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
2008-03-11 10:06:03	ga_ls7e_ard_3-1-0_099084_2008-03-11_final
2013-02-21 10:11:41	ga_ls7e_ard_3-1-0_099083_2013-02-21_final
2019-09-18 10:01:16	ga_ls7e_ard_3-1-0_099083_2019-09-18_final
2020-04-29 09:50:24	ga_ls7e_ard_3-1-0_099084_2020-04-29_final
2020-08-20 10:20:49	ga_ls7e_ard_3-1-0_106069_2020-08-20_final
2020-08-20 10:22:24	ga_ls7e_ard_3-1-0_106073_2020-08-20_final
2020-08-23 09:19:01	ga_ls7e_ard_3-1-0_095085_2020-08-22_final
2020-08-23 10:56:18	ga_ls7e_ard_3-1-0_111081_2020-08-23_final
2020-08-25 10:40:37	ga_ls7e_ard_3-1-0_109073_2020-08-25_final
2020-09-09 09:56:47	ga_ls7e_ard_3-1-0_102074_2020-09-09_final
2020-09-12 08:51:48	ga_ls7e_ard_3-1-0_091082_2020-09-11_final
2020-09-21 10:23:05	ga_ls7e_ard_3-1-0_106080_2020-09-21_final
2020-09-22 09:26:36	ga_ls7e_ard_3-1-0_097078_2020-09-21_final
2020-09-25 09:53:44	ga_ls7e_ard_3-1-0_102069_2020-09-25_final
2020-10-02 09:59:28	ga_ls7e_ard_3-1-0_103069_2020-10-02_final
2020-10-08 11:06:52	ga_ls7e_ard_3-1-0_113084_2020-10-08_final
2020-10-14 08:49:43	ga_ls7e_ard_3-1-0_091082_2020-10-13_final
2020-10-30 10:27:57	ga_ls7e_ard_3-1-0_107083_2020-10-30_final
2020-10-31 09:31:28	ga_ls7e_ard_3-1-0_098081_2020-10-31_final
2020-11-01 10:10:16	ga_ls7e_ard_3-1-0_105070_2020-11-01_final
2020-11-02 09:20:10	ga_ls7e_ard_3-1-0_096084_2020-11-01_final
2020-11-04 10:42:58	ga_ls7e_ard_3-1-0_110075_2020-11-04_final
2020-11-09 09:24:16	ga_ls7e_ard_3-1-0_097080_2020-11-08_final
2020-11-16 09:26:47	ga_ls7e_ard_3-1-0_098072_2020-11-15_final
2020-11-16 11:06:27	ga_ls7e_ard_3-1-0_114074_2020-11-16_final
2020-11-20 09:02:58	ga_ls7e_ard_3-1-0_094075_2020-11-19_final
2020-11-20 09:07:22	ga_ls7e_ard_3-1-0_094086_2020-11-19_final
2020-11-25 09:20:22	ga_ls7e_ard_3-1-0_097073_2020-11-24_final
2020-11-27 09:12:39	ga_ls7e_ard_3-1-0_095085_2020-11-26_final
2020-11-29 08:55:45	ga_ls7e_ard_3-1-0_093074_2020-11-28_final
2020-12-06 09:01:01	ga_ls7e_ard_3-1-0_094073_2020-12-05_final
2020-12-11 11:00:51	ga_ls7e_ard_3-1-0_113080_2020-12-11_final
2020-12-13 09:09:28	ga_ls7e_ard_3-1-0_095080_2020-12-12_final
2020-12-17 10:23:19	ga_ls7e_ard_3-1-0_107080_2020-12-17_final
2020-12-18 09:28:01	ga_ls7e_ard_3-1-0_098081_2020-12-17_final
2020-12-22 10:37:53	ga_ls7e_ard_3-1-0_110071_2020-12-22_final
2020-12-24 10:30:10	ga_ls7e_ard_3-1-0_108083_2020-12-24_final
2020-12-28 10:03:11	ga_ls7e_ard_3-1-0_104078_2020-12-28_final
2021-01-03 09:26:05	ga_ls7e_ard_3-1-0_098079_2021-01-02_final
2021-01-14 10:46:27	ga_ls7e_ard_3-1-0_111081_2021-01-14_final
2021-01-18 08:42:34	ga_ls7e_ard_3-1-0_091081_2021-01-17_final
2021-01-25 10:27:55	ga_ls7e_ard_3-2-0_108083_2021-01-25_final
2021-02-27 11:05:31	ga_ls7e_ard_3-2-0_115075_2021-02-27_final
2021-02-28 08:33:44	ga_ls7e_ard_3-2-0_090082_2021-02-27_final
2021-09-23 10:48:21	ga_ls7e_ard_3-2-0_115076_2021-09-23_final
2021-09-24 08:17:22	ga_ls7e_ard_3-2-0_090085_2021-09-23_final
2021-09-24 09:50:39	ga_ls7e_ard_3-2-0_106071_2021-09-24_final
2021-10-02 09:03:42	ga_ls7e_ard_3-2-0_098079_2021-10-01_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-06 10:14:19	ga_ls7e_ard_3-2-0_110071_2021-10-06_final
2021-10-08 08:28:05	ga_ls7e_ard_3-2-0_092084_2021-10-07_final
2021-10-11 08:58:43	ga_ls7e_ard_3-2-0_097084_2021-10-10_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-11 10:36:48	ga_ls7e_ard_3-2-0_113082_2021-10-11_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-22 10:13:41	ga_ls7e_ard_3-2-0_110073_2021-10-22_final
2021-11-04 09:44:46	ga_ls7e_ard_3-2-0_105081_2021-11-04_final
2021-11-07 08:35:19	ga_ls7e_ard_3-2-0_094078_2021-11-06_final
2021-11-07 10:12:35	ga_ls7e_ard_3-2-0_110074_2021-11-07_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-11-15 09:21:35	ga_ls7e_ard_3-2-1_102072_2021-11-14_final
2021-11-21 08:43:55	ga_ls7e_ard_3-2-1_096072_2021-11-20_final
2021-11-23 08:32:09	ga_ls7e_ard_3-2-1_094074_2021-11-22_final
2021-11-27 09:47:08	ga_ls7e_ard_3-2-1_106077_2021-11-27_final
2021-12-08 09:24:46	ga_ls7e_ard_3-2-1_103070_2021-12-07_final
2021-12-10 09:15:01	ga_ls7e_ard_3-2-1_101077_2021-12-09_final
2021-12-11 09:56:11	ga_ls7e_ard_3-2-1_108072_2021-12-11_final
2021-12-12 09:04:51	ga_ls7e_ard_3-2-1_099083_2021-12-11_final
2021-12-14 08:50:19	ga_ls7e_ard_3-2-1_097078_2021-12-13_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2022-01-05 08:10:15	ga_ls7e_ard_3-2-1_091076_2022-01-04_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-06 08:55:48	ga_ls7e_ard_3-2-1_098082_2022-01-05_final
2022-01-06 10:32:17	ga_ls7e_ard_3-2-1_114076_2022-01-06_final
2022-01-10 10:09:59	ga_ls7e_ard_3-2-1_110083_2022-01-10_final
2022-01-15 08:47:11	ga_ls7e_ard_3-2-1_097078_2022-01-14_final
2022-01-15 08:47:35	ga_ls7e_ard_3-2-1_097079_2022-01-14_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_final
2022-01-18 09:14:13	ga_ls7e_ard_3-2-1_102069_2022-01-17_final
2022-01-19 08:25:41	ga_ls7e_ard_3-2-1_093087_2022-01-18_final
2022-01-31 08:45:38	ga_ls7e_ard_3-2-1_097078_2022-01-30_final
2022-01-31 10:25:19	ga_ls7e_ard_3-2-1_113080_2022-01-31_final
2022-02-03 09:15:50	ga_ls7e_ard_3-2-1_102077_2022-02-02_final
2022-02-04 08:19:43	ga_ls7e_ard_3-2-1_093076_2022-02-03_final
2022-02-07 08:47:07	ga_ls7e_ard_3-2-1_098068_2022-02-06_final
2022-02-15 09:37:19	ga_ls7e_ard_3-2-1_106072_2022-02-15_final
2022-02-16 08:44:23	ga_ls7e_ard_3-2-1_097079_2022-02-15_final
2022-02-20 09:55:22	ga_ls7e_ard_3-2-1_109072_2022-02-20_final
2022-02-25 08:39:21	ga_ls7e_ard_3-2-1_096084_2022-02-24_final
2022-02-27 08:26:48	ga_ls7e_ard_3-2-1_094084_2022-02-26_final
2022-03-09 09:02:54	ga_ls7e_ard_3-2-1_100084_2022-03-08_final
2022-03-10 08:04:23	ga_ls7e_ard_3-2-1_091077_2022-03-09_final
2022-03-10 08:07:35	ga_ls7e_ard_3-2-1_091085_2022-03-09_final
2022-03-10 09:42:28	ga_ls7e_ard_3-2-1_107075_2022-03-10_final
2022-03-11 08:47:33	ga_ls7e_ard_3-2-1_098077_2022-03-10_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_2022-03-11_final
2022-03-14 09:15:45	ga_ls7e_ard_3-2-1_103071_2022-03-13_final
2022-03-15 09:59:18	ga_ls7e_ard_3-2-1_110072_2022-03-15_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_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