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
2001-09-17 09:05:59	ga_ls7e_ard_3-0-0_090077_2001-09-16_final
2001-09-17 09:06:23	ga_ls7e_ard_3-0-0_090078_2001-09-16_final
2001-09-17 09:06:47	ga_ls7e_ard_3-0-0_090079_2001-09-16_final
2001-09-17 09:07:10	ga_ls7e_ard_3-0-0_090080_2001-09-16_final
2001-10-03 09:05:45	ga_ls7e_ard_3-0-0_090077_2001-10-02_final
2001-10-03 09:06:09	ga_ls7e_ard_3-0-0_090078_2001-10-02_final
2001-10-03 09:06:33	ga_ls7e_ard_3-0-0_090079_2001-10-02_final
2001-10-03 09:06:57	ga_ls7e_ard_3-0-0_090080_2001-10-02_final
2001-10-12 09:00:15	ga_ls7e_ard_3-0-0_089079_2001-10-11_final
2001-10-12 09:00:39	ga_ls7e_ard_3-0-0_089080_2001-10-11_final
2001-10-12 09:01:03	ga_ls7e_ard_3-1-0_089081_2001-10-11_final
2001-10-12 09:01:27	ga_ls7e_ard_3-0-0_089082_2001-10-11_final
2001-10-12 09:01:51	ga_ls7e_ard_3-0-0_089083_2001-10-11_final
2001-10-12 09:02:15	ga_ls7e_ard_3-0-0_089084_2001-10-11_final
2001-10-19 09:05:47	ga_ls7e_ard_3-0-0_090077_2001-10-18_final
2001-10-19 09:06:11	ga_ls7e_ard_3-0-0_090078_2001-10-18_final
2001-10-19 09:06:35	ga_ls7e_ard_3-0-0_090079_2001-10-18_final
2001-10-19 09:06:59	ga_ls7e_ard_3-0-0_090080_2001-10-18_final
2001-11-04 09:07:04	ga_ls7e_ard_3-0-0_090080_2001-11-03_final
2001-11-20 09:06:01	ga_ls7e_ard_3-0-0_090077_2001-11-19_final
2001-11-20 09:06:25	ga_ls7e_ard_3-0-0_090078_2001-11-19_final
2001-11-20 09:06:49	ga_ls7e_ard_3-0-0_090079_2001-11-19_final
2001-11-20 09:07:13	ga_ls7e_ard_3-0-0_090080_2001-11-19_final
2002-01-07 09:06:13	ga_ls7e_ard_3-0-0_090077_2002-01-06_final
2002-01-07 09:06:37	ga_ls7e_ard_3-0-0_090078_2002-01-06_final
2002-01-07 09:07:01	ga_ls7e_ard_3-0-0_090079_2002-01-06_final
2002-01-21 09:15:07	ga_ls7e_ard_3-0-0_092068_2002-01-20_final
2002-01-23 09:06:22	ga_ls7e_ard_3-0-0_090077_2002-01-22_final
2002-01-23 09:06:46	ga_ls7e_ard_3-0-0_090078_2002-01-22_final
2002-01-23 09:07:10	ga_ls7e_ard_3-0-0_090079_2002-01-22_final
2002-01-23 09:07:34	ga_ls7e_ard_3-0-0_090080_2002-01-22_final
2008-04-22 09:02:13	ga_ls7e_ard_3-0-0_089079_2008-04-21_final
2008-04-22 09:02:37	ga_ls7e_ard_3-0-0_089080_2008-04-21_final
2008-04-22 09:03:01	ga_ls7e_ard_3-1-0_089081_2008-04-21_final
2008-04-29 09:07:35	ga_ls7e_ard_3-0-0_090077_2008-04-28_final
2008-04-29 09:07:59	ga_ls7e_ard_3-0-0_090078_2008-04-28_final
2008-04-29 09:08:22	ga_ls7e_ard_3-0-0_090079_2008-04-28_final
2008-04-29 09:08:46	ga_ls7e_ard_3-0-0_090080_2008-04-28_final
2008-05-15 09:07:29	ga_ls7e_ard_3-0-0_090077_2008-05-14_final
2008-05-15 09:07:53	ga_ls7e_ard_3-0-0_090078_2008-05-14_final
2008-05-15 09:08:17	ga_ls7e_ard_3-0-0_090079_2008-05-14_final
2008-05-15 09:08:41	ga_ls7e_ard_3-0-0_090080_2008-05-14_final
2008-05-17 08:57:07	ga_ls7e_ard_3-0-0_088082_2008-05-16_final
2020-07-19 08:47:08	ga_ls7e_ard_3-1-0_090077_2020-07-18_final
2020-07-19 08:47:32	ga_ls7e_ard_3-1-0_090078_2020-07-18_final
2020-07-19 08:47:56	ga_ls7e_ard_3-1-0_090079_2020-07-18_final
2020-07-19 08:48:20	ga_ls7e_ard_3-1-0_090080_2020-07-18_final
2020-08-04 08:46:08	ga_ls7e_ard_3-1-0_090077_2020-08-03_final
2020-08-04 08:46:32	ga_ls7e_ard_3-1-0_090078_2020-08-03_final
2020-08-04 08:46:56	ga_ls7e_ard_3-1-0_090079_2020-08-03_final
2020-08-04 08:47:20	ga_ls7e_ard_3-1-0_090080_2020-08-03_final
2020-09-21 08:43:25	ga_ls7e_ard_3-1-0_090078_2020-09-20_final
2020-09-21 08:43:49	ga_ls7e_ard_3-1-0_090079_2020-09-20_final
2020-09-21 08:44:13	ga_ls7e_ard_3-1-0_090080_2020-09-20_final
2020-09-28 08:48:21	ga_ls7e_ard_3-1-0_091076_2020-09-27_final
2020-09-30 08:37:04	ga_ls7e_ard_3-1-0_089079_2020-09-29_final
2020-09-30 08:37:28	ga_ls7e_ard_3-1-0_089080_2020-09-29_final
2020-09-30 08:37:52	ga_ls7e_ard_3-1-0_089081_2020-09-29_final
2020-09-30 08:38:16	ga_ls7e_ard_3-1-0_089082_2020-09-29_final
2020-09-30 08:38:40	ga_ls7e_ard_3-1-0_089083_2020-09-29_final
2020-09-30 08:39:04	ga_ls7e_ard_3-1-0_089084_2020-09-29_final
2020-09-30 08:39:27	ga_ls7e_ard_3-1-0_089085_2020-09-29_final
2020-10-23 08:40:58	ga_ls7e_ard_3-1-0_090077_2020-10-22_final
2020-10-23 08:41:22	ga_ls7e_ard_3-1-0_090078_2020-10-22_final
2020-11-15 08:45:11	ga_ls7e_ard_3-1-0_091076_2020-11-14_final
2020-11-24 08:38:46	ga_ls7e_ard_3-1-0_090077_2020-11-23_final
2020-12-19 08:31:56	ga_ls7e_ard_3-1-0_089080_2020-12-18_final
2020-12-19 08:32:19	ga_ls7e_ard_3-1-0_089081_2020-12-18_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2021-05-03 08:26:31	ga_ls7e_ard_3-2-0_090077_2021-05-02_final
2021-05-03 08:26:55	ga_ls7e_ard_3-2-0_090078_2021-05-02_final
2021-05-03 08:27:19	ga_ls7e_ard_3-2-0_090079_2021-05-02_final
2021-05-03 08:27:42	ga_ls7e_ard_3-2-0_090080_2021-05-02_final
2021-05-12 08:20:23	ga_ls7e_ard_3-2-0_089079_2021-05-11_final
2021-05-12 08:20:47	ga_ls7e_ard_3-2-0_089080_2021-05-11_final
2021-05-12 08:21:11	ga_ls7e_ard_3-2-0_089081_2021-05-11_final
2021-05-12 08:21:59	ga_ls7e_ard_3-2-0_089083_2021-05-11_final
2021-05-12 08:22:22	ga_ls7e_ard_3-2-0_089084_2021-05-11_final
2021-05-12 08:22:46	ga_ls7e_ard_3-2-0_089085_2021-05-11_final
2021-07-29 08:24:58	ga_ls7e_ard_3-2-0_091076_2021-07-28_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-07-31 08:14:02	ga_ls7e_ard_3-2-0_089080_2021-07-30_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-07-31 08:14:50	ga_ls7e_ard_3-2-0_089082_2021-07-30_final
2021-07-31 08:15:14	ga_ls7e_ard_3-2-0_089083_2021-07-30_final
2021-07-31 08:16:01	ga_ls7e_ard_3-2-0_089085_2021-07-30_final
2022-03-19 07:56:30	ga_ls7e_ard_3-2-1_090075_2022-03-18_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-19 07:57:42	ga_ls7e_ard_3-2-1_090078_2022-03-18_final
2022-03-19 07:58:06	ga_ls7e_ard_3-2-1_090079_2022-03-18_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_final
2022-03-28 07:51:52	ga_ls7e_ard_3-2-1_089081_2022-03-27_final
2022-03-28 07:52:16	ga_ls7e_ard_3-2-1_089082_2022-03-27_final
2022-03-28 07:52:40	ga_ls7e_ard_3-2-1_089083_2022-03-27_final
2022-03-28 07:53:04	ga_ls7e_ard_3-2-1_089084_2022-03-27_final
2022-04-04 07:54:58	ga_ls7e_ard_3-2-1_090075_2022-04-03_final
2022-04-04 07:55:46	ga_ls7e_ard_3-2-1_090077_2022-04-03_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 07:56:34	ga_ls7e_ard_3-2-1_090079_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