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
2019-04-24 09:35:22	ga_ls7e_ard_3-0-0_094081_2019-04-24_final
2019-04-24 09:35:46	ga_ls7e_ard_3-0-0_094082_2019-04-24_final
2019-04-24 09:36:10	ga_ls7e_ard_3-0-0_094083_2019-04-24_final
2019-04-24 09:36:34	ga_ls7e_ard_3-0-0_094084_2019-04-24_final
2019-04-26 09:24:56	ga_ls7e_ard_3-0-0_092086_2019-04-25_final
2019-04-26 09:25:20	ga_ls7e_ard_3-0-0_092087_2019-04-25_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-04-26 09:26:08	ga_ls7e_ard_3-0-0_092089_2019-04-25_final
2019-05-15 09:49:07	ga_ls7e_ard_3-0-0_097071_2019-05-15_final
2019-06-16 09:47:09	ga_ls7e_ard_3-0-0_097069_2019-06-16_final
2019-06-16 09:47:33	ga_ls7e_ard_3-0-0_097070_2019-06-16_final
2019-06-16 09:47:57	ga_ls7e_ard_3-0-0_097071_2019-06-16_final
2019-07-24 09:16:35	ga_ls7e_ard_3-0-0_091089_2019-07-23_final
2019-07-27 09:39:47	ga_ls7e_ard_3-0-0_096070_2019-07-27_final
2019-07-27 09:40:11	ga_ls7e_ard_3-0-0_096071_2019-07-27_final
2019-07-27 09:40:35	ga_ls7e_ard_3-0-0_096072_2019-07-27_final
2019-07-27 09:40:59	ga_ls7e_ard_3-0-0_096073_2019-07-27_final
2019-07-27 09:41:23	ga_ls7e_ard_3-0-0_096074_2019-07-27_final
2019-07-27 09:41:47	ga_ls7e_ard_3-0-0_096075_2019-07-27_final
2019-07-27 09:42:11	ga_ls7e_ard_3-0-0_096076_2019-07-27_final
2019-07-29 09:30:56	ga_ls7e_ard_3-0-0_094079_2019-07-29_final
2019-07-29 09:31:20	ga_ls7e_ard_3-0-0_094080_2019-07-29_final
2019-07-29 09:31:44	ga_ls7e_ard_3-0-0_094081_2019-07-29_final
2019-08-03 09:46:05	ga_ls7e_ard_3-0-0_097071_2019-08-03_final
2020-09-08 09:13:35	ga_ls7e_ard_3-1-0_095074_2020-09-07_final
2020-09-08 09:13:59	ga_ls7e_ard_3-1-0_095075_2020-09-07_final
2020-09-08 09:14:23	ga_ls7e_ard_3-1-0_095076_2020-09-07_final
2020-09-08 09:14:47	ga_ls7e_ard_3-1-0_095077_2020-09-07_final
2020-09-08 09:15:11	ga_ls7e_ard_3-1-0_095078_2020-09-07_final
2020-09-08 09:15:35	ga_ls7e_ard_3-1-0_095079_2020-09-07_final
2020-09-08 09:15:59	ga_ls7e_ard_3-1-0_095080_2020-09-07_final
2020-09-10 09:04:41	ga_ls7e_ard_3-1-0_093083_2020-09-09_final
2020-09-10 09:05:05	ga_ls7e_ard_3-1-0_093084_2020-09-09_final
2020-09-10 09:05:29	ga_ls7e_ard_3-1-0_093085_2020-09-09_final
2020-09-10 09:05:53	ga_ls7e_ard_3-1-0_093086_2020-09-09_final
2020-09-10 09:06:17	ga_ls7e_ard_3-1-0_093087_2020-09-09_final
2020-09-10 09:06:41	ga_ls7e_ard_3-1-0_093088_2020-09-09_final
2020-09-12 08:54:59	ga_ls7e_ard_3-1-0_091090_2020-09-11_final
2020-11-02 09:14:35	ga_ls7e_ard_3-1-0_096070_2020-11-01_final
2020-11-02 09:14:59	ga_ls7e_ard_3-1-0_096071_2020-11-01_final
2020-11-02 09:15:23	ga_ls7e_ard_3-1-0_096072_2020-11-01_final
2020-11-02 09:15:47	ga_ls7e_ard_3-1-0_096073_2020-11-01_final
2020-11-02 09:16:11	ga_ls7e_ard_3-1-0_096074_2020-11-01_final
2020-11-02 09:16:35	ga_ls7e_ard_3-1-0_096075_2020-11-01_final
2020-11-02 09:16:59	ga_ls7e_ard_3-1-0_096076_2020-11-01_final
2020-11-04 09:05:41	ga_ls7e_ard_3-1-0_094079_2020-11-03_final
2020-11-04 09:06:05	ga_ls7e_ard_3-1-0_094080_2020-11-03_final
2020-11-04 09:06:29	ga_ls7e_ard_3-1-0_094081_2020-11-03_final
2020-11-04 09:06:52	ga_ls7e_ard_3-1-0_094082_2020-11-03_final
2020-11-04 09:07:16	ga_ls7e_ard_3-1-0_094083_2020-11-03_final
2020-11-06 08:56:22	ga_ls7e_ard_3-1-0_092087_2020-11-05_final
2020-11-06 08:56:46	ga_ls7e_ard_3-1-0_092088_2020-11-05_final
2020-11-09 09:20:41	ga_ls7e_ard_3-1-0_097071_2020-11-08_final
2020-11-11 09:09:23	ga_ls7e_ard_3-1-0_095074_2020-11-10_final
2020-11-11 09:09:47	ga_ls7e_ard_3-1-0_095075_2020-11-10_final
2020-11-11 09:10:11	ga_ls7e_ard_3-1-0_095076_2020-11-10_final
2020-11-11 09:10:35	ga_ls7e_ard_3-1-0_095077_2020-11-10_final
2020-11-11 09:10:59	ga_ls7e_ard_3-1-0_095078_2020-11-10_final
2020-11-11 09:11:23	ga_ls7e_ard_3-1-0_095079_2020-11-10_final
2020-11-11 09:11:47	ga_ls7e_ard_3-1-0_095080_2020-11-10_final
2020-11-18 09:13:29	ga_ls7e_ard_3-1-0_096070_2020-11-17_final
2020-11-18 09:13:53	ga_ls7e_ard_3-1-0_096071_2020-11-17_final
2020-11-18 09:14:17	ga_ls7e_ard_3-1-0_096072_2020-11-17_final
2020-11-18 09:14:41	ga_ls7e_ard_3-1-0_096073_2020-11-17_final
2020-11-18 09:15:04	ga_ls7e_ard_3-1-0_096074_2020-11-17_final
2020-11-18 09:15:28	ga_ls7e_ard_3-1-0_096075_2020-11-17_final
2020-11-18 09:15:52	ga_ls7e_ard_3-1-0_096076_2020-11-17_final
2020-11-20 09:04:34	ga_ls7e_ard_3-1-0_094079_2020-11-19_final
2020-11-20 09:04:58	ga_ls7e_ard_3-1-0_094080_2020-11-19_final
2020-11-20 09:05:22	ga_ls7e_ard_3-1-0_094081_2020-11-19_final
2020-11-20 09:05:46	ga_ls7e_ard_3-1-0_094082_2020-11-19_final
2020-11-20 09:06:10	ga_ls7e_ard_3-1-0_094083_2020-11-19_final
2020-11-20 09:06:34	ga_ls7e_ard_3-1-0_094084_2020-11-19_final
2021-01-05 09:10:00	ga_ls7e_ard_3-1-0_096070_2021-01-04_final
2021-01-05 09:10:24	ga_ls7e_ard_3-1-0_096071_2021-01-04_final
2021-01-05 09:11:36	ga_ls7e_ard_3-1-0_096074_2021-01-04_final
2021-01-05 09:12:00	ga_ls7e_ard_3-1-0_096075_2021-01-04_final
2021-01-05 09:12:24	ga_ls7e_ard_3-1-0_096076_2021-01-04_final
2021-01-23 08:59:57	ga_ls7e_ard_3-2-0_094079_2021-01-22_final
2021-01-25 08:50:15	ga_ls7e_ard_3-2-0_092086_2021-01-24_final
2021-01-28 09:14:56	ga_ls7e_ard_3-2-0_097071_2021-01-27_final
2021-02-22 09:06:30	ga_ls7e_ard_3-2-0_096070_2021-02-21_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-02-22 09:07:17	ga_ls7e_ard_3-2-0_096072_2021-02-21_final
2021-02-22 09:07:41	ga_ls7e_ard_3-2-0_096073_2021-02-21_final
2021-02-22 09:08:05	ga_ls7e_ard_3-2-0_096074_2021-02-21_final
2021-02-22 09:08:29	ga_ls7e_ard_3-2-0_096075_2021-02-21_final
2021-02-22 09:08:53	ga_ls7e_ard_3-2-0_096076_2021-02-21_final
2021-02-24 08:57:34	ga_ls7e_ard_3-2-0_094079_2021-02-23_final
2021-02-24 08:57:58	ga_ls7e_ard_3-2-0_094080_2021-02-23_final
2021-02-24 08:58:22	ga_ls7e_ard_3-2-0_094081_2021-02-23_final
2021-02-24 08:58:46	ga_ls7e_ard_3-2-0_094082_2021-02-23_final
2021-02-24 08:59:10	ga_ls7e_ard_3-2-0_094083_2021-02-23_final
2021-02-24 08:59:34	ga_ls7e_ard_3-2-0_094084_2021-02-23_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-10 09:06:03	ga_ls7e_ard_3-2-0_096072_2021-03-09_final
2021-03-10 09:06:27	ga_ls7e_ard_3-2-0_096073_2021-03-09_final
2021-03-10 09:06:51	ga_ls7e_ard_3-2-0_096074_2021-03-09_final
2021-03-10 09:07:15	ga_ls7e_ard_3-2-0_096075_2021-03-09_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

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years