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

85 results

Time (local)	Label
2020-05-20 10:02:52	ga_ls7e_ard_3-1-0_102072_2020-05-20_final
2020-05-20 10:05:16	ga_ls7e_ard_3-1-0_102078_2020-05-20_final
2020-05-21 09:11:11	ga_ls7e_ard_3-1-0_093082_2020-05-20_final
2020-05-21 09:13:35	ga_ls7e_ard_3-1-0_093088_2020-05-20_final
2020-05-21 10:48:52	ga_ls7e_ard_3-1-0_109079_2020-05-21_final
2020-05-22 09:53:11	ga_ls7e_ard_3-1-0_100079_2020-05-22_final
2020-05-23 09:01:29	ga_ls7e_ard_3-1-0_091089_2020-05-22_final
2020-05-23 10:36:23	ga_ls7e_ard_3-1-0_107079_2020-05-23_final
2020-05-23 10:38:22	ga_ls7e_ard_3-1-0_107084_2020-05-23_final
2020-05-24 09:38:42	ga_ls7e_ard_3-1-0_098074_2020-05-24_final
2020-05-24 11:17:35	ga_ls7e_ard_3-1-0_114074_2020-05-24_final
2020-05-24 11:17:59	ga_ls7e_ard_3-1-0_114075_2020-05-24_final
2020-05-24 11:18:23	ga_ls7e_ard_3-1-0_114076_2020-05-24_final
2020-05-25 08:45:01	ga_ls7e_ard_3-1-0_089079_2020-05-24_final
2020-05-25 10:21:06	ga_ls7e_ard_3-1-0_105072_2020-05-25_final
2020-05-26 09:23:25	ga_ls7e_ard_3-1-0_096067_2020-05-25_final
2020-05-26 09:26:13	ga_ls7e_ard_3-1-0_096074_2020-05-25_final
2020-05-26 11:05:54	ga_ls7e_ard_3-1-0_112076_2020-05-26_final
2020-05-26 11:07:53	ga_ls7e_ard_3-1-0_112081_2020-05-26_final
2020-05-26 11:08:41	ga_ls7e_ard_3-1-0_112083_2020-05-26_final
2020-05-27 10:07:01	ga_ls7e_ard_3-1-0_103068_2020-05-27_final
2020-05-27 10:08:13	ga_ls7e_ard_3-1-0_103071_2020-05-27_final
2020-05-28 09:16:56	ga_ls7e_ard_3-1-0_094082_2020-05-27_final
2020-05-28 10:53:49	ga_ls7e_ard_3-1-0_110077_2020-05-28_final
2020-05-28 10:55:01	ga_ls7e_ard_3-1-0_110080_2020-05-28_final
2020-05-30 09:02:04	ga_ls7e_ard_3-1-0_092076_2020-05-29_final
2020-05-30 09:04:03	ga_ls7e_ard_3-1-0_092081_2020-05-29_final
2020-05-30 10:38:09	ga_ls7e_ard_3-1-0_108069_2020-05-30_final
2020-05-31 09:45:40	ga_ls7e_ard_3-1-0_099077_2020-05-31_final
2020-05-31 11:23:45	ga_ls7e_ard_3-1-0_115075_2020-05-31_final
2020-05-31 11:24:57	ga_ls7e_ard_3-1-0_115078_2020-05-31_final
2020-05-31 11:25:21	ga_ls7e_ard_3-1-0_115079_2020-05-31_final
2020-06-01 08:49:59	ga_ls7e_ard_3-1-0_090077_2020-05-31_final
2020-06-01 08:51:11	ga_ls7e_ard_3-1-0_090080_2020-05-31_final
2020-06-01 10:25:41	ga_ls7e_ard_3-1-0_106069_2020-06-01_final
2020-06-01 10:26:04	ga_ls7e_ard_3-1-0_106070_2020-06-01_final
2020-06-01 10:29:16	ga_ls7e_ard_3-1-0_106078_2020-06-01_final
2020-06-02 09:33:11	ga_ls7e_ard_3-1-0_097077_2020-06-02_final
2020-06-02 11:10:52	ga_ls7e_ard_3-1-0_113074_2020-06-02_final
2020-06-02 11:12:52	ga_ls7e_ard_3-1-0_113079_2020-06-02_final
2020-06-02 11:13:16	ga_ls7e_ard_3-1-0_113080_2020-06-02_final
2020-06-02 11:13:40	ga_ls7e_ard_3-1-0_113081_2020-06-02_final
2020-06-02 11:14:04	ga_ls7e_ard_3-1-0_113082_2020-06-02_final
2020-06-02 11:14:52	ga_ls7e_ard_3-1-0_113084_2020-06-02_final
2020-06-03 10:14:00	ga_ls7e_ard_3-1-0_104071_2020-06-03_final
2020-06-04 09:20:19	ga_ls7e_ard_3-1-0_095076_2020-06-03_final
2020-06-04 09:22:19	ga_ls7e_ard_3-1-0_095081_2020-06-03_final
2020-06-04 10:55:36	ga_ls7e_ard_3-1-0_111067_2020-06-04_final
2020-06-04 10:58:24	ga_ls7e_ard_3-1-0_111074_2020-06-04_final
2020-06-04 11:01:59	ga_ls7e_ard_3-1-0_111083_2020-06-04_final
2020-06-05 10:01:55	ga_ls7e_ard_3-1-0_102072_2020-06-05_final
2020-06-05 10:04:19	ga_ls7e_ard_3-1-0_102078_2020-06-05_final
2020-06-06 09:07:27	ga_ls7e_ard_3-1-0_093075_2020-06-05_final
2020-06-06 09:10:14	ga_ls7e_ard_3-1-0_093082_2020-06-05_final
2020-06-06 09:12:38	ga_ls7e_ard_3-1-0_093088_2020-06-05_final
2020-06-06 10:45:31	ga_ls7e_ard_3-1-0_109073_2020-06-06_final
2020-06-06 10:49:55	ga_ls7e_ard_3-1-0_109084_2020-06-06_final
2020-06-07 09:49:51	ga_ls7e_ard_3-1-0_100073_2020-06-07_final
2020-06-07 09:52:14	ga_ls7e_ard_3-1-0_100079_2020-06-07_final
2020-06-08 09:00:57	ga_ls7e_ard_3-1-0_091090_2020-06-07_final
2020-06-08 10:31:51	ga_ls7e_ard_3-1-0_107070_2020-06-08_final
2020-06-08 10:32:15	ga_ls7e_ard_3-1-0_107071_2020-06-08_final
2020-06-08 10:33:03	ga_ls7e_ard_3-1-0_107073_2020-06-08_final
2020-06-08 10:33:27	ga_ls7e_ard_3-1-0_107074_2020-06-08_final
2020-06-08 10:37:26	ga_ls7e_ard_3-1-0_107084_2020-06-08_final
2020-06-09 09:34:59	ga_ls7e_ard_3-1-0_098067_2020-06-09_final
2020-06-09 09:37:46	ga_ls7e_ard_3-1-0_098074_2020-06-09_final
2020-06-09 11:13:52	ga_ls7e_ard_3-1-0_114067_2020-06-09_final
2020-06-09 11:16:39	ga_ls7e_ard_3-1-0_114074_2020-06-09_final
2020-06-09 11:17:03	ga_ls7e_ard_3-1-0_114075_2020-06-09_final
2020-06-09 11:17:27	ga_ls7e_ard_3-1-0_114076_2020-06-09_final
2020-06-09 11:17:51	ga_ls7e_ard_3-1-0_114077_2020-06-09_final
2020-06-09 11:18:15	ga_ls7e_ard_3-1-0_114078_2020-06-09_final
2020-06-09 11:18:39	ga_ls7e_ard_3-1-0_114079_2020-06-09_final
2020-06-09 11:19:03	ga_ls7e_ard_3-1-0_114080_2020-06-09_final
2020-06-10 10:19:23	ga_ls7e_ard_3-1-0_105070_2020-06-10_final
2020-06-11 11:04:10	ga_ls7e_ard_3-1-0_112074_2020-06-11_final
2020-06-11 11:04:34	ga_ls7e_ard_3-1-0_112075_2020-06-11_final
2020-06-11 11:05:22	ga_ls7e_ard_3-1-0_112077_2020-06-11_final
2020-06-11 11:05:46	ga_ls7e_ard_3-1-0_112078_2020-06-11_final
2020-06-11 11:06:34	ga_ls7e_ard_3-1-0_112080_2020-06-11_final
2020-06-11 11:06:58	ga_ls7e_ard_3-1-0_112081_2020-06-11_final
2020-06-11 11:07:22	ga_ls7e_ard_3-1-0_112082_2020-06-11_final
2020-06-12 10:06:06	ga_ls7e_ard_3-1-0_103068_2020-06-12_final
2020-06-12 10:08:30	ga_ls7e_ard_3-1-0_103074_2020-06-12_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