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
2020-12-03 10:08:01	ga_ls7e_ard_3-1-0_105070_2020-12-03_final
2020-12-06 09:01:01	ga_ls7e_ard_3-1-0_094073_2020-12-05_final
2020-12-27 11:00:28	ga_ls7e_ard_3-1-0_113082_2020-12-27_final
2020-12-28 09:59:35	ga_ls7e_ard_3-1-0_104069_2020-12-28_final
2020-12-28 09:59:59	ga_ls7e_ard_3-1-0_104070_2020-12-28_final
2021-01-26 09:32:38	ga_ls7e_ard_3-2-0_099084_2021-01-26_final
2021-01-26 11:07:31	ga_ls7e_ard_3-2-0_115074_2021-01-26_final
2021-02-03 08:40:13	ga_ls7e_ard_3-2-0_091078_2021-02-02_final
2021-02-05 08:30:54	ga_ls7e_ard_3-2-0_089086_2021-02-04_final
2021-02-14 09:59:44	ga_ls7e_ard_3-2-0_104078_2021-02-14_final
2021-02-15 10:41:43	ga_ls7e_ard_3-2-0_111075_2021-02-15_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-02-22 09:06:30	ga_ls7e_ard_3-2-0_096070_2021-02-21_final
2021-02-28 08:36:32	ga_ls7e_ard_3-2-0_090089_2021-02-27_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-09 10:02:57	ga_ls7e_ard_3-2-0_105075_2021-03-09_final
2021-03-26 09:04:22	ga_ls7e_ard_3-2-0_096071_2021-03-25_final
2021-03-26 10:44:27	ga_ls7e_ard_3-2-0_112074_2021-03-26_final
2021-03-26 10:48:02	ga_ls7e_ard_3-2-0_112083_2021-03-26_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-09 10:55:39	ga_ls7e_ard_3-2-0_114074_2021-04-09_final
2021-04-13 08:56:07	ga_ls7e_ard_3-2-0_094085_2021-04-12_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-04-25 10:56:42	ga_ls7e_ard_3-2-0_114080_2021-04-25_final
2021-04-28 09:48:51	ga_ls7e_ard_3-2-0_103081_2021-04-28_final
2021-05-08 10:21:31	ga_ls7e_ard_3-2-0_109072_2021-05-08_final
2021-05-11 09:15:17	ga_ls7e_ard_3-2-0_098077_2021-05-10_final
2021-05-15 08:53:49	ga_ls7e_ard_3-2-0_094086_2021-05-14_final
2021-05-15 10:25:07	ga_ls7e_ard_3-2-0_110067_2021-05-15_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-05-26 10:08:26	ga_ls7e_ard_3-2-0_107074_2021-05-26_final
2021-05-28 08:18:13	ga_ls7e_ard_3-2-0_089077_2021-05-27_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-03 09:15:31	ga_ls7e_ard_3-2-0_099067_2021-06-02_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-04 08:26:36	ga_ls7e_ard_3-2-0_090084_2021-06-03_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-05 10:47:51	ga_ls7e_ard_3-2-0_113082_2021-06-05_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-06-14 10:37:45	ga_ls7e_ard_3-2-0_112074_2021-06-14_final
2021-06-19 09:15:01	ga_ls7e_ard_3-2-0_099069_2021-06-18_final
2021-06-19 10:56:17	ga_ls7e_ard_3-2-0_115075_2021-06-19_final
2021-07-05 09:19:40	ga_ls7e_ard_3-2-0_099084_2021-07-04_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-05 10:54:57	ga_ls7e_ard_3-2-0_115075_2021-07-05_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-15 09:49:30	ga_ls7e_ard_3-2-0_105068_2021-07-15_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-08 09:02:46	ga_ls7e_ard_3-2-0_097080_2021-08-07_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2021-08-29 09:15:52	ga_ls7e_ard_3-2-0_100071_2021-08-28_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-07 09:08:07	ga_ls7e_ard_3-2-0_099069_2021-09-06_final
2021-09-20 10:15:20	ga_ls7e_ard_3-2-0_110070_2021-09-20_final
2021-09-26 09:42:06	ga_ls7e_ard_3-2-0_104081_2021-09-26_final
2021-10-25 09:05:02	ga_ls7e_ard_3-2-0_099072_2021-10-24_final
2021-10-25 09:08:13	ga_ls7e_ard_3-2-0_099080_2021-10-24_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-11-01 09:10:58	ga_ls7e_ard_3-2-0_100073_2021-10-31_final
2021-11-14 10:22:05	ga_ls7e_ard_3-2-1_111084_2021-11-14_final
2021-11-23 10:10:38	ga_ls7e_ard_3-2-1_110073_2021-11-23_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-02 08:25:32	ga_ls7e_ard_3-2-1_093075_2021-12-01_final
2021-12-04 08:16:11	ga_ls7e_ard_3-2-1_091083_2021-12-03_final
2021-12-07 10:26:04	ga_ls7e_ard_3-2-1_112084_2021-12-07_final
2021-12-12 09:05:15	ga_ls7e_ard_3-2-1_099084_2021-12-11_final
2021-12-20 08:12:39	ga_ls7e_ard_3-2-1_091078_2021-12-19_final
2021-12-20 09:53:32	ga_ls7e_ard_3-2-1_107083_2021-12-20_final
2021-12-21 08:57:49	ga_ls7e_ard_3-2-1_098083_2021-12-20_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-26 09:13:27	ga_ls7e_ard_3-2-1_101077_2021-12-25_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2021-12-29 09:42:51	ga_ls7e_ard_3-2-1_106074_2021-12-29_final
2022-01-01 10:13:51	ga_ls7e_ard_3-2-1_111075_2022-01-01_final
2022-01-05 08:10:39	ga_ls7e_ard_3-2-1_091077_2022-01-04_final
2022-01-12 08:15:22	ga_ls7e_ard_3-2-1_092075_2022-01-11_final
2022-01-14 09:42:06	ga_ls7e_ard_3-2-1_106076_2022-01-14_final
2022-01-18 09:15:01	ga_ls7e_ard_3-2-1_102071_2022-01-17_final
2022-01-18 09:15:48	ga_ls7e_ard_3-2-1_102073_2022-01-17_final
2022-01-22 08:48:43	ga_ls7e_ard_3-2-1_098068_2022-01-21_final
2022-01-26 08:28:47	ga_ls7e_ard_3-2-1_094081_2022-01-25_final
2022-01-26 10:05:40	ga_ls7e_ard_3-2-1_110076_2022-01-26_final
2022-01-31 08:45:38	ga_ls7e_ard_3-2-1_097078_2022-01-30_final
2022-02-09 08:35:45	ga_ls7e_ard_3-2-1_096071_2022-02-08_final
2022-02-09 10:19:25	ga_ls7e_ard_3-2-1_112083_2022-02-09_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-02-15 08:00:50	ga_ls7e_ard_3-2-1_090078_2022-02-14_final
2022-03-11 08:47:57	ga_ls7e_ard_3-2-1_098078_2022-03-10_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-03-29 10:13:55	ga_ls7e_ard_3-2-1_112081_2022-03-29_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