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
2020-12-06 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2020-12-06_final.stac-item
2020-12-06 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2020-12-06_final.stac-item
2020-12-06 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2020-12-06_final.stac-item
2020-12-06 11:31:58	ga_s2bm_ard_3-2-1_51KZB_2020-12-06_final.stac-item
2020-12-06 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2020-12-06_final.stac-item
2020-12-06 11:32:06	ga_s2bm_ard_3-2-1_51KYB_2020-12-06_final.stac-item
2020-12-07 11:01:36	ga_s2bm_ard_3-2-1_53LLC_2020-12-07_final.stac-item
2020-12-07 11:01:40	ga_s2bm_ard_3-2-1_53LKC_2020-12-07_final.stac-item
2020-12-07 11:01:41	ga_s2bm_ard_3-2-1_52LHH_2020-12-07_final.stac-item
2020-12-07 11:01:44	ga_s2bm_ard_3-2-1_52LGH_2020-12-07_final.stac-item
2020-12-07 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2020-12-07_final.stac-item
2020-12-07 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2020-12-07_final.stac-item
2020-12-09 10:01:12	ga_s2bm_ard_3-2-1_55LFC_2020-12-09_final.stac-item
2020-12-09 10:01:15	ga_s2bm_ard_3-2-1_55LEC_2020-12-09_final.stac-item
2020-12-09 10:01:22	ga_s2bm_ard_3-2-1_55LCC_2020-12-09_final.stac-item
2020-12-09 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2020-12-09_final.stac-item
2020-12-09 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2020-12-09_final.stac-item
2020-12-09 11:42:00	ga_s2bm_ard_3-2-1_51LUC_2020-12-09_final
2020-12-10 11:11:37	ga_s2bm_ard_3-2-1_52LGH_2020-12-10_final.stac-item
2020-12-10 11:11:42	ga_s2bm_ard_3-2-1_52LFH_2020-12-10_final.stac-item
2020-12-10 11:11:46	ga_s2bm_ard_3-2-1_52LEH_2020-12-10_final.stac-item
2020-12-10 11:11:49	ga_s2bm_ard_3-2-1_52LDH_2020-12-10_final.stac-item
2020-12-11 10:41:32	ga_s2bm_ard_3-2-1_53LQC_2020-12-11_final
2020-12-11 10:41:35	ga_s2bm_ard_3-2-1_53LPC_2020-12-11_final
2020-12-11 10:41:39	ga_s2bm_ard_3-2-1_53LNC_2020-12-11_final.stac-item
2020-12-11 10:41:42	ga_s2bm_ard_3-2-1_53KRB_2020-12-11_final
2020-12-11 10:41:46	ga_s2bm_ard_3-2-1_53KQB_2020-12-11_final
2020-12-13 09:41:29	ga_s2bm_ard_3-2-1_55KHB_2020-12-13_final
2020-12-14 10:51:28	ga_s2bm_ard_3-2-1_53LPC_2020-12-14_final
2020-12-14 10:51:33	ga_s2bm_ard_3-2-1_53LNC_2020-12-14_final.stac-item
2020-12-14 10:51:36	ga_s2bm_ard_3-2-1_53LMC_2020-12-14_final.stac-item
2020-12-14 10:51:39	ga_s2bm_ard_3-2-1_53LLC_2020-12-14_final.stac-item
2020-12-16 11:31:44	ga_s2bm_ard_3-2-1_51LZC_2020-12-16_final.stac-item
2020-12-16 11:31:49	ga_s2bm_ard_3-2-1_51LYC_2020-12-16_final.stac-item
2020-12-16 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2020-12-16_final.stac-item
2020-12-16 11:31:55	ga_s2bm_ard_3-2-1_51KZB_2020-12-16_final.stac-item
2020-12-16 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2020-12-16_final.stac-item
2020-12-16 11:32:03	ga_s2bm_ard_3-2-1_51KYB_2020-12-16_final.stac-item
2020-12-19 10:01:10	ga_s2bm_ard_3-2-1_55LFC_2020-12-19_final.stac-item
2020-12-19 10:01:13	ga_s2bm_ard_3-2-1_55LEC_2020-12-19_final.stac-item
2020-12-19 10:01:20	ga_s2bm_ard_3-2-1_55LCC_2020-12-19_final.stac-item
2020-12-19 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2020-12-19_final.stac-item
2020-12-19 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2020-12-19_final.stac-item
2020-12-19 11:41:58	ga_s2bm_ard_3-2-1_51LUC_2020-12-19_final
2020-12-20 11:11:36	ga_s2bm_ard_3-2-1_52LGH_2020-12-20_final.stac-item
2020-12-20 11:11:41	ga_s2bm_ard_3-2-1_52LFH_2020-12-20_final.stac-item
2020-12-20 11:11:44	ga_s2bm_ard_3-2-1_52LEH_2020-12-20_final.stac-item
2020-12-20 11:11:47	ga_s2bm_ard_3-2-1_52LDH_2020-12-20_final.stac-item
2020-12-21 10:41:45	ga_s2bm_ard_3-2-1_53KQB_2020-12-21_final
2021-02-18 11:11:37	ga_s2bm_ard_3-2-1_52LGH_2021-02-18_final.stac-item
2021-02-18 11:11:42	ga_s2bm_ard_3-2-1_52LFH_2021-02-18_final.stac-item
2021-02-18 11:11:46	ga_s2bm_ard_3-2-1_52LEH_2021-02-18_final.stac-item
2021-02-18 11:11:49	ga_s2bm_ard_3-2-1_52LDH_2021-02-18_final.stac-item
2021-02-20 10:11:17	ga_s2bm_ard_3-2-1_55LCC_2021-02-20_final.stac-item
2021-02-20 10:11:20	ga_s2bm_ard_3-2-1_55LBC_2021-02-20_final.stac-item
2021-02-20 10:11:21	ga_s2bm_ard_3-2-1_54LZH_2021-02-20_final.stac-item
2021-02-20 10:11:25	ga_s2bm_ard_3-2-1_54LYH_2021-02-20_final.stac-item
2021-02-20 10:11:36	ga_s2bm_ard_3-2-1_54KZG_2021-02-20_final.stac-item
2021-02-20 10:11:39	ga_s2bm_ard_3-2-1_54KYG_2021-02-20_final.stac-item
2021-02-21 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2021-02-21_final.stac-item
2021-02-21 11:21:48	ga_s2bm_ard_3-2-1_52LCH_2021-02-21_final.stac-item
2021-02-21 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2021-02-21_final.stac-item
2021-02-21 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2021-02-21_final.stac-item
2021-02-21 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2021-02-21_final.stac-item
2021-02-21 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2021-02-21_final.stac-item
2021-02-21 11:22:10	ga_s2bm_ard_3-2-1_51KYB_2021-02-21_final.stac-item
2021-02-26 10:31:21	ga_s2bm_ard_3-2-1_54LWH_2021-02-26_final.stac-item
2021-02-26 10:31:26	ga_s2bm_ard_3-2-1_54LVH_2021-02-26_final.stac-item
2021-02-26 10:31:30	ga_s2bm_ard_3-2-1_54LUH_2021-02-26_final.stac-item
2021-02-26 10:31:48	ga_s2bm_ard_3-2-1_53KRB_2021-02-26_final
2021-03-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-03-02_final
2021-03-04 10:51:30	ga_s2bm_ard_3-2-1_53LPC_2021-03-04_final
2021-03-04 10:51:35	ga_s2bm_ard_3-2-1_53LNC_2021-03-04_final.stac-item
2021-03-04 10:51:39	ga_s2bm_ard_3-2-1_53LMC_2021-03-04_final.stac-item
2021-03-04 10:51:42	ga_s2bm_ard_3-2-1_53LLC_2021-03-04_final.stac-item
2023-02-25 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2023-02-25_final
2023-03-01 10:41:30	ga_s2bm_ard_3-2-1_54LTH_2023-03-01_nrt
2023-03-01 10:41:31	ga_s2bm_ard_3-2-1_53LRC_2023-03-01_nrt
2023-03-01 10:41:35	ga_s2bm_ard_3-2-1_53LQC_2023-03-01_final
2023-03-01 10:41:38	ga_s2bm_ard_3-2-1_53LPC_2023-03-01_final
2023-03-01 10:41:42	ga_s2bm_ard_3-2-1_53LNC_2023-03-01_final
2023-03-01 10:41:46	ga_s2bm_ard_3-2-1_53KRB_2023-03-01_final
2023-03-01 10:41:50	ga_s2bm_ard_3-2-1_53KQB_2023-03-01_final
2023-03-04 10:51:38	ga_s2bm_ard_3-2-1_53LPC_2023-03-04_final
2023-03-04 10:51:41	ga_s2bm_ard_3-2-1_53LNC_2023-03-04_final
2023-03-04 10:51:43	ga_s2bm_ard_3-2-1_53LMC_2023-03-04_final
2023-03-04 10:51:45	ga_s2bm_ard_3-2-1_53LLC_2023-03-04_final
2023-03-05 10:21:25	ga_s2bm_ard_3-2-1_54LYH_2023-03-05_final
2023-03-05 10:21:28	ga_s2bm_ard_3-2-1_54LXH_2023-03-05_final
2023-03-05 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2023-03-05_final
2023-03-05 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2023-03-05_final
2023-03-17 11:01:42	ga_s2bm_ard_3-2-1_53LLC_2023-03-17_final
2023-03-17 11:01:45	ga_s2bm_ard_3-2-1_53LKC_2023-03-17_final
2023-03-17 11:01:47	ga_s2bm_ard_3-2-1_52LHH_2023-03-17_final
2023-03-17 11:01:50	ga_s2bm_ard_3-2-1_52LGH_2023-03-17_final
2023-03-17 11:01:54	ga_s2bm_ard_3-2-1_52LFH_2023-03-17_final
2023-03-17 11:02:04	ga_s2bm_ard_3-2-1_52KGG_2023-03-17_final
2023-03-18 10:31:26	ga_s2bm_ard_3-2-1_54LWH_2023-03-18_final
2023-03-18 10:31:31	ga_s2bm_ard_3-2-1_54LVH_2023-03-18_final
2023-03-18 10:31:38	ga_s2bm_ard_3-2-1_54LTH_2023-03-18_nrt

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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