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
2020-03-01 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-03-01_final.stac-item
2020-03-01 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2020-03-01_final.stac-item
2020-03-02 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2020-03-02_final.stac-item
2020-03-02 11:05:49	ga_s2bm_ard_3-2-1_52JCM_2020-03-02_final.stac-item
2020-03-02 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2020-03-02_final.stac-item
2020-03-02 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2020-03-02_final.stac-item
2020-03-02 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2020-03-02_final.stac-item
2020-03-02 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2020-03-02_final.stac-item
2020-03-03 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-03_final.stac-item
2020-03-05 11:12:50	ga_s2bm_ard_3-2-1_52KCD_2020-03-05_final.stac-item
2020-03-05 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2020-03-05_final.stac-item
2020-03-05 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2020-03-05_final.stac-item
2020-03-05 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2020-03-05_final.stac-item
2020-03-05 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2020-03-05_final.stac-item
2020-03-05 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-03-05_final.stac-item
2020-03-06 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2020-03-06_final.stac-item
2020-03-06 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2020-03-06_final.stac-item
2020-03-08 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2020-03-08_final.stac-item
2020-03-08 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2020-03-08_final.stac-item
2020-03-08 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2020-03-08_final.stac-item
2020-03-08 11:22:31	ga_s2bm_ard_3-2-1_52KCE_2020-03-08_final.stac-item
2020-03-08 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2020-03-08_final.stac-item
2020-03-08 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2020-03-08_final.stac-item
2020-03-08 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-03-08_final.stac-item
2020-03-09 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-09_final.stac-item
2020-03-09 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2020-03-09_final.stac-item
2020-03-10 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2020-03-10_final.stac-item
2020-03-10 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-03-10_final.stac-item
2020-03-11 11:31:29	ga_s2bm_ard_3-2-1_51LWE_2020-03-11_final.stac-item
2020-03-11 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-03-11_final.stac-item
2020-03-11 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2020-03-11_final.stac-item
2020-03-12 11:04:30	ga_s2bm_ard_3-2-1_52JES_2020-03-12_final.stac-item
2020-03-12 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2020-03-12_final.stac-item
2020-03-12 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2020-03-12_final.stac-item
2020-03-12 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2020-03-12_final.stac-item
2020-03-12 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2020-03-12_final.stac-item
2020-03-12 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2020-03-12_final.stac-item
2020-03-13 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-03-13_final.stac-item
2020-03-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-13_final.stac-item
2020-03-13 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2020-03-13_final.stac-item
2020-03-14 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2020-03-14_final.stac-item
2020-03-14 11:41:24	ga_s2bm_ard_3-2-1_51LWE_2020-03-14_final.stac-item
2020-03-15 11:12:36	ga_s2bm_ard_3-2-1_52KCE_2020-03-15_final.stac-item
2020-03-15 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2020-03-15_final.stac-item
2020-03-15 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2020-03-15_final.stac-item
2020-03-15 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2020-03-15_final.stac-item
2020-03-15 11:15:49	ga_s2bm_ard_3-2-1_52JBM_2020-03-15_final.stac-item
2020-03-15 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2020-03-15_final.stac-item
2020-03-15 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-03-15_final.stac-item
2020-03-16 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2020-03-16_final.stac-item
2020-03-16 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2020-03-16_final.stac-item
2020-03-17 11:51:11	ga_s2bm_ard_3-2-1_51LUF_2020-03-17_final.stac-item
2020-03-18 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2020-03-18_final.stac-item
2020-03-18 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2020-03-18_final.stac-item
2020-03-18 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2020-03-18_final.stac-item
2020-03-18 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2020-03-18_final.stac-item
2020-03-18 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2020-03-18_final.stac-item
2020-03-18 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-03-18_final.stac-item
2020-03-19 10:55:15	ga_s2bm_ard_3-2-1_52JFP_2020-03-19_final.stac-item
2020-03-19 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2020-03-19_final.stac-item
2020-03-19 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-19_final.stac-item
2020-03-19 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2020-03-19_final.stac-item
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-20_final.stac-item
2020-03-21 11:31:29	ga_s2bm_ard_3-2-1_51LWE_2020-03-21_final.stac-item
2020-03-21 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-03-21_final.stac-item
2020-03-21 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2020-03-21_final.stac-item
2020-03-22 11:04:30	ga_s2bm_ard_3-2-1_52JES_2020-03-22_final.stac-item
2020-03-22 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2020-03-22_final.stac-item
2020-03-22 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2020-03-22_final.stac-item
2020-03-22 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2020-03-22_final.stac-item
2020-03-22 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2020-03-22_final.stac-item
2020-03-22 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2020-03-22_final.stac-item
2020-03-22 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2020-03-22_final.stac-item
2020-03-22 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2020-03-22_final.stac-item
2020-03-23 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-03-23_final.stac-item
2020-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-23_final.stac-item
2020-03-24 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2020-03-24_final.stac-item
2020-03-24 11:41:24	ga_s2bm_ard_3-2-1_51LWE_2020-03-24_final.stac-item
2020-03-25 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2020-03-25_final.stac-item
2020-03-25 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2020-03-25_final.stac-item
2020-03-25 11:15:49	ga_s2bm_ard_3-2-1_52JBM_2020-03-25_final.stac-item
2020-03-25 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2020-03-25_final.stac-item
2020-03-25 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-03-25_final.stac-item
2020-03-26 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2020-03-26_final.stac-item
2020-03-26 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2020-03-26_final.stac-item
2020-03-27 11:51:11	ga_s2bm_ard_3-2-1_51LUF_2020-03-27_final.stac-item
2020-03-28 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2020-03-28_final.stac-item
2020-03-28 11:22:05	ga_s2bm_ard_3-2-1_52KBG_2020-03-28_final.stac-item
2020-03-28 11:22:06	ga_s2bm_ard_3-2-1_51KZB_2020-03-28_final.stac-item
2020-03-28 11:22:31	ga_s2bm_ard_3-2-1_52KCE_2020-03-28_final.stac-item
2020-03-28 11:22:35	ga_s2bm_ard_3-2-1_51KZV_2020-03-28_final.stac-item
2020-03-28 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2020-03-28_final.stac-item
2020-03-28 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-03-28_final.stac-item
2020-03-29 10:55:14	ga_s2bm_ard_3-2-1_52JFP_2020-03-29_final.stac-item
2020-03-29 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-29_final.stac-item
2020-03-29 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2020-03-29_final.stac-item
2020-03-30 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-03-30_final.stac-item
2020-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-03-30_final.stac-item
2020-03-31 11:31:28	ga_s2bm_ard_3-2-1_51LWE_2020-03-31_final.stac-item
2020-03-31 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-03-31_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