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
1999-07-29 09:43:16	ga_ls7e_ard_3-0-0_095082_1999-07-29_final
1999-10-01 09:45:25	ga_ls7e_ard_3-0-0_095087_1999-10-01_final
2002-09-07 09:39:58	ga_ls7e_ard_3-0-0_095086_2002-09-07_final
2006-06-14 09:42:24	ga_ls7e_ard_3-0-0_095087_2006-06-14_final
2010-02-01 09:44:08	ga_ls7e_ard_3-0-0_095087_2010-02-01_final
2015-10-13 09:52:09	ga_ls7e_ard_3-0-0_095086_2015-10-13_final
2016-01-17 09:54:03	ga_ls7e_ard_3-0-0_095087_2016-01-17_final
2018-08-18 09:48:30	ga_ls7e_ard_3-0-0_095081_2018-08-18_final
2018-11-22 09:46:44	ga_ls7e_ard_3-0-0_095082_2018-11-22_final
2018-12-24 09:47:52	ga_ls7e_ard_3-0-0_095087_2018-12-24_final
2019-01-25 09:44:52	ga_ls7e_ard_3-0-0_095082_2019-01-25_final
2019-02-10 09:43:59	ga_ls7e_ard_3-0-0_095081_2019-02-10_final
2019-04-15 09:41:53	ga_ls7e_ard_3-0-0_095081_2019-04-15_final
2019-10-08 09:34:54	ga_ls7e_ard_3-1-0_095081_2019-10-08_final
2019-12-11 09:32:22	ga_ls7e_ard_3-1-0_095082_2019-12-11_final
2020-09-24 09:17:19	ga_ls7e_ard_3-1-0_095086_2020-09-23_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-02-10 08:46:16	ga_ls7e_ard_3-2-0_092079_2021-02-09_final
2021-02-12 10:09:27	ga_ls7e_ard_3-2-0_106071_2021-02-12_final
2021-02-20 09:17:48	ga_ls7e_ard_3-2-0_098067_2021-02-19_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-02-20 09:21:48	ga_ls7e_ard_3-2-0_098077_2021-02-19_final
2021-03-01 09:12:56	ga_ls7e_ard_3-2-0_097072_2021-02-28_final
2021-03-04 09:47:11	ga_ls7e_ard_3-2-0_102081_2021-03-04_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-18 09:58:27	ga_ls7e_ard_3-2-0_104081_2021-03-18_final
2021-03-20 09:42:20	ga_ls7e_ard_3-2-0_102072_2021-03-20_final
2021-03-26 09:04:22	ga_ls7e_ard_3-2-0_096071_2021-03-25_final
2021-03-28 08:57:50	ga_ls7e_ard_3-2-0_094086_2021-03-27_final
2021-04-07 09:30:54	ga_ls7e_ard_3-2-0_100078_2021-04-07_final
2021-04-15 08:42:23	ga_ls7e_ard_3-2-0_092082_2021-04-14_final
2021-04-17 10:08:44	ga_ls7e_ard_3-2-0_106082_2021-04-17_final
2021-04-29 08:49:58	ga_ls7e_ard_3-2-0_094073_2021-04-28_final
2021-05-15 08:52:37	ga_ls7e_ard_3-2-0_094083_2021-05-14_final
2021-05-17 08:40:30	ga_ls7e_ard_3-2-0_092084_2021-05-16_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-24 10:21:22	ga_ls7e_ard_3-2-0_109075_2021-05-24_final
2021-05-28 08:19:01	ga_ls7e_ard_3-2-0_089079_2021-05-27_final
2021-06-01 09:33:37	ga_ls7e_ard_3-2-0_101081_2021-06-01_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-06-03 09:21:30	ga_ls7e_ard_3-2-0_099082_2021-06-02_final
2021-06-07 08:57:15	ga_ls7e_ard_3-2-0_095084_2021-06-06_final
2021-06-13 08:16:54	ga_ls7e_ard_3-2-0_089077_2021-06-12_final
2021-06-14 08:57:17	ga_ls7e_ard_3-2-0_096070_2021-06-13_final
2021-07-02 08:46:13	ga_ls7e_ard_3-2-0_094077_2021-07-01_final
2021-07-04 08:32:54	ga_ls7e_ard_3-2-0_092075_2021-07-03_final
2021-07-06 08:22:46	ga_ls7e_ard_3-2-0_090081_2021-07-05_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-07-13 08:27:09	ga_ls7e_ard_3-2-0_091078_2021-07-12_final
2021-07-13 08:27:33	ga_ls7e_ard_3-2-0_091079_2021-07-12_final
2021-07-15 08:14:13	ga_ls7e_ard_3-2-0_089077_2021-07-14_final
2021-07-21 09:11:55	ga_ls7e_ard_3-2-0_099068_2021-07-20_final
2021-07-27 10:15:35	ga_ls7e_ard_3-2-0_109074_2021-07-27_final
2021-07-29 10:05:50	ga_ls7e_ard_3-2-0_107081_2021-07-29_final
2021-08-19 08:43:38	ga_ls7e_ard_3-2-0_094081_2021-08-18_final
2021-08-22 09:14:41	ga_ls7e_ard_3-2-0_099082_2021-08-21_final
2021-08-28 08:39:29	ga_ls7e_ard_3-2-0_093088_2021-08-27_final
2021-08-31 09:06:32	ga_ls7e_ard_3-2-0_098079_2021-08-30_final
2021-09-02 10:34:28	ga_ls7e_ard_3-2-0_112083_2021-09-02_final
2021-09-08 09:56:52	ga_ls7e_ard_3-2-0_106083_2021-09-08_final
2021-09-27 10:19:41	ga_ls7e_ard_3-2-0_111067_2021-09-27_final
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-14 09:28:09	ga_ls7e_ard_3-2-0_102081_2021-10-13_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-10-18 08:57:30	ga_ls7e_ard_3-2-0_098067_2021-10-17_final
2021-10-19 08:06:34	ga_ls7e_ard_3-2-0_089079_2021-10-18_final
2021-10-24 09:59:33	ga_ls7e_ard_3-2-0_108069_2021-10-24_final
2021-11-02 08:18:50	ga_ls7e_ard_3-2-0_091082_2021-11-01_final
2021-11-07 10:12:35	ga_ls7e_ard_3-2-0_110074_2021-11-07_final
2021-12-03 09:09:54	ga_ls7e_ard_3-2-1_100078_2021-12-02_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-31 09:33:29	ga_ls7e_ard_3-2-1_104082_2021-12-31_final
2022-01-01 10:14:39	ga_ls7e_ard_3-2-1_111077_2022-01-01_final
2022-01-14 08:04:25	ga_ls7e_ard_3-2-1_090079_2022-01-13_final
2022-01-14 08:04:49	ga_ls7e_ard_3-2-1_090080_2022-01-13_final
2022-01-19 08:21:17	ga_ls7e_ard_3-2-1_093076_2022-01-18_final
2022-01-19 09:58:34	ga_ls7e_ard_3-2-1_109072_2022-01-19_final
2022-01-20 09:06:27	ga_ls7e_ard_3-2-1_100081_2022-01-19_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-01-23 09:33:04	ga_ls7e_ard_3-2-1_105071_2022-01-23_final
2022-01-27 09:12:21	ga_ls7e_ard_3-2-1_101082_2022-01-26_final
2022-02-06 08:11:32	ga_ls7e_ard_3-2-1_091087_2022-02-05_final
2022-02-08 07:55:23	ga_ls7e_ard_3-2-1_089078_2022-02-07_final
2022-02-08 09:30:16	ga_ls7e_ard_3-2-1_105068_2022-02-08_final
2022-02-08 09:35:51	ga_ls7e_ard_3-2-1_105082_2022-02-08_final
2022-02-11 10:06:27	ga_ls7e_ard_3-2-1_110082_2022-02-11_final
2022-02-15 08:02:01	ga_ls7e_ard_3-2-1_090081_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-21 09:01:39	ga_ls7e_ard_3-2-1_100077_2022-02-20_final
2022-03-01 09:51:56	ga_ls7e_ard_3-2-1_108081_2022-03-01_final
2022-03-04 08:39:16	ga_ls7e_ard_3-2-1_097070_2022-03-03_final
2022-03-07 09:09:04	ga_ls7e_ard_3-2-1_102068_2022-03-06_final
2022-03-11 10:26:49	ga_ls7e_ard_3-2-1_114078_2022-03-11_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_final
2022-03-22 08:25:55	ga_ls7e_ard_3-2-1_095072_2022-03-21_final
2022-03-25 08:56:09	ga_ls7e_ard_3-2-1_100071_2022-03-24_final
2022-03-25 09:00:56	ga_ls7e_ard_3-2-1_100083_2022-03-24_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_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