Search ga_ls7e_ard_3 across May 2021

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
2021-05-04 09:06:30	ga_ls7e_ard_3-2-0_097069_2021-05-03_final
2021-05-04 09:06:54	ga_ls7e_ard_3-2-0_097070_2021-05-03_final
2021-05-04 09:07:18	ga_ls7e_ard_3-2-0_097071_2021-05-03_final
2021-05-04 09:07:42	ga_ls7e_ard_3-2-0_097072_2021-05-03_final
2021-05-04 09:08:05	ga_ls7e_ard_3-2-0_097073_2021-05-03_final
2021-05-04 09:08:29	ga_ls7e_ard_3-2-0_097074_2021-05-03_final
2021-05-04 09:08:53	ga_ls7e_ard_3-2-0_097075_2021-05-03_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-04 09:09:41	ga_ls7e_ard_3-2-0_097077_2021-05-03_final
2021-05-04 09:10:05	ga_ls7e_ard_3-2-0_097078_2021-05-03_final
2021-05-04 09:10:29	ga_ls7e_ard_3-2-0_097079_2021-05-03_final
2021-05-04 09:10:53	ga_ls7e_ard_3-2-0_097080_2021-05-03_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-04 09:11:41	ga_ls7e_ard_3-2-0_097082_2021-05-03_final
2021-05-04 09:12:05	ga_ls7e_ard_3-2-0_097083_2021-05-03_final
2021-05-04 09:12:29	ga_ls7e_ard_3-2-0_097084_2021-05-03_final
2021-05-04 09:12:53	ga_ls7e_ard_3-2-0_097085_2021-05-03_final
2021-05-04 10:44:35	ga_ls7e_ard_3-2-0_113067_2021-05-04_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-04 10:47:46	ga_ls7e_ard_3-2-0_113075_2021-05-04_final
2021-05-04 10:48:34	ga_ls7e_ard_3-2-0_113077_2021-05-04_final
2021-05-04 10:50:34	ga_ls7e_ard_3-2-0_113082_2021-05-04_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-04 10:51:22	ga_ls7e_ard_3-2-0_113084_2021-05-04_final
2021-05-05 09:49:16	ga_ls7e_ard_3-2-0_104068_2021-05-05_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-05-05 09:50:04	ga_ls7e_ard_3-2-0_104070_2021-05-05_final
2021-05-05 09:50:28	ga_ls7e_ard_3-2-0_104071_2021-05-05_final
2021-05-05 09:50:52	ga_ls7e_ard_3-2-0_104072_2021-05-05_final
2021-05-05 09:51:16	ga_ls7e_ard_3-2-0_104073_2021-05-05_final
2021-05-05 09:51:40	ga_ls7e_ard_3-2-0_104074_2021-05-05_final
2021-05-05 09:52:04	ga_ls7e_ard_3-2-0_104075_2021-05-05_final
2021-05-05 09:52:28	ga_ls7e_ard_3-2-0_104076_2021-05-05_final
2021-05-05 09:52:52	ga_ls7e_ard_3-2-0_104077_2021-05-05_final
2021-05-05 09:53:16	ga_ls7e_ard_3-2-0_104078_2021-05-05_final
2021-05-05 09:53:40	ga_ls7e_ard_3-2-0_104079_2021-05-05_final
2021-05-05 09:54:04	ga_ls7e_ard_3-2-0_104080_2021-05-05_final
2021-05-05 09:54:28	ga_ls7e_ard_3-2-0_104081_2021-05-05_final
2021-05-05 09:54:52	ga_ls7e_ard_3-2-0_104082_2021-05-05_final
2021-05-06 08:53:10	ga_ls7e_ard_3-2-0_095067_2021-05-05_final
2021-05-06 08:55:10	ga_ls7e_ard_3-2-0_095072_2021-05-05_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-06 08:55:58	ga_ls7e_ard_3-2-0_095074_2021-05-05_final
2021-05-06 08:56:22	ga_ls7e_ard_3-2-0_095075_2021-05-05_final
2021-05-06 08:56:46	ga_ls7e_ard_3-2-0_095076_2021-05-05_final
2021-05-06 08:57:10	ga_ls7e_ard_3-2-0_095077_2021-05-05_final
2021-05-06 08:57:34	ga_ls7e_ard_3-2-0_095078_2021-05-05_final
2021-05-06 08:57:58	ga_ls7e_ard_3-2-0_095079_2021-05-05_final
2021-05-06 08:58:22	ga_ls7e_ard_3-2-0_095080_2021-05-05_final
2021-05-06 08:58:45	ga_ls7e_ard_3-2-0_095081_2021-05-05_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-05-06 08:59:33	ga_ls7e_ard_3-2-0_095083_2021-05-05_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-06 09:00:21	ga_ls7e_ard_3-2-0_095085_2021-05-05_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-06 10:32:03	ga_ls7e_ard_3-2-0_111067_2021-05-06_final
2021-05-06 10:32:27	ga_ls7e_ard_3-2-0_111068_2021-05-06_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-06 10:34:03	ga_ls7e_ard_3-2-0_111072_2021-05-06_final
2021-05-06 10:34:27	ga_ls7e_ard_3-2-0_111073_2021-05-06_final
2021-05-06 10:34:51	ga_ls7e_ard_3-2-0_111074_2021-05-06_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-06 10:36:02	ga_ls7e_ard_3-2-0_111077_2021-05-06_final
2021-05-06 10:36:26	ga_ls7e_ard_3-2-0_111078_2021-05-06_final
2021-05-06 10:36:50	ga_ls7e_ard_3-2-0_111079_2021-05-06_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-06 10:38:02	ga_ls7e_ard_3-2-0_111082_2021-05-06_final
2021-05-06 10:38:26	ga_ls7e_ard_3-2-0_111083_2021-05-06_final
2021-05-06 10:38:50	ga_ls7e_ard_3-2-0_111084_2021-05-06_final
2021-05-10 10:08:59	ga_ls7e_ard_3-2-0_107072_2021-05-10_final
2021-05-10 10:10:35	ga_ls7e_ard_3-2-0_107076_2021-05-10_final
2021-05-10 10:11:23	ga_ls7e_ard_3-2-0_107078_2021-05-10_final
2021-05-10 10:12:35	ga_ls7e_ard_3-2-0_107081_2021-05-10_final
2021-05-11 09:12:53	ga_ls7e_ard_3-2-0_098071_2021-05-10_final
2021-05-11 09:14:29	ga_ls7e_ard_3-2-0_098075_2021-05-10_final
2021-05-11 09:14:53	ga_ls7e_ard_3-2-0_098076_2021-05-10_final
2021-05-11 09:16:53	ga_ls7e_ard_3-2-0_098081_2021-05-10_final
2021-05-11 09:17:17	ga_ls7e_ard_3-2-0_098082_2021-05-10_final
2021-05-11 09:17:41	ga_ls7e_ard_3-2-0_098083_2021-05-10_final
2021-05-11 10:50:10	ga_ls7e_ard_3-2-0_114067_2021-05-11_final
2021-05-12 08:19:59	ga_ls7e_ard_3-2-0_089078_2021-05-11_final
2021-05-12 08:20:23	ga_ls7e_ard_3-2-0_089079_2021-05-11_final
2021-05-12 08:20:47	ga_ls7e_ard_3-2-0_089080_2021-05-11_final
2021-05-12 08:21:11	ga_ls7e_ard_3-2-0_089081_2021-05-11_final
2021-05-12 08:21:59	ga_ls7e_ard_3-2-0_089083_2021-05-11_final
2021-05-12 08:22:22	ga_ls7e_ard_3-2-0_089084_2021-05-11_final
2021-05-12 08:22:46	ga_ls7e_ard_3-2-0_089085_2021-05-11_final
2021-05-12 09:55:16	ga_ls7e_ard_3-2-0_105069_2021-05-12_final
2021-05-12 09:55:40	ga_ls7e_ard_3-2-0_105070_2021-05-12_final
2021-05-12 09:56:52	ga_ls7e_ard_3-2-0_105073_2021-05-12_final
2021-05-12 09:57:40	ga_ls7e_ard_3-2-0_105075_2021-05-12_final
2021-05-12 09:58:28	ga_ls7e_ard_3-2-0_105077_2021-05-12_final
2021-05-12 09:59:15	ga_ls7e_ard_3-2-0_105079_2021-05-12_final
2021-05-12 09:59:39	ga_ls7e_ard_3-2-0_105080_2021-05-12_final
2021-05-12 10:00:03	ga_ls7e_ard_3-2-0_105081_2021-05-12_final
2021-05-13 08:59:58	ga_ls7e_ard_3-2-0_096070_2021-05-12_final
2021-05-13 09:00:22	ga_ls7e_ard_3-2-0_096071_2021-05-12_final
2021-05-13 09:00:46	ga_ls7e_ard_3-2-0_096072_2021-05-12_final
2021-05-13 09:01:34	ga_ls7e_ard_3-2-0_096074_2021-05-12_final

Return to ga_ls7e_ard_3 across May 2021 overview

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

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2021

May

All days