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
2020-12-06 09:04:36	ga_ls7e_ard_3-1-0_094082_2020-12-05_final
2021-01-27 08:35:21	ga_ls7e_ard_3-2-0_090080_2021-01-26_final
2021-01-30 09:06:25	ga_ls7e_ard_3-2-0_095081_2021-01-29_final
2021-02-06 09:12:05	ga_ls7e_ard_3-2-0_096081_2021-02-05_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-02-15 10:44:31	ga_ls7e_ard_3-2-0_111082_2021-02-15_final
2021-02-17 10:30:48	ga_ls7e_ard_3-2-0_109079_2021-02-17_final
2021-02-18 09:35:54	ga_ls7e_ard_3-2-0_100081_2021-02-18_final
2021-02-22 09:09:41	ga_ls7e_ard_3-2-0_096078_2021-02-21_final
2021-03-12 10:34:24	ga_ls7e_ard_3-2-0_110077_2021-03-12_final
2021-03-23 10:14:59	ga_ls7e_ard_3-2-0_107077_2021-03-23_final
2021-03-28 08:57:26	ga_ls7e_ard_3-2-0_094085_2021-03-27_final
2021-03-29 09:36:13	ga_ls7e_ard_3-2-0_101074_2021-03-29_final
2021-04-04 09:03:02	ga_ls7e_ard_3-2-0_095085_2021-04-03_final
2021-04-04 10:37:56	ga_ls7e_ard_3-2-0_111075_2021-04-04_final
2021-04-04 10:38:19	ga_ls7e_ard_3-2-0_111076_2021-04-04_final
2021-04-08 10:14:28	ga_ls7e_ard_3-2-0_107079_2021-04-08_final
2021-04-11 09:03:03	ga_ls7e_ard_3-2-0_096071_2021-04-10_final
2021-04-12 09:47:25	ga_ls7e_ard_3-2-0_103074_2021-04-12_final
2021-04-18 10:52:43	ga_ls7e_ard_3-2-0_113084_2021-04-18_final
2021-04-22 08:47:10	ga_ls7e_ard_3-2-0_093080_2021-04-21_final
2021-04-24 08:35:26	ga_ls7e_ard_3-2-0_091082_2021-04-23_final
2021-04-28 09:44:52	ga_ls7e_ard_3-2-0_103071_2021-04-28_final
2021-05-01 10:15:55	ga_ls7e_ard_3-2-0_108072_2021-05-01_final
2021-05-02 09:20:37	ga_ls7e_ard_3-2-0_099073_2021-05-01_final
2021-05-14 09:45:56	ga_ls7e_ard_3-2-0_103077_2021-05-14_final
2021-05-16 09:33:00	ga_ls7e_ard_3-2-0_101076_2021-05-16_final
2021-05-26 10:10:49	ga_ls7e_ard_3-2-0_107080_2021-05-26_final
2021-05-30 09:44:34	ga_ls7e_ard_3-2-0_103077_2021-05-30_final
2021-06-02 10:15:36	ga_ls7e_ard_3-2-0_108078_2021-06-02_final
2021-06-07 08:54:52	ga_ls7e_ard_3-2-0_095078_2021-06-06_final
2021-06-11 08:32:13	ga_ls7e_ard_3-2-0_091084_2021-06-10_final
2021-06-17 09:31:55	ga_ls7e_ard_3-2-0_101080_2021-06-17_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-06-21 09:05:41	ga_ls7e_ard_3-2-0_097077_2021-06-20_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-02 08:47:49	ga_ls7e_ard_3-2-0_094081_2021-07-01_final
2021-07-07 09:05:32	ga_ls7e_ard_3-2-0_097080_2021-07-06_final
2021-07-16 08:59:23	ga_ls7e_ard_3-2-0_096082_2021-07-15_final
2021-07-18 08:46:03	ga_ls7e_ard_3-2-0_094080_2021-07-17_final
2021-07-21 09:13:54	ga_ls7e_ard_3-2-0_099073_2021-07-20_final
2021-07-28 09:20:16	ga_ls7e_ard_3-2-0_100075_2021-07-27_final
2021-08-01 08:53:12	ga_ls7e_ard_3-2-0_096070_2021-07-31_final
2021-08-01 10:37:16	ga_ls7e_ard_3-2-0_112083_2021-08-01_final
2021-08-02 09:39:10	ga_ls7e_ard_3-2-0_103077_2021-08-02_final
2021-08-03 08:46:16	ga_ls7e_ard_3-2-0_094084_2021-08-02_final
2021-08-06 09:12:54	ga_ls7e_ard_3-2-0_099074_2021-08-05_final
2021-08-09 09:42:44	ga_ls7e_ard_3-2-0_104072_2021-08-09_final
2021-08-09 09:43:32	ga_ls7e_ard_3-2-0_104074_2021-08-09_final
2021-08-09 09:45:32	ga_ls7e_ard_3-2-0_104079_2021-08-09_final
2021-08-11 09:32:36	ga_ls7e_ard_3-2-0_102078_2021-08-11_final
2021-08-17 10:32:39	ga_ls7e_ard_3-2-0_112075_2021-08-17_final
2021-08-24 09:00:57	ga_ls7e_ard_3-2-0_097079_2021-08-23_final
2021-08-24 10:39:02	ga_ls7e_ard_3-2-0_113077_2021-08-24_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2021-09-04 08:41:04	ga_ls7e_ard_3-2-0_094078_2021-09-03_final
2021-09-05 09:24:14	ga_ls7e_ard_3-2-0_101078_2021-09-04_final
2021-09-08 09:54:28	ga_ls7e_ard_3-2-0_106077_2021-09-08_final
2021-09-09 10:37:39	ga_ls7e_ard_3-2-0_113077_2021-09-09_final
2021-09-15 10:00:02	ga_ls7e_ard_3-2-0_107077_2021-09-15_final
2021-09-22 08:26:19	ga_ls7e_ard_3-2-0_092076_2021-09-21_final
2021-09-23 09:08:17	ga_ls7e_ard_3-2-0_099073_2021-09-22_final
2021-09-26 09:38:31	ga_ls7e_ard_3-2-0_104072_2021-09-26_final
2021-09-27 10:23:17	ga_ls7e_ard_3-2-0_111076_2021-09-27_final
2021-10-04 10:28:51	ga_ls7e_ard_3-2-0_112076_2021-10-04_final
2021-10-08 08:25:42	ga_ls7e_ard_3-2-0_092078_2021-10-07_final
2021-10-20 10:28:37	ga_ls7e_ard_3-2-0_112079_2021-10-20_final
2021-10-22 08:35:36	ga_ls7e_ard_3-2-0_094075_2021-10-21_final
2021-10-29 08:43:08	ga_ls7e_ard_3-2-0_095080_2021-10-28_final
2021-10-30 09:24:18	ga_ls7e_ard_3-2-0_102075_2021-10-29_final
2021-11-05 08:46:40	ga_ls7e_ard_3-2-0_096075_2021-11-04_final
2021-11-05 08:49:51	ga_ls7e_ard_3-2-0_096083_2021-11-04_final
2021-11-07 08:34:31	ga_ls7e_ard_3-2-0_094076_2021-11-06_final
2021-11-09 10:01:38	ga_ls7e_ard_3-2-0_108078_2021-11-09_final
2021-11-14 10:20:29	ga_ls7e_ard_3-2-1_111080_2021-11-14_final
2021-11-15 09:23:10	ga_ls7e_ard_3-2-1_102076_2021-11-14_final
2021-11-23 10:13:25	ga_ls7e_ard_3-2-1_110080_2021-11-23_final
2021-11-29 09:34:59	ga_ls7e_ard_3-2-1_104078_2021-11-29_final
2021-12-03 09:08:18	ga_ls7e_ard_3-2-1_100074_2021-12-02_final
2021-12-03 09:10:18	ga_ls7e_ard_3-2-1_100079_2021-12-02_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-10 09:16:37	ga_ls7e_ard_3-2-1_101081_2021-12-09_final
2021-12-23 08:45:15	ga_ls7e_ard_3-2-1_096083_2021-12-22_final
2021-12-30 08:48:20	ga_ls7e_ard_3-2-1_097077_2021-12-29_final
2022-01-01 08:36:34	ga_ls7e_ard_3-2-1_095079_2021-12-31_final
2022-01-04 09:04:46	ga_ls7e_ard_3-2-1_100073_2022-01-03_final
2022-01-08 10:20:32	ga_ls7e_ard_3-2-1_112078_2022-01-08_final
2022-01-15 10:25:16	ga_ls7e_ard_3-2-1_113076_2022-01-15_final
2022-01-15 10:26:04	ga_ls7e_ard_3-2-1_113078_2022-01-15_final
2022-02-02 08:35:28	ga_ls7e_ard_3-2-1_095084_2022-02-01_final
2022-02-08 09:31:04	ga_ls7e_ard_3-2-1_105070_2022-02-08_final
2022-02-09 08:38:32	ga_ls7e_ard_3-2-1_096078_2022-02-08_final
2022-02-10 09:20:54	ga_ls7e_ard_3-2-1_103076_2022-02-09_final
2022-02-18 08:31:26	ga_ls7e_ard_3-2-1_095078_2022-02-17_final
2022-02-21 09:00:04	ga_ls7e_ard_3-2-1_100073_2022-02-20_final
2022-02-22 08:09:08	ga_ls7e_ard_3-2-1_091085_2022-02-21_final
2022-03-01 08:11:27	ga_ls7e_ard_3-2-1_092077_2022-02-28_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_2022-03-15_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