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
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KKS_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KKT_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KLS_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KLT_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KMS_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_53KMT_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_52KHB_2015-08-18_final.stac-item
2015-08-18 10:51:19	ga_s2am_ard_3-2-1_52KHC_2015-08-18_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_53KKS_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_53KKT_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KEB_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KEC_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KFB_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KFC_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KGB_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KGC_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KHB_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KHC_2015-10-20_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_54KTB_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_54KTC_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_54KUB_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_54KUC_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_53KQS_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_53KQT_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_53KRS_2015-11-30_final.stac-item
2015-11-30 10:30:39	ga_s2am_ard_3-2-1_53KRT_2015-11-30_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KBB_2015-12-22_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KBC_2015-12-22_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KCB_2015-12-22_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KCC_2015-12-22_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KDB_2015-12-22_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KDC_2015-12-22_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KEC_2015-12-22_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_53KKS_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_53KKT_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KEB_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KEC_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KFB_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KFC_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KGB_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KGC_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KHB_2015-12-29_final.stac-item
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KHC_2015-12-29_final.stac-item
2016-01-05 10:54:11	ga_s2am_ard_3-2-1_53KKS_2016-01-05_final.stac-item
2016-01-17 09:52:43	ga_s2am_ard_3-2-1_55KES_2016-01-17_final.stac-item
2016-01-17 09:52:43	ga_s2am_ard_3-2-1_55KET_2016-01-17_final.stac-item
2016-01-17 09:52:43	ga_s2am_ard_3-2-1_55KFS_2016-01-17_final.stac-item
2016-01-17 09:52:43	ga_s2am_ard_3-2-1_55KFT_2016-01-17_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KMT_2016-02-01_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KNS_2016-02-01_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KNT_2016-02-01_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KPS_2016-02-01_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KPT_2016-02-01_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KQS_2016-02-01_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KQT_2016-02-01_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_54KTB_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_54KTC_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_54KUB_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_54KUC_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53KQS_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53KQT_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53KRS_2018-10-25_final.stac-item
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53KRT_2018-10-25_final.stac-item
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_50KKB_2018-10-25_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KQB_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KQC_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KRB_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KRC_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KTS_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KTT_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUS_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUT_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KVS_2018-10-26_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KVT_2018-10-26_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KMC_2018-10-29_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KNB_2018-10-29_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KNC_2018-10-29_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KPB_2018-10-29_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KPC_2018-10-29_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KQB_2018-10-29_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KQC_2018-10-29_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50KQB_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50KQC_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50KRB_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50KRC_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KTS_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KTT_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUS_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUT_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KVS_2018-11-05_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KVT_2018-11-05_final.stac-item
2018-11-15 11:43:11	ga_s2am_ard_3-2-1_51KVT_2018-11-15_final.stac-item
2018-11-15 11:43:13	ga_s2am_ard_3-2-1_51KUT_2018-11-15_final.stac-item
2018-11-15 11:43:14	ga_s2am_ard_3-2-1_51KTT_2018-11-15_final.stac-item
2018-11-15 11:43:14	ga_s2am_ard_3-2-1_50KRC_2018-11-15_final.stac-item
2018-11-15 11:43:17	ga_s2am_ard_3-2-1_50KQC_2018-11-15_final.stac-item
2018-11-15 11:43:19	ga_s2am_ard_3-2-1_51KVS_2018-11-15_final.stac-item
2018-11-15 11:43:23	ga_s2am_ard_3-2-1_51KUS_2018-11-15_final.stac-item
2018-11-15 11:43:27	ga_s2am_ard_3-2-1_51KTS_2018-11-15_final.stac-item
2018-11-15 11:43:27	ga_s2am_ard_3-2-1_50KRB_2018-11-15_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

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