-29 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2023-03-29_final
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final
2023-05-15 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-05-15_final
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-07-07_final
2023-07-14 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-07-14_final
2023-10-15 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-10-15_final
2023-11-04 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2023-11-04_final
2023-12-01 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2023-12-01_final
2023-12-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-12-14_final
2024-02-19 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2024-02-19_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