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
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JML_2017-07-21_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGL_2017-07-24_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGM_2017-07-24_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-11-14_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMH_2017-11-15_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JQT_2018-01-24_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPQ_2018-02-06_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-19_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JQR_2018-03-05_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQJ_2018-03-12_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-03-14_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLK_2018-03-28_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-04-10_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-05-10_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KMC_2018-05-10_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KMC_2018-05-30_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-06-13_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMK_2018-07-03_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQJ_2018-07-13_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQJ_2018-07-23_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-08-28_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGN_2018-09-10_final.stac-item
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final.stac-item
2018-12-09 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-09_final.stac-item
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final.stac-item
2018-12-23 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2018-12-23_final.stac-item
2019-01-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-18_final.stac-item
2019-04-19 11:45:24	ga_s2bm_ard_3-2-1_50JQQ_2019-04-19_final.stac-item
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final.stac-item
2019-05-28 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-05-28_final.stac-item
2019-06-24 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-06-24_final.stac-item
2019-08-10 11:56:43	ga_s2bm_ard_3-2-1_50HMK_2019-08-10_final.stac-item
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2019-09-05_final.stac-item
2019-10-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-12_final.stac-item
2019-10-12 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-10-12_final.stac-item
2019-10-16 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2019-10-16_final.stac-item
2019-12-18 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2019-12-18_final.stac-item
2020-01-14 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-01-14_final.stac-item
2020-04-13 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-04-13_final.stac-item
2020-04-22 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2020-04-22_final.stac-item
2020-05-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-05-16_final.stac-item
2020-06-02 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-06-02_final.stac-item
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-06-18_final.stac-item
2020-06-25 11:54:57	ga_s2bm_ard_3-2-1_50JNS_2020-06-25_final.stac-item
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-28_final.stac-item
2020-08-11 11:45:51	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final.stac-item
2020-09-29 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-09-29_final.stac-item
2020-10-06 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-10-06_final.stac-item
2020-10-09 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-10-09_final.stac-item
2020-12-08 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-08_final.stac-item
2020-12-12 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2020-12-12_final.stac-item
2020-12-18 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-12-18_final.stac-item
2021-01-04 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-01-04_final.stac-item
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final.stac-item
2021-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-02-13_final.stac-item
2021-02-23 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2021-02-23_final.stac-item
2021-04-05 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2021-04-05_final.stac-item
2021-04-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-04-14_final.stac-item
2021-04-24 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-24_final.stac-item
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final
2021-06-13 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-13_final.stac-item
2021-08-22 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2021-08-22_final.stac-item
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final.stac-item
2021-08-23 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-08-23_final.stac-item
2021-10-25 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-10-25_final.stac-item
2021-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-11-14_final.stac-item
2021-11-17 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-11-17_final.stac-item
2021-11-27 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2021-11-27_final.stac-item
2021-12-03 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2021-12-03_final.stac-item
2022-02-08 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2022-02-08_final.stac-item
2022-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-02-15_final.stac-item
2022-03-27 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-03-27_final.stac-item
2022-04-12 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2022-04-12_final.stac-item
2022-07-25 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2022-07-25_final.stac-item
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-09-16_final.stac-item
2022-10-13 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-10-13_final.stac-item
2022-12-25 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2022-12-25_final.stac-item
2022-12-25 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-12-25_final.stac-item
2022-12-28 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-12-28_final.stac-item
2023-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-04_final.stac-item
2023-01-11 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2023-01-11_final.stac-item
2023-01-17 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2023-01-17_final.stac-item
2023-02-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-02-23_final
2023-04-11 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-04-11_final
2023-05-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-05-08_final
2023-05-21 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-05-21_final
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-08-02_final
2023-08-09 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-08-09_final
2023-09-01 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-09-01_final
2023-11-17 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-11-17_final
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final
2023-12-04 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2023-12-04_final
2024-01-23 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-01-23_final
2024-01-26 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-26_final
2024-02-05 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2024-02-05_final
2024-02-08 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-02-08_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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