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
2021-03-25 10:04:27	ga_ls7e_ard_3-2-0_105082_2021-03-25_final
2021-05-22 08:57:24	ga_ls7e_ard_3-2-0_095081_2021-05-21_final
2021-05-22 08:59:48	ga_ls7e_ard_3-2-0_095087_2021-05-21_final
2021-05-22 10:33:30	ga_ls7e_ard_3-2-0_111074_2021-05-22_final
2021-05-25 09:26:03	ga_ls7e_ard_3-2-0_100076_2021-05-24_final
2021-06-09 08:43:32	ga_ls7e_ard_3-2-0_093081_2021-06-08_final
2021-06-10 09:23:07	ga_ls7e_ard_3-2-0_100072_2021-06-09_final
2021-06-12 09:10:36	ga_ls7e_ard_3-2-0_098072_2021-06-11_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-06-18 08:34:38	ga_ls7e_ard_3-2-0_092076_2021-06-17_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-23 10:33:14	ga_ls7e_ard_3-2-0_111080_2021-06-23_final
2021-06-27 08:30:30	ga_ls7e_ard_3-2-0_091083_2021-06-26_final
2021-06-28 10:50:57	ga_ls7e_ard_3-2-0_114079_2021-06-28_final
2021-07-01 09:43:55	ga_ls7e_ard_3-2-0_103082_2021-07-01_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-13 08:27:09	ga_ls7e_ard_3-2-0_091078_2021-07-12_final
2021-07-18 10:19:45	ga_ls7e_ard_3-2-0_110067_2021-07-18_final
2021-07-20 08:31:32	ga_ls7e_ard_3-2-0_092075_2021-07-19_final
2021-07-27 08:37:54	ga_ls7e_ard_3-2-0_093077_2021-07-26_final
2021-07-28 09:23:28	ga_ls7e_ard_3-2-0_100083_2021-07-27_final
2021-07-29 08:27:22	ga_ls7e_ard_3-2-0_091082_2021-07-28_final
2021-08-01 08:53:12	ga_ls7e_ard_3-2-0_096070_2021-07-31_final
2021-08-01 08:59:12	ga_ls7e_ard_3-2-0_096085_2021-07-31_final
2021-08-03 10:24:44	ga_ls7e_ard_3-2-0_110083_2021-08-03_final
2021-08-07 09:58:28	ga_ls7e_ard_3-2-0_106080_2021-08-07_final
2021-08-12 10:17:45	ga_ls7e_ard_3-2-0_109083_2021-08-12_final
2021-08-19 08:44:26	ga_ls7e_ard_3-2-0_094083_2021-08-18_final
2021-08-19 08:44:50	ga_ls7e_ard_3-2-0_094084_2021-08-18_final
2021-08-19 10:19:19	ga_ls7e_ard_3-2-0_110073_2021-08-19_final
2021-08-24 09:00:57	ga_ls7e_ard_3-2-0_097079_2021-08-23_final
2021-08-27 09:28:24	ga_ls7e_ard_3-2-0_102071_2021-08-26_final
2021-08-28 08:34:18	ga_ls7e_ard_3-2-0_093075_2021-08-27_final
2021-08-28 10:11:59	ga_ls7e_ard_3-2-0_109072_2021-08-28_final
2021-08-31 10:45:01	ga_ls7e_ard_3-2-0_114078_2021-08-31_final
2021-09-07 09:13:18	ga_ls7e_ard_3-2-0_099082_2021-09-06_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-16 09:01:32	ga_ls7e_ard_3-2-0_098070_2021-09-15_final
2021-09-18 08:49:00	ga_ls7e_ard_3-2-0_096070_2021-09-17_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2021-09-26 09:40:54	ga_ls7e_ard_3-2-0_104078_2021-09-26_final
2021-09-27 10:22:53	ga_ls7e_ard_3-2-0_111075_2021-09-27_final
2021-09-28 09:27:58	ga_ls7e_ard_3-2-0_102077_2021-09-27_final
2021-10-02 09:00:54	ga_ls7e_ard_3-2-0_098072_2021-10-01_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-06 10:18:42	ga_ls7e_ard_3-2-0_110082_2021-10-06_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-10-17 08:20:19	ga_ls7e_ard_3-2-0_091082_2021-10-16_final
2021-10-17 09:56:24	ga_ls7e_ard_3-2-0_107075_2021-10-17_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_final
2021-10-27 10:32:34	ga_ls7e_ard_3-2-0_113075_2021-10-27_final
2021-10-27 10:35:45	ga_ls7e_ard_3-2-0_113083_2021-10-27_final
2021-11-08 09:16:29	ga_ls7e_ard_3-2-0_101073_2021-11-07_final
2021-11-09 08:25:57	ga_ls7e_ard_3-2-0_092086_2021-11-08_final
2021-11-14 08:39:37	ga_ls7e_ard_3-2-1_095075_2021-11-13_final
2021-11-14 10:15:42	ga_ls7e_ard_3-2-1_111068_2021-11-14_final
2021-11-22 09:29:04	ga_ls7e_ard_3-2-1_103077_2021-11-21_final
2021-11-23 08:34:56	ga_ls7e_ard_3-2-1_094081_2021-11-22_final
2021-11-23 08:35:20	ga_ls7e_ard_3-2-1_094082_2021-11-22_final
2021-11-29 09:34:35	ga_ls7e_ard_3-2-1_104077_2021-11-29_final
2021-12-02 10:05:36	ga_ls7e_ard_3-2-1_109078_2021-12-02_final
2021-12-04 09:51:52	ga_ls7e_ard_3-2-1_107075_2021-12-04_final
2021-12-14 08:50:43	ga_ls7e_ard_3-2-1_097079_2021-12-13_final
2021-12-16 10:18:38	ga_ls7e_ard_3-2-1_111083_2021-12-16_final
2021-12-21 08:54:13	ga_ls7e_ard_3-2-1_098074_2021-12-20_final
2021-12-25 08:31:54	ga_ls7e_ard_3-2-1_094081_2021-12-24_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2021-12-30 08:46:44	ga_ls7e_ard_3-2-1_097073_2021-12-29_final
2021-12-30 08:49:08	ga_ls7e_ard_3-2-1_097079_2021-12-29_final
2022-01-03 08:23:12	ga_ls7e_ard_3-2-1_093077_2022-01-02_final
2022-01-12 09:53:03	ga_ls7e_ard_3-2-1_108072_2022-01-12_final
2022-01-12 09:53:51	ga_ls7e_ard_3-2-1_108074_2022-01-12_final
2022-01-12 09:57:03	ga_ls7e_ard_3-2-1_108082_2022-01-12_final
2022-01-13 08:57:45	ga_ls7e_ard_3-2-1_099073_2022-01-12_final
2022-01-13 09:01:44	ga_ls7e_ard_3-2-1_099083_2022-01-12_final
2022-01-15 08:48:23	ga_ls7e_ard_3-2-1_097081_2022-01-14_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
2022-01-28 08:15:50	ga_ls7e_ard_3-2-1_092080_2022-01-27_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-03 09:17:50	ga_ls7e_ard_3-2-1_102082_2022-02-02_final
2022-02-11 10:03:15	ga_ls7e_ard_3-2-1_110074_2022-02-11_final
2022-02-15 09:39:42	ga_ls7e_ard_3-2-1_106078_2022-02-15_final
2022-02-18 10:07:55	ga_ls7e_ard_3-2-1_111072_2022-02-18_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-02-27 10:01:41	ga_ls7e_ard_3-2-1_110074_2022-02-27_final
2022-02-27 10:02:53	ga_ls7e_ard_3-2-1_110077_2022-02-27_final
2022-02-27 10:04:29	ga_ls7e_ard_3-2-1_110081_2022-02-27_final
2022-02-27 10:04:53	ga_ls7e_ard_3-2-1_110082_2022-02-27_final
2022-02-28 09:05:34	ga_ls7e_ard_3-2-1_101073_2022-02-27_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_final
2022-03-05 09:22:50	ga_ls7e_ard_3-2-1_104071_2022-03-04_final
2022-03-06 08:31:30	ga_ls7e_ard_3-2-1_095082_2022-03-05_final
2022-03-09 09:00:54	ga_ls7e_ard_3-2-1_100079_2022-03-08_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_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