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
2020-06-01 10:27:40	ga_ls7e_ard_3-1-0_106074_2020-06-01_final
2020-06-13 10:51:18	ga_ls7e_ard_3-1-0_110073_2020-06-13_final
2020-06-13 10:53:18	ga_ls7e_ard_3-1-0_110078_2020-06-13_final
2020-06-15 10:37:37	ga_ls7e_ard_3-1-0_108070_2020-06-15_final
2020-06-15 10:38:25	ga_ls7e_ard_3-1-0_108072_2020-06-15_final
2020-06-15 10:39:37	ga_ls7e_ard_3-1-0_108075_2020-06-15_final
2020-06-15 10:40:01	ga_ls7e_ard_3-1-0_108076_2020-06-15_final
2020-06-15 10:40:49	ga_ls7e_ard_3-1-0_108078_2020-06-15_final
2020-06-15 10:41:37	ga_ls7e_ard_3-1-0_108080_2020-06-15_final
2020-06-15 10:42:01	ga_ls7e_ard_3-1-0_108081_2020-06-15_final
2020-06-15 10:42:25	ga_ls7e_ard_3-1-0_108082_2020-06-15_final
2020-06-15 10:42:49	ga_ls7e_ard_3-1-0_108083_2020-06-15_final
2020-06-15 10:43:13	ga_ls7e_ard_3-1-0_108084_2020-06-15_final
2020-06-16 11:22:49	ga_ls7e_ard_3-1-0_115075_2020-06-16_final
2020-06-17 10:24:45	ga_ls7e_ard_3-1-0_106069_2020-06-17_final
2020-06-20 10:57:52	ga_ls7e_ard_3-1-0_111075_2020-06-20_final
2020-06-22 10:43:24	ga_ls7e_ard_3-1-0_109070_2020-06-22_final
2020-06-22 10:43:47	ga_ls7e_ard_3-1-0_109071_2020-06-22_final
2020-06-22 10:44:11	ga_ls7e_ard_3-1-0_109072_2020-06-22_final
2020-06-22 10:44:59	ga_ls7e_ard_3-1-0_109074_2020-06-22_final
2020-06-22 10:45:23	ga_ls7e_ard_3-1-0_109075_2020-06-22_final
2020-06-22 10:46:11	ga_ls7e_ard_3-1-0_109077_2020-06-22_final
2020-06-22 10:46:35	ga_ls7e_ard_3-1-0_109078_2020-06-22_final
2020-06-22 10:47:47	ga_ls7e_ard_3-1-0_109081_2020-06-22_final
2020-06-24 10:32:31	ga_ls7e_ard_3-1-0_107074_2020-06-24_final
2020-06-24 10:33:18	ga_ls7e_ard_3-1-0_107076_2020-06-24_final
2020-06-24 10:34:06	ga_ls7e_ard_3-1-0_107078_2020-06-24_final
2020-06-24 10:34:54	ga_ls7e_ard_3-1-0_107080_2020-06-24_final
2020-06-24 10:35:42	ga_ls7e_ard_3-1-0_107082_2020-06-24_final
2020-06-24 10:36:30	ga_ls7e_ard_3-1-0_107084_2020-06-24_final
2020-06-26 10:20:50	ga_ls7e_ard_3-1-0_105076_2020-06-26_final
2020-06-27 11:06:01	ga_ls7e_ard_3-1-0_112081_2020-06-27_final
2020-06-29 10:51:33	ga_ls7e_ard_3-1-0_110076_2020-06-29_final
2020-06-29 10:52:21	ga_ls7e_ard_3-1-0_110078_2020-06-29_final
2020-06-29 10:53:33	ga_ls7e_ard_3-1-0_110081_2020-06-29_final
2020-07-01 10:37:28	ga_ls7e_ard_3-1-0_108072_2020-07-01_final
2020-07-01 10:38:40	ga_ls7e_ard_3-1-0_108075_2020-07-01_final
2020-07-01 10:39:04	ga_ls7e_ard_3-1-0_108076_2020-07-01_final
2020-07-01 10:39:52	ga_ls7e_ard_3-1-0_108078_2020-07-01_final
2020-07-01 10:40:40	ga_ls7e_ard_3-1-0_108080_2020-07-01_final
2020-07-01 10:41:04	ga_ls7e_ard_3-1-0_108081_2020-07-01_final
2020-07-01 10:41:28	ga_ls7e_ard_3-1-0_108082_2020-07-01_final
2020-07-01 10:41:52	ga_ls7e_ard_3-1-0_108083_2020-07-01_final
2020-07-01 10:42:16	ga_ls7e_ard_3-1-0_108084_2020-07-01_final
2020-07-03 10:24:36	ga_ls7e_ard_3-1-0_106071_2020-07-03_final
2020-07-04 11:12:35	ga_ls7e_ard_3-1-0_113083_2020-07-04_final
2020-07-08 10:42:26	ga_ls7e_ard_3-1-0_109070_2020-07-08_final
2020-07-08 10:42:50	ga_ls7e_ard_3-1-0_109071_2020-07-08_final
2020-07-08 10:43:14	ga_ls7e_ard_3-1-0_109072_2020-07-08_final
2020-07-08 10:44:02	ga_ls7e_ard_3-1-0_109074_2020-07-08_final
2020-07-08 10:44:26	ga_ls7e_ard_3-1-0_109075_2020-07-08_final
2020-07-08 10:45:14	ga_ls7e_ard_3-1-0_109077_2020-07-08_final
2020-07-08 10:45:38	ga_ls7e_ard_3-1-0_109078_2020-07-08_final
2020-07-08 10:46:01	ga_ls7e_ard_3-1-0_109079_2020-07-08_final
2020-07-08 10:46:49	ga_ls7e_ard_3-1-0_109081_2020-07-08_final
2020-07-10 10:31:33	ga_ls7e_ard_3-1-0_107074_2020-07-10_final
2020-07-10 10:31:57	ga_ls7e_ard_3-1-0_107075_2020-07-10_final
2020-07-10 10:32:21	ga_ls7e_ard_3-1-0_107076_2020-07-10_final
2020-07-10 10:33:09	ga_ls7e_ard_3-1-0_107078_2020-07-10_final
2020-07-10 10:33:56	ga_ls7e_ard_3-1-0_107080_2020-07-10_final
2020-07-10 10:34:44	ga_ls7e_ard_3-1-0_107082_2020-07-10_final
2020-07-10 10:35:32	ga_ls7e_ard_3-1-0_107084_2020-07-10_final
2020-07-15 10:50:35	ga_ls7e_ard_3-1-0_110076_2020-07-15_final
2020-07-15 10:51:23	ga_ls7e_ard_3-1-0_110078_2020-07-15_final
2020-07-15 10:52:35	ga_ls7e_ard_3-1-0_110081_2020-07-15_final
2020-07-17 10:35:42	ga_ls7e_ard_3-1-0_108070_2020-07-17_final
2020-07-17 10:36:30	ga_ls7e_ard_3-1-0_108072_2020-07-17_final
2020-07-17 10:37:42	ga_ls7e_ard_3-1-0_108075_2020-07-17_final
2020-07-17 10:38:06	ga_ls7e_ard_3-1-0_108076_2020-07-17_final
2020-07-17 10:38:54	ga_ls7e_ard_3-1-0_108078_2020-07-17_final
2020-07-19 10:23:37	ga_ls7e_ard_3-1-0_106071_2020-07-19_final
2020-07-22 10:54:44	ga_ls7e_ard_3-1-0_111072_2020-07-22_final
2020-07-24 10:41:27	ga_ls7e_ard_3-1-0_109070_2020-07-24_final
2020-07-24 10:41:51	ga_ls7e_ard_3-1-0_109071_2020-07-24_final
2020-07-24 10:42:15	ga_ls7e_ard_3-1-0_109072_2020-07-24_final
2020-07-24 10:43:03	ga_ls7e_ard_3-1-0_109074_2020-07-24_final
2020-07-24 10:44:39	ga_ls7e_ard_3-1-0_109078_2020-07-24_final
2020-07-24 10:45:03	ga_ls7e_ard_3-1-0_109079_2020-07-24_final
2020-07-24 10:45:51	ga_ls7e_ard_3-1-0_109081_2020-07-24_final
2020-07-26 10:30:34	ga_ls7e_ard_3-1-0_107074_2020-07-26_final
2020-07-26 10:30:58	ga_ls7e_ard_3-1-0_107075_2020-07-26_final
2020-07-26 10:31:22	ga_ls7e_ard_3-1-0_107076_2020-07-26_final
2020-07-26 10:32:10	ga_ls7e_ard_3-1-0_107078_2020-07-26_final
2020-07-26 10:32:58	ga_ls7e_ard_3-1-0_107080_2020-07-26_final
2020-07-26 10:34:33	ga_ls7e_ard_3-1-0_107084_2020-07-26_final
2020-07-31 10:47:36	ga_ls7e_ard_3-1-0_110071_2020-07-31_final
2020-07-31 10:48:24	ga_ls7e_ard_3-1-0_110073_2020-07-31_final
2020-07-31 10:49:35	ga_ls7e_ard_3-1-0_110076_2020-07-31_final
2020-07-31 10:50:23	ga_ls7e_ard_3-1-0_110078_2020-07-31_final
2020-07-31 10:51:35	ga_ls7e_ard_3-1-0_110081_2020-07-31_final
2020-08-02 10:35:31	ga_ls7e_ard_3-1-0_108072_2020-08-02_final
2020-08-02 10:36:42	ga_ls7e_ard_3-1-0_108075_2020-08-02_final
2020-08-02 10:37:06	ga_ls7e_ard_3-1-0_108076_2020-08-02_final
2020-08-02 10:37:54	ga_ls7e_ard_3-1-0_108078_2020-08-02_final
2020-08-02 10:38:42	ga_ls7e_ard_3-1-0_108080_2020-08-02_final
2020-08-02 10:39:06	ga_ls7e_ard_3-1-0_108081_2020-08-02_final
2020-08-02 10:39:30	ga_ls7e_ard_3-1-0_108082_2020-08-02_final
2020-08-02 10:39:54	ga_ls7e_ard_3-1-0_108083_2020-08-02_final
2020-08-02 10:40:18	ga_ls7e_ard_3-1-0_108084_2020-08-02_final
2020-08-04 10:21:26	ga_ls7e_ard_3-1-0_106068_2020-08-04_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years