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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JNL_2017-07-01_final.stac-item
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_50JRT_2017-08-07_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JMP_2017-08-20_final.stac-item
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_50KKA_2017-09-05_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLS_2017-09-22_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMR_2017-11-18_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JHN_2017-12-01_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50KKA_2017-12-31_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKP_2018-05-20_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JQL_2018-06-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPS_2018-07-23_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMK_2018-08-05_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JNN_2018-08-22_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-09-20_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JMM_2018-10-31_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JNL_2018-10-31_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JQP_2018-10-31_final.stac-item
2018-11-17 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2018-11-17_final.stac-item
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final.stac-item
2019-01-26 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-01-26_final.stac-item
2019-02-01 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-02-01_final.stac-item
2019-02-01 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-02-01_final.stac-item
2019-02-11 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-02-11_final.stac-item
2019-05-02 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-05-02_final.stac-item
2019-06-21 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-06-21_final.stac-item
2019-06-28 11:44:46	ga_s2bm_ard_3-2-1_50JPT_2019-06-28_final.stac-item
2019-07-08 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-07-08_final.stac-item
2019-08-07 11:45:14	ga_s2bm_ard_3-2-1_50JPR_2019-08-07_final.stac-item
2019-08-07 11:46:23	ga_s2bm_ard_3-2-1_50JQL_2019-08-07_final.stac-item
2019-10-29 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2019-10-29_final.stac-item
2019-11-05 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-11-05_final.stac-item
2019-12-04 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2019-12-04_final.stac-item
2019-12-05 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2019-12-05_final.stac-item
2019-12-31 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2019-12-31_final.stac-item
2020-01-20 12:03:52	ga_s2bm_ard_3-2-1_50KKA_2020-01-20_final.stac-item
2020-01-20 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2020-01-20_final.stac-item
2020-02-06 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-02-06_final.stac-item
2020-02-26 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-02-26_final.stac-item
2020-03-03 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-03_final.stac-item
2020-03-10 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-03-10_final.stac-item
2020-04-26 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-04-26_final.stac-item
2020-04-30 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2020-04-30_final.stac-item
2020-06-08 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-08_final.stac-item
2020-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-06-11_final.stac-item
2020-07-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-07-01_final.stac-item
2020-07-31 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-07-31_final.stac-item
2020-08-14 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-08-14_final.stac-item
2020-08-31 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-31_final.stac-item
2020-10-03 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-10-03_final.stac-item
2020-10-29 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final.stac-item
2020-11-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2020-11-22_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2021-03-15 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-03-15_final.stac-item
2021-05-24 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-05-24_final.stac-item
2021-06-30 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-30_final.stac-item
2021-07-07 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-07_final.stac-item
2021-08-12 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-08-12_final.stac-item
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final.stac-item
2021-08-16 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-08-16_final.stac-item
2021-09-24 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-09-24_final.stac-item
2021-10-21 12:03:42	ga_s2bm_ard_3-2-1_50KLB_2021-10-21_final.stac-item
2021-11-23 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2021-11-23_final.stac-item
2021-12-20 12:03:21	ga_s2bm_ard_3-2-1_50KLC_2021-12-20_final.stac-item
2022-03-30 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2022-03-30_final.stac-item
2022-05-02 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-05-02_final.stac-item
2022-06-05 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2022-06-05_final.stac-item
2022-07-18 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2022-07-18_final.stac-item
2022-08-21 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-08-21_final.stac-item
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2022-08-27_final.stac-item
2022-09-10 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2022-09-10_final.stac-item
2023-01-08 11:46:23	ga_s2bm_ard_3-2-1_50JML_2023-01-08_final.stac-item
2023-02-04 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2023-02-04_final.stac-item
2023-02-13 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2023-02-13_nrt.stac-item
2023-02-13 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-02-13_final
2023-04-17 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-04-17_final
2023-04-18 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2023-04-18_final
2023-04-18 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-04-18_final
2023-05-04 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-05-04_final
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final
2023-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final
2023-05-14 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2023-05-14_final
2023-06-07 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-06-07_final
2023-06-16 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-16_final
2023-07-20 11:56:57	ga_s2bm_ard_3-2-1_50HMJ_2023-07-20_final
2023-08-02 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-08-02_final
2023-08-09 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-08-09_final
2023-09-18 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-09-18_final
2023-10-14 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-10-14_final
2023-10-28 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2023-10-28_final
2023-11-14 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2023-11-14_final
2023-11-21 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2023-11-21_final
2023-12-10 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2023-12-10_final
2023-12-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2023-12-14_final
2023-12-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-12-14_final
2024-01-03 11:46:26	ga_s2bm_ard_3-2-1_50JML_2024-01-03_final
2024-01-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2024-01-16_final
2024-01-29 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2024-01-29_final
2024-02-08 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2024-02-08_final
2024-03-22 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2024-03-22_final
2024-04-21 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-04-21_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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