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
2000-02-18 11:45:29	ga_ls7e_ard_3-0-0_115079_2000-02-18_final
2001-09-16 11:41:18	ga_ls7e_ard_3-0-0_115079_2001-09-16_final
2002-04-12 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-12_final
2011-06-24 11:46:21	ga_ls7e_ard_3-0-0_115079_2011-06-24_final
2020-11-25 09:19:34	ga_ls7e_ard_3-1-0_097071_2020-11-24_final
2020-12-02 09:26:02	ga_ls7e_ard_3-1-0_098073_2020-12-01_final
2020-12-07 09:47:00	ga_ls7e_ard_3-1-0_101080_2020-12-07_final
2020-12-18 09:25:38	ga_ls7e_ard_3-1-0_098075_2020-12-17_final
2020-12-24 10:27:46	ga_ls7e_ard_3-1-0_108077_2020-12-24_final
2021-01-07 10:39:58	ga_ls7e_ard_3-1-0_110079_2021-01-07_final
2021-01-09 10:27:04	ga_ls7e_ard_3-1-0_108078_2021-01-09_final
2021-01-14 09:06:47	ga_ls7e_ard_3-1-0_095079_2021-01-13_final
2021-01-18 10:21:51	ga_ls7e_ard_3-1-0_107082_2021-01-18_final
2021-02-15 09:06:02	ga_ls7e_ard_3-2-0_095083_2021-02-14_final
2021-02-22 10:48:10	ga_ls7e_ard_3-2-0_112077_2021-02-22_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-02-24 08:55:58	ga_ls7e_ard_3-2-0_094075_2021-02-23_final
2021-02-25 09:41:09	ga_ls7e_ard_3-2-0_101080_2021-02-25_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-05 08:51:53	ga_ls7e_ard_3-2-0_093082_2021-03-04_final
2021-03-28 10:33:55	ga_ls7e_ard_3-2-0_110079_2021-03-28_final
2021-04-03 09:55:57	ga_ls7e_ard_3-2-0_104078_2021-04-03_final
2021-04-03 09:56:21	ga_ls7e_ard_3-2-0_104079_2021-04-03_final
2021-04-09 09:17:10	ga_ls7e_ard_3-2-0_098075_2021-04-08_final
2021-04-13 10:31:48	ga_ls7e_ard_3-2-0_110077_2021-04-13_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-19 09:52:13	ga_ls7e_ard_3-2-0_104072_2021-04-19_final
2021-04-20 08:58:30	ga_ls7e_ard_3-2-0_095077_2021-04-19_final
2021-04-22 10:26:03	ga_ls7e_ard_3-2-0_109080_2021-04-22_final
2021-04-28 09:46:28	ga_ls7e_ard_3-2-0_103075_2021-04-28_final
2021-04-28 09:48:04	ga_ls7e_ard_3-2-0_103079_2021-04-28_final
2021-04-30 09:35:32	ga_ls7e_ard_3-2-0_101079_2021-04-30_final
2021-05-08 10:24:19	ga_ls7e_ard_3-2-0_109079_2021-05-08_final
2021-05-15 08:51:02	ga_ls7e_ard_3-2-0_094079_2021-05-14_final
2021-05-15 10:29:54	ga_ls7e_ard_3-2-0_110079_2021-05-15_final
2021-05-21 09:50:43	ga_ls7e_ard_3-2-0_104075_2021-05-21_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-06-01 09:32:49	ga_ls7e_ard_3-2-0_101079_2021-06-01_final
2021-06-03 09:18:42	ga_ls7e_ard_3-2-0_099075_2021-06-02_final
2021-06-06 09:50:34	ga_ls7e_ard_3-2-0_104078_2021-06-06_final
2021-06-14 10:39:21	ga_ls7e_ard_3-2-0_112078_2021-06-14_final
2021-06-15 09:42:27	ga_ls7e_ard_3-2-0_103075_2021-06-15_final
2021-06-18 10:14:18	ga_ls7e_ard_3-2-0_108078_2021-06-18_final
2021-06-20 10:01:47	ga_ls7e_ard_3-2-0_106078_2021-06-20_final
2021-06-23 10:32:02	ga_ls7e_ard_3-2-0_111077_2021-06-23_final
2021-06-28 09:10:05	ga_ls7e_ard_3-2-0_098074_2021-06-27_final
2021-06-29 09:55:39	ga_ls7e_ard_3-2-0_105080_2021-06-29_final
2021-06-30 10:38:02	ga_ls7e_ard_3-2-0_112078_2021-06-30_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-03 09:30:36	ga_ls7e_ard_3-2-0_101080_2021-07-03_final
2021-07-09 08:53:00	ga_ls7e_ard_3-2-0_095080_2021-07-08_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-07-19 09:29:14	ga_ls7e_ard_3-2-0_101080_2021-07-18_final
2021-07-25 08:50:50	ga_ls7e_ard_3-2-0_095078_2021-07-24_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-01 08:56:00	ga_ls7e_ard_3-2-0_096077_2021-07-31_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-07 09:57:40	ga_ls7e_ard_3-2-0_106078_2021-08-07_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-17 08:53:47	ga_ls7e_ard_3-2-0_096075_2021-08-16_final
2021-08-17 08:54:34	ga_ls7e_ard_3-2-0_096077_2021-08-16_final
2021-08-18 09:38:33	ga_ls7e_ard_3-2-0_103079_2021-08-18_final
2021-08-19 08:42:50	ga_ls7e_ard_3-2-0_094079_2021-08-18_final
2021-08-23 09:56:16	ga_ls7e_ard_3-2-0_106078_2021-08-23_final
2021-08-23 09:56:39	ga_ls7e_ard_3-2-0_106079_2021-08-23_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-08-24 08:59:45	ga_ls7e_ard_3-2-0_097076_2021-08-23_final
2021-08-24 09:02:33	ga_ls7e_ard_3-2-0_097083_2021-08-23_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-08-28 08:37:05	ga_ls7e_ard_3-2-0_093082_2021-08-27_final
2021-09-04 10:20:21	ga_ls7e_ard_3-2-0_110079_2021-09-04_final
2021-09-05 09:25:26	ga_ls7e_ard_3-2-0_101081_2021-09-04_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-04 08:49:58	ga_ls7e_ard_3-2-0_096076_2021-10-03_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-12 09:37:30	ga_ls7e_ard_3-2-0_104073_2021-10-12_final
2021-10-12 09:39:54	ga_ls7e_ard_3-2-0_104079_2021-10-12_final
2021-10-16 09:15:37	ga_ls7e_ard_3-2-0_100081_2021-10-15_final
2021-10-22 08:36:24	ga_ls7e_ard_3-2-0_094077_2021-10-21_final
2021-11-15 09:23:58	ga_ls7e_ard_3-2-1_102078_2021-11-14_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2021-11-23 08:32:57	ga_ls7e_ard_3-2-1_094076_2021-11-22_final
2021-11-27 09:48:44	ga_ls7e_ard_3-2-1_106081_2021-11-27_final
2021-12-11 09:58:11	ga_ls7e_ard_3-2-1_108077_2021-12-11_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-04 09:59:47	ga_ls7e_ard_3-2-1_109079_2022-02-04_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_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