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
2006-06-10 11:42:49	ga_ls7e_ard_3-0-0_115079_2006-06-10_final
2011-10-14 11:46:03	ga_ls7e_ard_3-0-0_115079_2011-10-14_final
2020-12-04 09:13:31	ga_ls7e_ard_3-1-0_096073_2020-12-03_final
2020-12-11 09:21:34	ga_ls7e_ard_3-1-0_097079_2020-12-10_final
2020-12-11 11:00:51	ga_ls7e_ard_3-1-0_113080_2020-12-11_final
2020-12-15 08:54:57	ga_ls7e_ard_3-1-0_093075_2020-12-14_final
2020-12-17 10:21:19	ga_ls7e_ard_3-1-0_107075_2020-12-17_final
2020-12-20 10:55:11	ga_ls7e_ard_3-1-0_112083_2020-12-20_final
2020-12-27 10:57:40	ga_ls7e_ard_3-1-0_113075_2020-12-27_final
2020-12-28 10:03:11	ga_ls7e_ard_3-1-0_104078_2020-12-28_final
2021-01-03 11:03:46	ga_ls7e_ard_3-1-0_114076_2021-01-03_final
2021-01-16 08:52:41	ga_ls7e_ard_3-1-0_093075_2021-01-15_final
2021-01-23 10:40:26	ga_ls7e_ard_3-2-0_110083_2021-01-23_final
2021-01-24 09:40:45	ga_ls7e_ard_3-2-0_101073_2021-01-24_final
2021-02-10 08:45:52	ga_ls7e_ard_3-2-0_092078_2021-02-09_final
2021-02-16 09:45:13	ga_ls7e_ard_3-2-0_102073_2021-02-16_final
2021-02-19 08:39:49	ga_ls7e_ard_3-2-0_091080_2021-02-18_final
2021-02-20 09:17:48	ga_ls7e_ard_3-2-0_098067_2021-02-19_final
2021-02-23 09:50:52	ga_ls7e_ard_3-2-0_103073_2021-02-23_final
2021-02-26 10:25:08	ga_ls7e_ard_3-2-0_108082_2021-02-26_final
2021-03-01 09:17:43	ga_ls7e_ard_3-2-0_097084_2021-02-28_final
2021-03-19 09:04:20	ga_ls7e_ard_3-2-0_095085_2021-03-18_final
2021-04-01 08:31:59	ga_ls7e_ard_3-2-0_090084_2021-03-31_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-06 08:48:31	ga_ls7e_ard_3-2-0_093080_2021-04-05_final
2021-04-07 09:31:18	ga_ls7e_ard_3-2-0_100079_2021-04-07_final
2021-04-08 10:12:52	ga_ls7e_ard_3-2-0_107075_2021-04-08_final
2021-04-09 10:56:51	ga_ls7e_ard_3-2-0_114077_2021-04-09_final
2021-05-03 10:03:48	ga_ls7e_ard_3-2-0_106073_2021-05-03_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-04 10:51:22	ga_ls7e_ard_3-2-0_113084_2021-05-04_final
2021-05-13 10:44:02	ga_ls7e_ard_3-2-0_112083_2021-05-13_final
2021-05-18 09:22:52	ga_ls7e_ard_3-2-0_099082_2021-05-17_final
2021-05-22 08:57:01	ga_ls7e_ard_3-2-0_095080_2021-05-21_final
2021-05-22 10:30:42	ga_ls7e_ard_3-2-0_111067_2021-05-22_final
2021-06-02 08:35:31	ga_ls7e_ard_3-2-0_092075_2021-06-01_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-09 10:22:25	ga_ls7e_ard_3-2-0_109081_2021-06-09_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-06-20 09:59:47	ga_ls7e_ard_3-2-0_106073_2021-06-20_final
2021-06-27 08:28:06	ga_ls7e_ard_3-2-0_091077_2021-06-26_final
2021-07-09 10:28:18	ga_ls7e_ard_3-2-0_111071_2021-07-09_final
2021-07-20 10:08:25	ga_ls7e_ard_3-2-0_108070_2021-07-20_final
2021-07-22 08:22:59	ga_ls7e_ard_3-2-0_090085_2021-07-21_final
2021-08-01 08:58:00	ga_ls7e_ard_3-2-0_096082_2021-07-31_final
2021-08-08 09:02:22	ga_ls7e_ard_3-2-0_097079_2021-08-07_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-08-14 10:01:38	ga_ls7e_ard_3-2-0_107074_2021-08-14_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-18 09:34:09	ga_ls7e_ard_3-2-0_103068_2021-08-18_final
2021-08-24 10:41:26	ga_ls7e_ard_3-2-0_113083_2021-08-24_final
2021-09-03 09:36:46	ga_ls7e_ard_3-2-0_103078_2021-09-03_final
2021-09-07 09:07:43	ga_ls7e_ard_3-2-0_099068_2021-09-06_final
2021-09-15 08:22:21	ga_ls7e_ard_3-2-0_091080_2021-09-14_final
2021-09-17 08:09:49	ga_ls7e_ard_3-2-0_089080_2021-09-16_final
2021-09-20 10:15:44	ga_ls7e_ard_3-2-0_110071_2021-09-20_final
2021-09-20 10:16:08	ga_ls7e_ard_3-2-0_110072_2021-09-20_final
2021-09-22 10:05:11	ga_ls7e_ard_3-2-0_108076_2021-09-22_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-10-06 10:14:19	ga_ls7e_ard_3-2-0_110071_2021-10-06_final
2021-10-06 10:18:42	ga_ls7e_ard_3-2-0_110082_2021-10-06_final
2021-10-11 08:53:32	ga_ls7e_ard_3-2-0_097071_2021-10-10_final
2021-10-22 10:16:52	ga_ls7e_ard_3-2-0_110081_2021-10-22_final
2021-10-24 10:01:08	ga_ls7e_ard_3-2-0_108073_2021-10-24_final
2021-10-26 08:14:07	ga_ls7e_ard_3-2-0_090084_2021-10-25_final
2021-10-31 08:28:36	ga_ls7e_ard_3-2-0_093075_2021-10-30_final
2021-10-31 10:08:16	ga_ls7e_ard_3-2-0_109077_2021-10-31_final
2021-11-05 08:45:28	ga_ls7e_ard_3-2-0_096072_2021-11-04_final
2021-11-06 09:29:02	ga_ls7e_ard_3-2-0_103073_2021-11-05_final
2021-11-13 09:32:56	ga_ls7e_ard_3-2-1_104069_2021-11-13_final
2021-11-16 10:08:20	ga_ls7e_ard_3-2-1_109081_2021-11-16_final
2021-11-16 10:09:08	ga_ls7e_ard_3-2-1_109083_2021-11-16_final
2021-11-21 10:23:59	ga_ls7e_ard_3-2-1_112075_2021-11-21_final
2021-12-09 10:12:43	ga_ls7e_ard_3-2-1_110082_2021-12-09_final
2021-12-12 09:03:40	ga_ls7e_ard_3-2-1_099080_2021-12-11_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2021-12-24 09:23:37	ga_ls7e_ard_3-2-1_103071_2021-12-23_final
2021-12-27 09:57:49	ga_ls7e_ard_3-2-1_108080_2021-12-27_final
2021-12-31 09:31:06	ga_ls7e_ard_3-2-1_104076_2021-12-31_final
2022-01-01 08:34:34	ga_ls7e_ard_3-2-1_095074_2021-12-31_final
2022-01-11 09:10:41	ga_ls7e_ard_3-2-1_101074_2022-01-10_final
2022-01-11 09:11:05	ga_ls7e_ard_3-2-1_101075_2022-01-10_final
2022-01-15 10:26:52	ga_ls7e_ard_3-2-1_113080_2022-01-15_final
2022-01-28 08:17:26	ga_ls7e_ard_3-2-1_092084_2022-01-27_final
2022-01-29 08:59:47	ga_ls7e_ard_3-2-1_099082_2022-01-28_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-15 08:03:13	ga_ls7e_ard_3-2-1_090084_2022-02-14_final
2022-02-16 10:24:04	ga_ls7e_ard_3-2-1_113081_2022-02-16_final
2022-02-21 09:01:15	ga_ls7e_ard_3-2-1_100076_2022-02-20_final
2022-02-23 08:52:18	ga_ls7e_ard_3-2-1_098085_2022-02-22_final
2022-03-04 10:22:56	ga_ls7e_ard_3-2-1_113082_2022-03-04_final
2022-03-04 10:23:20	ga_ls7e_ard_3-2-1_113083_2022-03-04_final
2022-03-06 08:32:42	ga_ls7e_ard_3-2-1_095085_2022-03-05_final
2022-03-11 08:45:33	ga_ls7e_ard_3-2-1_098072_2022-03-10_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years