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
2017-09-14 10:57:06	ga_s2bm_ard_3-2-1_53KLB_2017-09-14_final.stac-item
2017-09-14 10:57:06	ga_s2bm_ard_3-2-1_52KGG_2017-09-14_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51LVC_2017-09-16_final.stac-item
2017-09-23 09:50:12	ga_s2bm_ard_3-2-1_55KFB_2017-09-23_final.stac-item
2017-09-23 09:50:12	ga_s2bm_ard_3-2-1_55KGB_2017-09-23_final.stac-item
2017-09-23 09:50:12	ga_s2bm_ard_3-2-1_55LFC_2017-09-23_final.stac-item
2017-09-23 09:50:12	ga_s2bm_ard_3-2-1_55LGC_2017-09-23_final.stac-item
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_53KRB_2018-03-04_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54KTG_2018-03-04_final.stac-item
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54KUG_2018-03-04_final.stac-item
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54LUH_2018-03-04_final.stac-item
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54LVH_2018-03-04_final.stac-item
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54LWH_2018-03-04_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55KCB_2018-03-15_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55KEB_2018-03-15_final.stac-item
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55KFB_2018-03-15_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55KCB_2018-07-03_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55KEB_2018-07-03_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55KFB_2018-07-03_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55LCC_2018-07-03_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55LEC_2018-07-03_final.stac-item
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_55LFC_2018-07-03_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51LVC_2018-07-03_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51LWC_2018-07-03_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51LVC_2018-07-13_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51LWC_2018-07-13_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51LUC_2018-07-13_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52LFH_2018-07-14_final.stac-item
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52LGH_2018-07-14_final.stac-item
2019-09-24 11:01:38	ga_s2bm_ard_3-2-1_53LLC_2019-09-24_final.stac-item
2019-09-24 11:01:41	ga_s2bm_ard_3-2-1_53LKC_2019-09-24_final.stac-item
2019-09-24 11:01:42	ga_s2bm_ard_3-2-1_52LHH_2019-09-24_final.stac-item
2019-09-24 11:01:46	ga_s2bm_ard_3-2-1_52LGH_2019-09-24_final.stac-item
2019-09-24 11:01:50	ga_s2bm_ard_3-2-1_52LFH_2019-09-24_final.stac-item
2019-09-24 11:01:51	ga_s2bm_ard_3-2-1_53KLB_2019-09-24_final.stac-item
2019-09-24 11:01:56	ga_s2bm_ard_3-2-1_53KKB_2019-09-24_final.stac-item
2019-09-24 11:01:57	ga_s2bm_ard_3-2-1_52KHG_2019-09-24_final.stac-item
2019-09-24 11:02:00	ga_s2bm_ard_3-2-1_52KGG_2019-09-24_final.stac-item
2019-09-24 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2019-09-24_final.stac-item
2019-09-26 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2019-09-26_final.stac-item
2019-09-26 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2019-09-26_final.stac-item
2019-10-13 09:51:17	ga_s2bm_ard_3-2-1_55LGC_2019-10-13_final.stac-item
2019-10-13 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2019-10-13_final.stac-item
2019-10-13 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2019-10-13_final.stac-item
2019-10-13 09:51:34	ga_s2bm_ard_3-2-1_55KFB_2019-10-13_final.stac-item
2019-10-13 11:31:50	ga_s2bm_ard_3-2-1_51LZC_2019-10-13_final.stac-item
2019-10-13 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2019-10-13_final.stac-item
2019-10-13 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-10-13_final.stac-item
2019-10-13 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2019-10-13_final.stac-item
2019-10-13 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2019-10-13_final.stac-item
2019-10-13 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-10-13_final.stac-item
2019-10-13 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2019-10-13_final.stac-item
2019-10-13 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2019-10-13_final.stac-item
2019-10-14 11:02:05	ga_s2bm_ard_3-2-1_52KFG_2019-10-14_final.stac-item
2019-10-15 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2019-10-15_final.stac-item
2019-10-15 10:31:29	ga_s2bm_ard_3-2-1_54LVH_2019-10-15_final.stac-item
2019-10-15 10:31:32	ga_s2bm_ard_3-2-1_54LUH_2019-10-15_final.stac-item
2019-10-15 10:31:47	ga_s2bm_ard_3-2-1_54KUG_2019-10-15_final.stac-item
2019-10-15 10:31:50	ga_s2bm_ard_3-2-1_54KTG_2019-10-15_final.stac-item
2019-10-15 10:31:51	ga_s2bm_ard_3-2-1_53KRB_2019-10-15_final
2019-10-20 11:21:48	ga_s2bm_ard_3-2-1_52LDH_2019-10-20_final.stac-item
2019-10-20 11:21:51	ga_s2bm_ard_3-2-1_52LCH_2019-10-20_final.stac-item
2019-10-20 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2019-10-20_final.stac-item
2019-10-20 11:21:56	ga_s2bm_ard_3-2-1_51LZC_2019-10-20_final.stac-item
2019-10-20 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2019-10-20_final.stac-item
2019-10-20 11:22:06	ga_s2bm_ard_3-2-1_52KCG_2019-10-20_final.stac-item
2019-10-20 11:22:09	ga_s2bm_ard_3-2-1_52KBG_2019-10-20_final.stac-item
2019-10-20 11:22:10	ga_s2bm_ard_3-2-1_51KZB_2019-10-20_final.stac-item
2019-10-20 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2019-10-20_final.stac-item
2019-10-23 09:51:17	ga_s2bm_ard_3-2-1_55LGC_2019-10-23_final.stac-item
2019-10-23 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2019-10-23_final.stac-item
2019-10-23 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2019-10-23_final.stac-item
2019-10-23 09:51:34	ga_s2bm_ard_3-2-1_55KFB_2019-10-23_final.stac-item
2019-10-23 11:31:50	ga_s2bm_ard_3-2-1_51LZC_2019-10-23_final.stac-item
2019-10-23 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2019-10-23_final.stac-item
2019-10-23 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-10-23_final.stac-item
2019-10-23 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2019-10-23_final.stac-item
2019-10-23 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2019-10-23_final.stac-item
2019-10-23 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-10-23_final.stac-item
2019-10-23 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2019-10-23_final.stac-item
2019-10-23 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2019-10-23_final.stac-item
2019-11-02 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-11-02_final.stac-item
2019-11-02 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2019-11-02_final.stac-item
2019-11-02 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-11-02_final.stac-item
2019-11-02 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2019-11-02_final.stac-item
2019-11-02 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2019-11-02_final.stac-item
2019-11-02 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-11-02_final.stac-item
2019-11-02 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2019-11-02_final.stac-item
2019-11-02 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2019-11-02_final.stac-item
2019-11-04 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2019-11-04_final.stac-item
2019-11-04 10:31:28	ga_s2bm_ard_3-2-1_54LVH_2019-11-04_final.stac-item
2019-11-04 10:31:31	ga_s2bm_ard_3-2-1_54LUH_2019-11-04_final.stac-item
2019-11-04 10:31:46	ga_s2bm_ard_3-2-1_54KUG_2019-11-04_final.stac-item
2019-11-04 10:31:49	ga_s2bm_ard_3-2-1_54KTG_2019-11-04_final.stac-item
2019-11-04 10:31:50	ga_s2bm_ard_3-2-1_53KRB_2019-11-04_final
2019-11-05 10:01:14	ga_s2bm_ard_3-2-1_55LFC_2019-11-05_final.stac-item
2019-11-05 10:01:18	ga_s2bm_ard_3-2-1_55LEC_2019-11-05_final.stac-item
2019-11-05 10:01:24	ga_s2bm_ard_3-2-1_55LCC_2019-11-05_final.stac-item
2019-11-05 10:01:29	ga_s2bm_ard_3-2-1_55KFB_2019-11-05_final.stac-item
2019-11-05 10:01:32	ga_s2bm_ard_3-2-1_55KEB_2019-11-05_final.stac-item

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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