Search ga_ls7e_ard_3 across March 2020

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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-03-12 09:47:34	ga_ls7e_ard_3-1-0_099070_2020-03-12_final
2020-03-12 09:47:58	ga_ls7e_ard_3-1-0_099071_2020-03-12_final
2020-03-12 09:48:22	ga_ls7e_ard_3-1-0_099072_2020-03-12_final
2020-03-12 09:48:46	ga_ls7e_ard_3-1-0_099073_2020-03-12_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-03-12 09:49:34	ga_ls7e_ard_3-1-0_099075_2020-03-12_final
2020-03-12 09:49:58	ga_ls7e_ard_3-1-0_099076_2020-03-12_final
2020-03-12 09:50:21	ga_ls7e_ard_3-1-0_099077_2020-03-12_final
2020-03-12 09:50:45	ga_ls7e_ard_3-1-0_099078_2020-03-12_final
2020-03-12 09:51:09	ga_ls7e_ard_3-1-0_099079_2020-03-12_final
2020-03-12 09:51:33	ga_ls7e_ard_3-1-0_099080_2020-03-12_final
2020-03-12 09:51:57	ga_ls7e_ard_3-1-0_099081_2020-03-12_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_final
2020-03-12 09:52:45	ga_ls7e_ard_3-1-0_099083_2020-03-12_final
2020-03-12 09:53:09	ga_ls7e_ard_3-1-0_099084_2020-03-12_final
2020-03-12 11:28:26	ga_ls7e_ard_3-1-0_115075_2020-03-12_final
2020-03-12 11:28:50	ga_ls7e_ard_3-1-0_115076_2020-03-12_final
2020-03-12 11:29:14	ga_ls7e_ard_3-1-0_115077_2020-03-12_final
2020-03-12 11:29:38	ga_ls7e_ard_3-1-0_115078_2020-03-12_final
2020-03-12 11:30:02	ga_ls7e_ard_3-1-0_115079_2020-03-12_final
2020-03-13 08:54:41	ga_ls7e_ard_3-1-0_090077_2020-03-12_final
2020-03-13 08:55:05	ga_ls7e_ard_3-1-0_090078_2020-03-12_final
2020-03-13 08:55:29	ga_ls7e_ard_3-1-0_090079_2020-03-12_final
2020-03-13 08:55:53	ga_ls7e_ard_3-1-0_090080_2020-03-12_final
2020-03-13 08:56:17	ga_ls7e_ard_3-1-0_090081_2020-03-12_final
2020-03-13 08:56:41	ga_ls7e_ard_3-1-0_090082_2020-03-12_final
2020-03-13 08:57:05	ga_ls7e_ard_3-1-0_090083_2020-03-12_final
2020-03-13 08:57:29	ga_ls7e_ard_3-1-0_090084_2020-03-12_final
2020-03-13 08:57:53	ga_ls7e_ard_3-1-0_090085_2020-03-12_final
2020-03-13 08:58:17	ga_ls7e_ard_3-1-0_090086_2020-03-12_final
2020-03-13 08:59:04	ga_ls7e_ard_3-1-0_090088_2020-03-12_final
2020-03-13 08:59:28	ga_ls7e_ard_3-1-0_090089_2020-03-12_final
2020-03-13 10:29:58	ga_ls7e_ard_3-1-0_106068_2020-03-13_final
2020-03-13 10:30:22	ga_ls7e_ard_3-1-0_106069_2020-03-13_final
2020-03-13 10:30:46	ga_ls7e_ard_3-1-0_106070_2020-03-13_final
2020-03-13 10:31:10	ga_ls7e_ard_3-1-0_106071_2020-03-13_final
2020-03-13 10:31:34	ga_ls7e_ard_3-1-0_106072_2020-03-13_final
2020-03-13 10:31:58	ga_ls7e_ard_3-1-0_106073_2020-03-13_final
2020-03-13 10:32:22	ga_ls7e_ard_3-1-0_106074_2020-03-13_final
2020-03-13 10:32:46	ga_ls7e_ard_3-1-0_106075_2020-03-13_final
2020-03-13 10:33:10	ga_ls7e_ard_3-1-0_106076_2020-03-13_final
2020-03-13 10:33:34	ga_ls7e_ard_3-1-0_106077_2020-03-13_final
2020-03-13 10:33:58	ga_ls7e_ard_3-1-0_106078_2020-03-13_final
2020-03-13 10:34:22	ga_ls7e_ard_3-1-0_106079_2020-03-13_final
2020-03-13 10:35:10	ga_ls7e_ard_3-1-0_106081_2020-03-13_final
2020-03-13 10:35:33	ga_ls7e_ard_3-1-0_106082_2020-03-13_final
2020-03-14 09:34:42	ga_ls7e_ard_3-1-0_097069_2020-03-14_final
2020-03-14 09:35:06	ga_ls7e_ard_3-1-0_097070_2020-03-14_final
2020-03-14 09:35:30	ga_ls7e_ard_3-1-0_097071_2020-03-14_final
2020-03-14 09:35:54	ga_ls7e_ard_3-1-0_097072_2020-03-14_final
2020-03-14 09:36:18	ga_ls7e_ard_3-1-0_097073_2020-03-14_final
2020-03-14 09:36:41	ga_ls7e_ard_3-1-0_097074_2020-03-14_final
2020-03-14 09:37:05	ga_ls7e_ard_3-1-0_097075_2020-03-14_final
2020-03-14 09:37:29	ga_ls7e_ard_3-1-0_097076_2020-03-14_final
2020-03-14 09:37:53	ga_ls7e_ard_3-1-0_097077_2020-03-14_final
2020-03-14 09:38:17	ga_ls7e_ard_3-1-0_097078_2020-03-14_final
2020-03-14 09:38:41	ga_ls7e_ard_3-1-0_097079_2020-03-14_final
2020-03-14 09:39:05	ga_ls7e_ard_3-1-0_097080_2020-03-14_final
2020-03-14 09:39:29	ga_ls7e_ard_3-1-0_097081_2020-03-14_final
2020-03-14 09:39:53	ga_ls7e_ard_3-1-0_097082_2020-03-14_final
2020-03-14 09:40:17	ga_ls7e_ard_3-1-0_097083_2020-03-14_final
2020-03-14 09:40:41	ga_ls7e_ard_3-1-0_097084_2020-03-14_final
2020-03-14 09:41:05	ga_ls7e_ard_3-1-0_097085_2020-03-14_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-03-14 11:15:58	ga_ls7e_ard_3-1-0_113075_2020-03-14_final
2020-03-14 11:16:22	ga_ls7e_ard_3-1-0_113076_2020-03-14_final
2020-03-14 11:16:46	ga_ls7e_ard_3-1-0_113077_2020-03-14_final
2020-03-14 11:17:10	ga_ls7e_ard_3-1-0_113078_2020-03-14_final
2020-03-14 11:17:34	ga_ls7e_ard_3-1-0_113079_2020-03-14_final
2020-03-14 11:18:22	ga_ls7e_ard_3-1-0_113081_2020-03-14_final
2020-03-15 10:17:30	ga_ls7e_ard_3-1-0_104068_2020-03-15_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-15 10:18:18	ga_ls7e_ard_3-1-0_104070_2020-03-15_final
2020-03-15 10:18:42	ga_ls7e_ard_3-1-0_104071_2020-03-15_final
2020-03-15 10:19:06	ga_ls7e_ard_3-1-0_104072_2020-03-15_final
2020-03-15 10:19:30	ga_ls7e_ard_3-1-0_104073_2020-03-15_final
2020-03-15 10:19:54	ga_ls7e_ard_3-1-0_104074_2020-03-15_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-15 10:21:06	ga_ls7e_ard_3-1-0_104077_2020-03-15_final
2020-03-15 10:21:30	ga_ls7e_ard_3-1-0_104078_2020-03-15_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-15 10:22:17	ga_ls7e_ard_3-1-0_104080_2020-03-15_final
2020-03-15 10:22:41	ga_ls7e_ard_3-1-0_104081_2020-03-15_final
2020-03-15 10:23:05	ga_ls7e_ard_3-1-0_104082_2020-03-15_final
2020-03-16 09:21:26	ga_ls7e_ard_3-1-0_095067_2020-03-15_final
2020-03-22 08:48:24	ga_ls7e_ard_3-1-0_089078_2020-03-21_final
2020-03-22 08:48:48	ga_ls7e_ard_3-1-0_089079_2020-03-21_final
2020-03-22 08:49:12	ga_ls7e_ard_3-1-0_089080_2020-03-21_final
2020-03-22 08:49:36	ga_ls7e_ard_3-1-0_089081_2020-03-21_final
2020-03-22 08:50:00	ga_ls7e_ard_3-1-0_089082_2020-03-21_final
2020-03-22 08:50:24	ga_ls7e_ard_3-1-0_089083_2020-03-21_final
2020-03-22 08:50:48	ga_ls7e_ard_3-1-0_089084_2020-03-21_final
2020-03-22 08:51:12	ga_ls7e_ard_3-1-0_089085_2020-03-21_final
2020-03-22 08:51:36	ga_ls7e_ard_3-1-0_089086_2020-03-21_final
2020-03-23 09:27:13	ga_ls7e_ard_3-1-0_096067_2020-03-22_final
2020-03-23 09:28:25	ga_ls7e_ard_3-1-0_096070_2020-03-22_final
2020-03-23 09:28:49	ga_ls7e_ard_3-1-0_096071_2020-03-22_final
2020-03-23 09:29:13	ga_ls7e_ard_3-1-0_096072_2020-03-22_final

Return to ga_ls7e_ard_3 across March 2020 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2020

March

All days