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
2024-01-14 10:24:12	ga_s2am_ard_3-2-1_53JRM_2024-01-14_final
2024-01-14 10:25:28	ga_s2am_ard_3-2-1_53JQG_2024-01-14_final
2024-01-14 10:26:15	ga_s2am_ard_3-2-1_53HPD_2024-01-14_final
2024-01-14 10:26:44	ga_s2am_ard_3-2-1_53HPB_2024-01-14_final
2024-01-14 10:26:55	ga_s2am_ard_3-2-1_53HQA_2024-01-14_final
2024-01-14 10:27:06	ga_s2am_ard_3-2-1_53HQV_2024-01-14_final
2024-01-14 12:03:52	ga_s2am_ard_3-2-1_50KKA_2024-01-14_final
2024-01-14 12:04:04	ga_s2am_ard_3-2-1_50KLV_2024-01-14_final
2024-01-14 12:04:07	ga_s2am_ard_3-2-1_50KKV_2024-01-14_final
2024-01-14 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2024-01-14_final
2024-01-14 12:04:15	ga_s2am_ard_3-2-1_50KMU_2024-01-14_final
2024-01-14 12:04:18	ga_s2am_ard_3-2-1_50KLU_2024-01-14_final
2024-01-14 12:04:36	ga_s2am_ard_3-2-1_50JKT_2024-01-14_final
2024-01-14 12:04:47	ga_s2am_ard_3-2-1_50JLS_2024-01-14_final
2024-01-14 12:05:49	ga_s2am_ard_3-2-1_50JKN_2024-01-14_final
2024-01-14 12:05:52	ga_s2am_ard_3-2-1_49JGH_2024-01-14_final
2024-01-14 12:06:08	ga_s2am_ard_3-2-1_50JLL_2024-01-14_final
2024-01-15 11:31:17	ga_s2am_ard_3-2-1_51LYE_2024-01-15_final
2024-01-15 11:31:24	ga_s2am_ard_3-2-1_51LWE_2024-01-15_final
2024-01-15 11:32:15	ga_s2am_ard_3-2-1_51KYA_2024-01-15_final
2024-01-15 11:33:09	ga_s2am_ard_3-2-1_51KVT_2024-01-15_final
2024-01-15 11:33:16	ga_s2am_ard_3-2-1_51KXS_2024-01-15_final
2024-01-15 11:33:58	ga_s2am_ard_3-2-1_51KXP_2024-01-15_final
2024-01-15 11:34:07	ga_s2am_ard_3-2-1_51KVP_2024-01-15_final
2024-01-15 11:34:18	ga_s2am_ard_3-2-1_51JWN_2024-01-15_final
2024-01-15 11:34:22	ga_s2am_ard_3-2-1_51JVN_2024-01-15_final
2024-01-15 11:34:33	ga_s2am_ard_3-2-1_51JWM_2024-01-15_final
2024-01-15 11:34:57	ga_s2am_ard_3-2-1_51JTL_2024-01-15_final
2024-01-15 11:35:20	ga_s2am_ard_3-2-1_51JVJ_2024-01-15_final
2024-01-15 11:35:55	ga_s2am_ard_3-2-1_51JTG_2024-01-15_final
2024-01-15 11:36:07	ga_s2am_ard_3-2-1_51JUF_2024-01-15_final
2024-01-15 11:36:56	ga_s2am_ard_3-2-1_50HQH_2024-01-15_final
2024-01-16 11:00:23	ga_s2am_ard_3-2-1_52LHN_2024-01-16_final
2024-01-16 11:00:30	ga_s2am_ard_3-2-1_52LGN_2024-01-16_final
2024-01-16 11:02:27	ga_s2am_ard_3-2-1_53KKU_2024-01-16_final
2024-01-16 11:02:27	ga_s2am_ard_3-2-1_52KHD_2024-01-16_final
2024-01-16 11:02:29	ga_s2am_ard_3-2-1_52KGD_2024-01-16_final
2024-01-16 11:02:34	ga_s2am_ard_3-2-1_53KKU_2024-01-16_final
2024-01-16 11:02:37	ga_s2am_ard_3-2-1_52KGD_2024-01-16_final
2024-01-16 11:02:40	ga_s2am_ard_3-2-1_52KFD_2024-01-16_final
2024-01-16 11:02:51	ga_s2am_ard_3-2-1_52KGC_2024-01-16_final
2024-01-16 11:03:00	ga_s2am_ard_3-2-1_53KKS_2024-01-16_final
2024-01-16 11:03:27	ga_s2am_ard_3-2-1_52KEA_2024-01-16_final
2024-01-16 11:03:34	ga_s2am_ard_3-2-1_52KGV_2024-01-16_final
2024-01-16 11:03:41	ga_s2am_ard_3-2-1_52KEV_2024-01-16_final
2024-01-16 11:03:52	ga_s2am_ard_3-2-1_52KFU_2024-01-16_final
2024-01-16 11:04:28	ga_s2am_ard_3-2-1_52JDS_2024-01-16_final
2024-01-16 11:04:39	ga_s2am_ard_3-2-1_52JER_2024-01-16_final
2024-01-16 11:04:50	ga_s2am_ard_3-2-1_52JFQ_2024-01-16_final
2024-01-16 11:05:31	ga_s2am_ard_3-2-1_52JFM_2024-01-16_final
2024-01-16 11:05:39	ga_s2am_ard_3-2-1_52JFM_2024-01-16_final
2024-01-16 11:05:39	ga_s2am_ard_3-2-1_52JCM_2024-01-16_final
2024-01-16 11:05:44	ga_s2am_ard_3-2-1_52JDM_2024-01-16_final
2024-01-16 11:05:46	ga_s2am_ard_3-2-1_52JCM_2024-01-16_final
2024-01-16 11:05:56	ga_s2am_ard_3-2-1_52JDL_2024-01-16_final
2024-01-16 11:05:59	ga_s2am_ard_3-2-1_52JCL_2024-01-16_final
2024-01-16 11:06:10	ga_s2am_ard_3-2-1_52HDK_2024-01-16_final
2024-01-17 10:31:56	ga_s2am_ard_3-2-1_53KRA_2024-01-17_final
2024-01-17 10:32:03	ga_s2am_ard_3-2-1_53KQA_2024-01-17_final
2024-01-17 10:32:40	ga_s2am_ard_3-2-1_53KRT_2024-01-17_final
2024-01-17 10:32:58	ga_s2am_ard_3-2-1_53KQS_2024-01-17_final
2024-01-17 10:33:55	ga_s2am_ard_3-2-1_53JQN_2024-01-17_final
2024-01-17 10:34:06	ga_s2am_ard_3-2-1_53JRM_2024-01-17_final
2024-01-17 10:34:13	ga_s2am_ard_3-2-1_53JPM_2024-01-17_final
2024-01-17 10:34:38	ga_s2am_ard_3-2-1_53JNK_2024-01-17_final
2024-01-17 10:34:46	ga_s2am_ard_3-2-1_53JNK_2024-01-17_final
2024-01-17 10:35:22	ga_s2am_ard_3-2-1_53JQG_2024-01-17_final
2024-01-17 10:36:02	ga_s2am_ard_3-2-1_53HME_2024-01-17_final
2024-01-17 10:36:09	ga_s2am_ard_3-2-1_53HPD_2024-01-17_final
2024-01-17 10:36:31	ga_s2am_ard_3-2-1_53HMC_2024-01-17_final
2024-01-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2024-01-17_final
2024-01-17 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2024-01-17_final
2024-01-17 12:14:19	ga_s2am_ard_3-2-1_49KGP_2024-01-17_final
2024-01-17 12:14:48	ga_s2am_ard_3-2-1_49JGM_2024-01-17_final
2024-01-18 11:40:48	ga_s2am_ard_3-2-1_51LWG_2024-01-18_final
2024-01-18 11:40:52	ga_s2am_ard_3-2-1_51LVG_2024-01-18_final
2024-01-18 11:41:06	ga_s2am_ard_3-2-1_51LVF_2024-01-18_final
2024-01-18 11:41:17	ga_s2am_ard_3-2-1_51LWE_2024-01-18_final
2024-01-18 11:41:21	ga_s2am_ard_3-2-1_51LVE_2024-01-18_final
2024-01-18 11:42:04	ga_s2am_ard_3-2-1_51KVB_2024-01-18_final
2024-01-18 11:42:08	ga_s2am_ard_3-2-1_51KUB_2024-01-18_final
2024-01-18 11:42:13	ga_s2am_ard_3-2-1_51KWA_2024-01-18_final
2024-01-18 11:43:02	ga_s2am_ard_3-2-1_51KVT_2024-01-18_final
2024-01-18 11:43:27	ga_s2am_ard_3-2-1_50KQB_2024-01-18_final
2024-01-18 11:43:35	ga_s2am_ard_3-2-1_51KUR_2024-01-18_final
2024-01-18 11:43:38	ga_s2am_ard_3-2-1_50KRA_2024-01-18_final
2024-01-18 11:43:53	ga_s2am_ard_3-2-1_50KRV_2024-01-18_final
2024-01-18 11:43:57	ga_s2am_ard_3-2-1_50KQV_2024-01-18_final
2024-01-18 11:44:29	ga_s2am_ard_3-2-1_50JPT_2024-01-18_final
2024-01-18 11:44:56	ga_s2am_ard_3-2-1_51JTL_2024-01-18_final
2024-01-18 11:45:30	ga_s2am_ard_3-2-1_50JNP_2024-01-18_final
2024-01-18 11:45:48	ga_s2am_ard_3-2-1_51JTG_2024-01-18_final
2024-01-18 11:46:04	ga_s2am_ard_3-2-1_50JMM_2024-01-18_final
2024-01-18 11:46:10	ga_s2am_ard_3-2-1_50JPL_2024-01-18_final
2024-01-18 11:46:32	ga_s2am_ard_3-2-1_50HMK_2024-01-18_final
2024-01-18 11:47:12	ga_s2am_ard_3-2-1_50HNG_2024-01-18_final
2024-01-28 11:42:14	ga_s2am_ard_3-2-1_51KTB_2024-01-28_nrt.stac-item
2024-01-28 11:42:29	ga_s2am_ard_3-2-1_51KTA_2024-01-28_nrt.stac-item
2024-01-29 11:10:52	ga_s2am_ard_3-2-1_52LDM_2024-01-29_nrt
2024-01-29 11:11:03	ga_s2am_ard_3-2-1_52LDL_2024-01-29_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