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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KPB_2017-07-31_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JNS_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPQ_2017-08-27_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JEQ_2017-11-03_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52JBR_2017-11-16_final.stac-item
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52KGF_2017-12-13_final.stac-item
2017-12-23 11:02:47	ga_s2bm_ard_3-2-1_52KFA_2017-12-23_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUA_2018-01-04_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52JCL_2018-04-02_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KZB_2018-05-08_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVS_2018-05-21_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KZU_2018-09-15_final.stac-item
2018-12-10 11:43:56	ga_s2bm_ard_3-2-1_50KRV_2018-12-10_final.stac-item
2018-12-26 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2018-12-26_final.stac-item
2019-01-26 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2019-01-26_final.stac-item
2019-03-08 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2019-03-08_final.stac-item
2019-03-28 11:02:16	ga_s2bm_ard_3-2-1_52KGF_2019-03-28_final.stac-item
2019-04-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2019-04-09_final.stac-item
2019-04-27 11:02:22	ga_s2bm_ard_3-2-1_52KGF_2019-04-27_final.stac-item
2019-04-27 11:03:38	ga_s2bm_ard_3-2-1_52KFA_2019-04-27_final.stac-item
2019-04-30 11:13:29	ga_s2bm_ard_3-2-1_52KCB_2019-04-30_final.stac-item
2019-06-25 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-06-25_final.stac-item
2019-09-07 11:12:05	ga_s2bm_ard_3-2-1_52KEG_2019-09-07_final.stac-item
2019-09-11 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2019-09-11_final.stac-item
2019-09-26 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2019-09-26_final.stac-item
2019-10-03 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2019-10-03_final.stac-item
2019-11-02 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2019-11-02_final.stac-item
2019-11-11 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2019-11-11_final.stac-item
2019-11-23 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2019-11-23_final.stac-item
2019-12-03 11:02:38	ga_s2bm_ard_3-2-1_52KGD_2019-12-03_final.stac-item
2019-12-12 11:34:52	ga_s2bm_ard_3-2-1_51JVL_2019-12-12_final.stac-item
2020-05-03 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2020-05-03_final.stac-item
2020-05-10 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-05-10_final.stac-item
2020-06-03 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2020-06-03_final.stac-item
2020-07-05 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-07-05_final
2020-07-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-05_final.stac-item
2020-08-11 11:44:20	ga_s2bm_ard_3-2-1_51KTP_2020-08-11_final.stac-item
2020-08-14 11:54:26	ga_s2bm_ard_3-2-1_50KNU_2020-08-14_final.stac-item
2020-08-22 11:14:56	ga_s2bm_ard_3-2-1_52JBR_2020-08-22_final.stac-item
2020-09-28 11:02:32	ga_s2bm_ard_3-2-1_52KGE_2020-09-28_final.stac-item
2020-10-18 11:04:32	ga_s2bm_ard_3-2-1_52JFS_2020-10-18_final.stac-item
2020-11-05 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-11-05_final.stac-item
2020-11-22 11:53:54	ga_s2bm_ard_3-2-1_50KNA_2020-11-22_final.stac-item
2020-12-03 11:22:21	ga_s2bm_ard_3-2-1_52KBF_2020-12-03_final.stac-item
2021-01-06 11:06:20	ga_s2bm_ard_3-2-1_52HCK_2021-01-06_final
2021-02-04 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2021-02-04_final.stac-item
2021-03-10 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2021-03-10_final.stac-item
2021-05-06 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2021-05-06_final.stac-item
2021-05-12 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2021-05-12_final.stac-item
2021-05-19 11:14:34	ga_s2bm_ard_3-2-1_52JCS_2021-05-19_final.stac-item
2021-06-15 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2021-06-15_final.stac-item
2021-07-17 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2021-07-17_final.stac-item
2021-07-18 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2021-07-18_final.stac-item
2021-07-20 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-20_final.stac-item
2021-07-31 11:22:24	ga_s2bm_ard_3-2-1_52KBF_2021-07-31_final.stac-item
2021-08-13 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2021-08-13_final.stac-item
2021-08-23 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2021-08-23_final.stac-item
2021-09-13 11:04:11	ga_s2bm_ard_3-2-1_52JFT_2021-09-13_final.stac-item
2021-09-25 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2021-09-25_final.stac-item
2021-09-30 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2021-09-30_final.stac-item
2021-10-15 11:41:02	ga_s2bm_ard_3-2-1_51LVG_2021-10-15_final.stac-item
2021-11-15 11:14:19	ga_s2bm_ard_3-2-1_52JCT_2021-11-15_final.stac-item
2021-12-04 11:42:26	ga_s2bm_ard_3-2-1_51KUA_2021-12-04_final.stac-item
2022-01-06 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2022-01-06_final.stac-item
2022-01-13 11:44:16	ga_s2bm_ard_3-2-1_50KQU_2022-01-13_final.stac-item
2022-02-13 11:14:32	ga_s2bm_ard_3-2-1_51JZM_2022-02-13_final.stac-item
2022-03-12 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2022-03-12_final.stac-item
2022-03-22 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2022-03-22_final.stac-item
2022-03-22 11:03:11	ga_s2bm_ard_3-2-1_52KGB_2022-03-22_final.stac-item
2022-04-11 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2022-04-11_final.stac-item
2022-07-16 11:22:27	ga_s2bm_ard_3-2-1_52KBF_2022-07-16_final.stac-item
2022-08-19 11:04:02	ga_s2bm_ard_3-2-1_52KFU_2022-08-19_final.stac-item
2022-09-20 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2022-09-20_final.stac-item
2022-10-08 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2022-10-08_final.stac-item
2022-10-25 10:54:43	ga_s2bm_ard_3-2-1_52JGR_2022-10-25_final.stac-item
2022-10-28 11:02:28	ga_s2bm_ard_3-2-1_52KGE_2022-10-28_final.stac-item
2022-12-12 11:53:47	ga_s2bm_ard_3-2-1_50KPA_2022-12-12_final.stac-item
2022-12-15 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2022-12-15_final.stac-item
2023-02-04 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2023-02-04_final.stac-item
2023-04-21 11:57:14	ga_s2bm_ard_3-2-1_50HKH_2023-04-21_nrt
2023-05-18 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2023-05-18_final
2023-06-25 11:05:38	ga_s2bm_ard_3-2-1_52JDN_2023-06-25_final
2023-07-13 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-07-13_final
2023-07-20 11:54:10	ga_s2bm_ard_3-2-1_50KPV_2023-07-20_final
2023-08-09 11:52:57	ga_s2bm_ard_3-2-1_50KPE_2023-08-09_nrt
2023-08-29 11:51:36	ga_s2bm_ard_3-2-1_51LTE_2023-08-29_nrt
2023-10-01 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-01_final
2023-10-31 12:06:19	ga_s2bm_ard_3-2-1_49JFG_2023-10-31_nrt
2023-12-14 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2023-12-14_final
2023-12-14 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2023-12-14_final
2023-12-31 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2023-12-31_final
2024-01-06 11:54:08	ga_s2bm_ard_3-2-1_50KNV_2024-01-06_final
2024-01-19 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2024-01-19_final
2024-02-12 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2024-02-12_final
2024-02-25 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2024-02-25_final
2024-03-12 12:14:13	ga_s2bm_ard_3-2-1_49KFQ_2024-03-12_nrt
2024-03-26 11:54:55	ga_s2bm_ard_3-2-1_50JMS_2024-03-26_final
2024-04-13 11:14:50	ga_s2bm_ard_3-2-1_52JCR_2024-04-13_final
2024-04-15 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2024-04-15_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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