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
2001-05-31 09:41:21	ga_ls7e_ard_3-0-0_095085_2001-05-31_final
2001-09-20 09:40:02	ga_ls7e_ard_3-0-0_095085_2001-09-20_final
2003-01-29 09:40:53	ga_ls7e_ard_3-0-0_095087_2003-01-29_final
2003-03-02 09:40:17	ga_ls7e_ard_3-0-0_095085_2003-03-02_final
2006-01-21 09:42:19	ga_ls7e_ard_3-0-0_095087_2006-01-21_final
2007-02-25 09:42:04	ga_ls7e_ard_3-0-0_095085_2007-02-25_final
2007-07-19 09:41:46	ga_ls7e_ard_3-0-0_095085_2007-07-19_final
2007-09-05 09:41:52	ga_ls7e_ard_3-0-0_095086_2007-09-05_final
2008-03-31 09:41:20	ga_ls7e_ard_3-0-0_095084_2008-03-31_final
2008-06-19 09:41:17	ga_ls7e_ard_3-0-0_095085_2008-06-19_final
2008-07-21 09:40:31	ga_ls7e_ard_3-0-0_095084_2008-07-21_final
2008-09-07 09:40:58	ga_ls7e_ard_3-0-0_095086_2008-09-07_final
2009-01-29 09:41:45	ga_ls7e_ard_3-0-0_095086_2009-01-29_final
2009-06-22 09:42:00	ga_ls7e_ard_3-0-0_095085_2009-06-22_final
2010-04-22 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-04-22_final
2012-07-16 09:46:23	ga_ls7e_ard_3-0-0_095085_2012-07-16_final
2019-08-05 09:39:14	ga_ls7e_ard_3-0-0_095085_2019-08-05_final
2020-01-28 09:30:44	ga_ls7e_ard_3-1-0_095084_2020-01-28_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-17 08:50:44	ga_ls7e_ard_3-2-0_093076_2021-02-16_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-02-19 10:16:18	ga_ls7e_ard_3-2-0_107074_2021-02-19_final
2021-02-20 10:59:53	ga_ls7e_ard_3-2-0_114075_2021-02-20_final
2021-03-10 10:45:43	ga_ls7e_ard_3-2-0_112074_2021-03-10_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-14 08:47:24	ga_ls7e_ard_3-2-0_092088_2021-03-13_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-03-17 10:51:21	ga_ls7e_ard_3-2-0_113074_2021-03-17_final
2021-03-21 08:51:01	ga_ls7e_ard_3-2-0_093083_2021-03-20_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-03-25 08:25:35	ga_ls7e_ard_3-2-0_089082_2021-03-24_final
2021-03-28 10:31:31	ga_ls7e_ard_3-2-0_110073_2021-03-28_final
2021-03-30 08:40:55	ga_ls7e_ard_3-2-0_092075_2021-03-29_final
2021-03-30 10:17:48	ga_ls7e_ard_3-2-0_108070_2021-03-30_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-04-14 09:33:42	ga_ls7e_ard_3-2-0_101071_2021-04-14_final
2021-04-17 10:03:33	ga_ls7e_ard_3-2-0_106069_2021-04-17_final
2021-04-28 09:44:04	ga_ls7e_ard_3-2-0_103069_2021-04-28_final
2021-05-02 09:20:13	ga_ls7e_ard_3-2-0_099072_2021-05-01_final
2021-05-03 10:07:23	ga_ls7e_ard_3-2-0_106082_2021-05-03_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-05-22 08:59:00	ga_ls7e_ard_3-2-0_095085_2021-05-21_final
2021-05-28 09:57:53	ga_ls7e_ard_3-2-0_105079_2021-05-28_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-06-20 08:25:18	ga_ls7e_ard_3-2-0_090084_2021-06-19_final
2021-06-27 10:08:35	ga_ls7e_ard_3-2-0_107081_2021-06-27_final
2021-07-01 09:39:32	ga_ls7e_ard_3-2-0_103071_2021-07-01_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-22 08:20:36	ga_ls7e_ard_3-2-0_090079_2021-07-21_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-07-22 09:57:05	ga_ls7e_ard_3-2-0_106073_2021-07-22_final
2021-07-25 08:48:26	ga_ls7e_ard_3-2-0_095072_2021-07-24_final
2021-07-28 09:23:28	ga_ls7e_ard_3-2-0_100083_2021-07-27_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-04 09:24:14	ga_ls7e_ard_3-2-0_101071_2021-08-03_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-21 10:06:00	ga_ls7e_ard_3-2-0_108071_2021-08-21_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-07 09:09:18	ga_ls7e_ard_3-2-0_099072_2021-09-06_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-09-21 09:22:25	ga_ls7e_ard_3-2-0_101077_2021-09-20_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-24 09:51:51	ga_ls7e_ard_3-2-0_106074_2021-09-24_final
2021-09-30 09:13:26	ga_ls7e_ard_3-2-0_100072_2021-09-29_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-03 08:10:47	ga_ls7e_ard_3-2-0_089086_2021-10-02_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-24 08:23:28	ga_ls7e_ard_3-2-0_092076_2021-10-23_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-11-02 08:20:50	ga_ls7e_ard_3-2-0_091087_2021-11-01_final
2021-11-09 09:59:38	ga_ls7e_ard_3-2-0_108073_2021-11-09_final
2021-11-11 09:47:29	ga_ls7e_ard_3-2-0_106074_2021-11-11_final
2021-11-26 09:01:10	ga_ls7e_ard_3-2-1_099070_2021-11-25_final
2021-12-02 10:02:49	ga_ls7e_ard_3-2-1_109071_2021-12-02_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2021-12-28 09:03:17	ga_ls7e_ard_3-2-1_099083_2021-12-27_final
2021-12-30 10:26:25	ga_ls7e_ard_3-2-1_113075_2021-12-30_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-04 09:08:45	ga_ls7e_ard_3-2-1_100083_2022-01-03_final
2022-01-10 10:06:24	ga_ls7e_ard_3-2-1_110074_2022-01-10_final
2022-01-12 08:15:22	ga_ls7e_ard_3-2-1_092075_2022-01-11_final
2022-01-12 09:57:27	ga_ls7e_ard_3-2-1_108083_2022-01-12_final
2022-01-19 08:24:29	ga_ls7e_ard_3-2-1_093084_2022-01-18_final
2022-01-19 08:25:41	ga_ls7e_ard_3-2-1_093087_2022-01-18_final
2022-01-21 08:13:08	ga_ls7e_ard_3-2-1_091087_2022-01-20_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-12 09:10:43	ga_ls7e_ard_3-2-1_101082_2022-02-11_final
2022-02-14 10:34:14	ga_ls7e_ard_3-2-1_115075_2022-02-14_final
2022-03-07 09:11:04	ga_ls7e_ard_3-2-1_102073_2022-03-06_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_2022-04-03_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