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
2020-05-23 10:50:29	ga_s2am_ard_3-2-1_53LNH_2020-05-23_final
2020-05-23 10:50:33	ga_s2am_ard_3-2-1_53LMH_2020-05-23_final
2020-05-23 10:50:44	ga_s2am_ard_3-2-1_53LNG_2020-05-23_final.stac-item
2020-05-23 10:50:47	ga_s2am_ard_3-2-1_53LMG_2020-05-23_final.stac-item
2020-05-23 10:50:53	ga_s2am_ard_3-2-1_53LLG_2020-05-23_final.stac-item
2020-05-23 10:50:59	ga_s2am_ard_3-2-1_53LNF_2020-05-23_final.stac-item
2020-05-23 10:51:02	ga_s2am_ard_3-2-1_53LMF_2020-05-23_final.stac-item
2020-05-23 10:51:05	ga_s2am_ard_3-2-1_53LLF_2020-05-23_final.stac-item
2020-05-23 10:51:13	ga_s2am_ard_3-2-1_53LNE_2020-05-23_final.stac-item
2020-05-23 10:51:16	ga_s2am_ard_3-2-1_53LME_2020-05-23_final.stac-item
2020-05-23 10:51:19	ga_s2am_ard_3-2-1_53LLE_2020-05-23_final.stac-item
2020-05-23 10:51:24	ga_s2am_ard_3-2-1_53LPD_2020-05-23_final
2020-05-23 10:51:28	ga_s2am_ard_3-2-1_53LND_2020-05-23_final.stac-item
2020-05-23 10:51:31	ga_s2am_ard_3-2-1_53LMD_2020-05-23_final.stac-item
2020-05-23 10:51:34	ga_s2am_ard_3-2-1_53LLD_2020-05-23_final.stac-item
2020-05-23 10:51:37	ga_s2am_ard_3-2-1_53LPC_2020-05-23_final
2020-05-23 10:51:42	ga_s2am_ard_3-2-1_53LNC_2020-05-23_final.stac-item
2020-05-23 10:51:45	ga_s2am_ard_3-2-1_53LMC_2020-05-23_final.stac-item
2020-05-23 10:51:47	ga_s2am_ard_3-2-1_53KPB_2020-05-23_final.stac-item
2020-05-23 10:51:49	ga_s2am_ard_3-2-1_53LLC_2020-05-23_final.stac-item
2020-05-23 10:51:56	ga_s2am_ard_3-2-1_53KNB_2020-05-23_final.stac-item
2020-05-23 10:52:00	ga_s2am_ard_3-2-1_53KMB_2020-05-23_final.stac-item
2020-05-23 10:52:03	ga_s2am_ard_3-2-1_53KLB_2020-05-23_final.stac-item
2020-05-23 10:52:07	ga_s2am_ard_3-2-1_53KKB_2020-05-23_final.stac-item
2020-05-23 10:52:11	ga_s2am_ard_3-2-1_53KNA_2020-05-23_final.stac-item
2020-05-23 10:52:14	ga_s2am_ard_3-2-1_53KMA_2020-05-23_final.stac-item
2020-05-23 10:52:18	ga_s2am_ard_3-2-1_53KLA_2020-05-23_final.stac-item
2020-05-23 10:52:21	ga_s2am_ard_3-2-1_53KKA_2020-05-23_final.stac-item
2020-05-23 10:52:25	ga_s2am_ard_3-2-1_52KHF_2020-05-23_final.stac-item
2020-05-23 10:52:26	ga_s2am_ard_3-2-1_53KNV_2020-05-23_final.stac-item
2020-05-23 10:52:29	ga_s2am_ard_3-2-1_53KMV_2020-05-23_final.stac-item
2020-05-23 10:52:32	ga_s2am_ard_3-2-1_53KLV_2020-05-23_final.stac-item
2020-05-23 10:52:35	ga_s2am_ard_3-2-1_53KKV_2020-05-23_final.stac-item
2020-05-23 10:52:36	ga_s2am_ard_3-2-1_52KHE_2020-05-23_final.stac-item
2020-05-23 10:52:39	ga_s2am_ard_3-2-1_53KNU_2020-05-23_final.stac-item
2020-05-23 10:52:43	ga_s2am_ard_3-2-1_53KMU_2020-05-23_final.stac-item
2020-05-23 10:52:47	ga_s2am_ard_3-2-1_53KLU_2020-05-23_final.stac-item
2020-05-23 10:52:50	ga_s2am_ard_3-2-1_53KKU_2020-05-23_final.stac-item
2020-05-23 10:52:50	ga_s2am_ard_3-2-1_52KHD_2020-05-23_final.stac-item
2020-05-23 10:52:51	ga_s2am_ard_3-2-1_53KNT_2020-05-23_final.stac-item
2020-05-23 10:52:58	ga_s2am_ard_3-2-1_53KMT_2020-05-23_final.stac-item
2020-05-23 10:53:01	ga_s2am_ard_3-2-1_53KLT_2020-05-23_final.stac-item
2020-05-23 10:53:05	ga_s2am_ard_3-2-1_53KKT_2020-05-23_final.stac-item
2020-05-23 10:53:05	ga_s2am_ard_3-2-1_52KHC_2020-05-23_final.stac-item
2020-05-23 10:53:12	ga_s2am_ard_3-2-1_53KMS_2020-05-23_final.stac-item
2020-05-23 10:53:16	ga_s2am_ard_3-2-1_53KLS_2020-05-23_final.stac-item
2020-05-23 10:53:19	ga_s2am_ard_3-2-1_53KKS_2020-05-23_final.stac-item
2020-05-23 10:53:20	ga_s2am_ard_3-2-1_52KHB_2020-05-23_final.stac-item
2020-05-23 10:53:26	ga_s2am_ard_3-2-1_52KGB_2020-05-23_final.stac-item
2020-05-23 10:53:27	ga_s2am_ard_3-2-1_53KMR_2020-05-23_final.stac-item
2020-05-23 10:53:31	ga_s2am_ard_3-2-1_53KLR_2020-05-23_final.stac-item
2020-05-23 10:53:34	ga_s2am_ard_3-2-1_53KKR_2020-05-23_final.stac-item
2020-05-23 10:53:34	ga_s2am_ard_3-2-1_52KHA_2020-05-23_final.stac-item
2020-05-23 10:53:38	ga_s2am_ard_3-2-1_52KGA_2020-05-23_final.stac-item
2020-05-23 10:53:42	ga_s2am_ard_3-2-1_53KMQ_2020-05-23_final.stac-item
2020-05-23 10:53:45	ga_s2am_ard_3-2-1_53KLQ_2020-05-23_final.stac-item
2020-05-23 10:53:48	ga_s2am_ard_3-2-1_53KKQ_2020-05-23_final.stac-item
2020-05-23 10:53:48	ga_s2am_ard_3-2-1_52KHV_2020-05-23_final.stac-item
2020-05-23 10:53:52	ga_s2am_ard_3-2-1_52KGV_2020-05-23_final.stac-item
2020-05-23 10:53:55	ga_s2am_ard_3-2-1_53KMP_2020-05-23_final.stac-item
2020-05-23 10:54:00	ga_s2am_ard_3-2-1_53KLP_2020-05-23_final.stac-item
2020-05-23 10:54:03	ga_s2am_ard_3-2-1_53KKP_2020-05-23_final.stac-item
2020-05-23 10:54:03	ga_s2am_ard_3-2-1_52KHU_2020-05-23_final.stac-item
2020-05-23 10:54:05	ga_s2am_ard_3-2-1_53JMN_2020-05-23_final.stac-item
2020-05-23 10:54:07	ga_s2am_ard_3-2-1_52KGU_2020-05-23_final.stac-item
2020-05-23 10:54:14	ga_s2am_ard_3-2-1_53JLN_2020-05-23_final.stac-item
2020-05-23 10:54:17	ga_s2am_ard_3-2-1_52JHT_2020-05-23_final.stac-item
2020-05-23 10:54:18	ga_s2am_ard_3-2-1_53JKN_2020-05-23_final.stac-item
2020-05-23 10:54:21	ga_s2am_ard_3-2-1_52JGT_2020-05-23_final.stac-item
2020-05-23 10:54:27	ga_s2am_ard_3-2-1_52JFT_2020-05-23_final.stac-item
2020-05-23 10:54:29	ga_s2am_ard_3-2-1_53JLM_2020-05-23_final.stac-item
2020-05-23 10:54:32	ga_s2am_ard_3-2-1_52JHS_2020-05-23_final.stac-item
2020-05-23 10:54:32	ga_s2am_ard_3-2-1_53JKM_2020-05-23_final.stac-item
2020-05-23 10:54:35	ga_s2am_ard_3-2-1_52JGS_2020-05-23_final.stac-item
2020-05-23 10:54:39	ga_s2am_ard_3-2-1_52JFS_2020-05-23_final.stac-item
2020-05-23 10:54:43	ga_s2am_ard_3-2-1_53JLL_2020-05-23_final.stac-item
2020-05-23 10:54:47	ga_s2am_ard_3-2-1_53JKL_2020-05-23_final.stac-item
2020-05-23 10:54:50	ga_s2am_ard_3-2-1_52JGR_2020-05-23_final.stac-item
2020-05-23 10:54:53	ga_s2am_ard_3-2-1_52JFR_2020-05-23_final.stac-item
2020-05-23 10:54:57	ga_s2am_ard_3-2-1_53JLK_2020-05-23_final.stac-item
2020-05-23 10:55:01	ga_s2am_ard_3-2-1_53JKK_2020-05-23_final.stac-item
2020-05-23 10:55:04	ga_s2am_ard_3-2-1_52JGQ_2020-05-23_final.stac-item
2020-05-23 10:55:08	ga_s2am_ard_3-2-1_52JFQ_2020-05-23_final.stac-item
2020-05-23 10:55:11	ga_s2am_ard_3-2-1_53JLJ_2020-05-23_final.stac-item
2020-05-23 10:55:16	ga_s2am_ard_3-2-1_53JKJ_2020-05-23_final.stac-item
2020-05-23 10:55:19	ga_s2am_ard_3-2-1_52JGP_2020-05-23_final.stac-item
2020-05-23 10:55:21	ga_s2am_ard_3-2-1_53JLH_2020-05-23_final.stac-item
2020-05-23 10:55:22	ga_s2am_ard_3-2-1_52JFP_2020-05-23_final.stac-item
2020-05-23 10:55:28	ga_s2am_ard_3-2-1_52JEP_2020-05-23_final.stac-item
2020-05-23 10:55:30	ga_s2am_ard_3-2-1_53JKH_2020-05-23_final.stac-item
2020-05-23 10:55:33	ga_s2am_ard_3-2-1_52JGN_2020-05-23_final.stac-item
2020-05-23 10:55:37	ga_s2am_ard_3-2-1_52JFN_2020-05-23_final.stac-item
2020-05-23 10:55:40	ga_s2am_ard_3-2-1_52JEN_2020-05-23_final.stac-item
2020-05-23 10:55:45	ga_s2am_ard_3-2-1_53JKG_2020-05-23_final.stac-item
2020-05-23 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-05-23_final.stac-item
2020-05-23 10:55:51	ga_s2am_ard_3-2-1_52JFM_2020-05-23_final.stac-item
2020-05-23 10:55:55	ga_s2am_ard_3-2-1_52JEM_2020-05-23_final.stac-item
2020-05-23 10:56:00	ga_s2am_ard_3-2-1_53JKF_2020-05-23_final.stac-item
2020-05-23 10:56:02	ga_s2am_ard_3-2-1_52JGL_2020-05-23_final.stac-item
2020-05-23 10:56:06	ga_s2am_ard_3-2-1_52JFL_2020-05-23_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