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
2021-04-20 09:00:30	ga_ls7e_ard_3-2-0_095082_2021-04-19_final
2021-04-26 10:00:35	ga_ls7e_ard_3-2-0_105079_2021-04-26_final
2021-04-26 10:01:47	ga_ls7e_ard_3-2-0_105082_2021-04-26_final
2021-04-30 09:33:56	ga_ls7e_ard_3-2-0_101075_2021-04-30_final
2021-05-03 10:03:00	ga_ls7e_ard_3-2-0_106071_2021-05-03_final
2021-05-10 08:32:54	ga_ls7e_ard_3-2-0_091079_2021-05-09_final
2021-05-12 09:59:39	ga_ls7e_ard_3-2-0_105080_2021-05-12_final
2021-05-17 10:17:46	ga_ls7e_ard_3-2-0_108080_2021-05-17_final
2021-05-26 08:30:45	ga_ls7e_ard_3-2-0_091077_2021-05-25_final
2021-05-27 09:15:07	ga_ls7e_ard_3-2-0_098080_2021-05-26_final
2021-05-27 09:15:55	ga_ls7e_ard_3-2-0_098082_2021-05-26_final
2021-06-08 09:39:14	ga_ls7e_ard_3-2-0_102081_2021-06-08_final
2021-06-19 09:18:36	ga_ls7e_ard_3-2-0_099078_2021-06-18_final
2021-06-20 10:00:11	ga_ls7e_ard_3-2-0_106074_2021-06-20_final
2021-06-21 10:46:09	ga_ls7e_ard_3-2-0_113081_2021-06-21_final
2021-07-03 09:28:12	ga_ls7e_ard_3-2-0_101074_2021-07-02_final
2021-07-04 10:10:59	ga_ls7e_ard_3-2-0_108073_2021-07-04_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-07 10:39:14	ga_ls7e_ard_3-2-0_113067_2021-07-07_final
2021-07-11 10:17:22	ga_ls7e_ard_3-2-0_109075_2021-07-11_final
2021-07-13 10:08:25	ga_ls7e_ard_3-2-0_107084_2021-07-13_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-07-24 09:44:57	ga_ls7e_ard_3-2-0_104074_2021-07-24_final
2021-07-30 09:11:44	ga_ls7e_ard_3-2-0_098085_2021-07-29_final
2021-07-31 09:50:55	ga_ls7e_ard_3-2-0_105075_2021-07-31_final
2021-08-01 10:36:05	ga_ls7e_ard_3-2-0_112080_2021-08-01_final
2021-08-06 09:14:06	ga_ls7e_ard_3-2-0_099077_2021-08-05_final
2021-08-09 09:45:56	ga_ls7e_ard_3-2-0_104080_2021-08-09_final
2021-08-12 10:18:09	ga_ls7e_ard_3-2-0_109084_2021-08-12_final
2021-08-14 10:04:25	ga_ls7e_ard_3-2-0_107081_2021-08-14_final
2021-08-18 09:38:57	ga_ls7e_ard_3-2-0_103080_2021-08-18_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-24 08:57:22	ga_ls7e_ard_3-2-0_097070_2021-08-23_final
2021-08-30 08:22:34	ga_ls7e_ard_3-2-0_091077_2021-08-29_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-06 10:03:49	ga_ls7e_ard_3-2-0_108069_2021-09-06_final
2021-09-06 10:07:48	ga_ls7e_ard_3-2-0_108079_2021-09-06_final
2021-09-07 09:09:18	ga_ls7e_ard_3-2-0_099072_2021-09-06_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-13 10:14:58	ga_ls7e_ard_3-2-0_109083_2021-09-13_final
2021-09-14 09:14:52	ga_ls7e_ard_3-2-0_100072_2021-09-13_final
2021-09-23 09:06:17	ga_ls7e_ard_3-2-0_099068_2021-09-22_final
2021-09-23 10:48:21	ga_ls7e_ard_3-2-0_115076_2021-09-23_final
2021-09-27 08:42:48	ga_ls7e_ard_3-2-0_095072_2021-09-26_final
2021-09-29 10:12:44	ga_ls7e_ard_3-2-0_109081_2021-09-29_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-02 10:42:10	ga_ls7e_ard_3-2-0_114078_2021-10-02_final
2021-10-08 10:05:46	ga_ls7e_ard_3-2-0_108081_2021-10-08_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-13 10:24:40	ga_ls7e_ard_3-2-0_111083_2021-10-13_final
2021-10-19 08:06:58	ga_ls7e_ard_3-2-0_089080_2021-10-18_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-10-31 08:30:35	ga_ls7e_ard_3-2-0_093080_2021-10-30_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-02 08:20:50	ga_ls7e_ard_3-2-0_091087_2021-11-01_final
2021-11-07 10:15:23	ga_ls7e_ard_3-2-0_110081_2021-11-07_final
2021-11-13 09:32:56	ga_ls7e_ard_3-2-1_104069_2021-11-13_final
2021-11-16 10:04:20	ga_ls7e_ard_3-2-1_109071_2021-11-16_final
2021-11-20 09:41:37	ga_ls7e_ard_3-2-1_105077_2021-11-20_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-11-26 10:42:03	ga_ls7e_ard_3-2-1_115075_2021-11-26_final
2021-11-28 08:54:13	ga_ls7e_ard_3-2-1_097084_2021-11-27_final
2021-12-03 09:10:42	ga_ls7e_ard_3-2-1_100080_2021-12-02_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-04 08:14:35	ga_ls7e_ard_3-2-1_091079_2021-12-03_final
2021-12-06 09:37:43	ga_ls7e_ard_3-2-1_105071_2021-12-06_final
2021-12-06 09:39:19	ga_ls7e_ard_3-2-1_105075_2021-12-06_final
2021-12-06 09:41:19	ga_ls7e_ard_3-2-1_105080_2021-12-06_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-20 09:52:20	ga_ls7e_ard_3-2-1_107080_2021-12-20_final
2021-12-23 10:20:32	ga_ls7e_ard_3-2-1_112074_2021-12-23_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2021-12-30 08:50:44	ga_ls7e_ard_3-2-1_097083_2021-12-29_final
2022-01-03 10:02:29	ga_ls7e_ard_3-2-1_109078_2022-01-03_final
2022-01-08 10:19:21	ga_ls7e_ard_3-2-1_112075_2022-01-08_final
2022-01-13 09:01:20	ga_ls7e_ard_3-2-1_099082_2022-01-12_final
2022-01-15 08:49:11	ga_ls7e_ard_3-2-1_097083_2022-01-14_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-02-04 10:00:59	ga_ls7e_ard_3-2-1_109082_2022-02-04_final
2022-02-06 08:08:45	ga_ls7e_ard_3-2-1_091080_2022-02-05_final
2022-02-06 08:09:57	ga_ls7e_ard_3-2-1_091083_2022-02-05_final
2022-02-09 08:38:56	ga_ls7e_ard_3-2-1_096079_2022-02-08_final
2022-02-09 08:39:20	ga_ls7e_ard_3-2-1_096080_2022-02-08_final
2022-02-11 08:24:22	ga_ls7e_ard_3-2-1_094074_2022-02-10_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-02-20 09:58:34	ga_ls7e_ard_3-2-1_109080_2022-02-20_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_final
2022-02-27 08:24:00	ga_ls7e_ard_3-2-1_094077_2022-02-26_final
2022-03-01 08:11:27	ga_ls7e_ard_3-2-1_092077_2022-02-28_final
2022-03-03 08:00:30	ga_ls7e_ard_3-2-1_090081_2022-03-02_final
2022-03-03 09:36:11	ga_ls7e_ard_3-2-1_106073_2022-03-03_final
2022-03-06 10:11:10	ga_ls7e_ard_3-2-1_111084_2022-03-06_final
2022-03-10 08:05:35	ga_ls7e_ard_3-2-1_091080_2022-03-09_final
2022-03-10 09:41:40	ga_ls7e_ard_3-2-1_107073_2022-03-10_final
2022-03-15 09:59:42	ga_ls7e_ard_3-2-1_110073_2022-03-15_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-20 08:38:04	ga_ls7e_ard_3-2-1_097071_2022-03-19_final
2022-03-22 08:25:55	ga_ls7e_ard_3-2-1_095072_2022-03-21_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