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
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JLQ_2016-12-08_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JMP_2016-12-08_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JMQ_2016-12-08_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JPQ_2016-12-08_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KPD_2016-12-08_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KPF_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLH_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMK_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JLM_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JMP_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLK_2016-12-08_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51HUD_2016-12-09_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51HVD_2016-12-09_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51HXC_2016-12-09_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLQ_2016-12-11_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HPH_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQH_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JPL_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50JQP_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTC_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTD_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HUD_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HVD_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JTJ_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JUG_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HPJ_2016-12-12_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQJ_2016-12-12_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_51HYD_2016-12-13_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLH_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMK_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPH_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HQH_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JNN_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JPL_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JPQ_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JQN_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JQP_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JTJ_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JTM_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNH_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNJ_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNK_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPJ_2016-12-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HQJ_2016-12-15_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51HXB_2016-12-16_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51HXC_2016-12-16_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51HYD_2016-12-16_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51HYE_2016-12-16_final.stac-item
2016-12-16 11:16:48	ga_s2am_ard_3-2-1_51HXB_2016-12-16_final.stac-item
2016-12-16 11:16:48	ga_s2am_ard_3-2-1_51HXC_2016-12-16_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HMK_2016-12-18_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50JLM_2016-12-18_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HLK_2016-12-18_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HNK_2016-12-18_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPH_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQH_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50JPL_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50JQP_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HTC_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HTD_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HUD_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51JUG_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPJ_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQJ_2016-12-22_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_51HYD_2016-12-23_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLH_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMK_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HPH_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HQH_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JPL_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JQN_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51JTM_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51JUM_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNH_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNJ_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNK_2016-12-25_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2016-12-25_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51HXB_2016-12-26_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51HXC_2016-12-26_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51HYD_2016-12-26_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51HYE_2016-12-26_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JMP_2016-12-28_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JMQ_2016-12-28_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JNN_2016-12-28_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JPQ_2016-12-28_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KPD_2016-12-28_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KPF_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HMK_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JLM_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JNN_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLK_2016-12-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HNK_2016-12-28_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HTC_2016-12-29_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HUD_2016-12-29_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HVD_2016-12-29_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HXC_2016-12-29_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51JUG_2016-12-29_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

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