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
2021-04-29 10:30:50	ga_ls7e_ard_3-2-0_110078_2021-04-29_final
2021-05-04 09:08:53	ga_ls7e_ard_3-2-0_097075_2021-05-03_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-08 10:24:19	ga_ls7e_ard_3-2-0_109079_2021-05-08_final
2021-05-13 10:42:26	ga_ls7e_ard_3-2-0_112079_2021-05-13_final
2021-05-14 09:43:32	ga_ls7e_ard_3-2-0_103071_2021-05-14_final
2021-05-14 09:45:08	ga_ls7e_ard_3-2-0_103075_2021-05-14_final
2021-05-16 09:34:36	ga_ls7e_ard_3-2-0_101080_2021-05-16_final
2021-05-20 10:47:13	ga_ls7e_ard_3-2-0_113077_2021-05-20_final
2021-05-21 09:50:43	ga_ls7e_ard_3-2-0_104075_2021-05-21_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-05-23 09:38:35	ga_ls7e_ard_3-2-0_102076_2021-05-23_final
2021-05-24 08:45:17	ga_ls7e_ard_3-2-0_093082_2021-05-23_final
2021-05-27 09:12:43	ga_ls7e_ard_3-2-0_098074_2021-05-26_final
2021-05-31 08:48:27	ga_ls7e_ard_3-2-0_094076_2021-05-30_final
2021-06-02 08:37:07	ga_ls7e_ard_3-2-0_092079_2021-06-01_final
2021-06-03 09:18:42	ga_ls7e_ard_3-2-0_099075_2021-06-02_final
2021-06-06 09:50:34	ga_ls7e_ard_3-2-0_104078_2021-06-06_final
2021-06-07 08:54:52	ga_ls7e_ard_3-2-0_095078_2021-06-06_final
2021-06-15 09:42:27	ga_ls7e_ard_3-2-0_103075_2021-06-15_final
2021-06-25 10:20:18	ga_ls7e_ard_3-2-0_109079_2021-06-25_final
2021-06-25 10:20:42	ga_ls7e_ard_3-2-0_109080_2021-06-25_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-06-28 10:46:10	ga_ls7e_ard_3-2-0_114067_2021-06-28_final
2021-06-28 10:49:45	ga_ls7e_ard_3-2-0_114076_2021-06-28_final
2021-07-02 10:25:30	ga_ls7e_ard_3-2-0_110078_2021-07-02_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-09 08:53:00	ga_ls7e_ard_3-2-0_095080_2021-07-08_final
2021-07-10 09:34:35	ga_ls7e_ard_3-2-0_102076_2021-07-10_final
2021-07-19 09:29:14	ga_ls7e_ard_3-2-0_101080_2021-07-18_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-03 10:22:45	ga_ls7e_ard_3-2-0_110078_2021-08-03_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-15 09:06:19	ga_ls7e_ard_3-2-0_098075_2021-08-14_final
2021-08-17 08:54:34	ga_ls7e_ard_3-2-0_096077_2021-08-16_final
2021-08-17 10:33:27	ga_ls7e_ard_3-2-0_112077_2021-08-17_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-08-23 09:56:16	ga_ls7e_ard_3-2-0_106078_2021-08-23_final
2021-08-23 09:56:39	ga_ls7e_ard_3-2-0_106079_2021-08-23_final
2021-08-25 09:43:44	ga_ls7e_ard_3-2-0_104078_2021-08-25_final
2021-08-25 09:44:32	ga_ls7e_ard_3-2-0_104080_2021-08-25_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-01 09:50:06	ga_ls7e_ard_3-2-0_105080_2021-09-01_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-10 09:39:33	ga_ls7e_ard_3-2-0_104071_2021-09-10_final
2021-09-10 09:40:44	ga_ls7e_ard_3-2-0_104074_2021-09-10_final
2021-09-10 09:41:32	ga_ls7e_ard_3-2-0_104076_2021-09-10_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-11 08:47:26	ga_ls7e_ard_3-2-0_095080_2021-09-10_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-09-21 09:23:13	ga_ls7e_ard_3-2-0_101079_2021-09-20_final
2021-09-24 09:53:51	ga_ls7e_ard_3-2-0_106079_2021-09-24_final
2021-09-25 08:56:32	ga_ls7e_ard_3-2-0_097075_2021-09-24_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-09-26 09:39:19	ga_ls7e_ard_3-2-0_104074_2021-09-26_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-10-06 08:37:26	ga_ls7e_ard_3-2-0_094076_2021-10-05_final
2021-10-06 10:17:06	ga_ls7e_ard_3-2-0_110078_2021-10-06_final
2021-10-12 09:37:30	ga_ls7e_ard_3-2-0_104073_2021-10-12_final
2021-10-16 09:15:37	ga_ls7e_ard_3-2-0_100081_2021-10-15_final
2021-10-20 08:48:57	ga_ls7e_ard_3-2-0_096077_2021-10-19_final
2021-10-21 09:31:19	ga_ls7e_ard_3-2-0_103075_2021-10-21_final
2021-10-22 10:15:41	ga_ls7e_ard_3-2-0_110078_2021-10-22_final
2021-10-27 08:54:05	ga_ls7e_ard_3-2-0_097076_2021-10-26_final
2021-10-28 09:39:15	ga_ls7e_ard_3-2-0_104081_2021-10-28_final
2021-10-31 08:31:23	ga_ls7e_ard_3-2-0_093082_2021-10-30_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2021-11-23 08:32:57	ga_ls7e_ard_3-2-1_094076_2021-11-22_final
2021-11-30 10:18:33	ga_ls7e_ard_3-2-1_111079_2021-11-30_final
2021-12-02 08:28:20	ga_ls7e_ard_3-2-1_093082_2021-12-01_final
2021-12-07 08:44:00	ga_ls7e_ard_3-2-1_096076_2021-12-06_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2021-12-25 10:09:35	ga_ls7e_ard_3-2-1_110078_2021-12-25_final
2022-01-01 10:15:03	ga_ls7e_ard_3-2-1_111078_2022-01-01_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-18 09:19:24	ga_ls7e_ard_3-2-1_102082_2022-01-17_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-02 10:12:21	ga_ls7e_ard_3-2-1_111079_2022-02-02_final
2022-02-11 08:25:10	ga_ls7e_ard_3-2-1_094076_2022-02-10_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-02-20 08:20:29	ga_ls7e_ard_3-2-1_093082_2022-02-19_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-02-25 10:16:14	ga_ls7e_ard_3-2-1_112079_2022-02-25_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_final
2022-03-06 08:30:42	ga_ls7e_ard_3-2-1_095080_2022-03-05_final
2022-03-13 08:34:35	ga_ls7e_ard_3-2-1_096076_2022-03-12_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-20 08:39:40	ga_ls7e_ard_3-2-1_097075_2022-03-19_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-26 09:43:42	ga_ls7e_ard_3-2-1_107082_2022-03-26_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