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
2006-06-14 09:42:24	ga_ls7e_ard_3-0-0_095087_2006-06-14_final
2007-12-26 09:42:44	ga_ls7e_ard_3-0-0_095087_2007-12-26_final
2011-12-05 09:46:09	ga_ls7e_ard_3-0-0_095087_2011-12-05_final
2021-01-29 10:01:19	ga_ls7e_ard_3-2-0_104079_2021-01-29_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-02-17 08:50:20	ga_ls7e_ard_3-2-0_093075_2021-02-16_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-19 10:15:06	ga_ls7e_ard_3-2-0_107071_2021-02-19_final
2021-02-21 10:03:47	ga_ls7e_ard_3-2-0_105074_2021-02-21_final
2021-02-22 10:46:58	ga_ls7e_ard_3-2-0_112074_2021-02-22_final
2021-03-06 09:31:05	ga_ls7e_ard_3-2-0_100072_2021-03-06_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-09 08:26:28	ga_ls7e_ard_3-2-0_089081_2021-03-08_final
2021-03-14 08:42:36	ga_ls7e_ard_3-2-0_092076_2021-03-13_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-18 09:13:50	ga_ls7e_ard_3-2-0_097084_2021-04-17_final
2021-04-20 08:58:06	ga_ls7e_ard_3-2-0_095076_2021-04-19_final
2021-04-21 09:38:53	ga_ls7e_ard_3-2-0_102070_2021-04-21_final
2021-04-26 10:01:23	ga_ls7e_ard_3-2-0_105081_2021-04-26_final
2021-04-28 09:44:04	ga_ls7e_ard_3-2-0_103069_2021-04-28_final
2021-04-28 09:44:52	ga_ls7e_ard_3-2-0_103071_2021-04-28_final
2021-04-30 09:37:08	ga_ls7e_ard_3-2-0_101083_2021-04-30_final
2021-05-02 09:25:00	ga_ls7e_ard_3-2-0_099084_2021-05-01_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-05-27 09:17:07	ga_ls7e_ard_3-2-0_098085_2021-05-26_final
2021-05-28 08:21:01	ga_ls7e_ard_3-2-0_089084_2021-05-27_final
2021-05-30 09:40:58	ga_ls7e_ard_3-2-0_103068_2021-05-30_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-06-20 10:03:22	ga_ls7e_ard_3-2-0_106082_2021-06-20_final
2021-06-21 09:07:16	ga_ls7e_ard_3-2-0_097081_2021-06-20_final
2021-06-25 10:21:54	ga_ls7e_ard_3-2-0_109083_2021-06-25_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-06-27 10:06:11	ga_ls7e_ard_3-2-0_107075_2021-06-27_final
2021-06-28 09:11:41	ga_ls7e_ard_3-2-0_098078_2021-06-27_final
2021-06-30 09:01:33	ga_ls7e_ard_3-2-0_096084_2021-06-29_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-19 09:28:02	ga_ls7e_ard_3-2-0_101077_2021-07-18_final
2021-07-27 10:15:35	ga_ls7e_ard_3-2-0_109074_2021-07-27_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-08-01 08:58:48	ga_ls7e_ard_3-2-0_096084_2021-07-31_final
2021-08-03 10:20:21	ga_ls7e_ard_3-2-0_110072_2021-08-03_final
2021-08-10 10:25:54	ga_ls7e_ard_3-2-0_111072_2021-08-10_final
2021-08-16 08:15:00	ga_ls7e_ard_3-2-0_089086_2021-08-15_final
2021-08-17 10:32:15	ga_ls7e_ard_3-2-0_112074_2021-08-17_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-09-14 09:19:39	ga_ls7e_ard_3-2-0_100084_2021-09-13_final
2021-09-20 08:43:14	ga_ls7e_ard_3-2-0_094087_2021-09-19_final
2021-09-24 08:16:58	ga_ls7e_ard_3-2-0_090084_2021-09-23_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-10-24 09:59:57	ga_ls7e_ard_3-2-0_108070_2021-10-24_final
2021-10-28 09:39:39	ga_ls7e_ard_3-2-0_104082_2021-10-28_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-04 09:44:46	ga_ls7e_ard_3-2-0_105081_2021-11-04_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-10 10:43:36	ga_ls7e_ard_3-2-0_115075_2021-11-10_final
2021-11-11 09:48:17	ga_ls7e_ard_3-2-0_106076_2021-11-11_final
2021-11-17 09:13:25	ga_ls7e_ard_3-2-1_100083_2021-11-16_final
2021-11-19 10:38:56	ga_ls7e_ard_3-2-1_114081_2021-11-19_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-11-28 08:53:01	ga_ls7e_ard_3-2-1_097081_2021-11-27_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-05 08:58:33	ga_ls7e_ard_3-2-1_098081_2021-12-04_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-24 09:24:49	ga_ls7e_ard_3-2-1_103074_2021-12-23_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-03 10:04:53	ga_ls7e_ard_3-2-1_109084_2022-01-03_final
2022-01-07 09:34:11	ga_ls7e_ard_3-2-1_105070_2022-01-07_final
2022-01-08 08:38:28	ga_ls7e_ard_3-2-1_096070_2022-01-07_final
2022-01-14 09:38:55	ga_ls7e_ard_3-2-1_106068_2022-01-14_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-01-23 07:57:47	ga_ls7e_ard_3-2-1_089080_2022-01-22_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_final
2022-01-28 08:14:14	ga_ls7e_ard_3-2-1_092076_2022-01-27_final
2022-01-31 08:48:26	ga_ls7e_ard_3-2-1_097085_2022-01-30_final
2022-02-07 08:53:30	ga_ls7e_ard_3-2-1_098084_2022-02-06_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-02-16 08:45:59	ga_ls7e_ard_3-2-1_097083_2022-02-15_final
2022-02-22 08:07:32	ga_ls7e_ard_3-2-1_091081_2022-02-21_final
2022-02-22 09:42:50	ga_ls7e_ard_3-2-1_107072_2022-02-22_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-06 10:07:11	ga_ls7e_ard_3-2-1_111074_2022-03-06_final
2022-03-12 09:32:18	ga_ls7e_ard_3-2-1_105081_2022-03-12_final
2022-03-18 08:51:01	ga_ls7e_ard_3-2-1_099072_2022-03-17_final
2022-03-19 09:38:34	ga_ls7e_ard_3-2-1_106083_2022-03-19_final
2022-03-21 09:25:37	ga_ls7e_ard_3-2-1_104082_2022-03-20_final
2022-03-22 08:25:55	ga_ls7e_ard_3-2-1_095072_2022-03-21_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_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