Search ga_s2am_ard_3 across February 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
2019-02-01 09:24:20	ga_s2am_ard_3-2-1_56JNQ_2019-01-31_final.stac-item
2019-02-01 09:25:36	ga_s2am_ard_3-2-1_56HMK_2019-01-31_final
2019-02-01 11:04:52	ga_s2am_ard_3-2-1_52JCR_2019-02-01_final
2019-02-02 10:35:53	ga_s2am_ard_3-2-1_53JMF_2019-02-02_final
2019-02-02 10:36:04	ga_s2am_ard_3-2-1_53HNE_2019-02-02_final
2019-02-03 10:04:15	ga_s2am_ard_3-2-1_55JCL_2019-02-03_final
2019-02-03 10:04:20	ga_s2am_ard_3-2-1_55JDK_2019-02-03_final
2019-02-03 10:05:13	ga_s2am_ard_3-2-1_55JCG_2019-02-03_final
2019-02-03 10:06:54	ga_s2am_ard_3-2-1_54HWF_2019-02-03_final
2019-02-03 11:44:48	ga_s2am_ard_3-2-1_51JUL_2019-02-03_final
2019-02-04 09:34:08	ga_s2am_ard_3-2-1_56JLR_2019-02-04_final
2019-02-04 09:34:16	ga_s2am_ard_3-2-1_56JNQ_2019-02-04_final.stac-item
2019-02-04 09:36:47	ga_s2am_ard_3-2-1_55HEA_2019-02-04_final
2019-02-04 11:14:46	ga_s2am_ard_3-2-1_52JCR_2019-02-04_final
2019-02-04 11:15:33	ga_s2am_ard_3-2-1_52JBN_2019-02-04_final
2019-02-05 10:45:26	ga_s2am_ard_3-2-1_53JKH_2019-02-05_final
2019-02-06 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2019-02-06_final
2019-02-06 10:15:29	ga_s2am_ard_3-2-1_54JUM_2019-02-06_final
2019-02-06 10:16:49	ga_s2am_ard_3-2-1_54HWF_2019-02-06_final
2019-02-06 11:54:59	ga_s2am_ard_3-2-1_50JPR_2019-02-06_final
2019-02-06 11:55:56	ga_s2am_ard_3-2-1_50JKN_2019-02-06_final
2019-02-07 09:44:02	ga_s2am_ard_3-2-1_56JLR_2019-02-07_final
2019-02-07 09:44:33	ga_s2am_ard_3-2-1_55JEK_2019-02-07_final
2019-02-07 09:45:44	ga_s2am_ard_3-2-1_55HEE_2019-02-07_final
2019-02-07 09:46:42	ga_s2am_ard_3-2-1_55HEA_2019-02-07_final
2019-02-07 09:46:46	ga_s2am_ard_3-2-1_55HDA_2019-02-07_final
2019-02-08 10:54:34	ga_s2am_ard_3-2-1_53JLL_2019-02-08_final
2019-02-09 10:25:25	ga_s2am_ard_3-2-1_54JUM_2019-02-09_final
2019-02-09 12:05:45	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-02-09 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-02-10 09:54:28	ga_s2am_ard_3-2-1_55JEK_2019-02-10_final
2019-02-10 09:54:31	ga_s2am_ard_3-2-1_55JDK_2019-02-10_final
2019-02-10 09:55:18	ga_s2am_ard_3-2-1_55JCG_2019-02-10_final
2019-02-10 09:55:39	ga_s2am_ard_3-2-1_55HEE_2019-02-10_final
2019-02-10 09:56:42	ga_s2am_ard_3-2-1_55HDA_2019-02-10_final
2019-02-10 11:34:58	ga_s2am_ard_3-2-1_51JUL_2019-02-10_final
2019-02-10 11:35:56	ga_s2am_ard_3-2-1_51JUG_2019-02-10_final
2019-02-11 09:24:20	ga_s2am_ard_3-2-1_56JNQ_2019-02-10_final.stac-item
2019-02-11 11:04:52	ga_s2am_ard_3-2-1_52JCR_2019-02-11_final
2019-02-12 10:35:52	ga_s2am_ard_3-2-1_53JMF_2019-02-12_final
2019-02-12 10:36:03	ga_s2am_ard_3-2-1_53HNE_2019-02-12_final
2019-02-13 10:04:15	ga_s2am_ard_3-2-1_55JCL_2019-02-13_final
2019-02-13 10:04:20	ga_s2am_ard_3-2-1_55JDK_2019-02-13_final
2019-02-13 10:05:13	ga_s2am_ard_3-2-1_55JCG_2019-02-13_final
2019-02-13 10:06:54	ga_s2am_ard_3-2-1_54HWF_2019-02-13_final
2019-02-13 11:44:48	ga_s2am_ard_3-2-1_51JUL_2019-02-13_final
2019-02-14 09:34:08	ga_s2am_ard_3-2-1_56JLR_2019-02-14_final
2019-02-14 09:34:16	ga_s2am_ard_3-2-1_56JNQ_2019-02-14_final.stac-item
2019-02-14 09:36:47	ga_s2am_ard_3-2-1_55HEA_2019-02-14_final
2019-02-14 11:14:46	ga_s2am_ard_3-2-1_52JCR_2019-02-14_final
2019-02-14 11:15:33	ga_s2am_ard_3-2-1_52JBN_2019-02-14_final
2019-02-15 10:45:25	ga_s2am_ard_3-2-1_53JKH_2019-02-15_final
2019-02-16 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2019-02-16_final
2019-02-16 10:15:29	ga_s2am_ard_3-2-1_54JUM_2019-02-16_final
2019-02-16 10:16:49	ga_s2am_ard_3-2-1_54HWF_2019-02-16_final
2019-02-16 11:54:59	ga_s2am_ard_3-2-1_50JPR_2019-02-16_final
2019-02-16 11:55:56	ga_s2am_ard_3-2-1_50JKN_2019-02-16_final
2019-02-17 09:44:02	ga_s2am_ard_3-2-1_56JLR_2019-02-17_final
2019-02-17 09:44:32	ga_s2am_ard_3-2-1_55JEK_2019-02-17_final
2019-02-17 09:45:44	ga_s2am_ard_3-2-1_55HEE_2019-02-17_final
2019-02-17 09:46:42	ga_s2am_ard_3-2-1_55HEA_2019-02-17_final
2019-02-17 09:46:45	ga_s2am_ard_3-2-1_55HDA_2019-02-17_final
2019-02-18 10:54:34	ga_s2am_ard_3-2-1_53JLL_2019-02-18_final
2019-02-19 10:24:38	ga_s2am_ard_3-2-1_54JVQ_2019-02-19_final
2019-02-19 10:25:25	ga_s2am_ard_3-2-1_54JUM_2019-02-19_final
2019-02-19 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-19_final
2019-02-20 09:54:27	ga_s2am_ard_3-2-1_55JEK_2019-02-20_final
2019-02-20 09:54:31	ga_s2am_ard_3-2-1_55JDK_2019-02-20_final
2019-02-20 09:55:17	ga_s2am_ard_3-2-1_55JCG_2019-02-20_final
2019-02-20 09:55:39	ga_s2am_ard_3-2-1_55HEE_2019-02-20_final
2019-02-20 09:56:41	ga_s2am_ard_3-2-1_55HDA_2019-02-20_final
2019-02-20 11:34:57	ga_s2am_ard_3-2-1_51JUL_2019-02-20_final
2019-02-20 11:35:55	ga_s2am_ard_3-2-1_51JUG_2019-02-20_final
2019-02-21 09:24:20	ga_s2am_ard_3-2-1_56JNQ_2019-02-20_final.stac-item
2019-02-21 11:04:52	ga_s2am_ard_3-2-1_52JCR_2019-02-21_final
2019-02-22 10:35:52	ga_s2am_ard_3-2-1_53JMF_2019-02-22_final
2019-02-22 10:36:03	ga_s2am_ard_3-2-1_53HNE_2019-02-22_final
2019-02-23 10:04:14	ga_s2am_ard_3-2-1_55JCL_2019-02-23_final
2019-02-23 10:04:19	ga_s2am_ard_3-2-1_55JDK_2019-02-23_final
2019-02-23 10:05:12	ga_s2am_ard_3-2-1_55JCG_2019-02-23_final
2019-02-23 10:06:53	ga_s2am_ard_3-2-1_54HWF_2019-02-23_final
2019-02-23 11:44:47	ga_s2am_ard_3-2-1_51JUL_2019-02-23_final
2019-02-24 09:34:07	ga_s2am_ard_3-2-1_56JLR_2019-02-24_final
2019-02-24 09:34:15	ga_s2am_ard_3-2-1_56JNQ_2019-02-24_final.stac-item
2019-02-24 09:35:31	ga_s2am_ard_3-2-1_56HMK_2019-02-24_final
2019-02-24 09:36:46	ga_s2am_ard_3-2-1_55HEA_2019-02-24_final
2019-02-24 11:14:45	ga_s2am_ard_3-2-1_52JCR_2019-02-24_final
2019-02-24 11:15:32	ga_s2am_ard_3-2-1_52JBN_2019-02-24_final
2019-02-25 10:45:24	ga_s2am_ard_3-2-1_53JKH_2019-02-25_final
2019-02-26 10:14:38	ga_s2am_ard_3-2-1_54JWQ_2019-02-26_final
2019-02-26 10:15:28	ga_s2am_ard_3-2-1_54JUM_2019-02-26_final
2019-02-26 10:16:48	ga_s2am_ard_3-2-1_54HWF_2019-02-26_final
2019-02-26 11:54:58	ga_s2am_ard_3-2-1_50JPR_2019-02-26_final
2019-02-26 11:55:55	ga_s2am_ard_3-2-1_50JKN_2019-02-26_final
2019-02-27 09:44:01	ga_s2am_ard_3-2-1_56JLR_2019-02-27_final
2019-02-27 09:44:31	ga_s2am_ard_3-2-1_55JEK_2019-02-27_final
2019-02-27 09:45:43	ga_s2am_ard_3-2-1_55HEE_2019-02-27_final
2019-02-27 09:46:41	ga_s2am_ard_3-2-1_55HEA_2019-02-27_final
2019-02-27 09:46:44	ga_s2am_ard_3-2-1_55HDA_2019-02-27_final
2019-02-27 11:26:43	ga_s2am_ard_3-2-1_51HXC_2019-02-27_final.stac-item

Return to ga_s2am_ard_3 across February 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

February

All days