Search ga_s2am_ard_3 across January 2016

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
2016-01-01 09:33:43	ga_s2am_ard_3-2-1_56JLT_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JNP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JMP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JLT_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55JHM_2016-01-01_final.stac-item
2016-01-01 11:14:13	ga_s2am_ard_3-2-1_51KZR_2016-01-01_final.stac-item
2016-01-01 11:14:13	ga_s2am_ard_3-2-1_52KFC_2016-01-01_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KRD_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_51KTU_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLT_2016-01-03_final.stac-item
2016-01-04 09:43:40	ga_s2am_ard_3-2-1_56JLT_2016-01-04_final.stac-item
2016-01-05 10:52:38	ga_s2am_ard_3-2-1_53KKU_2016-01-05_final.stac-item
2016-01-05 10:52:38	ga_s2am_ard_3-2-1_53KLU_2016-01-05_final.stac-item
2016-01-05 10:54:11	ga_s2am_ard_3-2-1_53JLN_2016-01-05_final.stac-item
2016-01-05 10:54:11	ga_s2am_ard_3-2-1_52KHB_2016-01-05_final.stac-item
2016-01-05 10:54:11	ga_s2am_ard_3-2-1_52KHC_2016-01-05_final.stac-item
2016-01-05 10:54:11	ga_s2am_ard_3-2-1_52KHD_2016-01-05_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JUT_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_53JRM_2016-01-06_final.stac-item
2016-01-06 12:04:05	ga_s2am_ard_3-2-1_49KHR_2016-01-06_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JKT_2016-01-06_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JHM_2016-01-06_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50JRS_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYT_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JUN_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JTN_2016-01-07_final.stac-item
2016-01-08 11:03:33	ga_s2am_ard_3-2-1_52KHD_2016-01-08_final.stac-item
2016-01-08 11:03:33	ga_s2am_ard_3-2-1_52KHC_2016-01-08_final.stac-item
2016-01-08 11:03:33	ga_s2am_ard_3-2-1_52KHB_2016-01-08_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHS_2016-01-09_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-01-10 10:05:29	ga_s2am_ard_3-2-1_54KZC_2016-01-10_final.stac-item
2016-01-10 10:05:29	ga_s2am_ard_3-2-1_54KZB_2016-01-10_final.stac-item
2016-01-10 10:05:29	ga_s2am_ard_3-2-1_54KZA_2016-01-10_final.stac-item
2016-01-11 09:34:10	ga_s2am_ard_3-2-1_56JLT_2016-01-11_final.stac-item
2016-01-11 09:34:10	ga_s2am_ard_3-2-1_55JHM_2016-01-11_final.stac-item
2016-01-11 11:13:29	ga_s2am_ard_3-2-1_51KZR_2016-01-11_final.stac-item
2016-01-11 11:13:29	ga_s2am_ard_3-2-1_52KBA_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51KZR_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JCT_2016-01-11_final.stac-item
2016-01-12 10:44:10	ga_s2am_ard_3-2-1_53JNN_2016-01-12_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_56JLT_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_55KHS_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_55JHM_2016-01-14_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JMN_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JHS_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52KHB_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52KHC_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JLN_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52KHD_2016-01-15_final.stac-item
2016-01-16 10:22:37	ga_s2am_ard_3-2-1_54KWC_2016-01-16_final.stac-item
2016-01-16 10:22:37	ga_s2am_ard_3-2-1_54KXC_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHR_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLT_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHS_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHM_2016-01-16_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JNP_2016-01-17_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JMP_2016-01-17_final.stac-item
2016-01-18 11:02:07	ga_s2am_ard_3-2-1_52KHD_2016-01-18_final.stac-item
2016-01-18 11:02:07	ga_s2am_ard_3-2-1_52KHC_2016-01-18_final.stac-item
2016-01-18 11:02:07	ga_s2am_ard_3-2-1_52KHB_2016-01-18_final.stac-item
2016-01-19 10:32:37	ga_s2am_ard_3-2-1_53KRU_2016-01-19_final.stac-item
2016-01-19 10:32:37	ga_s2am_ard_3-2-1_53KRT_2016-01-19_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2016-01-19_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JRS_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KRD_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KRA_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KRB_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JUN_2016-01-20_final.stac-item
2016-01-21 09:33:46	ga_s2am_ard_3-2-1_56JLT_2016-01-21_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52JET_2016-01-21_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_51KZR_2016-01-21_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52JCT_2016-01-21_final.stac-item
2016-01-23 10:15:08	ga_s2am_ard_3-2-1_54JXT_2016-01-23_final.stac-item
2016-01-24 09:43:36	ga_s2am_ard_3-2-1_56JLT_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZT_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZS_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZR_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KCA_2016-01-24_final.stac-item
2016-01-25 10:53:17	ga_s2am_ard_3-2-1_52KHB_2016-01-25_final.stac-item
2016-01-25 10:53:17	ga_s2am_ard_3-2-1_52KHC_2016-01-25_final.stac-item
2016-01-25 10:53:17	ga_s2am_ard_3-2-1_53KNT_2016-01-25_final.stac-item
2016-01-25 10:54:07	ga_s2am_ard_3-2-1_53JMN_2016-01-25_final.stac-item
2016-01-25 10:54:07	ga_s2am_ard_3-2-1_53JLN_2016-01-25_final.stac-item
2016-01-26 10:22:36	ga_s2am_ard_3-2-1_54KVC_2016-01-26_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_49KHR_2016-01-26_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLT_2016-01-26_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JKT_2016-01-26_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JHM_2016-01-26_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_54JUT_2016-01-29_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53KRU_2016-01-29_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53KRS_2016-01-29_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53KRT_2016-01-29_final.stac-item
2016-01-29 12:13:40	ga_s2am_ard_3-2-1_50KKA_2016-01-29_final.stac-item
2016-01-29 12:13:40	ga_s2am_ard_3-2-1_49KHR_2016-01-29_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JNP_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JMP_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JLT_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_55JHM_2016-01-31_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_51KZS_2016-01-31_final.stac-item

Return to ga_s2am_ard_3 across January 2016 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

2016

January

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