Search ga_s2am_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
2021-03-01 11:33:23	ga_s2am_ard_3-2-1_51KXS_2021-03-01_final.stac-item
2021-03-03 12:13:39	ga_s2am_ard_3-2-1_50KKB_2021-03-03_final.stac-item
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-03-03_final.stac-item
2021-03-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-03-03_final.stac-item
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final.stac-item
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-03-10_final.stac-item
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final.stac-item
2021-03-10 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-03-10_final.stac-item
2021-03-13 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-03-13_final.stac-item
2021-03-13 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-03-13_final.stac-item
2021-03-14 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-03-14_final.stac-item
2021-03-17 11:55:52	ga_s2am_ard_3-2-1_50JMN_2021-03-17_final.stac-item
2021-03-17 11:56:07	ga_s2am_ard_3-2-1_50JMM_2021-03-17_final.stac-item
2021-03-18 11:24:43	ga_s2am_ard_3-2-1_51JWM_2021-03-18_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-03-20_final.stac-item
2021-03-20 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-03-20_final.stac-item
2021-03-20 12:04:41	ga_s2am_ard_3-2-1_50JKT_2021-03-20_final.stac-item
2021-03-20 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-03-20_final.stac-item
2021-03-21 11:35:47	ga_s2am_ard_3-2-1_51JTH_2021-03-21_final.stac-item
2021-03-23 12:13:38	ga_s2am_ard_3-2-1_50KKB_2021-03-23_final.stac-item
2021-03-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-03-23_final.stac-item
2021-03-23 12:14:40	ga_s2am_ard_3-2-1_49JGN_2021-03-23_final.stac-item
2021-03-24 11:45:42	ga_s2am_ard_3-2-1_51JTH_2021-03-24_final.stac-item
2021-03-26 10:45:21	ga_s2am_ard_3-2-1_53JMH_2021-03-26_final.stac-item
2021-03-29 10:54:24	ga_s2am_ard_3-2-1_53JKM_2021-03-29_final.stac-item
2021-03-29 10:55:25	ga_s2am_ard_3-2-1_52JGN_2021-03-29_final.stac-item
2021-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2021-03-30_final.stac-item
2021-03-30 12:04:29	ga_s2am_ard_3-2-1_49KGP_2021-03-30_final.stac-item
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_50JKT_2021-03-30_final.stac-item
2021-04-01 11:05:17	ga_s2am_ard_3-2-1_52JDP_2021-04-01_final.stac-item
2021-04-01 11:05:28	ga_s2am_ard_3-2-1_52JEN_2021-04-01_final.stac-item
2021-04-04 11:14:31	ga_s2am_ard_3-2-1_52JCS_2021-04-04_final.stac-item
2021-04-04 11:15:09	ga_s2am_ard_3-2-1_52JDP_2021-04-04_final.stac-item
2021-04-04 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2021-04-04_final.stac-item
2021-04-05 10:42:06	ga_s2am_ard_3-2-1_53KNA_2021-04-05_final.stac-item
2021-04-07 11:25:02	ga_s2am_ard_3-2-1_51JYK_2021-04-07_final.stac-item
2021-04-07 11:25:16	ga_s2am_ard_3-2-1_51JYJ_2021-04-07_final.stac-item
2021-04-08 10:55:30	ga_s2am_ard_3-2-1_52JEN_2021-04-08_final.stac-item
2021-04-11 11:05:10	ga_s2am_ard_3-2-1_52JDP_2021-04-11_final.stac-item
2021-04-11 11:05:25	ga_s2am_ard_3-2-1_52JEN_2021-04-11_final.stac-item
2021-04-14 11:14:29	ga_s2am_ard_3-2-1_52JCS_2021-04-14_final.stac-item
2021-04-14 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2021-04-14_final.stac-item
2021-04-14 11:15:31	ga_s2am_ard_3-2-1_52JBN_2021-04-14_final.stac-item
2021-04-17 11:25:00	ga_s2am_ard_3-2-1_51JYK_2021-04-17_final.stac-item
2021-04-18 10:55:29	ga_s2am_ard_3-2-1_52JEN_2021-04-18_final.stac-item
2021-04-21 11:05:15	ga_s2am_ard_3-2-1_52JDP_2021-04-21_final.stac-item
2021-04-24 11:15:06	ga_s2am_ard_3-2-1_51JYK_2021-04-24_final.stac-item
2021-04-24 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2021-04-24_final.stac-item
2021-04-24 11:15:32	ga_s2am_ard_3-2-1_52JBN_2021-04-24_final.stac-item
2021-04-27 11:22:16	ga_s2am_ard_3-2-1_52KCF_2021-04-27_final.stac-item
2021-04-27 11:25:02	ga_s2am_ard_3-2-1_51JYK_2021-04-27_final.stac-item
2021-04-27 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2021-04-27_final.stac-item
2021-05-05 10:41:58	ga_s2am_ard_3-2-1_53KRA_2021-05-05_final.stac-item
2021-05-05 10:42:20	ga_s2am_ard_3-2-1_53KPV_2021-05-05_final.stac-item
2021-05-05 10:42:34	ga_s2am_ard_3-2-1_53KPU_2021-05-05_final.stac-item
2021-05-05 10:42:37	ga_s2am_ard_3-2-1_53KNU_2021-05-05_final.stac-item
2021-05-05 10:44:26	ga_s2am_ard_3-2-1_53JLM_2021-05-05_final.stac-item
2021-05-05 10:45:09	ga_s2am_ard_3-2-1_53JLJ_2021-05-05_final.stac-item
2021-05-07 11:23:38	ga_s2am_ard_3-2-1_51KYR_2021-05-07_final.stac-item
2021-05-08 10:54:40	ga_s2am_ard_3-2-1_53JKL_2021-05-08_final.stac-item
2021-05-12 10:32:04	ga_s2am_ard_3-2-1_53KRA_2021-05-12_final.stac-item
2021-05-15 10:41:52	ga_s2am_ard_3-2-1_53KPB_2021-05-15_final.stac-item
2021-05-15 10:42:07	ga_s2am_ard_3-2-1_53KPA_2021-05-15_final.stac-item
2021-05-15 10:42:39	ga_s2am_ard_3-2-1_53KNU_2021-05-15_final.stac-item
2021-05-15 10:44:48	ga_s2am_ard_3-2-1_53JKL_2021-05-15_final.stac-item
2021-05-17 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2021-05-17_final.stac-item
2021-05-18 10:52:05	ga_s2am_ard_3-2-1_53KNA_2021-05-18_final.stac-item
2021-05-18 10:52:34	ga_s2am_ard_3-2-1_53KNU_2021-05-18_final.stac-item
2021-05-18 10:54:41	ga_s2am_ard_3-2-1_53JKL_2021-05-18_final.stac-item
2021-05-18 10:55:17	ga_s2am_ard_3-2-1_52JFP_2021-05-18_final.stac-item
2021-05-21 11:05:13	ga_s2am_ard_3-2-1_52JFP_2021-05-21_final.stac-item
2021-05-22 10:32:05	ga_s2am_ard_3-2-1_53KRA_2021-05-22_final.stac-item
2021-05-25 10:42:11	ga_s2am_ard_3-2-1_53KNA_2021-05-25_final.stac-item
2021-05-25 10:42:22	ga_s2am_ard_3-2-1_53KPV_2021-05-25_final.stac-item
2021-05-25 10:42:36	ga_s2am_ard_3-2-1_53KPU_2021-05-25_final.stac-item
2021-05-28 10:52:06	ga_s2am_ard_3-2-1_53KNA_2021-05-28_final.stac-item
2021-05-28 10:54:24	ga_s2am_ard_3-2-1_53JLM_2021-05-28_final.stac-item
2021-05-28 10:55:06	ga_s2am_ard_3-2-1_53JLJ_2021-05-28_final.stac-item
2021-06-03 11:10:48	ga_s2am_ard_3-2-1_52LHL_2021-06-03_final.stac-item
2021-06-03 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2021-06-03_final.stac-item
2021-06-04 10:46:21	ga_s2am_ard_3-2-1_53HMD_2021-06-04_final.stac-item
2021-06-06 11:26:19	ga_s2am_ard_3-2-1_51JUF_2021-06-06_final.stac-item
2021-06-06 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-06-06_final.stac-item
2021-06-09 11:32:37	ga_s2am_ard_3-2-1_51KYV_2021-06-09_final.stac-item
2021-06-09 11:36:11	ga_s2am_ard_3-2-1_51JVF_2021-06-09_final.stac-item
2021-06-10 11:00:45	ga_s2am_ard_3-2-1_52LHM_2021-06-10_final.stac-item
2021-06-10 11:01:03	ga_s2am_ard_3-2-1_52LGL_2021-06-10_final.stac-item
2021-06-10 11:01:18	ga_s2am_ard_3-2-1_52LGK_2021-06-10_final.stac-item
2021-06-13 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2021-06-13_final.stac-item
2021-06-15 10:15:01	ga_s2am_ard_3-2-1_54JVP_2021-06-15_final.stac-item
2021-06-16 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-06-16_final.stac-item
2021-06-16 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-06-16_final.stac-item
2021-06-19 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-06-19_final.stac-item
2021-06-20 11:01:27	ga_s2am_ard_3-2-1_53LKD_2021-06-20_final.stac-item
2021-06-22 11:41:27	ga_s2am_ard_3-2-1_51LWE_2021-06-22_final.stac-item
2021-06-23 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2021-06-23_final.stac-item
2021-06-24 10:45:45	ga_s2am_ard_3-2-1_53JKG_2021-06-24_final.stac-item
2021-06-26 11:26:13	ga_s2am_ard_3-2-1_51JWF_2021-06-26_final.stac-item
2021-06-26 11:27:00	ga_s2am_ard_3-2-1_51HVC_2021-06-26_final.stac-item
2021-06-29 11:36:59	ga_s2am_ard_3-2-1_51HUC_2021-06-29_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years