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
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JYL_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JYM_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JYN_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JZM_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JZN_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KYP_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KYQ_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KYR_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KYS_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZA_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZB_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZP_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZQ_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZR_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZS_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZT_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZU_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZV_2018-07-17_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51LZC_2018-07-17_final.stac-item
2018-07-20 11:26:58	ga_s2bm_ard_3-2-1_51LZC_2018-07-20_final.stac-item
2018-07-20 11:26:58	ga_s2bm_ard_3-2-1_51LZD_2018-07-20_final.stac-item
2018-07-20 11:26:58	ga_s2bm_ard_3-2-1_51LZE_2018-07-20_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52HBK_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JBL_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JBM_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JBN_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JBP_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JBQ_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52JBR_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51HYD_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51HYE_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYF_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYG_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYH_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYJ_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYK_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYL_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYM_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYN_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JZM_2018-07-24_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JZN_2018-07-24_final.stac-item
2023-06-21 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2023-06-21_final
2023-06-21 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2023-06-21_final
2023-06-21 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2023-06-21_final
2023-06-21 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2023-06-21_final
2023-06-21 11:23:58	ga_s2bm_ard_3-2-1_51KYQ_2023-06-21_final
2023-06-21 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2023-06-21_final
2023-06-21 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-06-21_final
2023-06-21 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2023-06-21_final
2023-06-21 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-06-21_final
2023-06-21 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-06-21_final
2023-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2023-06-21_final
2023-06-21 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2023-06-21_final
2023-06-24 11:30:27	ga_s2bm_ard_3-2-1_51LZJ_2023-06-24_nrt
2023-06-24 11:30:42	ga_s2bm_ard_3-2-1_51LZH_2023-06-24_nrt
2023-06-24 11:30:56	ga_s2bm_ard_3-2-1_51LZG_2023-06-24_nrt
2023-06-24 11:31:10	ga_s2bm_ard_3-2-1_51LZF_2023-06-24_nrt
2023-06-24 11:31:25	ga_s2bm_ard_3-2-1_51LZE_2023-06-24_final
2023-07-01 11:21:45	ga_s2bm_ard_3-2-1_51LZD_2023-07-01_final
2023-07-01 11:22:00	ga_s2bm_ard_3-2-1_51LZC_2023-07-01_final
2023-07-01 11:22:14	ga_s2bm_ard_3-2-1_51KZB_2023-07-01_final
2023-07-01 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2023-07-01_final
2023-07-01 11:22:43	ga_s2bm_ard_3-2-1_51KZV_2023-07-01_final
2023-07-01 11:22:58	ga_s2bm_ard_3-2-1_51KZU_2023-07-01_final
2023-07-01 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-07-01_final
2023-07-01 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-07-01_final
2023-07-01 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-07-01_final
2023-07-01 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-01_final
2023-07-01 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-07-01_final
2023-07-01 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-07-01_final
2023-07-01 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-07-01_final
2023-07-04 11:31:41	ga_s2bm_ard_3-2-1_51LZD_2023-07-04_final
2023-07-04 11:31:54	ga_s2bm_ard_3-2-1_51LZC_2023-07-04_final
2023-07-11 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-07-11_final
2023-07-11 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2023-07-11_final
2023-07-11 11:24:37	ga_s2bm_ard_3-2-1_51JZM_2023-07-11_final
2023-07-11 11:24:42	ga_s2bm_ard_3-2-1_51JYM_2023-07-11_final
2023-07-14 11:31:40	ga_s2bm_ard_3-2-1_51LZD_2023-07-14_final
2023-07-14 11:31:53	ga_s2bm_ard_3-2-1_51LZC_2023-07-14_final
2023-07-21 11:24:10	ga_s2bm_ard_3-2-1_51KZP_2023-07-21_final
2023-07-21 11:24:14	ga_s2bm_ard_3-2-1_51KYP_2023-07-21_final
2023-07-21 11:24:25	ga_s2bm_ard_3-2-1_51JZN_2023-07-21_final
2023-07-21 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2023-07-21_final
2023-07-21 11:24:38	ga_s2bm_ard_3-2-1_51JZM_2023-07-21_final
2023-07-21 11:24:43	ga_s2bm_ard_3-2-1_51JYM_2023-07-21_final
2023-07-21 11:24:57	ga_s2bm_ard_3-2-1_51JYL_2023-07-21_final
2023-08-10 11:22:14	ga_s2bm_ard_3-2-1_51KZB_2023-08-10_final
2023-08-10 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2023-08-10_final
2023-08-10 11:22:43	ga_s2bm_ard_3-2-1_51KZV_2023-08-10_final
2023-08-10 11:22:58	ga_s2bm_ard_3-2-1_51KZU_2023-08-10_final
2023-08-10 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-08-10_final
2023-08-10 11:23:27	ga_s2bm_ard_3-2-1_51KZS_2023-08-10_final
2023-08-10 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-08-10_final
2023-08-10 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-08-10_final
2023-08-10 11:23:45	ga_s2bm_ard_3-2-1_51KYR_2023-08-10_final
2023-08-10 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-08-10_final
2023-08-10 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-08-10_final
2023-08-10 11:24:10	ga_s2bm_ard_3-2-1_51KZP_2023-08-10_final
2023-08-10 11:24:14	ga_s2bm_ard_3-2-1_51KYP_2023-08-10_final
2023-08-10 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2023-08-10_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

All years