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
2017-06-21 11:24:56	ga_ls7e_ard_3-0-0_110080_2017-06-21_final
2017-07-07 11:24:57	ga_ls7e_ard_3-0-0_110080_2017-07-07_final
2017-07-23 11:24:57	ga_ls7e_ard_3-0-0_110080_2017-07-23_final
2017-08-08 11:24:55	ga_ls7e_ard_3-0-0_110080_2017-08-08_final
2017-09-09 11:24:54	ga_ls7e_ard_3-0-0_110080_2017-09-09_final
2017-09-25 11:24:53	ga_ls7e_ard_3-0-0_110080_2017-09-25_final
2017-10-11 11:24:55	ga_ls7e_ard_3-0-0_110080_2017-10-11_final
2017-10-27 11:24:56	ga_ls7e_ard_3-0-0_110080_2017-10-27_final
2017-11-12 11:24:54	ga_ls7e_ard_3-0-0_110080_2017-11-12_final
2017-11-28 11:24:49	ga_ls7e_ard_3-0-0_110080_2017-11-28_final
2017-12-14 11:24:41	ga_ls7e_ard_3-0-0_110080_2017-12-14_final
2018-01-15 11:24:16	ga_ls7e_ard_3-0-0_110080_2018-01-15_final
2018-02-16 11:23:48	ga_ls7e_ard_3-0-0_110080_2018-02-16_final
2018-03-04 11:23:38	ga_ls7e_ard_3-0-0_110080_2018-03-04_final
2018-03-20 11:23:26	ga_ls7e_ard_3-0-0_110080_2018-03-20_final
2018-04-05 11:23:12	ga_ls7e_ard_3-0-0_110080_2018-04-05_final
2018-04-21 11:22:56	ga_ls7e_ard_3-0-0_110080_2018-04-21_final
2018-05-07 11:22:39	ga_ls7e_ard_3-0-0_110080_2018-05-07_final
2018-05-23 11:22:24	ga_ls7e_ard_3-0-0_110080_2018-05-23_final
2018-06-08 11:22:08	ga_ls7e_ard_3-0-0_110080_2018-06-08_final
2018-06-24 11:21:50	ga_ls7e_ard_3-0-0_110080_2018-06-24_final
2018-07-10 11:21:30	ga_ls7e_ard_3-0-0_110080_2018-07-10_final
2018-08-11 11:20:57	ga_ls7e_ard_3-0-0_110080_2018-08-11_final
2018-08-27 11:20:38	ga_ls7e_ard_3-0-0_110080_2018-08-27_final
2018-09-12 11:20:17	ga_ls7e_ard_3-0-0_110080_2018-09-12_final
2018-09-28 11:19:55	ga_ls7e_ard_3-0-0_110080_2018-09-28_final
2018-10-14 11:19:31	ga_ls7e_ard_3-0-0_110080_2018-10-14_final
2018-10-30 11:19:10	ga_ls7e_ard_3-0-0_110080_2018-10-30_final
2018-11-15 11:18:49	ga_ls7e_ard_3-0-0_110080_2018-11-15_final
2018-12-01 11:18:24	ga_ls7e_ard_3-0-0_110080_2018-12-01_final
2018-12-17 11:17:58	ga_ls7e_ard_3-0-0_110080_2018-12-17_final
2019-01-02 11:17:30	ga_ls7e_ard_3-0-0_110080_2019-01-02_final
2019-01-18 11:17:00	ga_ls7e_ard_3-0-0_110080_2019-01-18_final
2019-02-03 11:16:29	ga_ls7e_ard_3-0-0_110080_2019-02-03_final
2019-02-19 11:16:01	ga_ls7e_ard_3-1-0_110080_2019-02-19_final
2019-03-23 11:14:59	ga_ls7e_ard_3-1-0_110080_2019-03-23_final
2019-04-08 11:14:26	ga_ls7e_ard_3-0-0_110080_2019-04-08_final
2019-04-24 11:13:51	ga_ls7e_ard_3-0-0_110080_2019-04-24_final
2019-05-10 11:13:14	ga_ls7e_ard_3-0-0_110080_2019-05-10_final
2019-05-26 11:12:38	ga_ls7e_ard_3-0-0_110080_2019-05-26_final
2019-06-11 11:12:04	ga_ls7e_ard_3-0-0_110080_2019-06-11_final
2019-06-27 11:11:28	ga_ls7e_ard_3-0-0_110080_2019-06-27_final
2019-07-13 11:10:51	ga_ls7e_ard_3-0-0_110080_2019-07-13_final
2019-07-29 11:10:13	ga_ls7e_ard_3-0-0_110080_2019-07-29_final
2019-08-30 11:08:53	ga_ls7e_ard_3-1-0_110080_2019-08-30_final
2019-09-15 11:08:11	ga_ls7e_ard_3-1-0_110080_2019-09-15_final
2019-10-01 11:07:29	ga_ls7e_ard_3-1-0_110080_2019-10-01_final
2019-10-17 11:06:50	ga_ls7e_ard_3-1-0_110080_2019-10-17_final
2019-11-02 11:06:08	ga_ls7e_ard_3-1-0_110080_2019-11-02_final
2019-11-18 11:05:24	ga_ls7e_ard_3-1-0_110080_2019-11-18_final
2019-12-04 11:04:37	ga_ls7e_ard_3-1-0_110080_2019-12-04_final
2019-12-20 11:03:49	ga_ls7e_ard_3-1-0_110080_2019-12-20_final
2020-01-05 11:02:59	ga_ls7e_ard_3-1-0_110080_2020-01-05_final
2020-01-21 11:02:12	ga_ls7e_ard_3-1-0_110080_2020-01-21_final
2020-02-06 11:01:23	ga_ls7e_ard_3-1-0_110080_2020-02-06_final
2020-03-09 10:59:42	ga_ls7e_ard_3-1-0_110080_2020-03-09_final
2020-03-25 10:58:49	ga_ls7e_ard_3-1-0_110080_2020-03-25_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-04-26 10:56:58	ga_ls7e_ard_3-1-0_110080_2020-04-26_final
2020-05-12 10:56:00	ga_ls7e_ard_3-1-0_110080_2020-05-12_final
2020-05-28 10:55:01	ga_ls7e_ard_3-1-0_110080_2020-05-28_final
2020-06-13 10:54:05	ga_ls7e_ard_3-1-0_110080_2020-06-13_final
2020-06-29 10:53:09	ga_ls7e_ard_3-1-0_110080_2020-06-29_final
2020-07-15 10:52:11	ga_ls7e_ard_3-1-0_110080_2020-07-15_final
2020-07-31 10:51:11	ga_ls7e_ard_3-1-0_110080_2020-07-31_final
2020-08-16 10:50:11	ga_ls7e_ard_3-1-0_110080_2020-08-16_final
2020-09-01 10:49:08	ga_ls7e_ard_3-1-0_110080_2020-09-01_final
2020-09-17 10:48:05	ga_ls7e_ard_3-1-0_110080_2020-09-17_final
2020-10-19 10:46:01	ga_ls7e_ard_3-1-0_110080_2020-10-19_final
2020-11-04 10:44:57	ga_ls7e_ard_3-1-0_110080_2020-11-04_final
2020-11-20 10:43:51	ga_ls7e_ard_3-1-0_110080_2020-11-20_final
2020-12-06 10:42:41	ga_ls7e_ard_3-1-0_110080_2020-12-06_final
2020-12-22 10:41:28	ga_ls7e_ard_3-1-0_110080_2020-12-22_final
2021-01-07 10:40:22	ga_ls7e_ard_3-1-0_110080_2021-01-07_final
2021-01-23 10:39:14	ga_ls7e_ard_3-2-0_110080_2021-01-23_final
2021-02-08 10:38:03	ga_ls7e_ard_3-2-0_110080_2021-02-08_final
2021-02-24 10:36:51	ga_ls7e_ard_3-2-0_110080_2021-02-24_final
2021-03-12 10:35:36	ga_ls7e_ard_3-2-0_110080_2021-03-12_final
2021-03-28 10:34:19	ga_ls7e_ard_3-2-0_110080_2021-03-28_final
2021-04-29 10:31:38	ga_ls7e_ard_3-2-0_110080_2021-04-29_final
2021-05-15 10:30:18	ga_ls7e_ard_3-2-0_110080_2021-05-15_final
2021-05-31 10:28:56	ga_ls7e_ard_3-2-0_110080_2021-05-31_final
2021-06-16 10:27:38	ga_ls7e_ard_3-2-0_110080_2021-06-16_final
2021-07-02 10:26:18	ga_ls7e_ard_3-2-0_110080_2021-07-02_final
2021-07-18 10:24:56	ga_ls7e_ard_3-2-0_110080_2021-07-18_final
2021-08-03 10:23:32	ga_ls7e_ard_3-2-0_110080_2021-08-03_final
2021-08-19 10:22:07	ga_ls7e_ard_3-2-0_110080_2021-08-19_final
2021-09-04 10:20:44	ga_ls7e_ard_3-2-0_110080_2021-09-04_final
2021-09-20 10:19:19	ga_ls7e_ard_3-2-0_110080_2021-09-20_final
2021-10-06 10:17:54	ga_ls7e_ard_3-2-0_110080_2021-10-06_final
2021-10-22 10:16:29	ga_ls7e_ard_3-2-0_110080_2021-10-22_final
2021-11-07 10:14:59	ga_ls7e_ard_3-2-0_110080_2021-11-07_final
2021-11-23 10:13:25	ga_ls7e_ard_3-2-1_110080_2021-11-23_final
2021-12-09 10:11:55	ga_ls7e_ard_3-2-1_110080_2021-12-09_final
2021-12-25 10:10:22	ga_ls7e_ard_3-2-1_110080_2021-12-25_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-26 10:07:16	ga_ls7e_ard_3-2-1_110080_2022-01-26_final
2022-02-11 10:05:39	ga_ls7e_ard_3-2-1_110080_2022-02-11_final
2022-02-27 10:04:05	ga_ls7e_ard_3-2-1_110080_2022-02-27_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_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