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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JQT_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50KRA_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JQT_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KQA_2017-09-09_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPV_2017-11-28_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JQQ_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNR_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KNB_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KPC_2017-12-18_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50KRD_2018-03-25_final.stac-item
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final.stac-item
2018-11-03 11:47:22	ga_s2bm_ard_3-2-1_50KQA_2018-11-03_final.stac-item
2018-11-20 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2018-11-20_final.stac-item
2018-11-20 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2018-11-20_final.stac-item
2018-11-20 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2018-11-20_final.stac-item
2018-11-29 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2018-11-29_final.stac-item
2018-11-29 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2018-11-29_final.stac-item
2018-11-30 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2018-11-30_final.stac-item
2018-12-03 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2018-12-03_final.stac-item
2018-12-06 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2018-12-06_final.stac-item
2018-12-13 11:53:29	ga_s2bm_ard_3-2-1_50KPB_2018-12-13_final.stac-item
2018-12-20 11:43:31	ga_s2bm_ard_3-2-1_50KQB_2018-12-20_final.stac-item
2018-12-20 11:44:29	ga_s2bm_ard_3-2-1_50JQT_2018-12-20_final.stac-item
2018-12-20 11:44:33	ga_s2bm_ard_3-2-1_50JPT_2018-12-20_final.stac-item
2018-12-20 11:44:47	ga_s2bm_ard_3-2-1_50JPS_2018-12-20_final.stac-item
2018-12-26 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2018-12-26_final.stac-item
2018-12-26 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2018-12-26_final.stac-item
2018-12-26 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-12-26_final.stac-item
2018-12-29 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-12-29_final.stac-item
2019-01-02 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2019-01-02_final.stac-item
2019-01-05 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2019-01-05_final.stac-item
2019-01-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2019-01-06_final.stac-item
2019-01-09 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2019-01-09_final.stac-item
2019-01-15 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2019-01-15_final.stac-item
2019-01-19 11:43:36	ga_s2bm_ard_3-2-1_50KRB_2019-01-19_final.stac-item
2019-01-22 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2019-01-22_final.stac-item
2019-01-28 12:14:08	ga_s2bm_ard_3-2-1_50KKV_2019-01-28_final.stac-item
2019-01-29 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2019-01-29_final.stac-item
2019-08-11 11:26:43	ga_s2bm_ard_3-2-1_51HXD_2019-08-11_final.stac-item
2019-10-26 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2019-10-26_final.stac-item
2019-11-08 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2019-11-08_final.stac-item
2019-11-11 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2019-11-11_final.stac-item
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2019-11-24_final.stac-item
2019-11-24 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2019-11-24_final.stac-item
2019-11-25 11:43:28	ga_s2bm_ard_3-2-1_50KQB_2019-11-25_final.stac-item
2019-12-25 11:43:42	ga_s2bm_ard_3-2-1_50KRA_2019-12-25_final.stac-item
2019-12-28 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2019-12-28_final.stac-item
2020-02-29 12:03:41	ga_s2bm_ard_3-2-1_50KNA_2020-02-29_final.stac-item
2020-03-04 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2020-03-04_final.stac-item
2020-03-14 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2020-03-14_final.stac-item
2020-10-20 11:44:41	ga_s2bm_ard_3-2-1_50JPT_2020-10-20_final.stac-item
2020-10-23 11:53:35	ga_s2bm_ard_3-2-1_50KQB_2020-10-23_final.stac-item
2020-10-26 12:03:38	ga_s2bm_ard_3-2-1_50KNB_2020-10-26_final.stac-item
2020-10-26 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2020-10-26_final.stac-item
2020-10-30 11:43:50	ga_s2bm_ard_3-2-1_50KRA_2020-10-30_final.stac-item
2020-10-30 11:45:14	ga_s2bm_ard_3-2-1_50JNR_2020-10-30_final.stac-item
2020-11-02 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2020-11-02_final.stac-item
2020-11-29 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2020-11-29_final.stac-item
2020-12-12 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2020-12-12_final.stac-item
2020-12-19 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2020-12-19_final.stac-item
2020-12-22 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2020-12-22_final.stac-item
2020-12-25 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-12-25_final.stac-item
2020-12-29 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2020-12-29_final.stac-item
2021-01-01 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2021-01-01_final.stac-item
2021-01-18 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2021-01-18_final.stac-item
2021-01-25 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-01-25_final
2021-02-20 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2021-02-20_final
2021-02-27 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2021-02-27_final.stac-item
2021-03-09 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2021-03-09_final.stac-item
2021-03-26 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-03-26_final.stac-item
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-03-29_final.stac-item
2021-06-30 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-30_final.stac-item
2021-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-17_final
2021-10-14 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-10-14_final.stac-item
2021-10-15 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-10-15_final.stac-item
2021-10-29 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-10-29_final
2021-11-14 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-11-14_final.stac-item
2021-11-17 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2021-11-17_final.stac-item
2021-11-21 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2021-11-21_final
2021-12-04 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2021-12-04_final.stac-item
2021-12-04 11:44:40	ga_s2bm_ard_3-2-1_50JRS_2021-12-04_final.stac-item
2021-12-04 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2021-12-04_final.stac-item
2021-12-07 11:52:29	ga_s2bm_ard_3-2-1_50KQF_2021-12-07_final
2021-12-07 11:55:59	ga_s2bm_ard_3-2-1_50JNM_2021-12-07_final.stac-item
2022-02-12 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-02-12_final.stac-item
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final.stac-item
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final.stac-item
2022-02-22 11:43:26	ga_s2bm_ard_3-2-1_50KQB_2022-02-22_final.stac-item
2022-02-22 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2022-02-22_final.stac-item
2022-03-14 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-03-14_final.stac-item
2022-08-27 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-08-27_final.stac-item
2022-10-07 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2022-10-07_final.stac-item
2022-10-17 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-10-17_final.stac-item
2022-11-06 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2022-11-06_final.stac-item
2022-12-12 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2022-12-12_final.stac-item
2023-03-29 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-03-29_final
2023-06-21 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-06-21_final
2023-12-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-12-14_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

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