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
1999-12-20 09:44:55	ga_ls7e_ard_3-0-0_095086_1999-12-20_final
2001-02-24 09:41:34	ga_ls7e_ard_3-0-0_095084_2001-02-24_final
2001-12-25 09:41:05	ga_ls7e_ard_3-0-0_095087_2001-12-25_final
2002-01-26 09:40:03	ga_ls7e_ard_3-0-0_095084_2002-01-26_final
2002-07-21 09:39:29	ga_ls7e_ard_3-0-0_095084_2002-07-21_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-02-08 08:58:47	ga_ls7e_ard_3-2-0_094079_2021-02-07_final
2021-02-15 09:06:02	ga_ls7e_ard_3-2-0_095083_2021-02-14_final
2021-02-24 08:55:58	ga_ls7e_ard_3-2-0_094075_2021-02-23_final
2021-02-24 08:57:10	ga_ls7e_ard_3-2-0_094078_2021-02-23_final
2021-03-07 10:16:39	ga_ls7e_ard_3-2-0_107078_2021-03-07_final
2021-03-21 10:28:18	ga_ls7e_ard_3-2-0_109079_2021-03-21_final
2021-03-26 10:46:02	ga_ls7e_ard_3-2-0_112078_2021-03-26_final
2021-03-26 10:46:26	ga_ls7e_ard_3-2-0_112079_2021-03-26_final
2021-03-29 09:37:01	ga_ls7e_ard_3-2-0_101076_2021-03-29_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-02 09:11:34	ga_ls7e_ard_3-2-0_097075_2021-04-01_final
2021-04-18 10:49:31	ga_ls7e_ard_3-2-0_113076_2021-04-18_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-04-22 08:47:58	ga_ls7e_ard_3-2-0_093082_2021-04-21_final
2021-04-27 10:44:10	ga_ls7e_ard_3-2-0_112080_2021-04-27_final
2021-05-10 10:11:47	ga_ls7e_ard_3-2-0_107079_2021-05-10_final
2021-05-13 10:40:50	ga_ls7e_ard_3-2-0_112075_2021-05-13_final
2021-05-13 10:41:14	ga_ls7e_ard_3-2-0_112076_2021-05-13_final
2021-05-15 08:50:14	ga_ls7e_ard_3-2-0_094077_2021-05-14_final
2021-05-15 08:50:38	ga_ls7e_ard_3-2-0_094078_2021-05-14_final
2021-05-15 08:51:02	ga_ls7e_ard_3-2-0_094079_2021-05-14_final
2021-05-15 10:29:54	ga_ls7e_ard_3-2-0_110079_2021-05-15_final
2021-05-22 08:56:37	ga_ls7e_ard_3-2-0_095079_2021-05-21_final
2021-05-23 09:38:35	ga_ls7e_ard_3-2-0_102076_2021-05-23_final
2021-05-24 08:43:41	ga_ls7e_ard_3-2-0_093078_2021-05-23_final
2021-05-28 09:54:42	ga_ls7e_ard_3-2-0_105071_2021-05-28_final
2021-05-31 08:49:15	ga_ls7e_ard_3-2-0_094078_2021-05-30_final
2021-06-06 09:51:45	ga_ls7e_ard_3-2-0_104081_2021-06-06_final
2021-06-07 08:53:40	ga_ls7e_ard_3-2-0_095075_2021-06-06_final
2021-06-07 08:54:28	ga_ls7e_ard_3-2-0_095077_2021-06-06_final
2021-06-14 10:38:57	ga_ls7e_ard_3-2-0_112077_2021-06-14_final
2021-06-23 10:32:26	ga_ls7e_ard_3-2-0_111078_2021-06-23_final
2021-06-30 10:38:02	ga_ls7e_ard_3-2-0_112078_2021-06-30_final
2021-07-09 08:51:49	ga_ls7e_ard_3-2-0_095077_2021-07-08_final
2021-07-10 09:35:47	ga_ls7e_ard_3-2-0_102079_2021-07-10_final
2021-07-18 08:45:40	ga_ls7e_ard_3-2-0_094079_2021-07-17_final
2021-07-23 09:02:10	ga_ls7e_ard_3-2-0_097075_2021-07-22_final
2021-08-01 08:56:00	ga_ls7e_ard_3-2-0_096077_2021-07-31_final
2021-08-01 10:34:05	ga_ls7e_ard_3-2-0_112075_2021-08-01_final
2021-08-04 09:27:26	ga_ls7e_ard_3-2-0_101079_2021-08-03_final
2021-08-05 10:10:12	ga_ls7e_ard_3-2-0_108078_2021-08-05_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-10 08:49:25	ga_ls7e_ard_3-2-0_095078_2021-08-09_final
2021-08-17 08:54:34	ga_ls7e_ard_3-2-0_096077_2021-08-16_final
2021-08-18 09:38:57	ga_ls7e_ard_3-2-0_103080_2021-08-18_final
2021-08-20 09:26:01	ga_ls7e_ard_3-2-0_101079_2021-08-19_final
2021-08-24 08:59:21	ga_ls7e_ard_3-2-0_097075_2021-08-23_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-08-30 08:22:58	ga_ls7e_ard_3-2-0_091078_2021-08-29_final
2021-09-05 09:21:51	ga_ls7e_ard_3-2-0_101072_2021-09-04_final
2021-09-06 10:07:01	ga_ls7e_ard_3-2-0_108077_2021-09-06_final
2021-09-15 10:02:02	ga_ls7e_ard_3-2-0_107082_2021-09-15_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-09-25 10:37:01	ga_ls7e_ard_3-2-0_113079_2021-09-25_final
2021-09-29 10:12:20	ga_ls7e_ard_3-2-0_109080_2021-09-29_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-08 10:04:10	ga_ls7e_ard_3-2-0_108077_2021-10-08_final
2021-10-12 09:39:54	ga_ls7e_ard_3-2-0_104079_2021-10-12_final
2021-10-14 09:26:10	ga_ls7e_ard_3-2-0_102076_2021-10-13_final
2021-10-16 09:15:13	ga_ls7e_ard_3-2-0_100080_2021-10-15_final
2021-10-16 09:15:37	ga_ls7e_ard_3-2-0_100081_2021-10-15_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-10-22 08:36:24	ga_ls7e_ard_3-2-0_094077_2021-10-21_final
2021-10-29 10:21:37	ga_ls7e_ard_3-2-0_111079_2021-10-29_final
2021-11-25 09:59:40	ga_ls7e_ard_3-2-1_108077_2021-11-25_final
2021-12-09 08:32:15	ga_ls7e_ard_3-2-1_094078_2021-12-08_final
2021-12-11 09:58:11	ga_ls7e_ard_3-2-1_108077_2021-12-11_final
2022-01-01 08:35:46	ga_ls7e_ard_3-2-1_095077_2021-12-31_final
2022-01-01 10:15:03	ga_ls7e_ard_3-2-1_111078_2022-01-01_final
2022-01-08 08:40:28	ga_ls7e_ard_3-2-1_096075_2022-01-07_final
2022-01-08 08:41:16	ga_ls7e_ard_3-2-1_096077_2022-01-07_final
2022-01-10 08:28:19	ga_ls7e_ard_3-2-1_094076_2022-01-09_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-01-21 09:48:25	ga_ls7e_ard_3-2-1_107078_2022-01-21_final
2022-01-26 10:06:28	ga_ls7e_ard_3-2-1_110078_2022-01-26_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-09 08:38:08	ga_ls7e_ard_3-2-1_096077_2022-02-08_final
2022-02-11 08:25:10	ga_ls7e_ard_3-2-1_094076_2022-02-10_final
2022-02-13 09:52:17	ga_ls7e_ard_3-2-1_108078_2022-02-13_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-02-25 08:36:09	ga_ls7e_ard_3-2-1_096076_2022-02-24_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-02-26 09:18:55	ga_ls7e_ard_3-2-1_103075_2022-02-25_final
2022-03-05 09:22:26	ga_ls7e_ard_3-2-1_104070_2022-03-04_final
2022-03-06 10:07:59	ga_ls7e_ard_3-2-1_111076_2022-03-06_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-12 09:31:06	ga_ls7e_ard_3-2-1_105078_2022-03-12_final
2022-03-17 08:10:39	ga_ls7e_ard_3-2-1_092079_2022-03-16_final
2022-03-22 08:29:07	ga_ls7e_ard_3-2-1_095080_2022-03-21_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_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