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
2005-03-03 11:42:29	ga_ls7e_ard_3-0-0_115079_2005-03-03_final
2005-06-07 11:42:19	ga_ls7e_ard_3-0-0_115079_2005-06-07_final
2007-02-05 11:43:10	ga_ls7e_ard_3-0-0_115079_2007-02-05_final
2008-01-07 11:43:09	ga_ls7e_ard_3-0-0_115079_2008-01-07_final
2009-01-25 11:42:33	ga_ls7e_ard_3-0-0_115079_2009-01-25_final
2020-12-05 09:56:19	ga_ls7e_ard_3-1-0_103072_2020-12-05_final
2020-12-06 09:06:12	ga_ls7e_ard_3-1-0_094086_2020-12-05_final
2020-12-06 10:41:29	ga_ls7e_ard_3-1-0_110077_2020-12-06_final
2020-12-31 10:32:41	ga_ls7e_ard_3-1-0_109075_2020-12-31_final
2021-01-03 11:04:10	ga_ls7e_ard_3-1-0_114077_2021-01-03_final
2021-01-07 10:38:22	ga_ls7e_ard_3-1-0_110075_2021-01-07_final
2021-01-07 10:38:46	ga_ls7e_ard_3-1-0_110076_2021-01-07_final
2021-01-10 09:27:23	ga_ls7e_ard_3-1-0_099068_2021-01-09_final
2021-01-12 09:21:40	ga_ls7e_ard_3-1-0_097085_2021-01-11_final
2021-01-12 10:58:33	ga_ls7e_ard_3-1-0_113080_2021-01-12_final
2021-01-18 10:17:28	ga_ls7e_ard_3-1-0_107071_2021-01-18_final
2021-01-18 10:22:15	ga_ls7e_ard_3-1-0_107083_2021-01-18_final
2021-01-23 10:36:02	ga_ls7e_ard_3-2-0_110072_2021-01-23_final
2021-01-25 10:24:44	ga_ls7e_ard_3-2-0_108075_2021-01-25_final
2021-02-01 08:51:31	ga_ls7e_ard_3-2-0_093075_2021-01-31_final
2021-02-04 09:23:24	ga_ls7e_ard_3-2-0_098078_2021-02-03_final
2021-02-05 10:05:23	ga_ls7e_ard_3-2-0_105075_2021-02-05_final
2021-02-08 10:36:28	ga_ls7e_ard_3-2-0_110076_2021-02-08_final
2021-02-14 09:58:56	ga_ls7e_ard_3-2-0_104076_2021-02-14_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-03-18 09:58:51	ga_ls7e_ard_3-2-0_104082_2021-03-18_final
2021-03-24 09:22:05	ga_ls7e_ard_3-2-0_098084_2021-03-23_final
2021-03-25 10:01:40	ga_ls7e_ard_3-2-0_105075_2021-03-25_final
2021-04-10 10:00:45	ga_ls7e_ard_3-2-0_105076_2021-04-10_final
2021-04-17 08:28:16	ga_ls7e_ard_3-2-0_090078_2021-04-16_final
2021-04-20 10:39:47	ga_ls7e_ard_3-2-0_111083_2021-04-20_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-05-04 10:51:22	ga_ls7e_ard_3-2-0_113084_2021-05-04_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-17 08:36:54	ga_ls7e_ard_3-2-0_092075_2021-05-16_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-05-28 08:19:01	ga_ls7e_ard_3-2-0_089079_2021-05-27_final
2021-05-29 08:57:24	ga_ls7e_ard_3-2-0_096067_2021-05-28_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-21 09:07:16	ga_ls7e_ard_3-2-0_097081_2021-06-20_final
2021-06-24 09:38:20	ga_ls7e_ard_3-2-0_102082_2021-06-24_final
2021-06-28 09:11:41	ga_ls7e_ard_3-2-0_098078_2021-06-27_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-07-15 08:16:37	ga_ls7e_ard_3-2-0_089083_2021-07-14_final
2021-07-17 09:38:58	ga_ls7e_ard_3-2-0_103073_2021-07-17_final
2021-07-26 09:35:12	ga_ls7e_ard_3-2-0_102081_2021-07-26_final
2021-07-27 10:16:23	ga_ls7e_ard_3-2-0_109076_2021-07-27_final
2021-07-31 09:50:31	ga_ls7e_ard_3-2-0_105074_2021-07-31_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-02 09:37:11	ga_ls7e_ard_3-2-0_103072_2021-08-02_final
2021-08-22 09:09:30	ga_ls7e_ard_3-2-0_099069_2021-08-21_final
2021-08-22 09:10:18	ga_ls7e_ard_3-2-0_099071_2021-08-21_final
2021-08-24 10:41:50	ga_ls7e_ard_3-2-0_113084_2021-08-24_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-06 08:32:07	ga_ls7e_ard_3-2-0_092087_2021-09-05_final
2021-09-19 09:32:58	ga_ls7e_ard_3-2-0_103072_2021-09-19_final
2021-09-27 10:22:05	ga_ls7e_ard_3-2-0_111073_2021-09-27_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-15 08:34:27	ga_ls7e_ard_3-2-0_093086_2021-10-14_final
2021-10-18 09:01:53	ga_ls7e_ard_3-2-0_098078_2021-10-17_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-10-26 09:49:24	ga_ls7e_ard_3-2-0_106075_2021-10-26_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-11-07 08:33:19	ga_ls7e_ard_3-2-0_094073_2021-11-06_final
2021-11-15 09:25:34	ga_ls7e_ard_3-2-1_102082_2021-11-14_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-11-27 09:46:20	ga_ls7e_ard_3-2-1_106075_2021-11-27_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-09 10:09:32	ga_ls7e_ard_3-2-1_110074_2021-12-09_final
2021-12-12 08:59:40	ga_ls7e_ard_3-2-1_099070_2021-12-11_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_final
2021-12-14 08:51:31	ga_ls7e_ard_3-2-1_097081_2021-12-13_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2021-12-28 09:02:06	ga_ls7e_ard_3-2-1_099080_2021-12-27_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-01-08 08:38:28	ga_ls7e_ard_3-2-1_096070_2022-01-07_final
2022-01-08 10:18:57	ga_ls7e_ard_3-2-1_112074_2022-01-08_final
2022-01-13 08:57:21	ga_ls7e_ard_3-2-1_099072_2022-01-12_final
2022-01-22 10:30:47	ga_ls7e_ard_3-2-1_114076_2022-01-22_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-01-25 09:22:30	ga_ls7e_ard_3-2-1_103076_2022-01-24_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-01-29 10:37:04	ga_ls7e_ard_3-2-1_115078_2022-01-29_final
2022-02-03 09:15:50	ga_ls7e_ard_3-2-1_102077_2022-02-02_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-15 08:04:01	ga_ls7e_ard_3-2-1_090086_2022-02-14_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-14 09:16:09	ga_ls7e_ard_3-2-1_103072_2022-03-13_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_final
2022-03-29 10:11:07	ga_ls7e_ard_3-2-1_112074_2022-03-29_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