Search ga_ls7e_ard_3 whole collection

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
2015-07-21 10:11:16	ga_ls7e_ard_3-0-0_099073_2015-07-21_final
2015-07-21 10:11:40	ga_ls7e_ard_3-0-0_099074_2015-07-21_final
2015-07-23 10:02:30	ga_ls7e_ard_3-0-0_097082_2015-07-23_final
2015-07-23 10:02:54	ga_ls7e_ard_3-0-0_097083_2015-07-23_final
2015-07-23 10:03:18	ga_ls7e_ard_3-0-0_097084_2015-07-23_final
2015-07-23 10:03:42	ga_ls7e_ard_3-0-0_097085_2015-07-23_final
2015-08-15 10:06:23	ga_ls7e_ard_3-0-0_098076_2015-08-15_final
2015-08-15 10:06:47	ga_ls7e_ard_3-0-0_098077_2015-08-15_final
2015-08-15 10:07:11	ga_ls7e_ard_3-0-0_098078_2015-08-15_final
2015-08-15 10:07:35	ga_ls7e_ard_3-0-0_098079_2015-08-15_final
2015-08-15 10:07:59	ga_ls7e_ard_3-0-0_098080_2015-08-15_final
2015-08-15 10:08:23	ga_ls7e_ard_3-0-0_098081_2015-08-15_final
2015-08-15 10:08:47	ga_ls7e_ard_3-0-0_098082_2015-08-15_final
2015-08-17 09:57:13	ga_ls7e_ard_3-0-0_096084_2015-08-17_final
2015-08-17 09:57:37	ga_ls7e_ard_3-0-0_096085_2015-08-17_final
2015-08-17 09:58:01	ga_ls7e_ard_3-1-0_096086_2015-08-17_final
2015-09-16 10:06:28	ga_ls7e_ard_3-0-0_098076_2015-09-16_final
2015-09-16 10:06:52	ga_ls7e_ard_3-0-0_098077_2015-09-16_final
2015-09-16 10:07:16	ga_ls7e_ard_3-0-0_098078_2015-09-16_final
2015-09-16 10:08:04	ga_ls7e_ard_3-1-0_098080_2015-09-16_final
2015-09-16 10:08:28	ga_ls7e_ard_3-0-0_098081_2015-09-16_final
2015-09-16 10:08:52	ga_ls7e_ard_3-0-0_098082_2015-09-16_final
2015-11-10 10:11:20	ga_ls7e_ard_3-0-0_099071_2015-11-10_final
2015-11-10 10:11:44	ga_ls7e_ard_3-0-0_099072_2015-11-10_final
2015-11-10 10:12:08	ga_ls7e_ard_3-0-0_099073_2015-11-10_final
2015-11-10 10:12:32	ga_ls7e_ard_3-0-0_099074_2015-11-10_final
2015-11-10 10:12:56	ga_ls7e_ard_3-0-0_099075_2015-11-10_final
2015-11-10 10:13:20	ga_ls7e_ard_3-0-0_099076_2015-11-10_final
2015-11-10 10:13:44	ga_ls7e_ard_3-0-0_099077_2015-11-10_final
2015-11-12 10:02:37	ga_ls7e_ard_3-0-0_097080_2015-11-12_final
2015-11-12 10:03:01	ga_ls7e_ard_3-0-0_097081_2015-11-12_final
2015-11-12 10:03:25	ga_ls7e_ard_3-0-0_097082_2015-11-12_final
2015-11-12 10:03:48	ga_ls7e_ard_3-0-0_097083_2015-11-12_final
2015-11-12 10:04:12	ga_ls7e_ard_3-0-0_097084_2015-11-12_final
2015-11-12 10:04:36	ga_ls7e_ard_3-0-0_097085_2015-11-12_final
2017-03-20 10:13:19	ga_ls7e_ard_3-0-0_099072_2017-03-20_final
2017-03-20 10:13:43	ga_ls7e_ard_3-0-0_099073_2017-03-20_final
2017-03-20 10:14:07	ga_ls7e_ard_3-0-0_099074_2017-03-20_final
2017-03-20 10:14:31	ga_ls7e_ard_3-0-0_099075_2017-03-20_final
2017-03-20 10:14:55	ga_ls7e_ard_3-0-0_099076_2017-03-20_final
2017-03-20 10:15:19	ga_ls7e_ard_3-0-0_099077_2017-03-20_final
2017-03-22 10:04:10	ga_ls7e_ard_3-0-0_097080_2017-03-22_final
2017-03-22 10:04:34	ga_ls7e_ard_3-0-0_097081_2017-03-22_final
2017-03-22 10:04:58	ga_ls7e_ard_3-0-0_097082_2017-03-22_final
2017-03-22 10:05:22	ga_ls7e_ard_3-0-0_097083_2017-03-22_final
2017-03-24 09:54:36	ga_ls7e_ard_3-0-0_095087_2017-03-24_final
2017-04-21 10:13:07	ga_ls7e_ard_3-0-0_099071_2017-04-21_final
2017-04-21 10:13:31	ga_ls7e_ard_3-0-0_099072_2017-04-21_final
2017-04-21 10:13:54	ga_ls7e_ard_3-0-0_099073_2017-04-21_final
2017-04-21 10:14:18	ga_ls7e_ard_3-0-0_099074_2017-04-21_final
2017-04-21 10:14:42	ga_ls7e_ard_3-0-0_099075_2017-04-21_final
2017-04-21 10:15:06	ga_ls7e_ard_3-0-0_099076_2017-04-21_final
2017-04-21 10:15:30	ga_ls7e_ard_3-0-0_099077_2017-04-21_final
2017-04-23 10:04:21	ga_ls7e_ard_3-0-0_097080_2017-04-23_final
2017-04-23 10:04:45	ga_ls7e_ard_3-0-0_097081_2017-04-23_final
2017-04-23 10:05:33	ga_ls7e_ard_3-0-0_097083_2017-04-23_final
2017-04-23 10:05:57	ga_ls7e_ard_3-0-0_097084_2017-04-23_final
2017-04-28 10:19:20	ga_ls7e_ard_3-0-0_100071_2017-04-28_final
2017-04-28 10:19:44	ga_ls7e_ard_3-0-0_100072_2017-04-28_final
2017-04-28 10:20:08	ga_ls7e_ard_3-0-0_100073_2017-04-28_final
2017-04-30 10:08:58	ga_ls7e_ard_3-0-0_098076_2017-04-30_final
2017-04-30 10:09:22	ga_ls7e_ard_3-0-0_098077_2017-04-30_final
2017-04-30 10:09:46	ga_ls7e_ard_3-0-0_098078_2017-04-30_final
2017-04-30 10:10:10	ga_ls7e_ard_3-0-0_098079_2017-04-30_final
2017-04-30 10:10:34	ga_ls7e_ard_3-1-0_098080_2017-04-30_final
2017-04-30 10:10:58	ga_ls7e_ard_3-0-0_098081_2017-04-30_final
2017-04-30 10:11:22	ga_ls7e_ard_3-0-0_098082_2017-04-30_final
2017-05-02 09:59:49	ga_ls7e_ard_3-0-0_096084_2017-05-02_final
2017-05-02 10:00:13	ga_ls7e_ard_3-0-0_096085_2017-05-02_final
2017-05-02 10:00:37	ga_ls7e_ard_3-1-0_096086_2017-05-02_final
2017-05-27 09:54:55	ga_ls7e_ard_3-0-0_095087_2017-05-27_final
2017-05-30 10:19:27	ga_ls7e_ard_3-0-0_100071_2017-05-30_final
2017-05-30 10:19:51	ga_ls7e_ard_3-0-0_100072_2017-05-30_final
2017-05-30 10:20:15	ga_ls7e_ard_3-0-0_100073_2017-05-30_final
2017-06-08 10:13:19	ga_ls7e_ard_3-0-0_099071_2017-06-08_final
2017-06-08 10:13:43	ga_ls7e_ard_3-0-0_099072_2017-06-08_final
2017-06-08 10:14:07	ga_ls7e_ard_3-0-0_099073_2017-06-08_final
2017-06-08 10:14:31	ga_ls7e_ard_3-0-0_099074_2017-06-08_final
2017-06-08 10:14:54	ga_ls7e_ard_3-0-0_099075_2017-06-08_final
2017-06-08 10:15:18	ga_ls7e_ard_3-0-0_099076_2017-06-08_final
2017-06-08 10:15:42	ga_ls7e_ard_3-0-0_099077_2017-06-08_final
2017-06-10 10:04:33	ga_ls7e_ard_3-0-0_097080_2017-06-10_final
2017-06-10 10:04:57	ga_ls7e_ard_3-0-0_097081_2017-06-10_final
2017-06-10 10:05:21	ga_ls7e_ard_3-0-0_097082_2017-06-10_final
2017-06-10 10:05:45	ga_ls7e_ard_3-0-0_097083_2017-06-10_final
2017-06-10 10:06:09	ga_ls7e_ard_3-0-0_097084_2017-06-10_final
2017-06-10 10:06:33	ga_ls7e_ard_3-0-0_097085_2017-06-10_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-07-10 10:13:23	ga_ls7e_ard_3-0-0_099071_2017-07-10_final
2017-07-10 10:13:47	ga_ls7e_ard_3-0-0_099072_2017-07-10_final
2017-07-10 10:14:11	ga_ls7e_ard_3-0-0_099073_2017-07-10_final
2017-07-10 10:14:35	ga_ls7e_ard_3-0-0_099074_2017-07-10_final
2017-07-10 10:14:59	ga_ls7e_ard_3-0-0_099075_2017-07-10_final
2017-07-12 10:04:37	ga_ls7e_ard_3-0-0_097080_2017-07-12_final
2017-07-12 10:05:01	ga_ls7e_ard_3-0-0_097081_2017-07-12_final
2017-07-12 10:05:25	ga_ls7e_ard_3-0-0_097082_2017-07-12_final
2017-07-12 10:05:49	ga_ls7e_ard_3-0-0_097083_2017-07-12_final
2017-07-12 10:06:13	ga_ls7e_ard_3-0-0_097084_2017-07-12_final
2017-07-12 10:06:37	ga_ls7e_ard_3-0-0_097085_2017-07-12_final
2017-07-14 09:55:03	ga_ls7e_ard_3-0-0_095087_2017-07-14_final

Return to ga_ls7e_ard_3 whole collection 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

All years