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
2021-03-17 11:53:38	ga_s2am_ard_3-2-1_50KNB_2021-03-17_final.stac-item
2021-03-17 11:53:42	ga_s2am_ard_3-2-1_50KMB_2021-03-17_final.stac-item
2021-03-17 11:53:46	ga_s2am_ard_3-2-1_50KQA_2021-03-17_final.stac-item
2021-03-17 11:53:49	ga_s2am_ard_3-2-1_50KPA_2021-03-17_final.stac-item
2021-03-17 11:53:53	ga_s2am_ard_3-2-1_50KNA_2021-03-17_final.stac-item
2021-03-17 11:53:56	ga_s2am_ard_3-2-1_50KMA_2021-03-17_final.stac-item
2021-03-17 11:54:00	ga_s2am_ard_3-2-1_50KQV_2021-03-17_final.stac-item
2021-03-17 11:54:04	ga_s2am_ard_3-2-1_50KPV_2021-03-17_final.stac-item
2021-03-17 11:54:07	ga_s2am_ard_3-2-1_50KNV_2021-03-17_final.stac-item
2021-03-17 11:54:11	ga_s2am_ard_3-2-1_50KMV_2021-03-17_final.stac-item
2021-03-17 11:54:12	ga_s2am_ard_3-2-1_50KQU_2021-03-17_final.stac-item
2021-03-17 11:54:18	ga_s2am_ard_3-2-1_50KPU_2021-03-17_final.stac-item
2021-03-17 11:54:22	ga_s2am_ard_3-2-1_50KNU_2021-03-17_final.stac-item
2021-03-17 11:54:22	ga_s2am_ard_3-2-1_50JQT_2021-03-17_final.stac-item
2021-03-17 11:54:25	ga_s2am_ard_3-2-1_50KMU_2021-03-17_final.stac-item
2021-03-17 11:54:32	ga_s2am_ard_3-2-1_50JPT_2021-03-17_final.stac-item
2021-03-17 11:54:32	ga_s2am_ard_3-2-1_50KLU_2021-03-17_final.stac-item
2021-03-17 11:54:36	ga_s2am_ard_3-2-1_50JNT_2021-03-17_final.stac-item
2021-03-17 11:54:40	ga_s2am_ard_3-2-1_50JMT_2021-03-17_final.stac-item
2021-03-17 11:54:44	ga_s2am_ard_3-2-1_50JLT_2021-03-17_final.stac-item
2021-03-17 11:54:47	ga_s2am_ard_3-2-1_50JPS_2021-03-17_final.stac-item
2021-03-17 11:54:51	ga_s2am_ard_3-2-1_50JNS_2021-03-17_final.stac-item
2021-03-17 11:54:54	ga_s2am_ard_3-2-1_50JMS_2021-03-17_final.stac-item
2021-03-17 11:54:57	ga_s2am_ard_3-2-1_50JLS_2021-03-17_final.stac-item
2021-03-17 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-03-17_final.stac-item
2021-03-17 11:55:05	ga_s2am_ard_3-2-1_50JNR_2021-03-17_final.stac-item
2021-03-17 11:55:09	ga_s2am_ard_3-2-1_50JMR_2021-03-17_final.stac-item
2021-03-17 11:55:12	ga_s2am_ard_3-2-1_50JLR_2021-03-17_final.stac-item
2021-03-17 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2021-03-17_final.stac-item
2021-03-17 11:55:20	ga_s2am_ard_3-2-1_50JNQ_2021-03-17_final.stac-item
2021-03-17 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2021-03-17_final.stac-item
2021-03-17 11:55:25	ga_s2am_ard_3-2-1_50JPP_2021-03-17_final.stac-item
2021-03-17 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-03-17_final.stac-item
2021-03-17 11:55:34	ga_s2am_ard_3-2-1_50JNP_2021-03-17_final.stac-item
2021-03-17 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-03-17_final.stac-item
2021-03-17 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-03-17_final.stac-item
2021-03-17 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-17_final.stac-item
2021-03-17 11:55:49	ga_s2am_ard_3-2-1_50JNN_2021-03-17_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 11:55:55	ga_s2am_ard_3-2-1_50JLN_2021-03-17_final.stac-item
2021-03-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-17_final.stac-item
2021-03-17 11:56:03	ga_s2am_ard_3-2-1_50JNM_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
2021-03-17 11:56:10	ga_s2am_ard_3-2-1_50JLM_2021-03-17_final.stac-item
2021-03-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-03-17_final.stac-item
2021-03-17 11:56:17	ga_s2am_ard_3-2-1_50JNL_2021-03-17_final.stac-item
2021-03-17 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-03-17_final.stac-item
2021-03-17 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-03-17_final.stac-item
2021-03-17 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-03-17_final.stac-item
2021-03-18 09:44:38	ga_s2am_ard_3-2-1_56JKP_2021-03-18_final.stac-item
2021-03-18 09:44:53	ga_s2am_ard_3-2-1_56JKN_2021-03-18_final.stac-item
2021-03-18 09:45:08	ga_s2am_ard_3-2-1_56JKM_2021-03-18_final.stac-item
2021-03-18 09:45:21	ga_s2am_ard_3-2-1_56JKL_2021-03-18_final.stac-item
2021-03-18 09:45:32	ga_s2am_ard_3-2-1_56HKK_2021-03-18_final.stac-item
2021-03-18 09:45:47	ga_s2am_ard_3-2-1_55HEE_2021-03-18_final.stac-item
2021-03-18 09:45:50	ga_s2am_ard_3-2-1_55HDE_2021-03-18_final.stac-item
2021-03-18 09:46:01	ga_s2am_ard_3-2-1_55HED_2021-03-18_final.stac-item
2021-03-18 09:46:05	ga_s2am_ard_3-2-1_55HDD_2021-03-18_final.stac-item
2021-03-18 09:46:16	ga_s2am_ard_3-2-1_55HEC_2021-03-18_final.stac-item
2021-03-18 09:46:19	ga_s2am_ard_3-2-1_55HDC_2021-03-18_final.stac-item
2021-03-18 09:46:27	ga_s2am_ard_3-2-1_55HCC_2021-03-18_final.stac-item
2021-03-18 09:46:30	ga_s2am_ard_3-2-1_55HEB_2021-03-18_final.stac-item
2021-03-18 09:46:34	ga_s2am_ard_3-2-1_55HDB_2021-03-18_final.stac-item
2021-03-18 09:46:38	ga_s2am_ard_3-2-1_55HCB_2021-03-18_final.stac-item
2021-03-18 09:46:45	ga_s2am_ard_3-2-1_55HEA_2021-03-18_final.stac-item
2021-03-18 09:46:48	ga_s2am_ard_3-2-1_55HDA_2021-03-18_final.stac-item
2021-03-18 09:46:51	ga_s2am_ard_3-2-1_55HCA_2021-03-18_final.stac-item
2021-03-18 09:46:59	ga_s2am_ard_3-2-1_55HEV_2021-03-18_final.stac-item
2021-03-18 09:47:03	ga_s2am_ard_3-2-1_55HDV_2021-03-18_final.stac-item
2021-03-18 09:47:06	ga_s2am_ard_3-2-1_55HCV_2021-03-18_final.stac-item
2021-03-18 09:47:14	ga_s2am_ard_3-2-1_55HEU_2021-03-18_final.stac-item
2021-03-18 09:47:17	ga_s2am_ard_3-2-1_55HDU_2021-03-18_final.stac-item
2021-03-18 09:47:21	ga_s2am_ard_3-2-1_55HCU_2021-03-18_final.stac-item
2021-03-18 09:47:28	ga_s2am_ard_3-2-1_55HET_2021-03-18_final.stac-item
2021-03-18 09:47:28	ga_s2am_ard_3-2-1_55HBU_2021-03-18_final.stac-item
2021-03-18 09:47:32	ga_s2am_ard_3-2-1_55HDT_2021-03-18_final.stac-item
2021-03-18 09:47:35	ga_s2am_ard_3-2-1_55HCT_2021-03-18_final.stac-item
2021-03-18 09:47:39	ga_s2am_ard_3-2-1_55HBT_2021-03-18_final.stac-item
2021-03-18 09:47:43	ga_s2am_ard_3-2-1_55HES_2021-03-18_final.stac-item
2021-03-18 09:47:43	ga_s2am_ard_3-2-1_54HYC_2021-03-18_final.stac-item
2021-03-18 09:47:46	ga_s2am_ard_3-2-1_55HDS_2021-03-18_final.stac-item
2021-03-18 09:47:50	ga_s2am_ard_3-2-1_55HCS_2021-03-18_final.stac-item
2021-03-18 09:47:53	ga_s2am_ard_3-2-1_55HBS_2021-03-18_final.stac-item
2021-03-18 09:47:54	ga_s2am_ard_3-2-1_54HYB_2021-03-18_final.stac-item
2021-03-18 09:47:57	ga_s2am_ard_3-2-1_55GER_2021-03-18_final.stac-item
2021-03-18 09:48:01	ga_s2am_ard_3-2-1_55GDR_2021-03-18_final.stac-item
2021-03-18 09:48:05	ga_s2am_ard_3-2-1_55GCR_2021-03-18_final.stac-item
2021-03-18 09:48:08	ga_s2am_ard_3-2-1_55GBR_2021-03-18_final.stac-item
2021-03-18 09:48:08	ga_s2am_ard_3-2-1_54GYA_2021-03-18_final.stac-item
2021-03-18 09:48:10	ga_s2am_ard_3-2-1_55GEQ_2021-03-18_final.stac-item
2021-03-18 09:48:15	ga_s2am_ard_3-2-1_55GDQ_2021-03-18_final.stac-item
2021-03-18 09:48:19	ga_s2am_ard_3-2-1_55GCQ_2021-03-18_final.stac-item
2021-03-18 09:48:21	ga_s2am_ard_3-2-1_55GEP_2021-03-18_final.stac-item
2021-03-18 09:48:22	ga_s2am_ard_3-2-1_55GBQ_2021-03-18_final
2021-03-18 09:48:23	ga_s2am_ard_3-2-1_54GYV_2021-03-18_final
2021-03-18 09:48:30	ga_s2am_ard_3-2-1_55GDP_2021-03-18_final.stac-item
2021-03-18 09:48:34	ga_s2am_ard_3-2-1_55GCP_2021-03-18_final.stac-item
2021-03-18 09:48:44	ga_s2am_ard_3-2-1_55GDN_2021-03-18_final.stac-item
2021-03-18 09:48:48	ga_s2am_ard_3-2-1_55GCN_2021-03-18_final.stac-item
2021-03-18 09:48:57	ga_s2am_ard_3-2-1_55GDM_2021-03-18_final

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

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