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
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-06-04 10:01:05	ga_ls7e_ard_3-2-0_106073_2021-06-04_final
2021-06-09 10:18:25	ga_ls7e_ard_3-2-0_109071_2021-06-09_final
2021-06-10 09:25:31	ga_ls7e_ard_3-2-0_100078_2021-06-09_final
2021-06-21 09:02:29	ga_ls7e_ard_3-2-0_097069_2021-06-20_final
2021-06-21 10:46:33	ga_ls7e_ard_3-2-0_113082_2021-06-21_final
2021-06-30 08:57:57	ga_ls7e_ard_3-2-0_096075_2021-06-29_final
2021-07-04 10:14:10	ga_ls7e_ard_3-2-0_108081_2021-07-04_final
2021-07-05 09:14:29	ga_ls7e_ard_3-2-0_099071_2021-07-04_final
2021-07-12 09:24:51	ga_ls7e_ard_3-2-0_100083_2021-07-11_final
2021-07-14 09:10:19	ga_ls7e_ard_3-2-0_098078_2021-07-13_final
2021-07-15 08:17:25	ga_ls7e_ard_3-2-0_089085_2021-07-14_final
2021-07-31 08:14:02	ga_ls7e_ard_3-2-0_089080_2021-07-30_final
2021-08-09 09:45:56	ga_ls7e_ard_3-2-0_104080_2021-08-09_final
2021-08-18 09:38:57	ga_ls7e_ard_3-2-0_103080_2021-08-18_final
2021-08-23 08:18:11	ga_ls7e_ard_3-2-0_090080_2021-08-22_final
2021-08-25 09:44:32	ga_ls7e_ard_3-2-0_104080_2021-08-25_final
2021-08-28 08:36:41	ga_ls7e_ard_3-2-0_093081_2021-08-27_final
2021-08-28 10:15:58	ga_ls7e_ard_3-2-0_109082_2021-08-28_final
2021-08-30 09:59:03	ga_ls7e_ard_3-2-0_107071_2021-08-30_final
2021-09-03 09:37:34	ga_ls7e_ard_3-2-0_103080_2021-09-03_final
2021-09-04 10:15:33	ga_ls7e_ard_3-2-0_110067_2021-09-04_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-14 09:14:28	ga_ls7e_ard_3-2-0_100071_2021-09-13_final
2021-09-16 09:04:20	ga_ls7e_ard_3-2-0_098077_2021-09-15_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-09-19 09:32:58	ga_ls7e_ard_3-2-0_103072_2021-09-19_final
2021-09-22 10:07:35	ga_ls7e_ard_3-2-0_108082_2021-09-22_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-08 08:27:41	ga_ls7e_ard_3-2-0_092083_2021-10-07_final
2021-10-08 10:06:58	ga_ls7e_ard_3-2-0_108084_2021-10-08_final
2021-10-19 08:08:10	ga_ls7e_ard_3-2-0_089083_2021-10-18_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-10-24 10:01:32	ga_ls7e_ard_3-2-0_108074_2021-10-24_final
2021-10-26 08:14:07	ga_ls7e_ard_3-2-0_090084_2021-10-25_final
2021-10-31 08:32:35	ga_ls7e_ard_3-2-0_093085_2021-10-30_final
2021-11-03 09:03:12	ga_ls7e_ard_3-2-0_098085_2021-11-02_final
2021-11-09 09:59:14	ga_ls7e_ard_3-2-0_108072_2021-11-09_final
2021-11-16 08:27:27	ga_ls7e_ard_3-2-1_093076_2021-11-15_final
2021-11-26 10:42:03	ga_ls7e_ard_3-2-1_115075_2021-11-26_final
2021-12-02 08:25:56	ga_ls7e_ard_3-2-1_093076_2021-12-01_final
2021-12-05 08:59:21	ga_ls7e_ard_3-2-1_098083_2021-12-04_final
2021-12-05 08:59:45	ga_ls7e_ard_3-2-1_098084_2021-12-04_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_final
2021-12-06 09:41:19	ga_ls7e_ard_3-2-1_105080_2021-12-06_final
2021-12-10 09:12:37	ga_ls7e_ard_3-2-1_101071_2021-12-09_final
2021-12-11 08:22:54	ga_ls7e_ard_3-2-1_092086_2021-12-10_final
2021-12-13 09:42:50	ga_ls7e_ard_3-2-1_106070_2021-12-13_final
2021-12-18 10:05:41	ga_ls7e_ard_3-2-1_109082_2021-12-18_final
2021-12-21 08:55:25	ga_ls7e_ard_3-2-1_098077_2021-12-20_final
2021-12-21 08:57:25	ga_ls7e_ard_3-2-1_098082_2021-12-20_final
2021-12-21 08:58:12	ga_ls7e_ard_3-2-1_098084_2021-12-20_final
2021-12-22 08:00:30	ga_ls7e_ard_3-2-1_089079_2021-12-21_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2021-12-29 08:07:58	ga_ls7e_ard_3-2-1_090084_2021-12-28_final
2022-01-01 08:37:46	ga_ls7e_ard_3-2-1_095082_2021-12-31_final
2022-01-01 10:15:27	ga_ls7e_ard_3-2-1_111079_2022-01-01_final
2022-01-02 09:15:44	ga_ls7e_ard_3-2-1_102069_2022-01-01_final
2022-01-03 08:23:12	ga_ls7e_ard_3-2-1_093077_2022-01-02_final
2022-01-04 09:07:33	ga_ls7e_ard_3-2-1_100080_2022-01-03_final
2022-01-04 09:08:45	ga_ls7e_ard_3-2-1_100083_2022-01-03_final
2022-01-07 09:34:11	ga_ls7e_ard_3-2-1_105070_2022-01-07_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-10 10:06:24	ga_ls7e_ard_3-2-1_110074_2022-01-10_final
2022-01-13 09:01:20	ga_ls7e_ard_3-2-1_099082_2022-01-12_final
2022-01-16 09:26:46	ga_ls7e_ard_3-2-1_104069_2022-01-15_final
2022-01-19 09:59:46	ga_ls7e_ard_3-2-1_109075_2022-01-19_final
2022-01-21 08:09:56	ga_ls7e_ard_3-2-1_091079_2022-01-20_final
2022-01-23 09:35:52	ga_ls7e_ard_3-2-1_105078_2022-01-23_final
2022-01-28 09:53:31	ga_ls7e_ard_3-2-1_108077_2022-01-28_final
2022-01-29 08:58:35	ga_ls7e_ard_3-2-1_099079_2022-01-28_final
2022-02-02 10:12:45	ga_ls7e_ard_3-2-1_111080_2022-02-02_final
2022-02-04 08:20:55	ga_ls7e_ard_3-2-1_093079_2022-02-03_final
2022-02-04 09:58:59	ga_ls7e_ard_3-2-1_109077_2022-02-04_final
2022-02-04 09:59:23	ga_ls7e_ard_3-2-1_109078_2022-02-04_final
2022-02-05 09:04:28	ga_ls7e_ard_3-2-1_100080_2022-02-04_final
2022-02-06 08:07:33	ga_ls7e_ard_3-2-1_091077_2022-02-05_final
2022-02-09 08:39:20	ga_ls7e_ard_3-2-1_096080_2022-02-08_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-20 09:57:46	ga_ls7e_ard_3-2-1_109078_2022-02-20_final
2022-02-20 09:59:22	ga_ls7e_ard_3-2-1_109082_2022-02-20_final
2022-02-22 09:42:50	ga_ls7e_ard_3-2-1_107072_2022-02-22_final
2022-03-01 08:13:03	ga_ls7e_ard_3-2-1_092081_2022-02-28_final
2022-03-01 09:50:20	ga_ls7e_ard_3-2-1_108077_2022-03-01_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_final
2022-03-06 10:05:11	ga_ls7e_ard_3-2-1_111069_2022-03-06_final
2022-03-15 08:24:01	ga_ls7e_ard_3-2-1_094081_2022-03-14_final
2022-03-15 10:02:05	ga_ls7e_ard_3-2-1_110079_2022-03-15_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-26 09:41:18	ga_ls7e_ard_3-2-1_107076_2022-03-26_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-31 09:58:34	ga_ls7e_ard_3-2-1_110074_2022-03-31_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years