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
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54LVH_2017-10-22_final.stac-item
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54LWH_2017-10-22_final.stac-item
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54LXH_2017-10-22_final.stac-item
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54LYH_2017-10-22_final.stac-item
2017-10-24 10:57:02	ga_s2bm_ard_3-2-1_52KHG_2017-10-24_final.stac-item
2017-10-24 10:57:02	ga_s2bm_ard_3-2-1_52LFH_2017-10-24_final.stac-item
2017-10-24 10:57:02	ga_s2bm_ard_3-2-1_52LGH_2017-10-24_final.stac-item
2017-10-24 10:57:02	ga_s2bm_ard_3-2-1_52LHH_2017-10-24_final.stac-item
2017-10-24 10:57:02	ga_s2bm_ard_3-2-1_53LKC_2017-10-24_final.stac-item
2017-10-24 10:57:02	ga_s2bm_ard_3-2-1_53LLC_2017-10-24_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_54KZG_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_54LYH_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_55LBC_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_54LZH_2017-10-29_final.stac-item
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_55LCC_2017-10-29_final.stac-item
2017-11-02 09:50:52	ga_s2bm_ard_3-2-1_55LFC_2017-11-02_final.stac-item
2017-11-02 09:50:52	ga_s2bm_ard_3-2-1_55LGC_2017-11-02_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52KHG_2017-11-03_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52LFH_2017-11-03_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52LGH_2017-11-03_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52LHH_2017-11-03_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_53LKC_2017-11-03_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_53LLC_2017-11-03_final.stac-item
2017-11-04 10:26:54	ga_s2bm_ard_3-2-1_53KRB_2017-11-04_final
2017-11-04 10:26:54	ga_s2bm_ard_3-2-1_54LUH_2017-11-04_final.stac-item
2017-11-04 10:26:54	ga_s2bm_ard_3-2-1_54LVH_2017-11-04_final.stac-item
2017-11-04 10:26:54	ga_s2bm_ard_3-2-1_54LWH_2017-11-04_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51LVC_2017-11-05_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51LWC_2017-11-05_final.stac-item
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LDH_2017-11-06_final.stac-item
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LEH_2017-11-06_final.stac-item
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LFH_2017-11-06_final.stac-item
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LGH_2017-11-06_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54KZG_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54LYH_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_55LBC_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54LZH_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_55LCC_2017-11-08_final.stac-item
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LVH_2017-11-11_final.stac-item
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LWH_2017-11-11_final.stac-item
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LXH_2017-11-11_final.stac-item
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LYH_2017-11-11_final.stac-item
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55LFC_2017-11-12_final.stac-item
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55LGC_2017-11-12_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_52KHG_2017-11-13_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_52LFH_2017-11-13_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_52LGH_2017-11-13_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_52LHH_2017-11-13_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_53LKC_2017-11-13_final.stac-item
2017-11-13 10:57:02	ga_s2bm_ard_3-2-1_53LLC_2017-11-13_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53KRB_2017-11-14_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_54LUH_2017-11-14_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_54LVH_2017-11-14_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_54LWH_2017-11-14_final.stac-item
2018-05-18 11:16:57	ga_s2bm_ard_3-2-1_52LBH_2018-05-18_final.stac-item
2018-12-17 11:31:43	ga_s2bm_ard_3-2-1_51LZC_2018-12-17_final.stac-item
2018-12-17 11:31:47	ga_s2bm_ard_3-2-1_51LYC_2018-12-17_final.stac-item
2018-12-17 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2018-12-17_final.stac-item
2018-12-17 11:31:54	ga_s2bm_ard_3-2-1_51LWC_2018-12-17_final.stac-item
2018-12-18 11:01:33	ga_s2bm_ard_3-2-1_53LLC_2018-12-18_final.stac-item
2018-12-18 11:01:36	ga_s2bm_ard_3-2-1_53LKC_2018-12-18_final.stac-item
2018-12-18 11:01:37	ga_s2bm_ard_3-2-1_52LHH_2018-12-18_final.stac-item
2018-12-18 11:01:41	ga_s2bm_ard_3-2-1_52LGH_2018-12-18_final.stac-item
2018-12-18 11:01:45	ga_s2bm_ard_3-2-1_52LFH_2018-12-18_final.stac-item
2018-12-18 11:01:52	ga_s2bm_ard_3-2-1_52KHG_2018-12-18_final.stac-item
2018-12-20 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2018-12-20_final.stac-item
2018-12-20 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2018-12-20_final.stac-item
2018-12-21 11:11:35	ga_s2bm_ard_3-2-1_52LGH_2018-12-21_final.stac-item
2018-12-21 11:11:40	ga_s2bm_ard_3-2-1_52LFH_2018-12-21_final.stac-item
2018-12-21 11:11:43	ga_s2bm_ard_3-2-1_52LEH_2018-12-21_final.stac-item
2018-12-21 11:11:47	ga_s2bm_ard_3-2-1_52LDH_2018-12-21_final.stac-item
2018-12-24 11:21:43	ga_s2bm_ard_3-2-1_52LDH_2018-12-24_final.stac-item
2018-12-24 11:21:46	ga_s2bm_ard_3-2-1_52LCH_2018-12-24_final.stac-item
2018-12-24 11:21:49	ga_s2bm_ard_3-2-1_52LBH_2018-12-24_final.stac-item
2018-12-24 11:21:50	ga_s2bm_ard_3-2-1_51LZC_2018-12-24_final.stac-item
2018-12-24 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2018-12-24_final.stac-item
2018-12-24 11:22:02	ga_s2bm_ard_3-2-1_51KZB_2018-12-24_final.stac-item
2018-12-25 10:51:27	ga_s2bm_ard_3-2-1_53LPC_2018-12-25_final
2018-12-25 10:51:32	ga_s2bm_ard_3-2-1_53LNC_2018-12-25_final.stac-item
2018-12-25 10:51:36	ga_s2bm_ard_3-2-1_53LMC_2018-12-25_final.stac-item
2018-12-25 10:51:39	ga_s2bm_ard_3-2-1_53LLC_2018-12-25_final.stac-item
2018-12-27 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2018-12-27_final.stac-item
2018-12-27 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2018-12-27_final.stac-item
2018-12-27 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2018-12-27_final.stac-item
2018-12-27 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2018-12-27_final.stac-item
2018-12-30 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2018-12-30_final.stac-item
2018-12-30 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2018-12-30_final.stac-item
2018-12-31 11:11:37	ga_s2bm_ard_3-2-1_52LGH_2018-12-31_final.stac-item
2018-12-31 11:11:42	ga_s2bm_ard_3-2-1_52LFH_2018-12-31_final.stac-item
2018-12-31 11:11:45	ga_s2bm_ard_3-2-1_52LEH_2018-12-31_final.stac-item
2018-12-31 11:11:49	ga_s2bm_ard_3-2-1_52LDH_2018-12-31_final.stac-item
2019-01-01 10:41:32	ga_s2bm_ard_3-2-1_53LQC_2019-01-01_final
2019-01-01 10:41:35	ga_s2bm_ard_3-2-1_53LPC_2019-01-01_final
2019-01-01 10:41:39	ga_s2bm_ard_3-2-1_53LNC_2019-01-01_final.stac-item
2019-01-03 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2019-01-03_final.stac-item
2019-01-03 11:21:48	ga_s2bm_ard_3-2-1_52LCH_2019-01-03_final.stac-item
2019-01-03 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2019-01-03_final.stac-item
2019-01-03 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2019-01-03_final.stac-item
2019-01-03 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2019-01-03_final.stac-item
2019-01-03 11:22:01	ga_s2bm_ard_3-2-1_51KZB_2019-01-03_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

All years