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
2000-01-11 09:06:09	ga_ls7e_ard_3-0-0_089082_2000-01-10_final
2000-01-11 09:06:33	ga_ls7e_ard_3-0-0_089083_2000-01-10_final
2000-05-02 09:05:35	ga_ls7e_ard_3-0-0_089082_2000-05-01_final
2000-05-02 09:05:59	ga_ls7e_ard_3-0-0_089083_2000-05-01_final
2000-05-02 09:06:23	ga_ls7e_ard_3-0-0_089084_2000-05-01_final
2004-01-04 09:12:12	ga_ls7e_ard_3-0-0_091076_2004-01-03_final
2004-01-06 09:01:02	ga_ls7e_ard_3-0-0_089079_2004-01-05_final
2004-01-06 09:01:26	ga_ls7e_ard_3-0-0_089080_2004-01-05_final
2004-01-06 09:01:50	ga_ls7e_ard_3-1-0_089081_2004-01-05_final
2004-01-06 09:02:14	ga_ls7e_ard_3-0-0_089082_2004-01-05_final
2004-02-21 09:12:23	ga_ls7e_ard_3-0-0_091076_2004-02-20_final
2004-02-23 09:01:12	ga_ls7e_ard_3-0-0_089079_2004-02-22_final
2004-02-23 09:01:36	ga_ls7e_ard_3-0-0_089080_2004-02-22_final
2004-02-23 09:02:00	ga_ls7e_ard_3-1-0_089081_2004-02-22_final
2004-03-17 09:07:09	ga_ls7e_ard_3-0-0_090078_2004-03-16_final
2004-03-17 09:07:33	ga_ls7e_ard_3-0-0_090079_2004-03-16_final
2004-03-17 09:07:57	ga_ls7e_ard_3-0-0_090080_2004-03-16_final
2004-05-11 09:12:28	ga_ls7e_ard_3-0-0_091076_2004-05-10_final
2004-05-13 09:01:18	ga_ls7e_ard_3-0-0_089079_2004-05-12_final
2004-05-13 09:01:42	ga_ls7e_ard_3-0-0_089080_2004-05-12_final
2004-05-13 09:02:06	ga_ls7e_ard_3-1-0_089081_2004-05-12_final
2004-05-13 09:02:30	ga_ls7e_ard_3-0-0_089082_2004-05-12_final
2004-05-13 09:02:54	ga_ls7e_ard_3-0-0_089083_2004-05-12_final
2004-05-13 09:03:18	ga_ls7e_ard_3-0-0_089084_2004-05-12_final
2004-06-28 09:12:18	ga_ls7e_ard_3-0-0_091076_2004-06-27_final
2004-06-30 09:01:08	ga_ls7e_ard_3-0-0_089079_2004-06-29_final
2004-06-30 09:01:32	ga_ls7e_ard_3-0-0_089080_2004-06-29_final
2004-06-30 09:01:56	ga_ls7e_ard_3-1-0_089081_2004-06-29_final
2004-06-30 09:02:20	ga_ls7e_ard_3-0-0_089082_2004-06-29_final
2004-06-30 09:02:44	ga_ls7e_ard_3-0-0_089083_2004-06-29_final
2004-06-30 09:03:08	ga_ls7e_ard_3-0-0_089084_2004-06-29_final
2004-08-17 09:00:55	ga_ls7e_ard_3-0-0_089079_2004-08-16_final
2004-08-17 09:01:19	ga_ls7e_ard_3-0-0_089080_2004-08-16_final
2004-08-17 09:01:43	ga_ls7e_ard_3-1-0_089081_2004-08-16_final
2004-08-17 09:02:07	ga_ls7e_ard_3-0-0_089082_2004-08-16_final
2004-08-17 09:02:31	ga_ls7e_ard_3-0-0_089083_2004-08-16_final
2008-04-04 09:13:25	ga_ls7e_ard_3-0-0_091076_2008-04-03_final
2008-04-06 09:02:15	ga_ls7e_ard_3-0-0_089079_2008-04-05_final
2008-04-06 09:02:39	ga_ls7e_ard_3-0-0_089080_2008-04-05_final
2008-04-06 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-04-05_final
2008-04-06 09:03:27	ga_ls7e_ard_3-0-0_089082_2008-04-05_final
2008-04-06 09:03:51	ga_ls7e_ard_3-0-0_089083_2008-04-05_final
2008-04-06 09:04:15	ga_ls7e_ard_3-0-0_089084_2008-04-05_final
2008-08-10 09:12:28	ga_ls7e_ard_3-0-0_091076_2008-08-09_final
2008-12-16 09:12:47	ga_ls7e_ard_3-0-0_091076_2008-12-15_final
2009-01-01 09:12:54	ga_ls7e_ard_3-1-0_091076_2008-12-31_final
2020-12-17 08:42:51	ga_ls7e_ard_3-1-0_091076_2020-12-16_final
2021-01-27 08:34:09	ga_ls7e_ard_3-2-0_090077_2021-01-26_final
2021-01-27 08:34:33	ga_ls7e_ard_3-2-0_090078_2021-01-26_final
2021-01-27 08:34:57	ga_ls7e_ard_3-2-0_090079_2021-01-26_final
2021-01-27 08:35:21	ga_ls7e_ard_3-2-0_090080_2021-01-26_final
2021-01-27 08:35:45	ga_ls7e_ard_3-2-0_090081_2021-01-26_final
2021-02-03 08:39:25	ga_ls7e_ard_3-2-0_091076_2021-02-02_final
2021-02-21 08:26:54	ga_ls7e_ard_3-2-0_089079_2021-02-20_final
2021-02-21 08:27:18	ga_ls7e_ard_3-2-0_089080_2021-02-20_final
2021-02-21 08:28:30	ga_ls7e_ard_3-2-0_089083_2021-02-20_final
2021-02-21 08:28:54	ga_ls7e_ard_3-2-0_089084_2021-02-20_final
2021-02-21 08:29:18	ga_ls7e_ard_3-2-0_089085_2021-02-20_final
2021-02-28 08:32:33	ga_ls7e_ard_3-2-0_090079_2021-02-27_final
2021-02-28 08:32:57	ga_ls7e_ard_3-2-0_090080_2021-02-27_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-23 08:35:42	ga_ls7e_ard_3-2-0_091076_2021-03-22_final
2021-03-25 08:24:23	ga_ls7e_ard_3-2-0_089079_2021-03-24_final
2021-03-25 08:24:47	ga_ls7e_ard_3-2-0_089080_2021-03-24_final
2021-03-25 08:25:11	ga_ls7e_ard_3-2-0_089081_2021-03-24_final
2021-03-25 08:25:35	ga_ls7e_ard_3-2-0_089082_2021-03-24_final
2021-03-25 08:25:59	ga_ls7e_ard_3-2-0_089083_2021-03-24_final
2021-03-25 08:26:23	ga_ls7e_ard_3-2-0_089084_2021-03-24_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-04-01 08:29:12	ga_ls7e_ard_3-2-0_090077_2021-03-31_final
2021-04-01 08:29:36	ga_ls7e_ard_3-2-0_090078_2021-03-31_final
2021-04-01 08:29:59	ga_ls7e_ard_3-2-0_090079_2021-03-31_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-10 08:23:04	ga_ls7e_ard_3-2-0_089079_2021-04-09_final
2021-04-10 08:23:28	ga_ls7e_ard_3-2-0_089080_2021-04-09_final
2021-04-10 08:23:52	ga_ls7e_ard_3-2-0_089081_2021-04-09_final
2021-04-10 08:24:16	ga_ls7e_ard_3-2-0_089082_2021-04-09_final
2021-04-10 08:24:40	ga_ls7e_ard_3-2-0_089083_2021-04-09_final
2021-04-10 08:25:04	ga_ls7e_ard_3-2-0_089084_2021-04-09_final
2022-02-15 08:00:26	ga_ls7e_ard_3-2-1_090077_2022-02-14_final
2022-02-15 08:00:50	ga_ls7e_ard_3-2-1_090078_2022-02-14_final
2022-02-15 08:01:14	ga_ls7e_ard_3-2-1_090079_2022-02-14_final
2022-02-15 08:01:38	ga_ls7e_ard_3-2-1_090080_2022-02-14_final
2022-02-15 08:02:01	ga_ls7e_ard_3-2-1_090081_2022-02-14_final
2022-02-22 08:05:33	ga_ls7e_ard_3-2-1_091076_2022-02-21_final
2022-03-03 07:58:06	ga_ls7e_ard_3-2-1_090075_2022-03-02_final
2022-03-03 07:58:30	ga_ls7e_ard_3-2-1_090076_2022-03-02_final
2022-03-03 07:58:54	ga_ls7e_ard_3-2-1_090077_2022-03-02_final
2022-03-03 07:59:18	ga_ls7e_ard_3-2-1_090078_2022-03-02_final
2022-03-03 07:59:42	ga_ls7e_ard_3-2-1_090079_2022-03-02_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-03 08:00:30	ga_ls7e_ard_3-2-1_090081_2022-03-02_final
2022-03-12 07:52:37	ga_ls7e_ard_3-2-1_089079_2022-03-11_final
2022-03-12 07:53:01	ga_ls7e_ard_3-2-1_089080_2022-03-11_final
2022-03-12 07:53:25	ga_ls7e_ard_3-2-1_089081_2022-03-11_final
2022-03-12 07:53:49	ga_ls7e_ard_3-2-1_089082_2022-03-11_final
2022-03-12 07:54:13	ga_ls7e_ard_3-2-1_089083_2022-03-11_final
2022-03-12 07:54:37	ga_ls7e_ard_3-2-1_089084_2022-03-11_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