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
2017-07-02 09:42:30	ga_s2bm_ard_3-2-1_55KGS_2017-07-02_final.stac-item
2017-07-02 09:42:30	ga_s2bm_ard_3-2-1_55KGT_2017-07-02_final.stac-item
2017-07-02 09:42:30	ga_s2bm_ard_3-2-1_55KHS_2017-07-02_final.stac-item
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_54KUC_2017-07-04_final.stac-item
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_54KVC_2017-07-04_final.stac-item
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_54KWC_2017-07-04_final.stac-item
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_54KXC_2017-07-04_final.stac-item
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLC_2017-07-04_final.stac-item
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KMC_2017-07-04_final.stac-item
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KNC_2017-07-04_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_54KTC_2017-07-07_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_54KUC_2017-07-07_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53KQS_2017-07-07_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53KQT_2017-07-07_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53KRS_2017-07-07_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53KRT_2017-07-07_final.stac-item
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KMC_2017-07-11_final.stac-item
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KNC_2017-07-11_final.stac-item
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KPC_2017-07-11_final.stac-item
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KQC_2017-07-11_final.stac-item
2017-07-22 09:42:13	ga_s2bm_ard_3-2-1_55KGS_2017-07-22_final.stac-item
2017-07-22 09:42:13	ga_s2bm_ard_3-2-1_55KGT_2017-07-22_final.stac-item
2017-07-22 09:42:13	ga_s2bm_ard_3-2-1_55KHS_2017-07-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KEC_2018-04-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_53KKT_2018-04-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KFC_2018-04-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KGB_2018-04-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KGC_2018-04-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KHB_2018-04-22_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KHC_2018-04-22_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_54KTC_2018-04-23_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_54KUC_2018-04-23_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53KQS_2018-04-23_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KMC_2018-05-17_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KNC_2018-05-17_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KPC_2018-05-17_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KQC_2018-05-17_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KUT_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVT_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KWT_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXT_2018-05-21_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_54KTC_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_54KUC_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQS_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQT_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KRS_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KRT_2018-05-23_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KTT_2018-05-24_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUT_2018-05-24_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_50KQB_2018-05-24_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KVT_2018-05-24_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_50KQC_2018-05-24_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_50KRB_2018-05-24_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_50KRC_2018-05-24_final.stac-item
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KBC_2018-05-25_final.stac-item
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KCC_2018-05-25_final.stac-item
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KDC_2018-05-25_final.stac-item
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KEC_2018-05-25_final.stac-item
2018-05-26 10:37:24	ga_s2bm_ard_3-2-1_53KMT_2018-05-26_final.stac-item
2018-05-26 10:37:24	ga_s2bm_ard_3-2-1_53KNT_2018-05-26_final.stac-item
2018-05-26 10:37:24	ga_s2bm_ard_3-2-1_53KPT_2018-05-26_final.stac-item
2018-05-26 10:37:24	ga_s2bm_ard_3-2-1_53KQT_2018-05-26_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KUT_2018-05-31_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVT_2018-05-31_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWT_2018-05-31_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXT_2018-05-31_final.stac-item
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55KET_2018-06-10_final.stac-item
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55KFT_2018-06-10_final.stac-item
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55KGS_2018-06-10_final.stac-item
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55KGT_2018-06-10_final.stac-item
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55KHS_2018-06-10_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEC_2018-06-11_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_53KKT_2018-06-11_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KFC_2018-06-11_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KGB_2018-06-11_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KGC_2018-06-11_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KHB_2018-06-11_final.stac-item
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KHC_2018-06-11_final.stac-item
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KBC_2018-06-14_final.stac-item
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KCC_2018-06-14_final.stac-item
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KDC_2018-06-14_final.stac-item
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KEC_2018-06-14_final.stac-item
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55KGS_2018-06-17_final.stac-item
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55KGT_2018-06-17_final.stac-item
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55KHS_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBC_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KCC_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KXT_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KYS_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KYT_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZS_2018-06-17_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZT_2018-06-17_final.stac-item
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54KUC_2018-06-19_final.stac-item
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54KVC_2018-06-19_final.stac-item
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54KWC_2018-06-19_final.stac-item
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54KXC_2018-06-19_final.stac-item
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55KET_2018-06-20_final.stac-item
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55KFT_2018-06-20_final.stac-item
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55KGS_2018-06-20_final.stac-item
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55KGT_2018-06-20_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