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
2021-07-26 09:32:25	ga_ls7e_ard_3-2-0_102074_2021-07-26_final
2021-07-27 08:38:42	ga_ls7e_ard_3-2-0_093079_2021-07-26_final
2021-07-28 09:20:40	ga_ls7e_ard_3-2-0_100076_2021-07-27_final
2021-08-01 10:34:53	ga_ls7e_ard_3-2-0_112077_2021-08-01_final
2021-08-02 09:37:58	ga_ls7e_ard_3-2-0_103074_2021-08-02_final
2021-08-02 09:39:58	ga_ls7e_ard_3-2-0_103079_2021-08-02_final
2021-08-07 08:19:35	ga_ls7e_ard_3-2-0_090080_2021-08-06_final
2021-08-08 09:00:22	ga_ls7e_ard_3-2-0_097074_2021-08-07_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-08-27 09:28:48	ga_ls7e_ard_3-2-0_102072_2021-08-26_final
2021-08-28 08:35:53	ga_ls7e_ard_3-2-0_093079_2021-08-27_final
2021-08-28 08:37:29	ga_ls7e_ard_3-2-0_093083_2021-08-27_final
2021-08-28 10:14:22	ga_ls7e_ard_3-2-0_109078_2021-08-28_final
2021-08-28 10:15:58	ga_ls7e_ard_3-2-0_109082_2021-08-28_final
2021-09-01 09:49:42	ga_ls7e_ard_3-2-0_105079_2021-09-01_final
2021-09-02 08:55:12	ga_ls7e_ard_3-2-0_096082_2021-09-01_final
2021-09-05 09:24:38	ga_ls7e_ard_3-2-0_101079_2021-09-04_final
2021-09-08 09:54:52	ga_ls7e_ard_3-2-0_106078_2021-09-08_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-10 09:42:20	ga_ls7e_ard_3-2-0_104078_2021-09-10_final
2021-09-11 10:25:30	ga_ls7e_ard_3-2-0_111078_2021-09-11_final
2021-09-13 08:35:41	ga_ls7e_ard_3-2-0_093082_2021-09-12_final
2021-09-15 08:21:33	ga_ls7e_ard_3-2-0_091078_2021-09-14_final
2021-09-19 09:35:21	ga_ls7e_ard_3-2-0_103078_2021-09-19_final
2021-09-25 08:58:56	ga_ls7e_ard_3-2-0_097081_2021-09-24_final
2021-09-25 10:36:13	ga_ls7e_ard_3-2-0_113077_2021-09-25_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-09-25 10:37:49	ga_ls7e_ard_3-2-0_113081_2021-09-25_final
2021-09-27 08:44:00	ga_ls7e_ard_3-2-0_095075_2021-09-26_final
2021-10-02 09:04:30	ga_ls7e_ard_3-2-0_098081_2021-10-01_final
2021-10-05 09:33:56	ga_ls7e_ard_3-2-0_103078_2021-10-05_final
2021-10-06 08:39:49	ga_ls7e_ard_3-2-0_094082_2021-10-05_final
2021-10-06 10:17:06	ga_ls7e_ard_3-2-0_110078_2021-10-06_final
2021-10-14 09:25:46	ga_ls7e_ard_3-2-0_102075_2021-10-13_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-15 10:09:44	ga_ls7e_ard_3-2-0_109077_2021-10-15_final
2021-10-16 09:12:50	ga_ls7e_ard_3-2-0_100074_2021-10-15_final
2021-10-18 09:03:29	ga_ls7e_ard_3-2-0_098082_2021-10-17_final
2021-10-20 08:50:08	ga_ls7e_ard_3-2-0_096080_2021-10-19_final
2021-10-20 08:51:20	ga_ls7e_ard_3-2-0_096083_2021-10-19_final
2021-10-20 10:23:50	ga_ls7e_ard_3-2-0_112067_2021-10-20_final
2021-10-20 10:27:49	ga_ls7e_ard_3-2-0_112077_2021-10-20_final
2021-10-24 08:25:03	ga_ls7e_ard_3-2-0_092080_2021-10-23_final
2021-10-26 08:12:55	ga_ls7e_ard_3-2-0_090081_2021-10-25_final
2021-10-28 09:38:27	ga_ls7e_ard_3-2-0_104079_2021-10-28_final
2021-11-01 09:13:21	ga_ls7e_ard_3-2-0_100079_2021-10-31_final
2021-11-05 10:26:20	ga_ls7e_ard_3-2-0_112077_2021-11-05_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-11-07 10:14:35	ga_ls7e_ard_3-2-0_110079_2021-11-07_final
2021-11-09 10:01:38	ga_ls7e_ard_3-2-0_108078_2021-11-09_final
2021-11-10 09:04:19	ga_ls7e_ard_3-2-0_099074_2021-11-09_final
2021-11-14 08:40:25	ga_ls7e_ard_3-2-1_095077_2021-11-13_final
2021-11-16 08:29:51	ga_ls7e_ard_3-2-1_093082_2021-11-15_final
2021-11-20 09:39:14	ga_ls7e_ard_3-2-1_105071_2021-11-20_final
2021-11-21 08:45:06	ga_ls7e_ard_3-2-1_096075_2021-11-20_final
2021-11-22 09:28:40	ga_ls7e_ard_3-2-1_103076_2021-11-21_final
2021-11-29 09:32:36	ga_ls7e_ard_3-2-1_104072_2021-11-29_final
2021-11-30 10:18:09	ga_ls7e_ard_3-2-1_111078_2021-11-30_final
2021-12-05 08:58:57	ga_ls7e_ard_3-2-1_098082_2021-12-04_final
2021-12-07 08:44:24	ga_ls7e_ard_3-2-1_096077_2021-12-06_final
2021-12-07 08:46:48	ga_ls7e_ard_3-2-1_096083_2021-12-06_final
2021-12-09 08:31:03	ga_ls7e_ard_3-2-1_094075_2021-12-08_final
2021-12-14 10:29:35	ga_ls7e_ard_3-2-1_113079_2021-12-14_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2021-12-20 09:53:08	ga_ls7e_ard_3-2-1_107082_2021-12-20_final
2021-12-22 09:38:58	ga_ls7e_ard_3-2-1_105078_2021-12-22_final
2021-12-23 08:41:16	ga_ls7e_ard_3-2-1_096073_2021-12-22_final
2021-12-23 08:42:28	ga_ls7e_ard_3-2-1_096076_2021-12-22_final
2021-12-23 08:45:15	ga_ls7e_ard_3-2-1_096083_2021-12-22_final
2021-12-27 09:56:37	ga_ls7e_ard_3-2-1_108077_2021-12-27_final
2021-12-28 08:59:42	ga_ls7e_ard_3-2-1_099074_2021-12-27_final
2021-12-30 10:27:37	ga_ls7e_ard_3-2-1_113078_2021-12-30_final
2022-01-04 09:07:33	ga_ls7e_ard_3-2-1_100080_2022-01-03_final
2022-01-08 10:21:20	ga_ls7e_ard_3-2-1_112080_2022-01-08_final
2022-01-10 10:08:24	ga_ls7e_ard_3-2-1_110079_2022-01-10_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-01-19 08:25:17	ga_ls7e_ard_3-2-1_093086_2022-01-18_final
2022-02-04 09:59:23	ga_ls7e_ard_3-2-1_109078_2022-02-04_final
2022-02-05 09:04:52	ga_ls7e_ard_3-2-1_100081_2022-02-04_final
2022-02-10 09:22:05	ga_ls7e_ard_3-2-1_103079_2022-02-09_final
2022-02-11 08:27:34	ga_ls7e_ard_3-2-1_094082_2022-02-10_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-18 10:10:43	ga_ls7e_ard_3-2-1_111079_2022-02-18_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-02-20 08:20:05	ga_ls7e_ard_3-2-1_093081_2022-02-19_final
2022-02-24 09:33:28	ga_ls7e_ard_3-2-1_105080_2022-02-24_final
2022-03-06 08:30:18	ga_ls7e_ard_3-2-1_095079_2022-03-05_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-14 09:14:57	ga_ls7e_ard_3-2-1_103069_2022-03-13_final
2022-03-18 08:51:48	ga_ls7e_ard_3-2-1_099074_2022-03-17_final
2022-03-20 08:40:04	ga_ls7e_ard_3-2-1_097076_2022-03-19_final
2022-03-26 09:41:42	ga_ls7e_ard_3-2-1_107077_2022-03-26_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_final
2022-03-30 09:15:48	ga_ls7e_ard_3-2-1_103075_2022-03-29_final
2022-04-02 08:09:08	ga_ls7e_ard_3-2-1_092079_2022-04-01_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