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
2020-08-09 10:40:27	ga_ls7e_ard_3-1-0_109070_2020-08-09_final
2020-08-09 10:42:03	ga_ls7e_ard_3-1-0_109074_2020-08-09_final
2020-08-09 10:44:03	ga_ls7e_ard_3-1-0_109079_2020-08-09_final
2020-08-09 10:44:50	ga_ls7e_ard_3-1-0_109081_2020-08-09_final
2020-08-10 09:46:22	ga_ls7e_ard_3-1-0_100074_2020-08-10_final
2020-08-10 09:47:34	ga_ls7e_ard_3-1-0_100077_2020-08-10_final
2020-08-11 10:27:58	ga_ls7e_ard_3-1-0_107070_2020-08-11_final
2020-08-11 10:29:10	ga_ls7e_ard_3-1-0_107073_2020-08-11_final
2020-08-11 10:30:45	ga_ls7e_ard_3-1-0_107077_2020-08-11_final
2020-08-11 10:31:09	ga_ls7e_ard_3-1-0_107078_2020-08-11_final
2020-08-12 11:09:58	ga_ls7e_ard_3-1-0_114067_2020-08-12_final
2020-08-12 11:13:09	ga_ls7e_ard_3-1-0_114075_2020-08-12_final
2020-08-12 11:13:57	ga_ls7e_ard_3-1-0_114077_2020-08-12_final
2020-08-12 11:14:21	ga_ls7e_ard_3-1-0_114078_2020-08-12_final
2020-08-14 11:01:04	ga_ls7e_ard_3-1-0_112076_2020-08-14_final
2020-08-14 11:01:52	ga_ls7e_ard_3-1-0_112078_2020-08-14_final
2020-08-14 11:03:04	ga_ls7e_ard_3-1-0_112081_2020-08-14_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 10:06:11	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 10:07:23	ga_ls7e_ard_3-1-0_103081_2020-08-15_final
2020-08-16 10:46:35	ga_ls7e_ard_3-1-0_110071_2020-08-16_final
2020-08-16 10:47:23	ga_ls7e_ard_3-1-0_110073_2020-08-16_final
2020-08-16 10:49:23	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 10:51:46	ga_ls7e_ard_3-1-0_110084_2020-08-16_final
2020-08-17 09:51:18	ga_ls7e_ard_3-1-0_101072_2020-08-17_final
2020-08-17 09:52:30	ga_ls7e_ard_3-1-0_101075_2020-08-17_final
2020-08-18 10:33:42	ga_ls7e_ard_3-1-0_108070_2020-08-18_final
2020-08-18 10:34:06	ga_ls7e_ard_3-1-0_108071_2020-08-18_final
2020-08-18 10:39:17	ga_ls7e_ard_3-1-0_108084_2020-08-18_final
2020-08-19 09:38:49	ga_ls7e_ard_3-1-0_099072_2020-08-19_final
2020-08-19 09:40:48	ga_ls7e_ard_3-1-0_099077_2020-08-19_final
2020-08-19 09:41:36	ga_ls7e_ard_3-1-0_099079_2020-08-19_final
2020-08-19 09:42:24	ga_ls7e_ard_3-1-0_099081_2020-08-19_final
2020-08-19 11:18:53	ga_ls7e_ard_3-1-0_115075_2020-08-19_final
2020-08-20 10:24:00	ga_ls7e_ard_3-1-0_106077_2020-08-20_final
2020-08-20 10:26:00	ga_ls7e_ard_3-1-0_106082_2020-08-20_final
2020-08-21 11:03:13	ga_ls7e_ard_3-1-0_113067_2020-08-21_final
2020-08-21 11:06:24	ga_ls7e_ard_3-1-0_113075_2020-08-21_final
2020-08-21 11:07:12	ga_ls7e_ard_3-1-0_113077_2020-08-21_final
2020-08-21 11:10:00	ga_ls7e_ard_3-1-0_113084_2020-08-21_final
2020-08-22 10:08:19	ga_ls7e_ard_3-1-0_104069_2020-08-22_final
2020-08-22 10:09:55	ga_ls7e_ard_3-1-0_104073_2020-08-22_final
2020-08-22 10:12:19	ga_ls7e_ard_3-1-0_104079_2020-08-22_final
2020-08-23 10:52:19	ga_ls7e_ard_3-1-0_111071_2020-08-23_final
2020-08-23 10:53:07	ga_ls7e_ard_3-1-0_111073_2020-08-23_final
2020-08-23 10:54:19	ga_ls7e_ard_3-1-0_111076_2020-08-23_final
2020-08-23 10:57:30	ga_ls7e_ard_3-1-0_111084_2020-08-23_final
2020-08-24 09:56:38	ga_ls7e_ard_3-1-0_102071_2020-08-24_final
2020-08-24 09:57:50	ga_ls7e_ard_3-1-0_102074_2020-08-24_final
2020-08-25 10:39:26	ga_ls7e_ard_3-1-0_109070_2020-08-25_final
2020-08-25 10:40:13	ga_ls7e_ard_3-1-0_109072_2020-08-25_final
2020-08-25 10:41:01	ga_ls7e_ard_3-1-0_109074_2020-08-25_final
2020-08-25 10:42:37	ga_ls7e_ard_3-1-0_109078_2020-08-25_final
2020-08-26 09:44:56	ga_ls7e_ard_3-1-0_100073_2020-08-26_final
2020-08-26 09:45:20	ga_ls7e_ard_3-1-0_100074_2020-08-26_final
2020-08-26 09:46:32	ga_ls7e_ard_3-1-0_100077_2020-08-26_final
2020-08-26 09:48:08	ga_ls7e_ard_3-1-0_100081_2020-08-26_final
2020-08-26 09:48:32	ga_ls7e_ard_3-1-0_100082_2020-08-26_final
2020-08-27 10:27:44	ga_ls7e_ard_3-1-0_107072_2020-08-27_final
2020-08-27 10:28:08	ga_ls7e_ard_3-1-0_107073_2020-08-27_final
2020-08-27 10:28:56	ga_ls7e_ard_3-1-0_107075_2020-08-27_final
2020-08-27 10:31:20	ga_ls7e_ard_3-1-0_107081_2020-08-27_final
2020-08-27 10:31:43	ga_ls7e_ard_3-1-0_107082_2020-08-27_final
2020-08-28 09:35:14	ga_ls7e_ard_3-1-0_098080_2020-08-28_final
2020-08-28 11:08:56	ga_ls7e_ard_3-1-0_114067_2020-08-28_final
2020-08-28 11:11:44	ga_ls7e_ard_3-1-0_114074_2020-08-28_final
2020-08-28 11:12:08	ga_ls7e_ard_3-1-0_114075_2020-08-28_final
2020-08-28 11:12:55	ga_ls7e_ard_3-1-0_114077_2020-08-28_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-08-29 10:13:39	ga_ls7e_ard_3-1-0_105068_2020-08-29_final
2020-08-29 10:19:14	ga_ls7e_ard_3-1-0_105082_2020-08-29_final
2020-08-30 10:56:27	ga_ls7e_ard_3-1-0_112067_2020-08-30_final
2020-08-30 10:59:38	ga_ls7e_ard_3-1-0_112075_2020-08-30_final
2020-08-30 11:00:02	ga_ls7e_ard_3-1-0_112076_2020-08-30_final
2020-08-30 11:00:50	ga_ls7e_ard_3-1-0_112078_2020-08-30_final
2020-08-30 11:01:14	ga_ls7e_ard_3-1-0_112079_2020-08-30_final
2020-08-31 10:01:09	ga_ls7e_ard_3-1-0_103068_2020-08-31_final
2020-08-31 10:02:21	ga_ls7e_ard_3-1-0_103071_2020-08-31_final
2020-08-31 10:02:45	ga_ls7e_ard_3-1-0_103072_2020-08-31_final
2020-08-31 10:05:09	ga_ls7e_ard_3-1-0_103078_2020-08-31_final
2020-08-31 10:05:33	ga_ls7e_ard_3-1-0_103079_2020-08-31_final
2020-08-31 10:06:21	ga_ls7e_ard_3-1-0_103081_2020-08-31_final
2020-09-01 10:45:33	ga_ls7e_ard_3-1-0_110071_2020-09-01_final
2020-09-01 10:48:21	ga_ls7e_ard_3-1-0_110078_2020-09-01_final
2020-09-01 10:48:44	ga_ls7e_ard_3-1-0_110079_2020-09-01_final
2020-09-01 10:50:20	ga_ls7e_ard_3-1-0_110083_2020-09-01_final
2020-09-02 09:49:52	ga_ls7e_ard_3-1-0_101071_2020-09-02_final
2020-09-02 09:51:28	ga_ls7e_ard_3-1-0_101075_2020-09-02_final
2020-09-02 09:52:39	ga_ls7e_ard_3-1-0_101078_2020-09-02_final
2020-09-02 09:54:39	ga_ls7e_ard_3-1-0_101083_2020-09-02_final
2020-09-03 10:32:40	ga_ls7e_ard_3-1-0_108070_2020-09-03_final
2020-09-03 10:33:03	ga_ls7e_ard_3-1-0_108071_2020-09-03_final
2020-09-03 10:34:39	ga_ls7e_ard_3-1-0_108075_2020-09-03_final
2020-09-03 10:36:39	ga_ls7e_ard_3-1-0_108080_2020-09-03_final
2020-09-03 10:37:27	ga_ls7e_ard_3-1-0_108082_2020-09-03_final
2020-09-03 10:38:15	ga_ls7e_ard_3-1-0_108084_2020-09-03_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years