Search ga_s2am_ard_3 across July 2019

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
2019-07-01 09:24:14	ga_s2am_ard_3-2-1_56JNR_2019-06-30_final.stac-item
2019-07-01 09:25:26	ga_s2am_ard_3-2-1_56JNL_2019-06-30_final
2019-07-01 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-06-30_final
2019-07-01 11:04:55	ga_s2am_ard_3-2-1_52JDR_2019-07-01_final
2019-07-01 11:05:02	ga_s2am_ard_3-2-1_52JFQ_2019-07-01_final
2019-07-02 10:34:48	ga_s2am_ard_3-2-1_54JTQ_2019-07-02_final
2019-07-02 10:34:55	ga_s2am_ard_3-2-1_53JPK_2019-07-02_final
2019-07-03 10:04:48	ga_s2am_ard_3-2-1_54JXQ_2019-07-03_final
2019-07-03 10:05:50	ga_s2am_ard_3-2-1_54JWL_2019-07-03_final
2019-07-03 11:46:58	ga_s2am_ard_3-2-1_50HQH_2019-07-03_final
2019-07-04 09:35:26	ga_s2am_ard_3-2-1_56JML_2019-07-04_final
2019-07-05 10:45:05	ga_s2am_ard_3-2-1_53JKK_2019-07-05_final
2019-07-06 10:14:33	ga_s2am_ard_3-2-1_54JWR_2019-07-06_final
2019-07-06 10:14:44	ga_s2am_ard_3-2-1_54JXQ_2019-07-06_final
2019-07-06 10:15:46	ga_s2am_ard_3-2-1_54JWL_2019-07-06_final
2019-07-06 10:16:39	ga_s2am_ard_3-2-1_54HTH_2019-07-06_final
2019-07-07 09:45:38	ga_s2am_ard_3-2-1_55JEF_2019-07-07_final
2019-07-07 09:45:42	ga_s2am_ard_3-2-1_55JDF_2019-07-07_final
2019-07-07 11:25:15	ga_s2am_ard_3-2-1_51JXK_2019-07-07_final
2019-07-08 10:55:01	ga_s2am_ard_3-2-1_53JKK_2019-07-08_final
2019-07-08 10:55:07	ga_s2am_ard_3-2-1_52JFQ_2019-07-08_final
2019-07-09 10:24:26	ga_s2am_ard_3-2-1_54JWR_2019-07-09_final
2019-07-09 10:24:53	ga_s2am_ard_3-2-1_54JTQ_2019-07-09_final
2019-07-09 10:26:35	ga_s2am_ard_3-2-1_54HTH_2019-07-09_final
2019-07-09 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-07-09_final
2019-07-10 09:55:34	ga_s2am_ard_3-2-1_55JEF_2019-07-10_final
2019-07-10 09:55:38	ga_s2am_ard_3-2-1_55JDF_2019-07-10_final
2019-07-10 09:56:30	ga_s2am_ard_3-2-1_54HYH_2019-07-10_final
2019-07-10 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-10_final
2019-07-10 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-10_final
2019-07-11 09:24:14	ga_s2am_ard_3-2-1_56JNR_2019-07-10_final.stac-item
2019-07-11 09:25:27	ga_s2am_ard_3-2-1_56JNL_2019-07-10_final
2019-07-11 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-10_final
2019-07-11 11:04:55	ga_s2am_ard_3-2-1_52JDR_2019-07-11_final
2019-07-11 11:05:03	ga_s2am_ard_3-2-1_52JFQ_2019-07-11_final
2019-07-12 10:34:49	ga_s2am_ard_3-2-1_54JTQ_2019-07-12_final
2019-07-12 10:34:56	ga_s2am_ard_3-2-1_53JPK_2019-07-12_final
2019-07-13 10:04:49	ga_s2am_ard_3-2-1_54JXQ_2019-07-13_final
2019-07-13 10:05:50	ga_s2am_ard_3-2-1_54JWL_2019-07-13_final
2019-07-13 11:46:58	ga_s2am_ard_3-2-1_50HQH_2019-07-13_final
2019-07-14 09:35:26	ga_s2am_ard_3-2-1_56JML_2019-07-14_final
2019-07-15 10:45:05	ga_s2am_ard_3-2-1_53JKK_2019-07-15_final
2019-07-16 10:14:33	ga_s2am_ard_3-2-1_54JWR_2019-07-16_final
2019-07-16 10:14:36	ga_s2am_ard_3-2-1_54JVR_2019-07-16_final
2019-07-16 10:14:44	ga_s2am_ard_3-2-1_54JXQ_2019-07-16_final
2019-07-16 10:15:46	ga_s2am_ard_3-2-1_54JWL_2019-07-16_final
2019-07-16 10:16:39	ga_s2am_ard_3-2-1_54HTH_2019-07-16_final
2019-07-17 09:45:38	ga_s2am_ard_3-2-1_55JEF_2019-07-17_final
2019-07-17 09:45:42	ga_s2am_ard_3-2-1_55JDF_2019-07-17_final
2019-07-17 11:25:15	ga_s2am_ard_3-2-1_51JXK_2019-07-17_final
2019-07-17 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-17_final
2019-07-18 10:55:01	ga_s2am_ard_3-2-1_53JKK_2019-07-18_final
2019-07-18 10:55:07	ga_s2am_ard_3-2-1_52JFQ_2019-07-18_final
2019-07-19 10:24:26	ga_s2am_ard_3-2-1_54JWR_2019-07-19_final
2019-07-19 10:24:32	ga_s2am_ard_3-2-1_54JVR_2019-07-19_final
2019-07-19 10:24:53	ga_s2am_ard_3-2-1_54JTQ_2019-07-19_final
2019-07-19 10:26:35	ga_s2am_ard_3-2-1_54HTH_2019-07-19_final
2019-07-19 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-07-19_final
2019-07-20 09:54:32	ga_s2am_ard_3-2-1_55JFK_2019-07-20_final
2019-07-20 09:55:34	ga_s2am_ard_3-2-1_55JEF_2019-07-20_final
2019-07-20 09:55:38	ga_s2am_ard_3-2-1_55JDF_2019-07-20_final
2019-07-20 09:56:30	ga_s2am_ard_3-2-1_54HYH_2019-07-20_final
2019-07-20 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-20_final
2019-07-20 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-20_final
2019-07-21 09:25:27	ga_s2am_ard_3-2-1_56JNL_2019-07-20_final
2019-07-21 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-20_final
2019-07-21 11:04:55	ga_s2am_ard_3-2-1_52JDR_2019-07-21_final
2019-07-21 11:05:03	ga_s2am_ard_3-2-1_52JFQ_2019-07-21_final
2019-07-22 10:34:49	ga_s2am_ard_3-2-1_54JTQ_2019-07-22_final
2019-07-22 10:34:56	ga_s2am_ard_3-2-1_53JPK_2019-07-22_final
2019-07-23 10:04:49	ga_s2am_ard_3-2-1_54JXQ_2019-07-23_final
2019-07-23 10:05:50	ga_s2am_ard_3-2-1_54JWL_2019-07-23_final
2019-07-23 11:46:58	ga_s2am_ard_3-2-1_50HQH_2019-07-23_final
2019-07-24 09:34:10	ga_s2am_ard_3-2-1_56JNR_2019-07-24_final.stac-item
2019-07-24 09:35:26	ga_s2am_ard_3-2-1_56JML_2019-07-24_final
2019-07-25 10:45:05	ga_s2am_ard_3-2-1_53JKK_2019-07-25_final
2019-07-26 10:14:33	ga_s2am_ard_3-2-1_54JWR_2019-07-26_final
2019-07-26 10:14:36	ga_s2am_ard_3-2-1_54JVR_2019-07-26_final
2019-07-26 10:14:44	ga_s2am_ard_3-2-1_54JXQ_2019-07-26_final
2019-07-26 10:15:46	ga_s2am_ard_3-2-1_54JWL_2019-07-26_final
2019-07-26 10:16:39	ga_s2am_ard_3-2-1_54HTH_2019-07-26_final
2019-07-27 09:45:38	ga_s2am_ard_3-2-1_55JEF_2019-07-27_final
2019-07-27 09:45:42	ga_s2am_ard_3-2-1_55JDF_2019-07-27_final
2019-07-27 11:25:14	ga_s2am_ard_3-2-1_51JXK_2019-07-27_final
2019-07-27 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-27_final
2019-07-28 10:55:00	ga_s2am_ard_3-2-1_53JKK_2019-07-28_final
2019-07-28 10:55:07	ga_s2am_ard_3-2-1_52JFQ_2019-07-28_final
2019-07-29 10:24:26	ga_s2am_ard_3-2-1_54JWR_2019-07-29_final
2019-07-29 10:24:53	ga_s2am_ard_3-2-1_54JTQ_2019-07-29_final
2019-07-29 10:26:35	ga_s2am_ard_3-2-1_54HTH_2019-07-29_final
2019-07-29 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-07-29_final
2019-07-29 12:05:31	ga_s2am_ard_3-2-1_50JLQ_2019-07-29_final
2019-07-30 09:54:32	ga_s2am_ard_3-2-1_55JFK_2019-07-30_final
2019-07-30 09:55:34	ga_s2am_ard_3-2-1_55JEF_2019-07-30_final
2019-07-30 09:55:37	ga_s2am_ard_3-2-1_55JDF_2019-07-30_final
2019-07-30 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-07-30_final
2019-07-30 11:37:07	ga_s2am_ard_3-2-1_50HQH_2019-07-30_final
2019-07-31 09:25:26	ga_s2am_ard_3-2-1_56JNL_2019-07-30_final
2019-07-31 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-30_final
2019-07-31 11:04:55	ga_s2am_ard_3-2-1_52JDR_2019-07-31_final

Return to ga_s2am_ard_3 across July 2019 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

2019

July

All days