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
2021-06-29 09:51:16	ga_ls7e_ard_3-2-0_105069_2021-06-29_final
2021-06-30 10:39:14	ga_ls7e_ard_3-2-0_112081_2021-06-30_final
2021-07-02 10:24:42	ga_ls7e_ard_3-2-0_110076_2021-07-02_final
2021-07-04 08:35:41	ga_ls7e_ard_3-2-0_092082_2021-07-03_final
2021-07-07 09:03:56	ga_ls7e_ard_3-2-0_097076_2021-07-06_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-07-18 08:43:16	ga_ls7e_ard_3-2-0_094073_2021-07-17_final
2021-07-18 10:25:20	ga_ls7e_ard_3-2-0_110081_2021-07-18_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-31 08:14:50	ga_ls7e_ard_3-2-0_089082_2021-07-30_final
2021-08-05 10:09:24	ga_ls7e_ard_3-2-0_108076_2021-08-05_final
2021-08-10 08:51:01	ga_ls7e_ard_3-2-0_095082_2021-08-09_final
2021-08-10 08:51:49	ga_ls7e_ard_3-2-0_095084_2021-08-09_final
2021-08-14 08:23:33	ga_ls7e_ard_3-2-0_091076_2021-08-13_final
2021-08-16 08:11:48	ga_ls7e_ard_3-2-0_089078_2021-08-15_final
2021-08-16 09:48:41	ga_ls7e_ard_3-2-0_105073_2021-08-16_final
2021-08-22 09:14:17	ga_ls7e_ard_3-2-0_099081_2021-08-21_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-08-26 08:50:01	ga_ls7e_ard_3-2-0_095083_2021-08-25_final
2021-09-01 08:10:26	ga_ls7e_ard_3-2-0_089078_2021-08-31_final
2021-09-01 08:12:49	ga_ls7e_ard_3-2-0_089084_2021-08-31_final
2021-09-03 09:34:47	ga_ls7e_ard_3-2-0_103073_2021-09-03_final
2021-09-03 09:36:46	ga_ls7e_ard_3-2-0_103078_2021-09-03_final
2021-09-04 08:39:28	ga_ls7e_ard_3-2-0_094074_2021-09-03_final
2021-09-04 10:21:56	ga_ls7e_ard_3-2-0_110083_2021-09-04_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_final
2021-09-07 09:07:43	ga_ls7e_ard_3-2-0_099068_2021-09-06_final
2021-09-08 09:56:04	ga_ls7e_ard_3-2-0_106081_2021-09-08_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-14 09:14:52	ga_ls7e_ard_3-2-0_100072_2021-09-13_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-16 09:02:20	ga_ls7e_ard_3-2-0_098072_2021-09-15_final
2021-09-23 09:11:52	ga_ls7e_ard_3-2-0_099082_2021-09-22_final
2021-09-25 08:59:20	ga_ls7e_ard_3-2-0_097082_2021-09-24_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-05 09:30:45	ga_ls7e_ard_3-2-0_103070_2021-10-05_final
2021-10-12 09:40:18	ga_ls7e_ard_3-2-0_104080_2021-10-12_final
2021-10-13 08:41:24	ga_ls7e_ard_3-2-0_095072_2021-10-12_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-15 10:12:07	ga_ls7e_ard_3-2-0_109083_2021-10-15_final
2021-10-17 08:17:55	ga_ls7e_ard_3-2-0_091076_2021-10-16_final
2021-10-18 09:02:41	ga_ls7e_ard_3-2-0_098080_2021-10-17_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-25 09:09:25	ga_ls7e_ard_3-2-0_099083_2021-10-24_final
2021-10-30 09:25:06	ga_ls7e_ard_3-2-0_102077_2021-10-29_final
2021-11-01 09:11:46	ga_ls7e_ard_3-2-0_100075_2021-10-31_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-03 09:01:12	ga_ls7e_ard_3-2-0_098080_2021-11-02_final
2021-11-06 09:29:02	ga_ls7e_ard_3-2-0_103073_2021-11-05_final
2021-11-07 10:11:24	ga_ls7e_ard_3-2-0_110071_2021-11-07_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-13 09:36:08	ga_ls7e_ard_3-2-1_104077_2021-11-13_final
2021-11-20 08:03:33	ga_ls7e_ard_3-2-1_089079_2021-11-19_final
2021-11-27 09:45:32	ga_ls7e_ard_3-2-1_106073_2021-11-27_final
2021-12-07 08:46:24	ga_ls7e_ard_3-2-1_096082_2021-12-06_final
2021-12-09 08:33:27	ga_ls7e_ard_3-2-1_094081_2021-12-08_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-11 08:20:54	ga_ls7e_ard_3-2-1_092081_2021-12-10_final
2021-12-12 10:41:20	ga_ls7e_ard_3-2-1_115077_2021-12-12_final
2021-12-14 08:47:55	ga_ls7e_ard_3-2-1_097072_2021-12-13_final
2021-12-16 10:15:50	ga_ls7e_ard_3-2-1_111076_2021-12-16_final
2021-12-17 09:16:56	ga_ls7e_ard_3-2-1_102068_2021-12-16_final
2021-12-19 09:07:34	ga_ls7e_ard_3-2-1_100076_2021-12-18_final
2021-12-21 10:34:18	ga_ls7e_ard_3-2-1_114077_2021-12-21_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2021-12-24 09:26:25	ga_ls7e_ard_3-2-1_103078_2021-12-23_final
2021-12-25 10:11:58	ga_ls7e_ard_3-2-1_110084_2021-12-25_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2021-12-27 08:19:20	ga_ls7e_ard_3-2-1_092081_2021-12-26_final
2021-12-28 09:00:30	ga_ls7e_ard_3-2-1_099076_2021-12-27_final
2022-01-01 08:38:10	ga_ls7e_ard_3-2-1_095083_2021-12-31_final
2022-01-01 10:17:26	ga_ls7e_ard_3-2-1_111084_2022-01-01_final
2022-01-09 09:25:38	ga_ls7e_ard_3-2-1_103080_2022-01-08_final
2022-01-12 09:57:51	ga_ls7e_ard_3-2-1_108084_2022-01-12_final
2022-01-15 10:27:16	ga_ls7e_ard_3-2-1_113081_2022-01-15_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-26 08:27:11	ga_ls7e_ard_3-2-1_094077_2022-01-25_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-02-06 09:44:50	ga_ls7e_ard_3-2-1_107073_2022-02-06_final
2022-02-08 09:31:04	ga_ls7e_ard_3-2-1_105070_2022-02-08_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-02-18 08:33:50	ga_ls7e_ard_3-2-1_095084_2022-02-17_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-03-02 08:55:25	ga_ls7e_ard_3-2-1_099079_2022-03-01_final
2022-03-03 09:36:35	ga_ls7e_ard_3-2-1_106074_2022-03-03_final
2022-03-11 08:50:44	ga_ls7e_ard_3-2-1_098085_2022-03-10_final
2022-03-11 10:25:13	ga_ls7e_ard_3-2-1_114074_2022-03-11_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final
2022-03-22 08:29:55	ga_ls7e_ard_3-2-1_095082_2022-03-21_final
2022-03-26 09:43:42	ga_ls7e_ard_3-2-1_107082_2022-03-26_final
2022-03-28 09:26:22	ga_ls7e_ard_3-2-1_105070_2022-03-27_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-04-04 07:58:10	ga_ls7e_ard_3-2-1_090083_2022-04-03_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