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
2021-03-20 09:45:07	ga_ls7e_ard_3-2-0_102079_2021-03-20_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2021-07-24 09:46:32	ga_ls7e_ard_3-2-0_104078_2021-07-24_final
2021-07-28 09:22:40	ga_ls7e_ard_3-2-0_100081_2021-07-27_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-08-03 08:44:40	ga_ls7e_ard_3-2-0_094080_2021-08-02_final
2021-08-04 09:25:02	ga_ls7e_ard_3-2-0_101073_2021-08-03_final
2021-08-04 09:28:14	ga_ls7e_ard_3-2-0_101081_2021-08-03_final
2021-08-05 08:30:32	ga_ls7e_ard_3-2-0_092076_2021-08-04_final
2021-08-05 08:31:44	ga_ls7e_ard_3-2-0_092079_2021-08-04_final
2021-08-05 10:07:49	ga_ls7e_ard_3-2-0_108072_2021-08-05_final
2021-08-27 09:28:24	ga_ls7e_ard_3-2-0_102071_2021-08-26_final
2021-08-27 09:32:48	ga_ls7e_ard_3-2-0_102082_2021-08-27_final
2021-08-31 09:04:32	ga_ls7e_ard_3-2-0_098074_2021-08-30_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-06 10:09:00	ga_ls7e_ard_3-2-0_108082_2021-09-06_final
2021-09-08 08:16:24	ga_ls7e_ard_3-2-0_090079_2021-09-07_final
2021-09-12 09:29:24	ga_ls7e_ard_3-2-0_102077_2021-09-11_final
2021-09-14 09:16:04	ga_ls7e_ard_3-2-0_100075_2021-09-13_final
2021-09-16 09:05:55	ga_ls7e_ard_3-2-0_098081_2021-09-15_final
2021-09-16 10:44:00	ga_ls7e_ard_3-2-0_114079_2021-09-16_final
2021-09-21 09:20:49	ga_ls7e_ard_3-2-0_101073_2021-09-20_final
2021-09-21 09:24:01	ga_ls7e_ard_3-2-0_101081_2021-09-20_final
2021-09-22 10:03:12	ga_ls7e_ard_3-2-0_108071_2021-09-22_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-09-24 09:53:51	ga_ls7e_ard_3-2-0_106079_2021-09-24_final
2021-09-30 09:16:38	ga_ls7e_ard_3-2-0_100080_2021-09-29_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-04 08:51:58	ga_ls7e_ard_3-2-0_096081_2021-10-03_final
2021-10-06 08:39:26	ga_ls7e_ard_3-2-0_094081_2021-10-05_final
2021-10-09 09:07:40	ga_ls7e_ard_3-2-0_099075_2021-10-08_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-15 10:10:56	ga_ls7e_ard_3-2-0_109080_2021-10-15_final
2021-10-17 08:19:07	ga_ls7e_ard_3-2-0_091079_2021-10-16_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-18 10:40:46	ga_ls7e_ard_3-2-0_114078_2021-10-18_final
2021-10-19 09:43:27	ga_ls7e_ard_3-2-0_105074_2021-10-19_final
2021-10-21 09:34:06	ga_ls7e_ard_3-2-0_103082_2021-10-21_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-10-23 09:18:22	ga_ls7e_ard_3-2-0_101074_2021-10-22_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-10-24 10:04:20	ga_ls7e_ard_3-2-0_108081_2021-10-24_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-10-27 10:32:58	ga_ls7e_ard_3-2-0_113076_2021-10-27_final
2021-10-27 10:33:22	ga_ls7e_ard_3-2-0_113077_2021-10-27_final
2021-10-29 10:20:49	ga_ls7e_ard_3-2-0_111077_2021-10-29_final
2021-10-31 10:06:17	ga_ls7e_ard_3-2-0_109072_2021-10-31_final
2021-11-09 09:59:38	ga_ls7e_ard_3-2-0_108073_2021-11-09_final
2021-11-12 08:52:34	ga_ls7e_ard_3-2-0_097076_2021-11-11_final
2021-11-14 10:17:18	ga_ls7e_ard_3-2-1_111072_2021-11-14_final
2021-11-16 10:05:56	ga_ls7e_ard_3-2-1_109075_2021-11-16_final
2021-11-19 08:57:16	ga_ls7e_ard_3-2-1_098074_2021-11-18_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-11-28 10:31:30	ga_ls7e_ard_3-2-1_113080_2021-11-28_final
2021-11-29 09:31:24	ga_ls7e_ard_3-2-1_104069_2021-11-29_final
2021-12-05 08:55:21	ga_ls7e_ard_3-2-1_098073_2021-12-04_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-11 09:59:46	ga_ls7e_ard_3-2-1_108081_2021-12-11_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_final
2021-12-21 10:34:41	ga_ls7e_ard_3-2-1_114078_2021-12-21_final
2021-12-26 09:14:15	ga_ls7e_ard_3-2-1_101079_2021-12-25_final
2021-12-26 09:15:51	ga_ls7e_ard_3-2-1_101083_2021-12-25_final
2021-12-29 08:10:22	ga_ls7e_ard_3-2-1_090090_2021-12-28_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2021-12-30 08:51:32	ga_ls7e_ard_3-2-1_097085_2021-12-29_final
2021-12-31 09:31:06	ga_ls7e_ard_3-2-1_104076_2021-12-31_final
2022-01-03 08:26:48	ga_ls7e_ard_3-2-1_093086_2022-01-02_final
2022-01-06 08:52:37	ga_ls7e_ard_3-2-1_098074_2022-01-05_final
2022-01-10 10:09:59	ga_ls7e_ard_3-2-1_110083_2022-01-10_final
2022-01-12 09:53:03	ga_ls7e_ard_3-2-1_108072_2022-01-12_final
2022-01-15 08:46:47	ga_ls7e_ard_3-2-1_097077_2022-01-14_final
2022-01-15 10:27:40	ga_ls7e_ard_3-2-1_113082_2022-01-15_final
2022-01-17 10:15:07	ga_ls7e_ard_3-2-1_111082_2022-01-17_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-09 10:19:25	ga_ls7e_ard_3-2-1_112083_2022-02-09_final
2022-02-10 09:20:30	ga_ls7e_ard_3-2-1_103075_2022-02-09_final
2022-02-10 09:21:18	ga_ls7e_ard_3-2-1_103077_2022-02-09_final
2022-02-11 08:27:58	ga_ls7e_ard_3-2-1_094083_2022-02-10_final
2022-02-20 08:20:53	ga_ls7e_ard_3-2-1_093083_2022-02-19_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-02-25 08:35:22	ga_ls7e_ard_3-2-1_096074_2022-02-24_final
2022-02-26 09:21:19	ga_ls7e_ard_3-2-1_103081_2022-02-25_final
2022-02-27 10:02:53	ga_ls7e_ard_3-2-1_110077_2022-02-27_final
2022-02-28 09:07:58	ga_ls7e_ard_3-2-1_101079_2022-02-27_final
2022-03-04 08:39:40	ga_ls7e_ard_3-2-1_097071_2022-03-03_final
2022-03-04 08:44:27	ga_ls7e_ard_3-2-1_097083_2022-03-03_final
2022-03-04 10:21:44	ga_ls7e_ard_3-2-1_113079_2022-03-04_final
2022-03-05 09:24:49	ga_ls7e_ard_3-2-1_104076_2022-03-04_final
2022-03-06 08:27:54	ga_ls7e_ard_3-2-1_095073_2022-03-05_final
2022-03-08 08:18:09	ga_ls7e_ard_3-2-1_093080_2022-03-07_final
2022-03-10 09:42:28	ga_ls7e_ard_3-2-1_107075_2022-03-10_final
2022-03-12 09:28:18	ga_ls7e_ard_3-2-1_105071_2022-03-11_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_2022-03-31_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