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
2017-12-01 11:53:18	ga_ls7e_ard_3-0-0_115074_2017-12-01_final
2017-12-01 11:53:42	ga_ls7e_ard_3-0-0_115075_2017-12-01_final
2017-12-01 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-12-01_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2017-12-03 11:42:55	ga_ls7e_ard_3-0-0_113079_2017-12-03_final
2017-12-03 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-12-03_final
2017-12-03 11:44:07	ga_ls7e_ard_3-0-0_113082_2017-12-03_final
2017-12-03 11:44:31	ga_ls7e_ard_3-0-0_113083_2017-12-03_final
2017-12-03 11:44:55	ga_ls7e_ard_3-0-0_113084_2017-12-03_final
2017-12-10 11:47:26	ga_ls7e_ard_3-0-0_114075_2017-12-10_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2017-12-12 11:38:15	ga_ls7e_ard_3-0-0_112083_2017-12-12_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-08-23 11:43:26	ga_ls7e_ard_3-0-0_114075_2018-08-23_final
2018-08-23 11:43:50	ga_ls7e_ard_3-0-0_114076_2018-08-23_final
2018-08-23 11:44:14	ga_ls7e_ard_3-0-0_114077_2018-08-23_final
2018-08-23 11:44:38	ga_ls7e_ard_3-0-0_114078_2018-08-23_final
2018-08-23 11:45:02	ga_ls7e_ard_3-0-0_114079_2018-08-23_final
2018-08-23 11:45:26	ga_ls7e_ard_3-0-0_114080_2018-08-23_final
2018-08-23 11:45:50	ga_ls7e_ard_3-0-0_114081_2018-08-23_final
2018-08-25 11:34:38	ga_ls7e_ard_3-0-0_112084_2018-08-25_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-08-30 11:49:28	ga_ls7e_ard_3-0-0_115075_2018-08-30_final
2018-08-30 11:49:52	ga_ls7e_ard_3-0-0_115076_2018-08-30_final
2018-08-30 11:50:16	ga_ls7e_ard_3-1-0_115077_2018-08-30_final
2018-09-01 11:39:04	ga_ls7e_ard_3-0-0_113080_2018-09-01_final
2018-09-01 11:39:28	ga_ls7e_ard_3-0-0_113081_2018-09-01_final
2018-09-01 11:39:52	ga_ls7e_ard_3-0-0_113082_2018-09-01_final
2018-09-01 11:40:16	ga_ls7e_ard_3-0-0_113083_2018-09-01_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_final
2018-09-08 11:43:06	ga_ls7e_ard_3-0-0_114075_2018-09-08_final
2018-09-08 11:43:30	ga_ls7e_ard_3-0-0_114076_2018-09-08_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2018-09-08 11:44:18	ga_ls7e_ard_3-0-0_114078_2018-09-08_final
2018-09-08 11:44:42	ga_ls7e_ard_3-0-0_114079_2018-09-08_final
2018-09-08 11:45:06	ga_ls7e_ard_3-0-0_114080_2018-09-08_final
2020-10-22 11:14:20	ga_ls7e_ard_3-1-0_115074_2020-10-22_final
2020-10-22 11:14:44	ga_ls7e_ard_3-1-0_115075_2020-10-22_final
2020-10-22 11:15:08	ga_ls7e_ard_3-1-0_115076_2020-10-22_final
2020-10-22 11:15:32	ga_ls7e_ard_3-1-0_115077_2020-10-22_final
2020-10-24 11:04:14	ga_ls7e_ard_3-1-0_113080_2020-10-24_final
2020-10-24 11:04:38	ga_ls7e_ard_3-1-0_113081_2020-10-24_final
2020-10-24 11:05:02	ga_ls7e_ard_3-1-0_113082_2020-10-24_final
2020-10-24 11:05:26	ga_ls7e_ard_3-1-0_113083_2020-10-24_final
2020-10-24 11:05:50	ga_ls7e_ard_3-1-0_113084_2020-10-24_final
2020-12-02 11:06:06	ga_ls7e_ard_3-1-0_114076_2020-12-02_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2020-12-02 11:06:54	ga_ls7e_ard_3-1-0_114078_2020-12-02_final
2020-12-02 11:07:18	ga_ls7e_ard_3-1-0_114079_2020-12-02_final
2020-12-02 11:07:42	ga_ls7e_ard_3-1-0_114080_2020-12-02_final
2020-12-02 11:08:06	ga_ls7e_ard_3-1-0_114081_2020-12-02_final
2020-12-09 11:10:58	ga_ls7e_ard_3-1-0_115074_2020-12-09_final
2020-12-09 11:11:22	ga_ls7e_ard_3-1-0_115075_2020-12-09_final
2020-12-09 11:11:46	ga_ls7e_ard_3-1-0_115076_2020-12-09_final
2020-12-09 11:12:10	ga_ls7e_ard_3-1-0_115077_2020-12-09_final
2020-12-11 11:00:51	ga_ls7e_ard_3-1-0_113080_2020-12-11_final
2020-12-11 11:01:15	ga_ls7e_ard_3-1-0_113081_2020-12-11_final
2020-12-11 11:01:39	ga_ls7e_ard_3-1-0_113082_2020-12-11_final
2020-12-11 11:02:03	ga_ls7e_ard_3-1-0_113083_2020-12-11_final
2020-12-11 11:02:27	ga_ls7e_ard_3-1-0_113084_2020-12-11_final
2020-12-18 11:05:18	ga_ls7e_ard_3-1-0_114077_2020-12-18_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2021-06-05 10:47:03	ga_ls7e_ard_3-2-0_113080_2021-06-05_final
2021-06-05 10:47:27	ga_ls7e_ard_3-2-0_113081_2021-06-05_final
2021-06-05 10:47:51	ga_ls7e_ard_3-2-0_113082_2021-06-05_final
2021-06-05 10:48:15	ga_ls7e_ard_3-2-0_113083_2021-06-05_final
2021-06-05 10:48:39	ga_ls7e_ard_3-2-0_113084_2021-06-05_final
2021-06-14 10:41:45	ga_ls7e_ard_3-2-0_112084_2021-06-14_final
2021-08-08 10:41:38	ga_ls7e_ard_3-2-0_113080_2021-08-08_final
2021-08-08 10:42:02	ga_ls7e_ard_3-2-0_113081_2021-08-08_final
2021-08-15 10:45:36	ga_ls7e_ard_3-2-0_114076_2021-08-15_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-15 10:46:24	ga_ls7e_ard_3-2-0_114078_2021-08-15_final
2021-08-15 10:46:47	ga_ls7e_ard_3-2-0_114079_2021-08-15_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_final
2021-08-15 10:47:35	ga_ls7e_ard_3-2-0_114081_2021-08-15_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2022-01-29 10:35:28	ga_ls7e_ard_3-2-1_115074_2022-01-29_final
2022-01-29 10:35:52	ga_ls7e_ard_3-2-1_115075_2022-01-29_final
2022-01-29 10:36:16	ga_ls7e_ard_3-2-1_115076_2022-01-29_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-01-31 10:25:19	ga_ls7e_ard_3-2-1_113080_2022-01-31_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-07 10:29:11	ga_ls7e_ard_3-2-1_114076_2022-02-07_final
2022-02-07 10:29:35	ga_ls7e_ard_3-2-1_114077_2022-02-07_final
2022-02-07 10:29:59	ga_ls7e_ard_3-2-1_114078_2022-02-07_final
2022-02-07 10:30:23	ga_ls7e_ard_3-2-1_114079_2022-02-07_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-02-16 10:23:40	ga_ls7e_ard_3-2-1_113080_2022-02-16_final
2022-02-16 10:24:04	ga_ls7e_ard_3-2-1_113081_2022-02-16_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_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