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
2000-04-04 10:17:32	ga_ls7e_ard_3-1-0_101076_2000-04-04_final
2002-04-09 09:29:50	ga_ls7e_ard_3-1-0_094074_2002-04-08_final
2020-06-13 09:13:37	ga_ls7e_ard_3-1-0_094076_2020-06-12_final
2020-06-13 09:16:25	ga_ls7e_ard_3-1-0_094083_2020-06-12_final
2020-06-14 09:56:25	ga_ls7e_ard_3-1-0_101075_2020-06-14_final
2020-06-15 09:03:56	ga_ls7e_ard_3-1-0_092083_2020-06-14_final
2020-06-15 10:37:14	ga_ls7e_ard_3-1-0_108069_2020-06-15_final
2020-06-15 10:37:37	ga_ls7e_ard_3-1-0_108070_2020-06-15_final
2020-06-15 10:38:01	ga_ls7e_ard_3-1-0_108071_2020-06-15_final
2020-06-15 10:38:25	ga_ls7e_ard_3-1-0_108072_2020-06-15_final
2020-06-17 10:24:21	ga_ls7e_ard_3-1-0_106068_2020-06-17_final
2020-06-17 10:28:44	ga_ls7e_ard_3-1-0_106079_2020-06-17_final
2020-06-21 09:59:48	ga_ls7e_ard_3-1-0_102069_2020-06-21_final
2020-06-21 10:01:47	ga_ls7e_ard_3-1-0_102074_2020-06-21_final
2020-06-21 10:02:35	ga_ls7e_ard_3-1-0_102076_2020-06-21_final
2020-06-21 10:02:59	ga_ls7e_ard_3-1-0_102077_2020-06-21_final
2020-06-21 10:04:11	ga_ls7e_ard_3-1-0_102080_2020-06-21_final
2020-06-21 10:04:35	ga_ls7e_ard_3-1-0_102081_2020-06-21_final
2020-06-22 09:06:30	ga_ls7e_ard_3-1-0_093075_2020-06-21_final
2020-06-22 09:07:18	ga_ls7e_ard_3-1-0_093077_2020-06-21_final
2020-06-22 09:07:42	ga_ls7e_ard_3-1-0_093078_2020-06-21_final
2020-06-22 09:08:30	ga_ls7e_ard_3-1-0_093080_2020-06-21_final
2020-06-22 09:09:18	ga_ls7e_ard_3-1-0_093082_2020-06-21_final
2020-06-23 09:48:31	ga_ls7e_ard_3-1-0_100072_2020-06-23_final
2020-06-23 09:48:55	ga_ls7e_ard_3-1-0_100073_2020-06-23_final
2020-06-23 09:50:30	ga_ls7e_ard_3-1-0_100077_2020-06-23_final
2020-06-23 09:50:54	ga_ls7e_ard_3-1-0_100078_2020-06-23_final
2020-06-23 09:51:18	ga_ls7e_ard_3-1-0_100079_2020-06-23_final
2020-06-24 10:32:54	ga_ls7e_ard_3-1-0_107075_2020-06-24_final
2020-06-24 10:33:42	ga_ls7e_ard_3-1-0_107077_2020-06-24_final
2020-06-24 10:34:30	ga_ls7e_ard_3-1-0_107079_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 10:36:06	ga_ls7e_ard_3-1-0_107083_2020-06-24_final
2020-06-24 10:36:30	ga_ls7e_ard_3-1-0_107084_2020-06-24_final
2020-06-29 09:11:28	ga_ls7e_ard_3-1-0_094073_2020-06-28_final
2020-06-29 09:12:40	ga_ls7e_ard_3-1-0_094076_2020-06-28_final
2020-06-29 09:15:28	ga_ls7e_ard_3-1-0_094083_2020-06-28_final
2020-06-30 09:55:28	ga_ls7e_ard_3-1-0_101075_2020-06-30_final
2020-07-01 10:36:17	ga_ls7e_ard_3-1-0_108069_2020-07-01_final
2020-07-01 10:36:41	ga_ls7e_ard_3-1-0_108070_2020-07-01_final
2020-07-01 10:37:04	ga_ls7e_ard_3-1-0_108071_2020-07-01_final
2020-07-01 10:37:52	ga_ls7e_ard_3-1-0_108073_2020-07-01_final
2020-07-03 10:23:24	ga_ls7e_ard_3-1-0_106068_2020-07-03_final
2020-07-03 10:28:59	ga_ls7e_ard_3-1-0_106082_2020-07-03_final
2020-07-07 09:58:50	ga_ls7e_ard_3-1-0_102069_2020-07-07_final
2020-07-07 10:00:50	ga_ls7e_ard_3-1-0_102074_2020-07-07_final
2020-07-07 10:01:38	ga_ls7e_ard_3-1-0_102076_2020-07-07_final
2020-07-07 10:02:02	ga_ls7e_ard_3-1-0_102077_2020-07-07_final
2020-07-07 10:03:13	ga_ls7e_ard_3-1-0_102080_2020-07-07_final
2020-07-07 10:03:37	ga_ls7e_ard_3-1-0_102081_2020-07-07_final
2020-07-08 09:05:33	ga_ls7e_ard_3-1-0_093075_2020-07-07_final
2020-07-08 09:06:21	ga_ls7e_ard_3-1-0_093077_2020-07-07_final
2020-07-08 09:06:45	ga_ls7e_ard_3-1-0_093078_2020-07-07_final
2020-07-08 09:08:21	ga_ls7e_ard_3-1-0_093082_2020-07-07_final
2020-07-08 09:08:44	ga_ls7e_ard_3-1-0_093083_2020-07-07_final
2020-07-08 09:09:08	ga_ls7e_ard_3-1-0_093084_2020-07-07_final
2020-07-09 09:47:09	ga_ls7e_ard_3-1-0_100071_2020-07-09_final
2020-07-09 09:47:33	ga_ls7e_ard_3-1-0_100072_2020-07-09_final
2020-07-09 09:47:57	ga_ls7e_ard_3-1-0_100073_2020-07-09_final
2020-07-09 09:51:56	ga_ls7e_ard_3-1-0_100083_2020-07-09_final
2020-07-10 10:29:57	ga_ls7e_ard_3-1-0_107070_2020-07-10_final
2020-07-10 10:32:45	ga_ls7e_ard_3-1-0_107077_2020-07-10_final
2020-07-10 10:33:33	ga_ls7e_ard_3-1-0_107079_2020-07-10_final
2020-07-10 10:33:56	ga_ls7e_ard_3-1-0_107080_2020-07-10_final
2020-07-10 10:34:20	ga_ls7e_ard_3-1-0_107081_2020-07-10_final
2020-07-10 10:34:44	ga_ls7e_ard_3-1-0_107082_2020-07-10_final
2020-07-10 10:35:08	ga_ls7e_ard_3-1-0_107083_2020-07-10_final
2020-07-10 10:35:32	ga_ls7e_ard_3-1-0_107084_2020-07-10_final
2020-07-14 10:04:11	ga_ls7e_ard_3-1-0_103068_2020-07-14_final
2020-07-15 09:11:42	ga_ls7e_ard_3-1-0_094076_2020-07-14_final
2020-07-15 09:14:30	ga_ls7e_ard_3-1-0_094083_2020-07-14_final
2020-07-15 09:15:42	ga_ls7e_ard_3-1-0_094086_2020-07-14_final
2020-07-17 10:35:18	ga_ls7e_ard_3-1-0_108069_2020-07-17_final
2020-07-17 10:35:42	ga_ls7e_ard_3-1-0_108070_2020-07-17_final
2020-07-17 10:36:06	ga_ls7e_ard_3-1-0_108071_2020-07-17_final
2020-07-18 09:43:13	ga_ls7e_ard_3-1-0_099078_2020-07-18_final
2020-07-19 10:22:25	ga_ls7e_ard_3-1-0_106068_2020-07-19_final
2020-07-23 09:57:51	ga_ls7e_ard_3-1-0_102069_2020-07-23_final
2020-07-23 09:59:51	ga_ls7e_ard_3-1-0_102074_2020-07-23_final
2020-07-23 10:00:39	ga_ls7e_ard_3-1-0_102076_2020-07-23_final
2020-07-23 10:02:39	ga_ls7e_ard_3-1-0_102081_2020-07-23_final
2020-07-25 09:46:10	ga_ls7e_ard_3-1-0_100071_2020-07-25_final
2020-07-25 09:48:34	ga_ls7e_ard_3-1-0_100077_2020-07-25_final
2020-07-25 09:49:22	ga_ls7e_ard_3-1-0_100079_2020-07-25_final
2020-07-25 09:50:58	ga_ls7e_ard_3-1-0_100083_2020-07-25_final
2020-07-25 09:51:21	ga_ls7e_ard_3-1-0_100084_2020-07-25_final
2020-07-26 10:28:58	ga_ls7e_ard_3-1-0_107070_2020-07-26_final
2020-07-26 10:30:58	ga_ls7e_ard_3-1-0_107075_2020-07-26_final
2020-07-26 10:32:34	ga_ls7e_ard_3-1-0_107079_2020-07-26_final
2020-07-26 10:32:58	ga_ls7e_ard_3-1-0_107080_2020-07-26_final
2020-07-26 10:34:09	ga_ls7e_ard_3-1-0_107083_2020-07-26_final
2020-07-26 10:34:33	ga_ls7e_ard_3-1-0_107084_2020-07-26_final
2020-07-30 10:03:12	ga_ls7e_ard_3-1-0_103068_2020-07-30_final
2020-07-31 09:07:07	ga_ls7e_ard_3-1-0_094067_2020-07-30_final
2020-07-31 09:09:31	ga_ls7e_ard_3-1-0_094073_2020-07-30_final
2020-07-31 09:13:30	ga_ls7e_ard_3-1-0_094083_2020-07-30_final
2020-07-31 09:14:42	ga_ls7e_ard_3-1-0_094086_2020-07-30_final
2020-08-02 10:34:19	ga_ls7e_ard_3-1-0_108069_2020-08-02_final
2020-08-02 10:34:43	ga_ls7e_ard_3-1-0_108070_2020-08-02_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