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
2008-04-20 09:17:23	ga_ls7e_ard_3-1-0_091086_2008-04-19_final
2008-04-29 09:11:10	ga_ls7e_ard_3-0-0_090086_2008-04-28_final
2008-05-15 09:11:05	ga_ls7e_ard_3-0-0_090086_2008-05-14_final
2019-11-15 08:58:09	ga_ls7e_ard_3-1-0_089086_2019-11-14_final
2020-01-23 09:13:15	ga_ls7e_ard_3-1-0_092086_2020-01-22_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-01-28 09:31:08	ga_ls7e_ard_3-1-0_095085_2020-01-28_final
2020-01-28 09:31:32	ga_ls7e_ard_3-1-0_095086_2020-01-28_final
2020-01-30 09:18:41	ga_ls7e_ard_3-1-0_093085_2020-01-29_final
2020-01-30 09:19:05	ga_ls7e_ard_3-1-0_093086_2020-01-29_final
2020-03-07 09:35:17	ga_ls7e_ard_3-1-0_096085_2020-03-07_final
2020-03-07 09:35:41	ga_ls7e_ard_3-1-0_096086_2020-03-07_final
2020-03-09 09:22:49	ga_ls7e_ard_3-1-0_094085_2020-03-08_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-11 09:10:21	ga_ls7e_ard_3-1-0_092085_2020-03-10_final
2020-03-11 09:10:45	ga_ls7e_ard_3-1-0_092086_2020-03-10_final
2020-03-16 09:28:37	ga_ls7e_ard_3-1-0_095085_2020-03-15_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-03-18 09:16:08	ga_ls7e_ard_3-1-0_093085_2020-03-17_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-20 09:03:40	ga_ls7e_ard_3-1-0_091085_2020-03-19_final
2020-03-20 09:04:04	ga_ls7e_ard_3-1-0_091086_2020-03-19_final
2020-03-21 09:46:52	ga_ls7e_ard_3-1-0_098085_2020-03-21_final
2020-03-22 08:51:36	ga_ls7e_ard_3-1-0_089086_2020-03-21_final
2020-04-17 09:26:48	ga_ls7e_ard_3-1-0_095085_2020-04-16_final
2020-04-17 09:27:12	ga_ls7e_ard_3-1-0_095086_2020-04-16_final
2020-04-19 09:14:19	ga_ls7e_ard_3-1-0_093085_2020-04-18_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-04-21 09:01:50	ga_ls7e_ard_3-1-0_091085_2020-04-20_final
2020-04-21 09:02:14	ga_ls7e_ard_3-1-0_091086_2020-04-20_final
2020-04-22 09:45:03	ga_ls7e_ard_3-1-0_098085_2020-04-22_final
2020-04-23 08:49:22	ga_ls7e_ard_3-1-0_089085_2020-04-22_final
2020-04-23 08:49:46	ga_ls7e_ard_3-1-0_089086_2020-04-22_final
2020-04-24 09:32:34	ga_ls7e_ard_3-1-0_096085_2020-04-24_final
2020-04-24 09:32:58	ga_ls7e_ard_3-1-0_096086_2020-04-24_final
2020-04-26 09:20:29	ga_ls7e_ard_3-1-0_094086_2020-04-25_final
2020-04-28 09:07:36	ga_ls7e_ard_3-1-0_092085_2020-04-27_final
2020-04-28 09:08:00	ga_ls7e_ard_3-1-0_092086_2020-04-27_final
2020-05-01 09:38:19	ga_ls7e_ard_3-1-0_097085_2020-05-01_final
2020-06-04 09:23:55	ga_ls7e_ard_3-1-0_095085_2020-06-03_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-06-06 09:11:26	ga_ls7e_ard_3-1-0_093085_2020-06-05_final
2020-06-06 09:11:50	ga_ls7e_ard_3-1-0_093086_2020-06-05_final
2020-07-15 09:15:18	ga_ls7e_ard_3-1-0_094085_2020-07-14_final
2020-07-15 09:15:42	ga_ls7e_ard_3-1-0_094086_2020-07-14_final
2020-08-16 09:13:18	ga_ls7e_ard_3-1-0_094085_2020-08-15_final
2020-08-16 09:13:41	ga_ls7e_ard_3-1-0_094086_2020-08-15_final
2020-08-18 09:00:48	ga_ls7e_ard_3-1-0_092085_2020-08-17_final
2020-08-18 09:01:12	ga_ls7e_ard_3-1-0_092086_2020-08-17_final
2020-08-20 08:48:19	ga_ls7e_ard_3-1-0_090085_2020-08-19_final
2020-08-20 08:48:43	ga_ls7e_ard_3-1-0_090086_2020-08-19_final
2020-08-21 09:31:31	ga_ls7e_ard_3-1-0_097085_2020-08-21_final
2020-08-29 08:41:33	ga_ls7e_ard_3-1-0_089085_2020-08-28_final
2020-08-29 08:41:57	ga_ls7e_ard_3-1-0_089086_2020-08-28_final
2020-09-01 09:12:15	ga_ls7e_ard_3-1-0_094085_2020-08-31_final
2020-09-01 09:12:39	ga_ls7e_ard_3-1-0_094086_2020-08-31_final
2020-09-03 08:59:46	ga_ls7e_ard_3-1-0_092085_2020-09-02_final
2020-09-03 09:00:10	ga_ls7e_ard_3-1-0_092086_2020-09-02_final
2020-09-17 09:11:12	ga_ls7e_ard_3-1-0_094085_2020-09-16_final
2020-09-17 09:11:36	ga_ls7e_ard_3-1-0_094086_2020-09-16_final
2020-09-19 08:58:42	ga_ls7e_ard_3-1-0_092085_2020-09-18_final
2020-09-19 08:59:06	ga_ls7e_ard_3-1-0_092086_2020-09-18_final
2020-09-21 08:46:13	ga_ls7e_ard_3-1-0_090085_2020-09-20_final
2020-09-21 08:46:36	ga_ls7e_ard_3-1-0_090086_2020-09-20_final
2020-09-22 09:29:24	ga_ls7e_ard_3-1-0_097085_2020-09-21_final
2020-09-24 09:16:55	ga_ls7e_ard_3-1-0_095085_2020-09-23_final
2020-09-24 09:17:19	ga_ls7e_ard_3-1-0_095086_2020-09-23_final
2020-09-26 09:04:26	ga_ls7e_ard_3-1-0_093085_2020-09-25_final
2020-09-26 09:04:50	ga_ls7e_ard_3-1-0_093086_2020-09-25_final
2020-09-28 08:51:57	ga_ls7e_ard_3-1-0_091085_2020-09-27_final
2020-09-28 08:52:21	ga_ls7e_ard_3-1-0_091086_2020-09-27_final
2020-09-30 08:39:27	ga_ls7e_ard_3-1-0_089085_2020-09-29_final
2020-09-30 08:39:51	ga_ls7e_ard_3-1-0_089086_2020-09-29_final
2020-10-01 09:22:39	ga_ls7e_ard_3-1-0_096085_2020-09-30_final
2020-10-01 09:23:03	ga_ls7e_ard_3-1-0_096086_2020-09-30_final
2020-10-03 09:10:10	ga_ls7e_ard_3-1-0_094085_2020-10-02_final
2020-11-22 08:54:28	ga_ls7e_ard_3-1-0_092085_2020-11-21_final
2020-11-24 08:41:58	ga_ls7e_ard_3-1-0_090085_2020-11-23_final
2020-11-24 08:42:22	ga_ls7e_ard_3-1-0_090086_2020-11-23_final
2021-03-24 09:22:29	ga_ls7e_ard_3-2-0_098085_2021-03-23_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-26 09:09:57	ga_ls7e_ard_3-2-0_096085_2021-03-25_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-03-28 08:57:26	ga_ls7e_ard_3-2-0_094085_2021-03-27_final
2021-03-28 08:57:50	ga_ls7e_ard_3-2-0_094086_2021-03-27_final
2021-03-30 08:44:55	ga_ls7e_ard_3-2-0_092085_2021-03-29_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-01 08:32:47	ga_ls7e_ard_3-2-0_090086_2021-03-31_final
2021-04-02 09:15:34	ga_ls7e_ard_3-2-0_097085_2021-04-01_final
2021-04-04 09:03:02	ga_ls7e_ard_3-2-0_095085_2021-04-03_final
2021-04-04 09:03:26	ga_ls7e_ard_3-2-0_095086_2021-04-03_final
2021-04-06 08:50:31	ga_ls7e_ard_3-2-0_093085_2021-04-05_final
2021-04-06 08:50:55	ga_ls7e_ard_3-2-0_093086_2021-04-05_final
2021-04-08 08:37:59	ga_ls7e_ard_3-2-0_091085_2021-04-07_final
2021-04-08 08:38:23	ga_ls7e_ard_3-2-0_091086_2021-04-07_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-10 08:25:52	ga_ls7e_ard_3-2-0_089086_2021-04-09_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_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