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
1999-09-18 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-09-18_final
1999-10-20 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-10-20_final
2000-07-27 11:43:12	ga_ls7e_ard_3-1-0_115077_2000-07-27_final
2001-12-05 11:39:16	ga_ls7e_ard_3-0-0_115074_2001-12-05_final
2013-09-17 11:47:40	ga_ls7e_ard_3-1-0_115077_2013-09-17_final
2014-12-25 11:49:44	ga_ls7e_ard_3-0-0_115075_2014-12-25_final
2016-06-30 11:49:35	ga_ls7e_ard_3-0-0_114080_2016-06-30_final
2017-04-05 11:54:16	ga_ls7e_ard_3-0-0_115077_2017-04-05_final
2017-06-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-06-24_final
2020-03-12 11:30:02	ga_ls7e_ard_3-1-0_115079_2020-03-12_final
2020-11-30 09:38:56	ga_ls7e_ard_3-1-0_100074_2020-11-30_final
2020-12-01 10:24:55	ga_ls7e_ard_3-1-0_107081_2020-12-01_final
2020-12-05 09:55:55	ga_ls7e_ard_3-1-0_103071_2020-12-05_final
2020-12-09 09:32:53	ga_ls7e_ard_3-1-0_099076_2020-12-09_final
2020-12-18 11:06:06	ga_ls7e_ard_3-1-0_114079_2020-12-18_final
2021-01-06 09:55:35	ga_ls7e_ard_3-1-0_103076_2021-01-06_final
2021-01-12 10:58:09	ga_ls7e_ard_3-1-0_113079_2021-01-12_final
2021-01-16 08:53:53	ga_ls7e_ard_3-1-0_093078_2021-01-15_final
2021-01-19 09:23:22	ga_ls7e_ard_3-1-0_098075_2021-01-18_final
2021-01-21 10:50:32	ga_ls7e_ard_3-2-0_112077_2021-01-21_final
2021-01-22 09:53:39	ga_ls7e_ard_3-2-0_103074_2021-01-22_final
2021-01-23 09:01:57	ga_ls7e_ard_3-2-0_094084_2021-01-22_final
2021-01-27 08:35:21	ga_ls7e_ard_3-2-0_090080_2021-01-26_final
2021-02-02 09:37:30	ga_ls7e_ard_3-2-0_100082_2021-02-02_final
2021-02-03 08:41:24	ga_ls7e_ard_3-2-0_091081_2021-02-02_final
2021-02-05 10:06:59	ga_ls7e_ard_3-2-0_105079_2021-02-05_final
2021-02-06 09:11:41	ga_ls7e_ard_3-2-0_096080_2021-02-05_final
2021-02-10 08:47:28	ga_ls7e_ard_3-2-0_092082_2021-02-09_final
2021-02-15 10:44:31	ga_ls7e_ard_3-2-0_111082_2021-02-15_final
2021-02-17 10:30:00	ga_ls7e_ard_3-2-0_109077_2021-02-17_final
2021-02-24 10:36:51	ga_ls7e_ard_3-2-0_110080_2021-02-24_final
2021-03-06 09:31:29	ga_ls7e_ard_3-2-0_100073_2021-03-06_final
2021-03-06 09:33:52	ga_ls7e_ard_3-2-0_100079_2021-03-06_final
2021-03-08 10:59:26	ga_ls7e_ard_3-2-0_114077_2021-03-08_final
2021-03-19 10:39:38	ga_ls7e_ard_3-2-0_111076_2021-03-19_final
2021-03-25 10:02:52	ga_ls7e_ard_3-2-0_105078_2021-03-25_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-17 10:04:21	ga_ls7e_ard_3-2-0_106071_2021-04-17_final
2021-04-17 10:08:20	ga_ls7e_ard_3-2-0_106081_2021-04-17_final
2021-04-29 08:54:45	ga_ls7e_ard_3-2-0_094085_2021-04-28_final
2021-04-29 10:28:03	ga_ls7e_ard_3-2-0_110071_2021-04-29_final
2021-05-01 10:16:19	ga_ls7e_ard_3-2-0_108073_2021-05-01_final
2021-05-04 09:12:05	ga_ls7e_ard_3-2-0_097083_2021-05-03_final
2021-05-09 09:29:00	ga_ls7e_ard_3-2-0_100080_2021-05-08_final
2021-05-11 09:16:53	ga_ls7e_ard_3-2-0_098081_2021-05-10_final
2021-05-17 10:16:59	ga_ls7e_ard_3-2-0_108078_2021-05-17_final
2021-06-07 10:34:08	ga_ls7e_ard_3-2-0_111079_2021-06-07_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-07-05 09:16:04	ga_ls7e_ard_3-2-0_099075_2021-07-04_final
2021-07-11 08:38:05	ga_ls7e_ard_3-2-0_093074_2021-07-10_final
2021-07-16 08:59:23	ga_ls7e_ard_3-2-0_096082_2021-07-15_final
2021-07-26 09:35:36	ga_ls7e_ard_3-2-0_102082_2021-07-26_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-10 10:27:54	ga_ls7e_ard_3-2-0_111077_2021-08-10_final
2021-08-11 09:34:11	ga_ls7e_ard_3-2-0_102082_2021-08-11_final
2021-08-15 09:09:07	ga_ls7e_ard_3-2-0_098082_2021-08-14_final
2021-08-24 08:57:46	ga_ls7e_ard_3-2-0_097071_2021-08-23_final
2021-08-25 09:42:08	ga_ls7e_ard_3-2-0_104074_2021-08-25_final
2021-09-13 10:13:22	ga_ls7e_ard_3-2-0_109079_2021-09-13_final
2021-09-17 09:47:30	ga_ls7e_ard_3-2-0_105077_2021-09-17_final
2021-10-02 09:04:30	ga_ls7e_ard_3-2-0_098081_2021-10-01_final
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-15 10:08:08	ga_ls7e_ard_3-2-0_109073_2021-10-15_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-20 10:28:13	ga_ls7e_ard_3-2-0_112078_2021-10-20_final
2021-10-23 09:17:34	ga_ls7e_ard_3-2-0_101072_2021-10-22_final
2021-10-23 09:20:46	ga_ls7e_ard_3-2-0_101080_2021-10-22_final
2021-10-24 08:25:27	ga_ls7e_ard_3-2-0_092081_2021-10-23_final
2021-10-26 08:13:19	ga_ls7e_ard_3-2-0_090082_2021-10-25_final
2021-10-28 09:38:51	ga_ls7e_ard_3-2-0_104080_2021-10-28_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-11-28 10:30:18	ga_ls7e_ard_3-2-1_113077_2021-11-28_final
2021-12-02 08:28:43	ga_ls7e_ard_3-2-1_093083_2021-12-01_final
2021-12-06 09:37:43	ga_ls7e_ard_3-2-1_105071_2021-12-06_final
2021-12-08 09:29:34	ga_ls7e_ard_3-2-1_103082_2021-12-07_final
2021-12-09 08:31:51	ga_ls7e_ard_3-2-1_094077_2021-12-08_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-14 08:52:18	ga_ls7e_ard_3-2-1_097083_2021-12-13_final
2021-12-16 10:13:51	ga_ls7e_ard_3-2-1_111071_2021-12-16_final
2021-12-19 09:06:46	ga_ls7e_ard_3-2-1_100074_2021-12-18_final
2021-12-25 10:10:22	ga_ls7e_ard_3-2-1_110080_2021-12-25_final
2021-12-30 08:47:08	ga_ls7e_ard_3-2-1_097074_2021-12-29_final
2022-01-08 10:20:56	ga_ls7e_ard_3-2-1_112079_2022-01-08_final
2022-01-10 08:31:07	ga_ls7e_ard_3-2-1_094083_2022-01-09_final
2022-01-15 10:26:28	ga_ls7e_ard_3-2-1_113079_2022-01-15_final
2022-01-16 09:27:10	ga_ls7e_ard_3-2-1_104070_2022-01-15_final
2022-02-04 08:22:30	ga_ls7e_ard_3-2-1_093083_2022-02-03_final
2022-02-07 08:52:18	ga_ls7e_ard_3-2-1_098081_2022-02-06_final
2022-02-16 10:22:04	ga_ls7e_ard_3-2-1_113076_2022-02-16_final
2022-02-25 08:35:22	ga_ls7e_ard_3-2-1_096074_2022-02-24_final
2022-02-28 09:06:46	ga_ls7e_ard_3-2-1_101076_2022-02-27_final
2022-03-01 08:11:51	ga_ls7e_ard_3-2-1_092078_2022-02-28_final
2022-03-17 08:10:15	ga_ls7e_ard_3-2-1_092078_2022-03-16_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-30 09:16:12	ga_ls7e_ard_3-2-1_103076_2022-03-29_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_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