Search ga_ls7e_ard_3 across 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
2021-01-08 09:41:05	ga_ls7e_ard_3-1-0_101071_2021-01-08_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-08 09:41:53	ga_ls7e_ard_3-1-0_101073_2021-01-08_final
2021-01-08 09:42:17	ga_ls7e_ard_3-1-0_101074_2021-01-08_final
2021-01-08 09:42:41	ga_ls7e_ard_3-1-0_101075_2021-01-08_final
2021-01-08 09:43:05	ga_ls7e_ard_3-1-0_101076_2021-01-08_final
2021-01-08 09:43:29	ga_ls7e_ard_3-1-0_101077_2021-01-08_final
2021-01-08 09:43:53	ga_ls7e_ard_3-1-0_101078_2021-01-08_final
2021-01-08 09:44:17	ga_ls7e_ard_3-1-0_101079_2021-01-08_final
2021-01-08 09:44:41	ga_ls7e_ard_3-1-0_101080_2021-01-08_final
2021-01-08 09:45:05	ga_ls7e_ard_3-1-0_101081_2021-01-08_final
2021-01-08 09:45:29	ga_ls7e_ard_3-1-0_101082_2021-01-08_final
2021-01-08 09:45:53	ga_ls7e_ard_3-1-0_101083_2021-01-08_final
2021-01-09 08:48:35	ga_ls7e_ard_3-1-0_092079_2021-01-08_final
2021-01-09 08:48:59	ga_ls7e_ard_3-1-0_092080_2021-01-08_final
2021-01-09 08:49:23	ga_ls7e_ard_3-1-0_092081_2021-01-08_final
2021-01-09 08:49:47	ga_ls7e_ard_3-1-0_092082_2021-01-08_final
2021-01-09 08:50:11	ga_ls7e_ard_3-1-0_092083_2021-01-08_final
2021-01-09 08:50:35	ga_ls7e_ard_3-1-0_092084_2021-01-08_final
2021-01-09 08:50:59	ga_ls7e_ard_3-1-0_092085_2021-01-08_final
2021-01-09 08:51:23	ga_ls7e_ard_3-1-0_092086_2021-01-08_final
2021-01-09 08:51:47	ga_ls7e_ard_3-1-0_092087_2021-01-08_final
2021-01-09 08:52:11	ga_ls7e_ard_3-1-0_092088_2021-01-08_final
2021-01-09 08:52:35	ga_ls7e_ard_3-1-0_092089_2021-01-08_final
2021-01-09 10:23:29	ga_ls7e_ard_3-1-0_108069_2021-01-09_final
2021-01-09 10:23:53	ga_ls7e_ard_3-1-0_108070_2021-01-09_final
2021-01-09 10:24:17	ga_ls7e_ard_3-1-0_108071_2021-01-09_final
2021-01-09 10:24:41	ga_ls7e_ard_3-1-0_108072_2021-01-09_final
2021-01-09 10:25:04	ga_ls7e_ard_3-1-0_108073_2021-01-09_final
2021-01-09 10:25:28	ga_ls7e_ard_3-1-0_108074_2021-01-09_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-01-09 10:26:16	ga_ls7e_ard_3-1-0_108076_2021-01-09_final
2021-01-09 10:26:40	ga_ls7e_ard_3-1-0_108077_2021-01-09_final
2021-01-09 10:27:04	ga_ls7e_ard_3-1-0_108078_2021-01-09_final
2021-01-09 10:27:28	ga_ls7e_ard_3-1-0_108079_2021-01-09_final
2021-01-09 10:27:52	ga_ls7e_ard_3-1-0_108080_2021-01-09_final
2021-01-09 10:28:16	ga_ls7e_ard_3-1-0_108081_2021-01-09_final
2021-01-09 10:28:40	ga_ls7e_ard_3-1-0_108082_2021-01-09_final
2021-01-09 10:29:04	ga_ls7e_ard_3-1-0_108083_2021-01-09_final
2021-01-09 10:29:28	ga_ls7e_ard_3-1-0_108084_2021-01-09_final
2021-01-10 09:27:00	ga_ls7e_ard_3-1-0_099067_2021-01-09_final
2021-01-10 09:27:23	ga_ls7e_ard_3-1-0_099068_2021-01-09_final
2021-01-10 09:27:47	ga_ls7e_ard_3-1-0_099069_2021-01-09_final
2021-01-10 09:28:11	ga_ls7e_ard_3-1-0_099070_2021-01-09_final
2021-01-10 09:28:35	ga_ls7e_ard_3-1-0_099071_2021-01-09_final
2021-01-10 09:28:59	ga_ls7e_ard_3-1-0_099072_2021-01-09_final
2021-01-10 09:29:23	ga_ls7e_ard_3-1-0_099073_2021-01-09_final
2021-01-10 09:30:35	ga_ls7e_ard_3-1-0_099076_2021-01-10_final
2021-01-10 11:10:16	ga_ls7e_ard_3-1-0_115078_2021-01-10_final
2021-01-10 11:10:40	ga_ls7e_ard_3-1-0_115079_2021-01-10_final
2021-01-13 10:00:52	ga_ls7e_ard_3-1-0_104075_2021-01-13_final
2021-01-13 10:01:16	ga_ls7e_ard_3-1-0_104076_2021-01-13_final
2021-01-13 10:01:40	ga_ls7e_ard_3-1-0_104077_2021-01-13_final
2021-01-13 10:02:04	ga_ls7e_ard_3-1-0_104078_2021-01-13_final
2021-01-13 10:02:28	ga_ls7e_ard_3-1-0_104079_2021-01-13_final
2021-01-13 10:02:52	ga_ls7e_ard_3-1-0_104080_2021-01-13_final
2021-01-13 10:03:40	ga_ls7e_ard_3-1-0_104082_2021-01-13_final
2021-01-14 09:01:59	ga_ls7e_ard_3-1-0_095067_2021-01-13_final
2021-01-14 09:04:23	ga_ls7e_ard_3-1-0_095073_2021-01-13_final
2021-01-14 09:04:47	ga_ls7e_ard_3-2-0_095074_2021-01-13_final
2021-01-14 09:05:11	ga_ls7e_ard_3-1-0_095075_2021-01-13_final
2021-01-14 09:05:35	ga_ls7e_ard_3-1-0_095076_2021-01-13_final
2021-01-14 09:05:59	ga_ls7e_ard_3-1-0_095077_2021-01-13_final
2021-01-14 09:06:23	ga_ls7e_ard_3-1-0_095078_2021-01-13_final
2021-01-14 09:06:47	ga_ls7e_ard_3-1-0_095079_2021-01-13_final
2021-01-14 09:07:11	ga_ls7e_ard_3-1-0_095080_2021-01-13_final
2021-01-14 09:07:35	ga_ls7e_ard_3-1-0_095081_2021-01-13_final
2021-01-14 09:07:58	ga_ls7e_ard_3-1-0_095082_2021-01-13_final
2021-01-14 09:08:22	ga_ls7e_ard_3-1-0_095083_2021-01-13_final
2021-01-14 09:08:46	ga_ls7e_ard_3-1-0_095084_2021-01-13_final
2021-01-14 09:09:10	ga_ls7e_ard_3-1-0_095085_2021-01-13_final
2021-01-14 09:09:34	ga_ls7e_ard_3-1-0_095086_2021-01-13_final
2021-01-14 10:40:52	ga_ls7e_ard_3-1-0_111067_2021-01-14_final
2021-01-14 10:41:16	ga_ls7e_ard_3-1-0_111068_2021-01-14_final
2021-01-14 10:42:28	ga_ls7e_ard_3-1-0_111071_2021-01-14_final
2021-01-14 10:42:52	ga_ls7e_ard_3-1-0_111072_2021-01-14_final
2021-01-14 10:43:16	ga_ls7e_ard_3-1-0_111073_2021-01-14_final
2021-01-14 10:43:40	ga_ls7e_ard_3-1-0_111074_2021-01-14_final
2021-01-14 10:44:04	ga_ls7e_ard_3-1-0_111075_2021-01-14_final
2021-01-14 10:44:28	ga_ls7e_ard_3-1-0_111076_2021-01-14_final
2021-01-14 10:44:51	ga_ls7e_ard_3-1-0_111077_2021-01-14_final
2021-01-14 10:45:15	ga_ls7e_ard_3-1-0_111078_2021-01-14_final
2021-01-14 10:45:39	ga_ls7e_ard_3-1-0_111079_2021-01-14_final
2021-01-14 10:46:03	ga_ls7e_ard_3-1-0_111080_2021-01-14_final
2021-01-14 10:46:27	ga_ls7e_ard_3-1-0_111081_2021-01-14_final
2021-01-14 10:46:51	ga_ls7e_ard_3-1-0_111082_2021-01-14_final
2021-01-14 10:47:15	ga_ls7e_ard_3-1-0_111083_2021-01-14_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-15 09:45:35	ga_ls7e_ard_3-1-0_102068_2021-01-15_final
2021-01-15 09:45:59	ga_ls7e_ard_3-1-0_102069_2021-01-15_final
2021-01-15 09:46:22	ga_ls7e_ard_3-1-0_102070_2021-01-15_final
2021-01-15 09:46:46	ga_ls7e_ard_3-1-0_102071_2021-01-15_final
2021-01-15 09:47:10	ga_ls7e_ard_3-1-0_102072_2021-01-15_final
2021-01-15 09:47:34	ga_ls7e_ard_3-1-0_102073_2021-01-15_final
2021-01-15 09:47:58	ga_ls7e_ard_3-1-0_102074_2021-01-15_final
2021-01-15 09:48:22	ga_ls7e_ard_3-1-0_102075_2021-01-15_final
2021-01-15 09:48:46	ga_ls7e_ard_3-1-0_102076_2021-01-15_final
2021-01-15 09:49:10	ga_ls7e_ard_3-1-0_102077_2021-01-15_final
2021-01-15 09:49:34	ga_ls7e_ard_3-1-0_102078_2021-01-15_final
2021-01-15 09:49:58	ga_ls7e_ard_3-1-0_102079_2021-01-15_final

Return to ga_ls7e_ard_3 across 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

All months