Search ga_s2am_ard_3 across October 2015

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_54JTT_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_54JTR_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_54JTS_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53KRU_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53JPM_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53JQM_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53JNM_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_54KTG_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53KRT_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53KRS_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53JRM_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53KRR_2015-10-01_final.stac-item
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53JNN_2015-10-01_final.stac-item
2015-10-01 10:34:17	ga_s2am_ard_3-2-1_54JTS_2015-10-01_final.stac-item
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_49KHR_2015-10-01_final.stac-item
2015-10-03 11:13:11	ga_s2am_ard_3-2-1_51KZR_2015-10-03_final.stac-item
2015-10-04 10:43:10	ga_s2am_ard_3-2-1_53JLN_2015-10-04_final.stac-item
2015-10-04 10:43:10	ga_s2am_ard_3-2-1_53JPM_2015-10-04_final.stac-item
2015-10-07 10:50:19	ga_s2am_ard_3-2-1_53LNG_2015-10-07_final.stac-item
2015-10-07 10:52:22	ga_s2am_ard_3-2-1_52KHD_2015-10-07_final.stac-item
2015-10-07 10:52:22	ga_s2am_ard_3-2-1_52JGT_2015-10-07_final.stac-item
2015-10-07 10:52:22	ga_s2am_ard_3-2-1_52KHB_2015-10-07_final.stac-item
2015-10-07 10:52:22	ga_s2am_ard_3-2-1_52KHA_2015-10-07_final.stac-item
2015-10-07 10:52:22	ga_s2am_ard_3-2-1_52KHC_2015-10-07_final.stac-item
2015-10-07 10:54:06	ga_s2am_ard_3-2-1_52JGS_2015-10-07_final.stac-item
2015-10-07 10:54:06	ga_s2am_ard_3-2-1_52JGT_2015-10-07_final.stac-item
2015-10-07 10:54:06	ga_s2am_ard_3-2-1_52JHS_2015-10-07_final.stac-item
2015-10-08 10:20:04	ga_s2am_ard_3-2-1_54LWM_2015-10-08_final.stac-item
2015-10-08 10:23:04	ga_s2am_ard_3-2-1_54JTS_2015-10-08_final.stac-item
2015-10-08 10:23:04	ga_s2am_ard_3-2-1_54JUT_2015-10-08_final.stac-item
2015-10-08 10:23:04	ga_s2am_ard_3-2-1_54JUS_2015-10-08_final.stac-item
2015-10-08 10:23:04	ga_s2am_ard_3-2-1_53JRM_2015-10-08_final.stac-item
2015-10-08 10:23:04	ga_s2am_ard_3-2-1_54JVT_2015-10-08_final.stac-item
2015-10-08 10:24:09	ga_s2am_ard_3-2-1_53HQV_2015-10-08_final.stac-item
2015-10-08 10:24:09	ga_s2am_ard_3-2-1_54HTE_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JKM_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JLT_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JMT_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHS_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHM_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50KNA_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHR_2015-10-08_final.stac-item
2015-10-20 09:23:08	ga_s2am_ard_3-2-1_55HGV_2015-10-19_final.stac-item
2015-10-20 09:23:08	ga_s2am_ard_3-2-1_56JNT_2015-10-19_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52JGS_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52KHD_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52JGT_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_53LMG_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
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52JET_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_52KHA_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_53KKR_2015-10-20_final.stac-item
2015-10-20 10:59:55	ga_s2am_ard_3-2-1_52JDT_2015-10-20_final.stac-item
2015-10-21 10:30:24	ga_s2am_ard_3-2-1_54LWM_2015-10-21_final.stac-item
2015-10-21 10:30:24	ga_s2am_ard_3-2-1_54LVM_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_54JTT_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_54JTS_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53KRU_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53JQM_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_54KTG_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53KRT_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53KRS_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53JRM_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53KRR_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53JNN_2015-10-21_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_54KVC_2015-10-21_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHS_2015-10-21_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHR_2015-10-21_final.stac-item
2015-10-22 09:58:08	ga_s2am_ard_3-2-1_55KEB_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54JYT_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54HYE_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54JYS_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_55JCN_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54KZB_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54JZS_2015-10-22_final.stac-item
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54KZA_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_51JUN_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_51LWG_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_51LVG_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50KRA_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JRS_2015-10-22_final.stac-item
2015-10-23 09:32:46	ga_s2am_ard_3-2-1_55HGV_2015-10-23_final.stac-item
2015-10-23 09:32:46	ga_s2am_ard_3-2-1_56JLT_2015-10-23_final.stac-item
2015-10-23 09:32:46	ga_s2am_ard_3-2-1_55JHM_2015-10-23_final.stac-item
2015-10-23 09:32:46	ga_s2am_ard_3-2-1_56JNT_2015-10-23_final.stac-item
2015-10-23 09:37:27	ga_s2am_ard_3-2-1_55HES_2015-10-23_final.stac-item
2015-10-23 11:08:22	ga_s2am_ard_3-2-1_51KZR_2015-10-23_final.stac-item
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYG_2015-10-23_final.stac-item
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYN_2015-10-23_final.stac-item
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_52JCT_2015-10-23_final.stac-item
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JZM_2015-10-23_final.stac-item
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_52JDT_2015-10-23_final.stac-item
2015-10-24 10:43:12	ga_s2am_ard_3-2-1_53JNN_2015-10-24_final.stac-item
2015-10-24 10:43:12	ga_s2am_ard_3-2-1_53JPM_2015-10-24_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKM_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLT_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMT_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHS_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JHM_2015-10-28_final.stac-item

Return to ga_s2am_ard_3 across October 2015 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2015

October

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