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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HMJ_2017-09-29_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-11-21_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KTT_2018-01-14_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53KLV_2018-01-19_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52KHG_2018-01-22_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50JRT_2018-01-31_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-02-02_final.stac-item
2018-02-05 10:37:20	ga_s2bm_ard_3-2-1_53LNC_2018-02-05_final.stac-item
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_52JBR_2018-02-27_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_52KCB_2018-03-09_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HNJ_2018-03-15_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKM_2018-03-18_final.stac-item
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53JQL_2018-03-24_final.stac-item
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53KPQ_2018-03-27_final.stac-item
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_53JLJ_2018-05-19_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JHS_2018-06-08_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KTU_2018-07-03_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JML_2018-09-11_final.stac-item
2018-11-18 11:05:56	ga_s2bm_ard_3-2-1_52JEL_2018-11-18_final.stac-item
2018-12-13 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2018-12-13_final.stac-item
2019-01-17 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2019-01-17_final.stac-item
2019-01-23 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2019-01-23_final.stac-item
2019-02-15 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2019-02-15_final.stac-item
2019-02-21 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-02-21_final.stac-item
2019-03-16 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final.stac-item
2019-03-29 10:32:49	ga_s2bm_ard_3-2-1_53KRT_2019-03-29_final.stac-item
2019-04-11 10:46:02	ga_s2bm_ard_3-2-1_53JKF_2019-04-11_final.stac-item
2019-04-29 11:42:06	ga_s2bm_ard_3-2-1_51LVC_2019-04-29_final.stac-item
2019-05-02 10:17:12	ga_s2bm_ard_3-2-1_53HQA_2019-05-02_final.stac-item
2019-05-03 11:23:36	ga_s2bm_ard_3-2-1_51KXS_2019-05-03_final.stac-item
2019-07-12 11:23:54	ga_s2bm_ard_3-2-1_51KYR_2019-07-12_final.stac-item
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-08-03_final.stac-item
2019-09-02 10:26:21	ga_s2bm_ard_3-2-1_53HQD_2019-09-02_final.stac-item
2019-11-02 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2019-11-02_final.stac-item
2019-12-16 11:15:56	ga_s2bm_ard_3-2-1_51JYF_2019-12-16_final.stac-item
2019-12-18 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2019-12-18_final.stac-item
2019-12-22 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2019-12-22_final.stac-item
2020-01-16 10:45:38	ga_s2bm_ard_3-2-1_53JKG_2020-01-16_final.stac-item
2020-02-17 11:22:08	ga_s2bm_ard_3-2-1_52KDF_2020-02-17_final.stac-item
2020-03-23 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-03-23_final.stac-item
2020-05-11 11:04:31	ga_s2bm_ard_3-2-1_52JES_2020-05-11_final.stac-item
2020-07-10 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2020-07-10_final.stac-item
2020-07-13 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2020-07-13_final.stac-item
2020-08-04 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-08-04_final.stac-item
2020-08-13 10:45:35	ga_s2bm_ard_3-2-1_53JNG_2020-08-13_final.stac-item
2020-08-27 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final.stac-item
2020-09-23 10:17:07	ga_s2bm_ard_3-2-1_53HQA_2020-09-23_final.stac-item
2020-09-29 10:33:48	ga_s2bm_ard_3-2-1_53KRP_2020-09-29_final.stac-item
2020-10-24 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2020-10-24_final.stac-item
2020-12-01 10:45:30	ga_s2bm_ard_3-2-1_53JMG_2020-12-01_final.stac-item
2020-12-12 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2020-12-12_final.stac-item
2020-12-20 11:12:38	ga_s2bm_ard_3-2-1_52KFD_2020-12-20_final.stac-item
2020-12-30 11:11:27	ga_s2bm_ard_3-2-1_52LFJ_2020-12-30_final.stac-item
2021-02-03 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-02-03_final.stac-item
2021-03-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-03-12_final.stac-item
2021-03-21 10:45:39	ga_s2bm_ard_3-2-1_53JLG_2021-03-21_final.stac-item
2021-04-22 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2021-04-22_final.stac-item
2021-07-16 10:33:40	ga_s2bm_ard_3-2-1_53KPQ_2021-07-16_final.stac-item
2021-09-12 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-09-12_final.stac-item
2021-10-01 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-10-01_final.stac-item
2021-10-08 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-08_final.stac-item
2021-10-26 11:12:37	ga_s2bm_ard_3-2-1_52KDE_2021-10-26_final.stac-item
2021-10-28 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-10-28_final.stac-item
2021-11-21 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2021-11-21_final.stac-item
2021-12-02 11:02:47	ga_s2bm_ard_3-2-1_52KED_2021-12-02_final.stac-item
2021-12-06 10:43:29	ga_s2bm_ard_3-2-1_53KPQ_2021-12-06_final.stac-item
2022-01-15 10:41:04	ga_s2bm_ard_3-2-1_53LPE_2022-01-15_final.stac-item
2022-02-08 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-02-08_final.stac-item
2022-02-20 11:03:48	ga_s2bm_ard_3-2-1_52KDV_2022-02-20_final.stac-item
2022-04-09 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-04-09_final.stac-item
2022-06-03 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2022-06-03_final.stac-item
2022-07-10 11:04:52	ga_s2bm_ard_3-2-1_52JER_2022-07-10_final.stac-item
2022-08-25 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2022-08-25_final.stac-item
2022-08-30 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2022-08-30_final.stac-item
2022-09-04 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2022-09-04_final.stac-item
2022-10-01 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2022-10-01_final.stac-item
2022-10-28 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2022-10-28_final.stac-item
2022-12-02 13:31:37	ga_s2bm_ard_3-2-1_46LHM_2022-12-02_interim
2023-01-06 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-06_final.stac-item
2023-01-21 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-01-21_nrt.stac-item
2023-01-25 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2023-01-25_final.stac-item
2023-01-30 10:41:39	ga_s2bm_ard_3-2-1_53LNC_2023-01-30_final.stac-item
2023-01-30 10:45:38	ga_s2bm_ard_3-2-1_53JLG_2023-01-30_final.stac-item
2023-02-11 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2023-02-11_final
2023-02-24 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-02-24_final
2023-03-07 11:01:30	ga_s2bm_ard_3-2-1_53LKD_2023-03-07_final
2023-05-02 11:24:07	ga_s2bm_ard_3-2-1_51KZP_2023-05-02_final
2023-06-04 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-06-04_final
2023-06-07 11:45:19	ga_s2bm_ard_3-2-1_51JTK_2023-06-07_final
2023-06-28 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-06-28_final
2023-07-15 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2023-07-15_final
2023-08-10 11:23:16	ga_s2bm_ard_3-2-1_51KYT_2023-08-10_final
2023-08-31 10:55:32	ga_s2bm_ard_3-2-1_52JGN_2023-08-31_final
2023-11-02 11:03:12	ga_s2bm_ard_3-2-1_52KHB_2023-11-02_final
2023-11-08 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2023-11-08_final
2023-11-29 10:54:14	ga_s2bm_ard_3-2-1_52JGT_2023-11-29_final
2023-12-01 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-12-01_final
2024-02-27 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2024-02-27_final
2024-03-13 11:46:55	ga_s2bm_ard_3-2-1_50HNH_2024-03-13_final
2024-03-21 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2024-03-21_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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