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
2021-01-30 10:44:06	ga_ls7e_ard_3-2-0_111078_2021-01-30_final
2021-02-08 09:00:22	ga_ls7e_ard_3-2-0_094083_2021-02-07_final
2021-02-16 09:46:25	ga_ls7e_ard_3-2-0_102076_2021-02-16_final
2021-02-27 09:29:02	ga_ls7e_ard_3-2-0_099081_2021-02-26_final
2021-03-10 10:46:55	ga_ls7e_ard_3-2-0_112077_2021-03-10_final
2021-03-17 09:13:40	ga_ls7e_ard_3-2-0_097077_2021-03-16_final
2021-03-18 09:55:39	ga_ls7e_ard_3-2-0_104074_2021-03-18_final
2021-03-21 10:28:42	ga_ls7e_ard_3-2-0_109080_2021-03-21_final
2021-03-25 10:02:28	ga_ls7e_ard_3-2-0_105077_2021-03-25_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-04-03 09:54:45	ga_ls7e_ard_3-2-0_104075_2021-04-03_final
2021-04-08 10:11:41	ga_ls7e_ard_3-2-0_107072_2021-04-08_final
2021-04-10 10:01:57	ga_ls7e_ard_3-2-0_105079_2021-04-10_final
2021-04-12 09:46:14	ga_ls7e_ard_3-2-0_103071_2021-04-12_final
2021-04-18 10:49:55	ga_ls7e_ard_3-2-0_113077_2021-04-18_final
2021-04-23 09:28:21	ga_ls7e_ard_3-2-0_100075_2021-04-22_final
2021-04-27 09:05:41	ga_ls7e_ard_3-2-0_096081_2021-04-26_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-05-02 09:23:49	ga_ls7e_ard_3-2-0_099081_2021-05-01_final
2021-05-03 08:28:06	ga_ls7e_ard_3-2-0_090081_2021-05-02_final
2021-05-05 09:51:40	ga_ls7e_ard_3-2-0_104074_2021-05-05_final
2021-05-10 08:32:54	ga_ls7e_ard_3-2-0_091079_2021-05-09_final
2021-05-12 09:56:04	ga_ls7e_ard_3-2-0_105071_2021-05-12_final
2021-05-17 08:39:42	ga_ls7e_ard_3-2-0_092082_2021-05-16_final
2021-05-27 09:12:43	ga_ls7e_ard_3-2-0_098074_2021-05-26_final
2021-06-11 08:29:49	ga_ls7e_ard_3-2-0_091078_2021-06-10_final
2021-06-13 09:53:23	ga_ls7e_ard_3-2-0_105071_2021-06-13_final
2021-06-25 08:42:37	ga_ls7e_ard_3-2-0_093082_2021-06-24_final
2021-06-28 09:12:52	ga_ls7e_ard_3-2-0_098081_2021-06-27_final
2021-06-29 09:54:51	ga_ls7e_ard_3-2-0_105078_2021-06-29_final
2021-07-02 10:25:30	ga_ls7e_ard_3-2-0_110078_2021-07-02_final
2021-07-07 09:04:20	ga_ls7e_ard_3-2-0_097077_2021-07-06_final
2021-07-07 09:06:20	ga_ls7e_ard_3-2-0_097082_2021-07-06_final
2021-07-31 09:51:42	ga_ls7e_ard_3-2-0_105077_2021-07-31_final
2021-08-06 09:13:18	ga_ls7e_ard_3-2-0_099075_2021-08-05_final
2021-08-24 08:58:10	ga_ls7e_ard_3-2-0_097072_2021-08-23_final
2021-08-24 08:59:21	ga_ls7e_ard_3-2-0_097075_2021-08-23_final
2021-08-31 10:45:25	ga_ls7e_ard_3-2-0_114079_2021-08-31_final
2021-09-02 08:54:24	ga_ls7e_ard_3-2-0_096080_2021-09-01_final
2021-09-02 08:55:12	ga_ls7e_ard_3-2-0_096082_2021-09-01_final
2021-09-04 08:40:16	ga_ls7e_ard_3-2-0_094076_2021-09-03_final
2021-09-05 09:21:51	ga_ls7e_ard_3-2-0_101072_2021-09-04_final
2021-09-08 09:54:52	ga_ls7e_ard_3-2-0_106078_2021-09-08_final
2021-09-09 10:36:51	ga_ls7e_ard_3-2-0_113075_2021-09-09_final
2021-09-11 08:45:02	ga_ls7e_ard_3-2-0_095074_2021-09-10_final
2021-09-13 10:13:46	ga_ls7e_ard_3-2-0_109080_2021-09-13_final
2021-09-19 09:32:10	ga_ls7e_ard_3-2-0_103070_2021-09-19_final
2021-09-26 09:42:06	ga_ls7e_ard_3-2-0_104081_2021-09-26_final
2021-09-27 08:48:47	ga_ls7e_ard_3-2-0_095087_2021-09-26_final
2021-10-05 09:33:56	ga_ls7e_ard_3-2-0_103078_2021-10-05_final
2021-10-11 08:57:55	ga_ls7e_ard_3-2-0_097082_2021-10-10_final
2021-10-12 09:35:54	ga_ls7e_ard_3-2-0_104069_2021-10-12_final
2021-10-19 09:43:03	ga_ls7e_ard_3-2-0_105073_2021-10-19_final
2021-10-27 08:54:29	ga_ls7e_ard_3-2-0_097077_2021-10-26_final
2021-10-27 08:55:41	ga_ls7e_ard_3-2-0_097080_2021-10-26_final
2021-10-28 09:35:39	ga_ls7e_ard_3-2-0_104072_2021-10-28_final
2021-10-28 09:36:27	ga_ls7e_ard_3-2-0_104074_2021-10-28_final
2021-10-31 10:10:16	ga_ls7e_ard_3-2-0_109082_2021-10-31_final
2021-11-02 09:57:43	ga_ls7e_ard_3-2-0_107082_2021-11-02_final
2021-11-05 10:27:08	ga_ls7e_ard_3-2-0_112079_2021-11-05_final
2021-11-07 10:14:35	ga_ls7e_ard_3-2-0_110079_2021-11-07_final
2021-11-09 10:00:50	ga_ls7e_ard_3-2-0_108076_2021-11-09_final
2021-11-14 10:20:05	ga_ls7e_ard_3-2-1_111079_2021-11-14_final
2021-11-15 09:24:22	ga_ls7e_ard_3-2-1_102079_2021-11-14_final
2021-11-28 10:30:18	ga_ls7e_ard_3-2-1_113077_2021-11-28_final
2021-11-29 09:33:47	ga_ls7e_ard_3-2-1_104075_2021-11-29_final
2021-11-30 10:17:45	ga_ls7e_ard_3-2-1_111077_2021-11-30_final
2021-12-06 09:38:31	ga_ls7e_ard_3-2-1_105073_2021-12-06_final
2021-12-13 09:46:02	ga_ls7e_ard_3-2-1_106078_2021-12-13_final
2021-12-14 10:28:47	ga_ls7e_ard_3-2-1_113077_2021-12-14_final
2021-12-16 08:36:34	ga_ls7e_ard_3-2-1_095075_2021-12-15_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2021-12-19 09:09:34	ga_ls7e_ard_3-2-1_100081_2021-12-18_final
2021-12-20 08:13:03	ga_ls7e_ard_3-2-1_091079_2021-12-19_final
2021-12-20 09:53:08	ga_ls7e_ard_3-2-1_107082_2021-12-20_final
2021-12-24 09:24:25	ga_ls7e_ard_3-2-1_103073_2021-12-23_final
2022-01-06 08:52:37	ga_ls7e_ard_3-2-1_098074_2022-01-05_final
2022-01-08 08:41:40	ga_ls7e_ard_3-2-1_096078_2022-01-07_final
2022-01-11 09:11:29	ga_ls7e_ard_3-2-1_101076_2022-01-10_final
2022-01-15 10:26:28	ga_ls7e_ard_3-2-1_113079_2022-01-15_final
2022-01-28 08:15:02	ga_ls7e_ard_3-2-1_092078_2022-01-27_final
2022-01-30 09:42:33	ga_ls7e_ard_3-2-1_106081_2022-01-30_final
2022-02-02 10:11:09	ga_ls7e_ard_3-2-1_111076_2022-02-02_final
2022-02-03 09:17:02	ga_ls7e_ard_3-2-1_102080_2022-02-02_final
2022-02-06 09:48:25	ga_ls7e_ard_3-2-1_107082_2022-02-06_final
2022-02-07 08:49:54	ga_ls7e_ard_3-2-1_098075_2022-02-06_final
2022-02-12 09:09:55	ga_ls7e_ard_3-2-1_101080_2022-02-11_final
2022-02-14 08:55:21	ga_ls7e_ard_3-2-1_099075_2022-02-13_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-04 08:41:40	ga_ls7e_ard_3-2-1_097076_2022-03-03_final
2022-03-13 08:32:59	ga_ls7e_ard_3-2-1_096072_2022-03-12_final
2022-03-17 08:10:39	ga_ls7e_ard_3-2-1_092079_2022-03-16_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-21 09:25:13	ga_ls7e_ard_3-2-1_104081_2022-03-20_final
2022-03-31 08:20:05	ga_ls7e_ard_3-2-1_094075_2022-03-30_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_final
2022-04-03 08:53:05	ga_ls7e_ard_3-2-1_099081_2022-04-02_final
2022-04-05 08:38:56	ga_ls7e_ard_3-2-1_097077_2022-04-04_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