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
2023-06-03 09:34:05	ga_s2am_ard_3-2-1_56JKS_2023-06-03_final
2023-06-03 09:34:08	ga_s2am_ard_3-2-1_56JNR_2023-06-03_final
2023-06-03 09:34:12	ga_s2am_ard_3-2-1_56JMR_2023-06-03_final
2023-06-03 09:34:18	ga_s2am_ard_3-2-1_56JKR_2023-06-03_final
2023-06-03 09:34:23	ga_s2am_ard_3-2-1_56JNQ_2023-06-03_final
2023-06-03 09:34:27	ga_s2am_ard_3-2-1_56JMQ_2023-06-03_final
2023-06-03 09:34:33	ga_s2am_ard_3-2-1_56JKQ_2023-06-03_final
2023-06-03 09:34:36	ga_s2am_ard_3-2-1_56JNP_2023-06-03_final
2023-06-03 09:34:41	ga_s2am_ard_3-2-1_56JMP_2023-06-03_final
2023-06-03 09:34:47	ga_s2am_ard_3-2-1_56JNN_2023-06-03_final
2023-06-03 09:34:48	ga_s2am_ard_3-2-1_56JKP_2023-06-03_final
2023-06-03 09:34:54	ga_s2am_ard_3-2-1_55JGJ_2023-06-03_final
2023-06-03 09:34:55	ga_s2am_ard_3-2-1_56JMN_2023-06-03_final
2023-06-03 09:35:02	ga_s2am_ard_3-2-1_56JKN_2023-06-03_final
2023-06-03 09:35:10	ga_s2am_ard_3-2-1_56JMM_2023-06-03_final
2023-06-03 09:35:13	ga_s2am_ard_3-2-1_56JLM_2023-06-03_final
2023-06-03 09:35:17	ga_s2am_ard_3-2-1_56JKM_2023-06-03_final
2023-06-03 09:35:25	ga_s2am_ard_3-2-1_56JML_2023-06-03_final
2023-06-03 09:35:28	ga_s2am_ard_3-2-1_56JLL_2023-06-03_final
2023-06-03 09:35:31	ga_s2am_ard_3-2-1_56JKL_2023-06-03_final
2023-06-03 09:35:34	ga_s2am_ard_3-2-1_55JGF_2023-06-03_final
2023-06-03 09:35:39	ga_s2am_ard_3-2-1_56HMK_2023-06-03_final
2023-06-03 09:35:43	ga_s2am_ard_3-2-1_56HLK_2023-06-03_final
2023-06-03 09:35:46	ga_s2am_ard_3-2-1_56HKK_2023-06-03_final
2023-06-03 09:35:48	ga_s2am_ard_3-2-1_55HGE_2023-06-03_final
2023-06-03 09:35:52	ga_s2am_ard_3-2-1_56HMJ_2023-06-03_final
2023-06-03 09:35:54	ga_s2am_ard_3-2-1_55HFE_2023-06-03_final
2023-06-03 09:35:57	ga_s2am_ard_3-2-1_56HLJ_2023-06-03_final
2023-06-03 09:36:00	ga_s2am_ard_3-2-1_56HKJ_2023-06-03_final
2023-06-03 09:36:02	ga_s2am_ard_3-2-1_56HMH_2023-06-03_nrt
2023-06-03 09:36:02	ga_s2am_ard_3-2-1_55HGD_2023-06-03_final
2023-06-03 09:36:06	ga_s2am_ard_3-2-1_55HFD_2023-06-03_final
2023-06-03 09:36:11	ga_s2am_ard_3-2-1_56HLH_2023-06-03_final
2023-06-03 09:36:15	ga_s2am_ard_3-2-1_56HKH_2023-06-03_final
2023-06-03 09:36:17	ga_s2am_ard_3-2-1_55HGC_2023-06-03_final
2023-06-03 09:36:21	ga_s2am_ard_3-2-1_55HFC_2023-06-03_final
2023-06-03 09:36:26	ga_s2am_ard_3-2-1_56HLG_2023-06-03_final
2023-06-03 09:36:30	ga_s2am_ard_3-2-1_56HKG_2023-06-03_final
2023-06-03 09:36:31	ga_s2am_ard_3-2-1_55HGB_2023-06-03_final
2023-06-03 09:36:35	ga_s2am_ard_3-2-1_55HFB_2023-06-03_final
2023-06-03 09:36:41	ga_s2am_ard_3-2-1_56HLF_2023-06-03_nrt
2023-06-03 09:36:44	ga_s2am_ard_3-2-1_56HKF_2023-06-03_final
2023-06-03 09:36:46	ga_s2am_ard_3-2-1_55HGA_2023-06-03_final
2023-06-03 09:36:50	ga_s2am_ard_3-2-1_55HFA_2023-06-03_final
2023-06-03 09:36:54	ga_s2am_ard_3-2-1_55HEA_2023-06-03_final
2023-06-03 09:36:55	ga_s2am_ard_3-2-1_56HLE_2023-06-03_nrt
2023-06-03 09:36:59	ga_s2am_ard_3-2-1_56HKE_2023-06-03_final
2023-06-03 09:37:00	ga_s2am_ard_3-2-1_55HGV_2023-06-03_final
2023-06-03 09:37:04	ga_s2am_ard_3-2-1_55HFV_2023-06-03_final
2023-06-03 09:37:07	ga_s2am_ard_3-2-1_56HLD_2023-06-03_nrt
2023-06-03 09:37:07	ga_s2am_ard_3-2-1_55HEV_2023-06-03_final
2023-06-03 11:14:53	ga_s2am_ard_3-2-1_52JCR_2023-06-03_final
2023-06-03 11:14:56	ga_s2am_ard_3-2-1_52JBR_2023-06-03_final
2023-06-03 11:14:59	ga_s2am_ard_3-2-1_51JYL_2023-06-03_final
2023-06-03 11:15:04	ga_s2am_ard_3-2-1_52JDQ_2023-06-03_final
2023-06-03 11:15:08	ga_s2am_ard_3-2-1_52JCQ_2023-06-03_final
2023-06-03 11:15:11	ga_s2am_ard_3-2-1_52JBQ_2023-06-03_final
2023-06-03 11:15:14	ga_s2am_ard_3-2-1_51JYK_2023-06-03_final
2023-06-03 11:15:16	ga_s2am_ard_3-2-1_52JDP_2023-06-03_final
2023-06-03 11:15:22	ga_s2am_ard_3-2-1_52JCP_2023-06-03_final
2023-06-03 11:15:26	ga_s2am_ard_3-2-1_52JBP_2023-06-03_final
2023-06-03 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2023-06-03_final
2023-06-03 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2023-06-03_final
2023-06-03 11:15:37	ga_s2am_ard_3-2-1_52JCN_2023-06-03_final
2023-06-03 11:15:40	ga_s2am_ard_3-2-1_52JBN_2023-06-03_final
2023-06-03 11:15:43	ga_s2am_ard_3-2-1_51JYH_2023-06-03_final
2023-06-03 11:15:46	ga_s2am_ard_3-2-1_51JXH_2023-06-03_final
2023-06-03 11:15:51	ga_s2am_ard_3-2-1_52JCM_2023-06-03_final
2023-06-03 11:15:55	ga_s2am_ard_3-2-1_52JBM_2023-06-03_final
2023-06-03 11:15:57	ga_s2am_ard_3-2-1_51JYG_2023-06-03_final
2023-06-03 11:16:01	ga_s2am_ard_3-2-1_51JXG_2023-06-03_final
2023-06-03 11:16:05	ga_s2am_ard_3-2-1_52JCL_2023-06-03_final
2023-06-03 11:16:07	ga_s2am_ard_3-2-1_52JBL_2023-06-03_final
2023-06-03 11:16:08	ga_s2am_ard_3-2-1_51JYF_2023-06-03_final
2023-06-03 11:16:10	ga_s2am_ard_3-2-1_51JXF_2023-06-03_final
2023-06-03 11:16:12	ga_s2am_ard_3-2-1_52HCK_2023-06-03_final
2023-06-03 11:16:12	ga_s2am_ard_3-2-1_52JCL_2023-06-03_final
2023-06-03 11:16:14	ga_s2am_ard_3-2-1_52JBL_2023-06-03_final
2023-06-03 11:16:15	ga_s2am_ard_3-2-1_51JYF_2023-06-03_final
2023-06-03 11:16:17	ga_s2am_ard_3-2-1_51JXF_2023-06-03_final
2023-06-03 11:16:20	ga_s2am_ard_3-2-1_52HCK_2023-06-03_final
2023-06-03 11:16:23	ga_s2am_ard_3-2-1_51JWF_2023-06-03_final
2023-06-03 11:16:24	ga_s2am_ard_3-2-1_52HBK_2023-06-03_final
2023-06-03 11:16:26	ga_s2am_ard_3-2-1_51HYE_2023-06-03_final
2023-06-03 11:16:30	ga_s2am_ard_3-2-1_51HXE_2023-06-03_final
2023-06-03 11:16:31	ga_s2am_ard_3-2-1_52HCJ_2023-06-03_nrt
2023-06-03 11:16:34	ga_s2am_ard_3-2-1_51HWE_2023-06-03_final
2023-06-03 11:16:38	ga_s2am_ard_3-2-1_52HBJ_2023-06-03_nrt
2023-06-03 11:16:41	ga_s2am_ard_3-2-1_51HYD_2023-06-03_final
2023-06-03 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-06-03_final
2023-06-03 11:16:48	ga_s2am_ard_3-2-1_51HWD_2023-06-03_final
2023-06-03 11:16:53	ga_s2am_ard_3-2-1_52HBH_2023-06-03_nrt
2023-06-03 11:16:55	ga_s2am_ard_3-2-1_51HYC_2023-06-03_nrt
2023-06-03 11:16:59	ga_s2am_ard_3-2-1_51HXC_2023-06-03_final
2023-06-03 11:17:02	ga_s2am_ard_3-2-1_51HWC_2023-06-03_final
2023-06-03 11:17:07	ga_s2am_ard_3-2-1_52HBG_2023-06-03_nrt
2023-06-03 11:17:08	ga_s2am_ard_3-2-1_51HYB_2023-06-03_nrt
2023-06-03 11:17:10	ga_s2am_ard_3-2-1_51HXB_2023-06-03_final
2023-06-03 11:17:12	ga_s2am_ard_3-2-1_51HWB_2023-06-03_final
2023-06-03 11:17:13	ga_s2am_ard_3-2-1_51HYA_2023-06-03_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