Search ga_s2am_ard_3 across November 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
2019-11-01 09:34:17	ga_s2am_ard_3-2-1_56JKR_2019-11-01_final
2019-11-01 11:14:56	ga_s2am_ard_3-2-1_52JBR_2019-11-01_final
2019-11-01 11:15:03	ga_s2am_ard_3-2-1_52JDQ_2019-11-01_final
2019-11-01 11:15:54	ga_s2am_ard_3-2-1_52JBM_2019-11-01_final
2019-11-02 10:44:51	ga_s2am_ard_3-2-1_53JKL_2019-11-02_final
2019-11-03 10:17:21	ga_s2am_ard_3-2-1_54HTE_2019-11-03_final.stac-item
2019-11-03 10:17:22	ga_s2am_ard_3-2-1_53HQV_2019-11-03_final.stac-item
2019-11-03 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-11-03_final
2019-11-04 11:24:46	ga_s2am_ard_3-2-1_52JBR_2019-11-04_final
2019-11-05 10:54:44	ga_s2am_ard_3-2-1_53JKL_2019-11-05_final
2019-11-06 10:24:36	ga_s2am_ard_3-2-1_54JTR_2019-11-06_final
2019-11-06 10:25:37	ga_s2am_ard_3-2-1_53JQG_2019-11-06_final
2019-11-06 10:27:15	ga_s2am_ard_3-2-1_54HTE_2019-11-06_final.stac-item
2019-11-06 10:27:16	ga_s2am_ard_3-2-1_53HQV_2019-11-06_final.stac-item
2019-11-06 10:27:18	ga_s2am_ard_3-2-1_53HPV_2019-11-06_final.stac-item
2019-11-06 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-11-06_final
2019-11-06 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-11-06_final
2019-11-06 12:06:12	ga_s2am_ard_3-2-1_50JKM_2019-11-06_final
2019-11-07 09:55:27	ga_s2am_ard_3-2-1_55JBG_2019-11-07_final
2019-11-07 09:57:09	ga_s2am_ard_3-2-1_55HBV_2019-11-07_final
2019-11-07 09:57:10	ga_s2am_ard_3-2-1_54HYE_2019-11-07_final
2019-11-07 11:35:07	ga_s2am_ard_3-2-1_51JTL_2019-11-07_final
2019-11-08 11:05:04	ga_s2am_ard_3-2-1_52JEQ_2019-11-08_final
2019-11-08 11:05:07	ga_s2am_ard_3-2-1_52JDQ_2019-11-08_final
2019-11-09 10:34:57	ga_s2am_ard_3-2-1_53JNK_2019-11-09_final
2019-11-09 10:35:33	ga_s2am_ard_3-2-1_53JQG_2019-11-09_final
2019-11-09 10:37:11	ga_s2am_ard_3-2-1_53HPV_2019-11-09_final.stac-item
2019-11-09 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-11-09_final
2019-11-10 10:04:24	ga_s2am_ard_3-2-1_55JBL_2019-11-10_final
2019-11-10 10:05:23	ga_s2am_ard_3-2-1_55JBG_2019-11-10_final
2019-11-10 10:06:58	ga_s2am_ard_3-2-1_55HBV_2019-11-10_final
2019-11-10 10:07:06	ga_s2am_ard_3-2-1_54HYE_2019-11-10_final
2019-11-10 11:45:06	ga_s2am_ard_3-2-1_50JQR_2019-11-10_final
2019-11-11 09:34:17	ga_s2am_ard_3-2-1_56JKR_2019-11-11_final
2019-11-11 09:36:59	ga_s2am_ard_3-2-1_55HGV_2019-11-11_final
2019-11-11 11:14:55	ga_s2am_ard_3-2-1_52JBR_2019-11-11_final
2019-11-11 11:15:02	ga_s2am_ard_3-2-1_52JDQ_2019-11-11_final
2019-11-11 11:15:53	ga_s2am_ard_3-2-1_52JBM_2019-11-11_final
2019-11-12 10:44:50	ga_s2am_ard_3-2-1_53JKL_2019-11-12_final
2019-11-13 10:17:20	ga_s2am_ard_3-2-1_54HTE_2019-11-13_final.stac-item
2019-11-13 10:17:21	ga_s2am_ard_3-2-1_53HQV_2019-11-13_final.stac-item
2019-11-13 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2019-11-13_final
2019-11-14 09:45:13	ga_s2am_ard_3-2-1_55JGG_2019-11-14_final
2019-11-15 10:54:43	ga_s2am_ard_3-2-1_53JKL_2019-11-15_final
2019-11-16 10:24:35	ga_s2am_ard_3-2-1_54JTR_2019-11-16_final
2019-11-16 10:25:36	ga_s2am_ard_3-2-1_53JQG_2019-11-16_final
2019-11-16 10:27:14	ga_s2am_ard_3-2-1_54HTE_2019-11-16_final.stac-item
2019-11-16 10:27:15	ga_s2am_ard_3-2-1_53HQV_2019-11-16_final.stac-item
2019-11-16 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-11-16_final
2019-11-16 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-11-16_final
2019-11-16 12:06:06	ga_s2am_ard_3-2-1_50JKM_2019-11-16_final
2019-11-16 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-11-16_final
2019-11-17 09:57:08	ga_s2am_ard_3-2-1_55HBV_2019-11-17_final
2019-11-17 09:57:09	ga_s2am_ard_3-2-1_54HYE_2019-11-17_final
2019-11-17 11:35:06	ga_s2am_ard_3-2-1_51JTL_2019-11-17_final
2019-11-18 09:27:02	ga_s2am_ard_3-2-1_55HGV_2019-11-17_final
2019-11-18 11:05:03	ga_s2am_ard_3-2-1_52JEQ_2019-11-18_final
2019-11-18 11:05:06	ga_s2am_ard_3-2-1_52JDQ_2019-11-18_final
2019-11-19 10:34:55	ga_s2am_ard_3-2-1_53JNK_2019-11-19_final
2019-11-19 10:35:32	ga_s2am_ard_3-2-1_53JQG_2019-11-19_final
2019-11-19 10:37:10	ga_s2am_ard_3-2-1_53HPV_2019-11-19_final.stac-item
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final
2019-11-20 10:04:23	ga_s2am_ard_3-2-1_55JBL_2019-11-20_final
2019-11-20 10:06:57	ga_s2am_ard_3-2-1_55HBV_2019-11-20_final
2019-11-20 10:07:04	ga_s2am_ard_3-2-1_54HYE_2019-11-20_final
2019-11-20 11:45:04	ga_s2am_ard_3-2-1_50JQR_2019-11-20_final
2019-11-21 09:34:15	ga_s2am_ard_3-2-1_56JKR_2019-11-21_final
2019-11-21 09:35:16	ga_s2am_ard_3-2-1_55JGG_2019-11-21_final
2019-11-21 09:36:57	ga_s2am_ard_3-2-1_55HGV_2019-11-21_final
2019-11-21 11:14:53	ga_s2am_ard_3-2-1_52JBR_2019-11-21_final
2019-11-21 11:15:01	ga_s2am_ard_3-2-1_52JDQ_2019-11-21_final
2019-11-21 11:15:52	ga_s2am_ard_3-2-1_52JBM_2019-11-21_final
2019-11-22 10:44:49	ga_s2am_ard_3-2-1_53JKL_2019-11-22_final
2019-11-23 10:17:19	ga_s2am_ard_3-2-1_54HTE_2019-11-23_final.stac-item
2019-11-23 10:17:20	ga_s2am_ard_3-2-1_53HQV_2019-11-23_final.stac-item
2019-11-23 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2019-11-23_final
2019-11-24 09:44:11	ga_s2am_ard_3-2-1_56JKR_2019-11-24_final
2019-11-24 11:24:44	ga_s2am_ard_3-2-1_52JBR_2019-11-24_final
2019-11-25 10:54:41	ga_s2am_ard_3-2-1_53JKL_2019-11-25_final
2019-11-26 10:24:34	ga_s2am_ard_3-2-1_54JTR_2019-11-26_final
2019-11-26 10:25:35	ga_s2am_ard_3-2-1_53JQG_2019-11-26_final
2019-11-26 10:27:12	ga_s2am_ard_3-2-1_54HTE_2019-11-26_final.stac-item
2019-11-26 10:27:13	ga_s2am_ard_3-2-1_53HQV_2019-11-26_final.stac-item
2019-11-26 12:05:12	ga_s2am_ard_3-2-1_50JKR_2019-11-26_final
2019-11-26 12:05:15	ga_s2am_ard_3-2-1_49JGL_2019-11-26_final
2019-11-27 09:57:06	ga_s2am_ard_3-2-1_55HBV_2019-11-27_final
2019-11-27 09:57:08	ga_s2am_ard_3-2-1_54HYE_2019-11-27_final
2019-11-27 11:35:04	ga_s2am_ard_3-2-1_51JTL_2019-11-27_final
2019-11-28 09:27:00	ga_s2am_ard_3-2-1_55HGV_2019-11-27_final
2019-11-28 11:05:01	ga_s2am_ard_3-2-1_52JEQ_2019-11-28_final
2019-11-28 11:05:04	ga_s2am_ard_3-2-1_52JDQ_2019-11-28_final
2019-11-28 11:05:58	ga_s2am_ard_3-2-1_52JBM_2019-11-28_final
2019-11-29 10:34:54	ga_s2am_ard_3-2-1_53JNK_2019-11-29_final
2019-11-29 10:35:30	ga_s2am_ard_3-2-1_53JQG_2019-11-29_final
2019-11-29 10:37:08	ga_s2am_ard_3-2-1_53HPV_2019-11-29_final.stac-item
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-11-30 10:04:21	ga_s2am_ard_3-2-1_55JBL_2019-11-30_final
2019-11-30 10:05:22	ga_s2am_ard_3-2-1_54JYM_2019-11-30_final
2019-11-30 10:06:55	ga_s2am_ard_3-2-1_55HBV_2019-11-30_final
2019-11-30 10:07:02	ga_s2am_ard_3-2-1_54HYE_2019-11-30_final

Return to ga_s2am_ard_3 across November 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

November

All days