Search ga_ls7e_ard_3 across August 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
2020-08-04 08:46:08	ga_ls7e_ard_3-1-0_090077_2020-08-03_final
2020-08-04 08:46:32	ga_ls7e_ard_3-1-0_090078_2020-08-03_final
2020-08-04 08:46:56	ga_ls7e_ard_3-1-0_090079_2020-08-03_final
2020-08-04 08:47:20	ga_ls7e_ard_3-1-0_090080_2020-08-03_final
2020-08-13 08:39:23	ga_ls7e_ard_3-1-0_089077_2020-08-12_final
2020-08-13 08:39:47	ga_ls7e_ard_3-1-0_089078_2020-08-12_final
2020-08-13 08:40:11	ga_ls7e_ard_3-1-0_089079_2020-08-12_final
2020-08-13 08:40:35	ga_ls7e_ard_3-1-0_089080_2020-08-12_final
2020-08-13 08:40:59	ga_ls7e_ard_3-1-0_089081_2020-08-12_final
2020-08-13 08:41:23	ga_ls7e_ard_3-1-0_089082_2020-08-12_final
2020-08-13 08:41:47	ga_ls7e_ard_3-1-0_089083_2020-08-12_final
2020-08-13 08:42:11	ga_ls7e_ard_3-1-0_089084_2020-08-12_final
2020-08-13 08:42:35	ga_ls7e_ard_3-1-0_089085_2020-08-12_final
2020-08-13 08:42:59	ga_ls7e_ard_3-1-0_089086_2020-08-12_final
2020-08-13 10:14:41	ga_ls7e_ard_3-1-0_105068_2020-08-13_final
2020-08-13 10:15:05	ga_ls7e_ard_3-1-0_105069_2020-08-13_final
2020-08-13 10:15:29	ga_ls7e_ard_3-1-0_105070_2020-08-13_final
2020-08-13 10:15:53	ga_ls7e_ard_3-1-0_105071_2020-08-13_final
2020-08-13 10:16:16	ga_ls7e_ard_3-1-0_105072_2020-08-13_final
2020-08-13 10:16:40	ga_ls7e_ard_3-1-0_105073_2020-08-13_final
2020-08-13 10:17:04	ga_ls7e_ard_3-1-0_105074_2020-08-13_final
2020-08-13 10:17:28	ga_ls7e_ard_3-1-0_105075_2020-08-13_final
2020-08-13 10:17:52	ga_ls7e_ard_3-1-0_105076_2020-08-13_final
2020-08-13 10:18:16	ga_ls7e_ard_3-1-0_105077_2020-08-13_final
2020-08-13 10:18:40	ga_ls7e_ard_3-1-0_105078_2020-08-13_final
2020-08-13 10:19:04	ga_ls7e_ard_3-1-0_105079_2020-08-13_final
2020-08-13 10:19:28	ga_ls7e_ard_3-1-0_105080_2020-08-13_final
2020-08-13 10:20:16	ga_ls7e_ard_3-1-0_105082_2020-08-13_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-08-14 09:19:48	ga_ls7e_ard_3-1-0_096070_2020-08-13_final
2020-08-14 09:20:12	ga_ls7e_ard_3-1-0_096071_2020-08-13_final
2020-08-14 09:20:35	ga_ls7e_ard_3-1-0_096072_2020-08-13_final
2020-08-14 09:20:59	ga_ls7e_ard_3-1-0_096073_2020-08-13_final
2020-08-14 09:21:23	ga_ls7e_ard_3-1-0_096074_2020-08-13_final
2020-08-14 09:21:47	ga_ls7e_ard_3-1-0_096075_2020-08-13_final
2020-08-14 09:22:11	ga_ls7e_ard_3-1-0_096076_2020-08-13_final
2020-08-14 09:22:35	ga_ls7e_ard_3-1-0_096077_2020-08-13_final
2020-08-14 09:22:59	ga_ls7e_ard_3-1-0_096078_2020-08-13_final
2020-08-14 09:23:23	ga_ls7e_ard_3-1-0_096079_2020-08-13_final
2020-08-14 09:23:47	ga_ls7e_ard_3-1-0_096080_2020-08-13_final
2020-08-14 09:24:11	ga_ls7e_ard_3-1-0_096081_2020-08-13_final
2020-08-14 09:24:35	ga_ls7e_ard_3-1-0_096082_2020-08-13_final
2020-08-14 09:24:59	ga_ls7e_ard_3-1-0_096083_2020-08-13_final
2020-08-14 09:25:23	ga_ls7e_ard_3-1-0_096084_2020-08-13_final
2020-08-14 09:25:47	ga_ls7e_ard_3-1-0_096085_2020-08-13_final
2020-08-14 09:26:11	ga_ls7e_ard_3-1-0_096086_2020-08-13_final
2020-08-14 11:00:16	ga_ls7e_ard_3-1-0_112074_2020-08-14_final
2020-08-14 11:00:40	ga_ls7e_ard_3-1-0_112075_2020-08-14_final
2020-08-14 11:01:04	ga_ls7e_ard_3-1-0_112076_2020-08-14_final
2020-08-14 11:01:28	ga_ls7e_ard_3-1-0_112077_2020-08-14_final
2020-08-14 11:01:52	ga_ls7e_ard_3-1-0_112078_2020-08-14_final
2020-08-14 11:02:16	ga_ls7e_ard_3-1-0_112079_2020-08-14_final
2020-08-14 11:02:40	ga_ls7e_ard_3-1-0_112080_2020-08-14_final
2020-08-14 11:03:04	ga_ls7e_ard_3-1-0_112081_2020-08-14_final
2020-08-14 11:03:28	ga_ls7e_ard_3-1-0_112082_2020-08-14_final
2020-08-14 11:03:52	ga_ls7e_ard_3-1-0_112083_2020-08-14_final
2020-08-14 11:04:16	ga_ls7e_ard_3-1-0_112084_2020-08-14_final
2020-08-15 10:02:11	ga_ls7e_ard_3-1-0_103068_2020-08-15_final
2020-08-15 10:02:35	ga_ls7e_ard_3-1-0_103069_2020-08-15_final
2020-08-15 10:02:59	ga_ls7e_ard_3-1-0_103070_2020-08-15_final
2020-08-15 10:03:23	ga_ls7e_ard_3-1-0_103071_2020-08-15_final
2020-08-15 10:03:47	ga_ls7e_ard_3-1-0_103072_2020-08-15_final
2020-08-15 10:04:11	ga_ls7e_ard_3-1-0_103073_2020-08-15_final
2020-08-15 10:04:35	ga_ls7e_ard_3-1-0_103074_2020-08-15_final
2020-08-15 10:04:59	ga_ls7e_ard_3-1-0_103075_2020-08-15_final
2020-08-15 10:05:23	ga_ls7e_ard_3-1-0_103076_2020-08-15_final
2020-08-15 10:05:47	ga_ls7e_ard_3-1-0_103077_2020-08-15_final
2020-08-15 10:06:11	ga_ls7e_ard_3-1-0_103078_2020-08-15_final
2020-08-15 10:06:35	ga_ls7e_ard_3-1-0_103079_2020-08-15_final
2020-08-15 10:06:59	ga_ls7e_ard_3-1-0_103080_2020-08-15_final
2020-08-15 10:07:23	ga_ls7e_ard_3-1-0_103081_2020-08-15_final
2020-08-15 10:07:47	ga_ls7e_ard_3-1-0_103082_2020-08-15_final
2020-08-16 09:06:07	ga_ls7e_ard_3-1-0_094067_2020-08-15_final
2020-08-16 09:08:30	ga_ls7e_ard_3-1-0_094073_2020-08-15_final
2020-08-16 09:08:54	ga_ls7e_ard_3-1-0_094074_2020-08-15_final
2020-08-16 09:09:18	ga_ls7e_ard_3-1-0_094075_2020-08-15_final
2020-08-16 09:09:42	ga_ls7e_ard_3-1-0_094076_2020-08-15_final
2020-08-16 09:10:06	ga_ls7e_ard_3-1-0_094077_2020-08-15_final
2020-08-16 09:10:30	ga_ls7e_ard_3-1-0_094078_2020-08-15_final
2020-08-16 09:10:54	ga_ls7e_ard_3-1-0_094079_2020-08-15_final
2020-08-16 09:11:18	ga_ls7e_ard_3-1-0_094080_2020-08-15_final
2020-08-16 09:11:42	ga_ls7e_ard_3-1-0_094081_2020-08-15_final
2020-08-16 09:12:06	ga_ls7e_ard_3-1-0_094082_2020-08-15_final
2020-08-16 09:12:30	ga_ls7e_ard_3-1-0_094083_2020-08-15_final
2020-08-16 09:12:54	ga_ls7e_ard_3-1-0_094084_2020-08-15_final
2020-08-16 09:13:18	ga_ls7e_ard_3-1-0_094085_2020-08-15_final
2020-08-16 09:13:41	ga_ls7e_ard_3-1-0_094086_2020-08-15_final
2020-08-16 10:44:59	ga_ls7e_ard_3-1-0_110067_2020-08-16_final
2020-08-16 10:46:11	ga_ls7e_ard_3-1-0_110070_2020-08-16_final
2020-08-16 10:46:35	ga_ls7e_ard_3-1-0_110071_2020-08-16_final
2020-08-16 10:46:59	ga_ls7e_ard_3-1-0_110072_2020-08-16_final
2020-08-16 10:47:23	ga_ls7e_ard_3-1-0_110073_2020-08-16_final
2020-08-16 10:47:47	ga_ls7e_ard_3-1-0_110074_2020-08-16_final
2020-08-16 10:48:11	ga_ls7e_ard_3-1-0_110075_2020-08-16_final
2020-08-16 10:48:35	ga_ls7e_ard_3-1-0_110076_2020-08-16_final
2020-08-16 10:48:59	ga_ls7e_ard_3-1-0_110077_2020-08-16_final
2020-08-16 10:49:23	ga_ls7e_ard_3-1-0_110078_2020-08-16_final
2020-08-16 10:50:11	ga_ls7e_ard_3-1-0_110080_2020-08-16_final
2020-08-16 10:50:58	ga_ls7e_ard_3-1-0_110082_2020-08-16_final
2020-08-16 10:51:22	ga_ls7e_ard_3-1-0_110083_2020-08-16_final

Return to ga_ls7e_ard_3 across August 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

August

All days