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
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KLC_2017-11-21_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_50KKV_2017-11-24_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPQ_2017-11-28_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-11_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KGQ_2017-12-11_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_50KKA_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JPT_2017-12-15_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JHN_2018-03-04_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JQT_2018-03-08_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHP_2018-03-14_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPS_2018-03-28_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JPS_2018-04-17_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-10-20_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50JRT_2018-10-28_final.stac-item
2018-11-17 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-17_final.stac-item
2018-11-19 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-11-19_final.stac-item
2018-11-26 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2018-11-26_final.stac-item
2018-11-26 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2018-11-26_final.stac-item
2018-11-29 12:14:14	ga_s2bm_ard_3-2-1_50KKU_2018-11-29_final.stac-item
2018-11-30 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2018-11-30_final.stac-item
2018-12-03 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2018-12-03_final.stac-item
2018-12-09 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2018-12-09_final.stac-item
2018-12-10 11:45:59	ga_s2bm_ard_3-2-1_50JQL_2018-12-10_final.stac-item
2018-12-20 11:45:06	ga_s2bm_ard_3-2-1_50JNR_2018-12-20_final.stac-item
2018-12-20 11:45:41	ga_s2bm_ard_3-2-1_50JQN_2018-12-20_final.stac-item
2018-12-23 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2018-12-23_final.stac-item
2018-12-26 12:03:52	ga_s2bm_ard_3-2-1_50KLA_2018-12-26_final.stac-item
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-01-08_final.stac-item
2019-01-08 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2019-01-08_final.stac-item
2019-01-09 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2019-01-09_final.stac-item
2019-01-09 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2019-01-09_final.stac-item
2019-01-09 11:45:54	ga_s2bm_ard_3-2-1_50JQM_2019-01-09_final.stac-item
2019-01-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-01-16_final.stac-item
2019-01-29 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2019-01-29_final.stac-item
2019-03-10 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2019-03-10_final.stac-item
2019-05-19 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-19_final.stac-item
2019-05-19 11:45:15	ga_s2bm_ard_3-2-1_50JPR_2019-05-19_final.stac-item
2019-05-19 11:45:26	ga_s2bm_ard_3-2-1_50JQQ_2019-05-19_final.stac-item
2019-05-19 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-19_final.stac-item
2019-06-08 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-08_final.stac-item
2019-06-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-24_final.stac-item
2019-10-06 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-10-06_final.stac-item
2019-11-08 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2019-11-08_final.stac-item
2019-11-25 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2019-11-25_final.stac-item
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final.stac-item
2020-03-17 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2020-03-17_final.stac-item
2020-03-24 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2020-03-24_final.stac-item
2020-07-02 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2020-07-02_final.stac-item
2020-07-02 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2020-07-02_final.stac-item
2020-08-27 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-27_final.stac-item
2020-08-31 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2020-08-31_final.stac-item
2020-10-09 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-09_final.stac-item
2020-10-20 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2020-10-20_final.stac-item
2020-10-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-10-29_final.stac-item
2020-10-29 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final.stac-item
2020-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-11-05_final.stac-item
2020-11-09 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2020-11-09_final.stac-item
2020-11-09 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-11-09_final.stac-item
2020-11-12 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2020-11-12_final.stac-item
2020-12-25 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-12-25_final.stac-item
2020-12-25 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-12-25_final.stac-item
2021-01-04 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2021-01-04_final.stac-item
2021-01-27 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-01-27_final.stac-item
2021-03-02 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-03-02_final.stac-item
2021-03-08 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-08_final.stac-item
2021-03-16 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-03-16_final.stac-item
2021-03-26 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-26_final
2021-03-29 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2021-03-29_final.stac-item
2021-05-18 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-05-18_final.stac-item
2021-05-31 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2021-05-31_final.stac-item
2021-06-27 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2021-06-27_final.stac-item
2021-06-27 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2021-06-27_final.stac-item
2021-06-30 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-06-30_final.stac-item
2021-07-17 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2021-07-17_final.stac-item
2021-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2021-07-17_final.stac-item
2021-07-23 12:05:10	ga_s2bm_ard_3-2-1_49JFM_2021-07-23_final.stac-item
2021-08-19 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2021-08-19_final.stac-item
2021-09-22 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2021-09-22_final
2021-10-15 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-10-15_final.stac-item
2021-10-25 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-10-25_final.stac-item
2021-11-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final.stac-item
2021-11-24 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2021-11-24_final
2021-12-04 11:44:30	ga_s2bm_ard_3-2-1_50JQT_2021-12-04_final.stac-item
2021-12-04 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-12-04_final.stac-item
2021-12-07 11:54:32	ga_s2bm_ard_3-2-1_50JNT_2021-12-07_final.stac-item
2021-12-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-12-07_final.stac-item
2021-12-07 11:56:17	ga_s2bm_ard_3-2-1_50JML_2021-12-07_final.stac-item
2022-02-02 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-02-02_final.stac-item
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2022-03-03_final.stac-item
2022-12-29 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-12-29_final.stac-item
2023-01-11 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2023-01-11_final.stac-item
2023-01-18 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-18_final.stac-item
2023-03-29 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-29_final
2023-05-15 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-05-15_final
2023-07-24 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2023-07-24_final
2023-08-03 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-08-03_final
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final
2023-11-11 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-11-11_final
2023-11-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2023-11-24_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