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
2017-01-10 09:54:23	ga_ls7e_ard_3-0-0_096071_2017-01-10_final
2017-02-11 09:54:06	ga_ls7e_ard_3-0-0_096071_2017-02-11_final
2017-02-27 09:54:15	ga_ls7e_ard_3-0-0_096071_2017-02-27_final
2017-03-15 09:54:21	ga_ls7e_ard_3-0-0_096071_2017-03-15_final
2017-03-31 09:54:26	ga_ls7e_ard_3-0-0_096071_2017-03-31_final
2017-04-16 09:54:32	ga_ls7e_ard_3-0-0_096071_2017-04-16_final
2017-05-02 09:54:38	ga_ls7e_ard_3-0-0_096071_2017-05-02_final
2017-05-18 09:54:41	ga_ls7e_ard_3-0-0_096071_2017-05-18_final
2017-06-03 09:54:45	ga_ls7e_ard_3-0-0_096071_2017-06-03_final
2017-06-19 09:54:49	ga_ls7e_ard_3-0-0_096071_2017-06-19_final
2017-07-05 09:54:50	ga_ls7e_ard_3-0-0_096071_2017-07-05_final
2017-07-21 09:54:50	ga_ls7e_ard_3-0-0_096071_2017-07-21_final
2017-08-22 09:54:48	ga_ls7e_ard_3-0-0_096071_2017-08-22_final
2017-09-07 09:54:47	ga_ls7e_ard_3-0-0_096071_2017-09-07_final
2017-09-23 09:54:46	ga_ls7e_ard_3-0-0_096071_2017-09-23_final
2017-10-09 09:54:48	ga_ls7e_ard_3-0-0_096071_2017-10-09_final
2017-10-25 09:54:49	ga_ls7e_ard_3-0-0_096071_2017-10-25_final
2017-11-26 09:54:43	ga_ls7e_ard_3-0-0_096071_2017-11-26_final
2017-12-12 09:54:35	ga_ls7e_ard_3-0-0_096071_2017-12-12_final
2018-01-13 09:54:11	ga_ls7e_ard_3-0-0_096071_2018-01-13_final
2018-01-29 09:53:56	ga_ls7e_ard_3-0-0_096071_2018-01-29_final
2018-02-14 09:53:43	ga_ls7e_ard_3-0-0_096071_2018-02-14_final
2018-03-18 09:53:21	ga_ls7e_ard_3-0-0_096071_2018-03-18_final
2018-04-19 09:52:52	ga_ls7e_ard_3-0-0_096071_2018-04-19_final
2018-05-05 09:52:34	ga_ls7e_ard_3-0-0_096071_2018-05-05_final
2018-05-21 09:52:19	ga_ls7e_ard_3-0-0_096071_2018-05-21_final
2018-06-22 09:51:46	ga_ls7e_ard_3-0-0_096071_2018-06-22_final
2018-07-08 09:51:26	ga_ls7e_ard_3-0-0_096071_2018-07-08_final
2018-07-24 09:51:10	ga_ls7e_ard_3-0-0_096071_2018-07-24_final
2018-08-09 09:50:52	ga_ls7e_ard_3-0-0_096071_2018-08-09_final
2018-08-25 09:50:34	ga_ls7e_ard_3-0-0_096071_2018-08-25_final
2018-09-10 09:50:13	ga_ls7e_ard_3-0-0_096071_2018-09-10_final
2018-09-26 09:49:51	ga_ls7e_ard_3-0-0_096071_2018-09-26_final
2018-10-12 09:49:28	ga_ls7e_ard_3-0-0_096071_2018-10-12_final
2018-11-13 09:48:45	ga_ls7e_ard_3-0-0_096071_2018-11-13_final
2018-11-29 09:48:21	ga_ls7e_ard_3-0-0_096071_2018-11-29_final
2019-01-16 09:46:57	ga_ls7e_ard_3-0-0_096071_2019-01-16_final
2019-02-17 09:45:58	ga_ls7e_ard_3-1-0_096071_2019-02-17_final
2019-03-05 09:45:28	ga_ls7e_ard_3-1-0_096071_2019-03-05_final
2019-04-06 09:44:23	ga_ls7e_ard_3-0-0_096071_2019-04-06_final
2019-04-22 09:43:49	ga_ls7e_ard_3-0-0_096071_2019-04-22_final
2019-05-08 09:43:12	ga_ls7e_ard_3-0-0_096071_2019-05-08_final
2019-05-24 09:42:35	ga_ls7e_ard_3-0-0_096071_2019-05-24_final
2019-06-09 09:42:01	ga_ls7e_ard_3-0-0_096071_2019-06-09_final
2019-06-25 09:41:26	ga_ls7e_ard_3-0-0_096071_2019-06-25_final
2019-07-11 09:40:49	ga_ls7e_ard_3-0-0_096071_2019-07-11_final
2019-07-27 09:40:11	ga_ls7e_ard_3-0-0_096071_2019-07-27_final
2019-08-12 09:39:32	ga_ls7e_ard_3-0-0_096071_2019-08-12_final
2019-08-28 09:38:51	ga_ls7e_ard_3-1-0_096071_2019-08-28_final
2019-09-13 09:38:09	ga_ls7e_ard_3-1-0_096071_2019-09-13_final
2019-09-29 09:37:28	ga_ls7e_ard_3-1-0_096071_2019-09-29_final
2019-10-15 09:36:48	ga_ls7e_ard_3-1-0_096071_2019-10-15_final
2019-10-31 09:36:06	ga_ls7e_ard_3-1-0_096071_2019-10-31_final
2019-11-16 09:35:23	ga_ls7e_ard_3-1-0_096071_2019-11-16_final
2019-12-02 09:34:37	ga_ls7e_ard_3-1-0_096071_2019-12-02_final
2019-12-18 09:33:49	ga_ls7e_ard_3-1-0_096071_2019-12-18_final
2020-01-03 09:32:59	ga_ls7e_ard_3-1-0_096071_2020-01-03_final
2020-01-19 09:32:11	ga_ls7e_ard_3-1-0_096071_2020-01-19_final
2020-02-04 09:31:23	ga_ls7e_ard_3-1-0_096071_2020-02-04_final
2020-02-20 09:30:33	ga_ls7e_ard_3-1-0_096071_2020-02-20_final
2020-03-07 09:29:42	ga_ls7e_ard_3-1-0_096071_2020-03-06_final
2020-03-23 09:28:49	ga_ls7e_ard_3-1-0_096071_2020-03-22_final
2020-04-08 09:27:55	ga_ls7e_ard_3-1-0_096071_2020-04-07_final
2020-04-24 09:26:59	ga_ls7e_ard_3-1-0_096071_2020-04-23_final
2020-05-10 09:26:01	ga_ls7e_ard_3-1-0_096071_2020-05-09_final
2020-05-26 09:25:01	ga_ls7e_ard_3-1-0_096071_2020-05-25_final
2020-06-11 09:24:06	ga_ls7e_ard_3-1-0_096071_2020-06-10_final
2020-06-27 09:23:09	ga_ls7e_ard_3-1-0_096071_2020-06-26_final
2020-07-13 09:22:11	ga_ls7e_ard_3-1-0_096071_2020-07-12_final
2020-07-29 09:21:12	ga_ls7e_ard_3-1-0_096071_2020-07-28_final
2020-08-14 09:20:12	ga_ls7e_ard_3-1-0_096071_2020-08-13_final
2020-09-15 09:18:06	ga_ls7e_ard_3-1-0_096071_2020-09-14_final
2020-10-01 09:17:04	ga_ls7e_ard_3-1-0_096071_2020-09-30_final
2020-10-17 09:16:02	ga_ls7e_ard_3-1-0_096071_2020-10-16_final
2020-11-02 09:14:59	ga_ls7e_ard_3-1-0_096071_2020-11-01_final
2020-11-18 09:13:53	ga_ls7e_ard_3-1-0_096071_2020-11-17_final
2020-12-04 09:12:44	ga_ls7e_ard_3-1-0_096071_2020-12-03_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-26 09:04:22	ga_ls7e_ard_3-2-0_096071_2021-03-25_final
2021-04-11 09:03:03	ga_ls7e_ard_3-2-0_096071_2021-04-10_final
2021-05-13 09:00:22	ga_ls7e_ard_3-2-0_096071_2021-05-12_final
2021-05-29 08:59:00	ga_ls7e_ard_3-2-0_096071_2021-05-28_final
2021-06-14 08:57:41	ga_ls7e_ard_3-2-0_096071_2021-06-13_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-16 08:55:00	ga_ls7e_ard_3-2-0_096071_2021-07-15_final
2021-08-01 08:53:36	ga_ls7e_ard_3-2-0_096071_2021-07-31_final
2021-08-17 08:52:11	ga_ls7e_ard_3-2-0_096071_2021-08-16_final
2021-09-02 08:50:48	ga_ls7e_ard_3-2-0_096071_2021-09-01_final
2021-09-18 08:49:24	ga_ls7e_ard_3-2-0_096071_2021-09-17_final
2021-10-04 08:47:58	ga_ls7e_ard_3-2-0_096071_2021-10-03_final
2021-10-20 08:46:33	ga_ls7e_ard_3-2-0_096071_2021-10-19_final
2021-11-05 08:45:04	ga_ls7e_ard_3-2-0_096071_2021-11-04_final
2021-11-21 08:43:31	ga_ls7e_ard_3-2-1_096071_2021-11-20_final
2021-12-07 08:42:00	ga_ls7e_ard_3-2-1_096071_2021-12-06_final
2021-12-23 08:40:28	ga_ls7e_ard_3-2-1_096071_2021-12-22_final
2022-01-08 08:38:52	ga_ls7e_ard_3-2-1_096071_2022-01-07_final
2022-01-24 08:37:21	ga_ls7e_ard_3-2-1_096071_2022-01-23_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-03-13 08:32:35	ga_ls7e_ard_3-2-1_096071_2022-03-12_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