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
2024-02-23 12:03:21	ga_s2am_ard_3-2-1_50KMC_2024-02-23_final
2024-02-23 12:03:31	ga_s2am_ard_3-2-1_50KNB_2024-02-23_final
2024-02-23 12:03:42	ga_s2am_ard_3-2-1_50KNA_2024-02-23_final
2024-02-23 12:03:50	ga_s2am_ard_3-2-1_50KMA_2024-02-23_final
2024-02-23 12:03:57	ga_s2am_ard_3-2-1_50KKA_2024-02-23_final
2024-02-23 12:03:57	ga_s2am_ard_3-2-1_49KHR_2024-02-23_final
2024-02-23 12:04:11	ga_s2am_ard_3-2-1_50KKV_2024-02-23_final
2024-02-23 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2024-02-23_final
2024-02-23 12:04:29	ga_s2am_ard_3-2-1_49KGP_2024-02-23_final
2024-02-23 12:04:33	ga_s2am_ard_3-2-1_50JMT_2024-02-23_final
2024-02-23 12:04:40	ga_s2am_ard_3-2-1_49JGN_2024-02-23_final
2024-02-23 12:04:41	ga_s2am_ard_3-2-1_50JMT_2024-02-23_final
2024-02-23 12:04:45	ga_s2am_ard_3-2-1_50JKT_2024-02-23_final
2024-02-23 12:04:52	ga_s2am_ard_3-2-1_50JLS_2024-02-23_final
2024-02-23 12:04:55	ga_s2am_ard_3-2-1_49JHM_2024-02-23_final
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_final
2024-02-23 12:05:35	ga_s2am_ard_3-2-1_50JLP_2024-02-23_final
2024-02-23 12:05:56	ga_s2am_ard_3-2-1_49JGH_2024-02-23_final
2024-02-23 12:06:12	ga_s2am_ard_3-2-1_50JLL_2024-02-23_final
2024-02-24 11:31:29	ga_s2am_ard_3-2-1_51LWE_2024-02-24_final
2024-02-24 11:31:37	ga_s2am_ard_3-2-1_51LYD_2024-02-24_final
2024-02-24 11:32:10	ga_s2am_ard_3-2-1_51KXB_2024-02-24_final
2024-02-24 11:32:45	ga_s2am_ard_3-2-1_51KVV_2024-02-24_final
2024-02-24 11:32:53	ga_s2am_ard_3-2-1_51KXU_2024-02-24_final
2024-02-24 11:33:43	ga_s2am_ard_3-2-1_51KVR_2024-02-24_final
2024-02-24 11:34:09	ga_s2am_ard_3-2-1_51KWP_2024-02-24_final
2024-02-24 11:34:59	ga_s2am_ard_3-2-1_51JUL_2024-02-24_final
2024-02-24 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2024-02-24_final
2024-02-24 11:35:35	ga_s2am_ard_3-2-1_50JQP_2024-02-24_final
2024-02-24 11:36:22	ga_s2am_ard_3-2-1_51HVE_2024-02-24_final
2024-02-24 11:36:36	ga_s2am_ard_3-2-1_50HPK_2024-02-24_final
2024-02-24 11:36:41	ga_s2am_ard_3-2-1_51HUD_2024-02-24_final
2024-02-24 11:37:05	ga_s2am_ard_3-2-1_50HPH_2024-02-24_final
2024-02-24 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-02-24_final
2024-02-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2024-02-24_final
2024-02-24 11:37:24	ga_s2am_ard_3-2-1_50HPG_2024-02-24_final
2024-02-25 11:03:00	ga_s2am_ard_3-2-1_52KFC_2024-02-25_final
2024-02-25 11:04:05	ga_s2am_ard_3-2-1_52KDU_2024-02-25_final
2024-02-25 11:04:31	ga_s2am_ard_3-2-1_52JES_2024-02-25_final
2024-02-25 11:04:34	ga_s2am_ard_3-2-1_52JGR_2024-02-25_final
2024-02-25 11:04:34	ga_s2am_ard_3-2-1_52JDS_2024-02-25_final
2024-02-25 11:04:42	ga_s2am_ard_3-2-1_52JFR_2024-02-25_final
2024-02-25 11:04:46	ga_s2am_ard_3-2-1_52JER_2024-02-25_final
2024-02-25 11:05:18	ga_s2am_ard_3-2-1_52JDP_2024-02-25_final
2024-02-25 11:06:35	ga_s2am_ard_3-2-1_51HYD_2024-02-25_final
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_50KKA_2024-02-26_final
2024-02-26 12:13:57	ga_s2am_ard_3-2-1_49KGR_2024-02-26_final
2024-02-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2024-02-26_final
2024-02-26 12:14:26	ga_s2am_ard_3-2-1_49KGP_2024-02-26_final
2024-02-27 11:40:56	ga_s2am_ard_3-2-1_51LWG_2024-02-27_final
2024-02-27 11:41:00	ga_s2am_ard_3-2-1_51LVG_2024-02-27_final
2024-02-27 11:41:14	ga_s2am_ard_3-2-1_51LVF_2024-02-27_final
2024-02-27 11:41:25	ga_s2am_ard_3-2-1_51LWE_2024-02-27_final
2024-02-27 11:41:29	ga_s2am_ard_3-2-1_51LVE_2024-02-27_final
2024-02-27 11:42:16	ga_s2am_ard_3-2-1_51KUB_2024-02-27_final
2024-02-27 11:42:30	ga_s2am_ard_3-2-1_51KUA_2024-02-27_final
2024-02-27 11:42:41	ga_s2am_ard_3-2-1_51KVV_2024-02-27_final
2024-02-27 11:43:14	ga_s2am_ard_3-2-1_51KUT_2024-02-27_final
2024-02-27 11:43:35	ga_s2am_ard_3-2-1_51KVR_2024-02-27_final
2024-02-27 11:43:47	ga_s2am_ard_3-2-1_50KRA_2024-02-27_final
2024-02-27 11:44:01	ga_s2am_ard_3-2-1_50KRV_2024-02-27_final
2024-02-27 11:44:15	ga_s2am_ard_3-2-1_51KTP_2024-02-27_final
2024-02-27 11:44:37	ga_s2am_ard_3-2-1_50JPT_2024-02-27_final
2024-02-27 11:44:48	ga_s2am_ard_3-2-1_51JTL_2024-02-27_final
2024-02-27 11:45:11	ga_s2am_ard_3-2-1_50JNR_2024-02-27_final
2024-02-27 11:45:35	ga_s2am_ard_3-2-1_50JPP_2024-02-27_final
2024-02-27 11:46:37	ga_s2am_ard_3-2-1_50HNK_2024-02-27_final
2024-02-27 11:47:01	ga_s2am_ard_3-2-1_50HPH_2024-02-27_final
2024-02-27 11:47:16	ga_s2am_ard_3-2-1_50HPG_2024-02-27_final
2024-02-27 11:47:23	ga_s2am_ard_3-2-1_50HMG_2024-02-27_final
2024-02-28 11:11:58	ga_s2am_ard_3-2-1_52KFG_2024-02-28_final
2024-02-28 11:12:05	ga_s2am_ard_3-2-1_52KDG_2024-02-28_final
2024-02-28 11:12:10	ga_s2am_ard_3-2-1_52KCG_2024-02-28_final
2024-02-28 11:12:23	ga_s2am_ard_3-2-1_52KCF_2024-02-28_final
2024-02-28 11:12:46	ga_s2am_ard_3-2-1_52KED_2024-02-28_final
2024-02-28 11:12:53	ga_s2am_ard_3-2-1_52KFC_2024-02-28_final
2024-02-28 11:13:36	ga_s2am_ard_3-2-1_52KCA_2024-02-28_final
2024-02-28 11:13:39	ga_s2am_ard_3-2-1_52KBA_2024-02-28_final
2024-02-28 11:13:44	ga_s2am_ard_3-2-1_52KEV_2024-02-28_final
2024-02-28 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2024-02-28_final
2024-02-28 11:14:02	ga_s2am_ard_3-2-1_52KDU_2024-02-28_final
2024-02-28 11:14:08	ga_s2am_ard_3-2-1_52KBU_2024-02-28_final
2024-02-28 11:14:20	ga_s2am_ard_3-2-1_52JCT_2024-02-28_final
2024-02-28 11:14:23	ga_s2am_ard_3-2-1_51JZN_2024-02-28_final
2024-02-28 11:14:23	ga_s2am_ard_3-2-1_52JBT_2024-02-28_final
2024-02-28 11:14:31	ga_s2am_ard_3-2-1_52JDS_2024-02-28_final
2024-02-28 11:14:34	ga_s2am_ard_3-2-1_52JCS_2024-02-28_final
2024-02-28 11:14:37	ga_s2am_ard_3-2-1_52JBS_2024-02-28_final
2024-02-28 11:15:09	ga_s2am_ard_3-2-1_52JDP_2024-02-28_final
2024-02-28 11:15:12	ga_s2am_ard_3-2-1_52JDP_2024-02-28_final
2024-02-28 11:15:36	ga_s2am_ard_3-2-1_52JBN_2024-02-28_final
2024-02-28 11:15:38	ga_s2am_ard_3-2-1_51JYH_2024-02-28_final
2024-02-28 11:15:50	ga_s2am_ard_3-2-1_52JBM_2024-02-28_final
2024-02-28 11:15:53	ga_s2am_ard_3-2-1_51JYG_2024-02-28_final
2024-02-28 11:16:22	ga_s2am_ard_3-2-1_51HYE_2024-02-28_final
2024-02-28 11:16:30	ga_s2am_ard_3-2-1_51HWE_2024-02-28_final
2024-02-28 11:16:36	ga_s2am_ard_3-2-1_51HYD_2024-02-28_final
2024-03-08 11:42:05	ga_s2am_ard_3-2-1_51LTC_2024-03-08_nrt
2024-03-08 11:42:35	ga_s2am_ard_3-2-1_51KTA_2024-03-08_nrt
2024-03-08 11:47:29	ga_s2am_ard_3-2-1_50HPF_2024-03-08_nrt

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