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
2009-01-29 09:42:09	ga_ls7e_ard_3-0-0_095087_2009-01-29_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-08-05 09:39:38	ga_ls7e_ard_3-0-0_095086_2019-08-05_final
2021-01-29 09:59:19	ga_ls7e_ard_3-2-0_104074_2021-01-29_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_final
2021-02-21 08:26:54	ga_ls7e_ard_3-2-0_089079_2021-02-20_final
2021-03-05 08:53:05	ga_ls7e_ard_3-2-0_093085_2021-03-04_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-03-09 08:26:51	ga_ls7e_ard_3-2-0_089082_2021-03-08_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-03-14 08:47:48	ga_ls7e_ard_3-2-0_092089_2021-03-13_final
2021-03-17 10:54:56	ga_ls7e_ard_3-2-0_113083_2021-03-17_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-03-30 08:45:43	ga_ls7e_ard_3-2-0_092087_2021-03-29_final
2021-04-05 09:45:01	ga_ls7e_ard_3-2-0_102082_2021-04-05_final
2021-04-30 09:37:08	ga_ls7e_ard_3-2-0_101083_2021-04-30_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-03 08:30:54	ga_ls7e_ard_3-2-0_090088_2021-05-02_final
2021-05-04 09:10:05	ga_ls7e_ard_3-2-0_097078_2021-05-03_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-05-15 10:31:06	ga_ls7e_ard_3-2-0_110082_2021-05-15_final
2021-05-17 10:13:23	ga_ls7e_ard_3-2-0_108069_2021-05-17_final
2021-05-20 10:49:13	ga_ls7e_ard_3-2-0_113082_2021-05-20_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-05-24 08:42:05	ga_ls7e_ard_3-2-0_093074_2021-05-23_final
2021-05-26 08:35:08	ga_ls7e_ard_3-2-0_091088_2021-05-25_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-06-24 09:34:20	ga_ls7e_ard_3-2-0_102072_2021-06-24_final
2021-06-28 09:14:04	ga_ls7e_ard_3-2-0_098084_2021-06-27_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-02 08:44:38	ga_ls7e_ard_3-2-0_094073_2021-07-01_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-09 10:32:17	ga_ls7e_ard_3-2-0_111081_2021-07-09_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-18 10:23:20	ga_ls7e_ard_3-2-0_110076_2021-07-18_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-07-25 08:53:38	ga_ls7e_ard_3-2-0_095085_2021-07-24_final
2021-07-27 08:41:06	ga_ls7e_ard_3-2-0_093085_2021-07-26_final
2021-08-02 09:37:11	ga_ls7e_ard_3-2-0_103072_2021-08-02_final
2021-08-06 09:11:42	ga_ls7e_ard_3-2-0_099071_2021-08-05_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-08 09:03:09	ga_ls7e_ard_3-2-0_097081_2021-08-07_final
2021-08-14 10:02:01	ga_ls7e_ard_3-2-0_107075_2021-08-14_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-19 10:18:32	ga_ls7e_ard_3-2-0_110071_2021-08-19_final
2021-08-20 09:27:37	ga_ls7e_ard_3-2-0_101083_2021-08-19_final
2021-08-30 09:58:39	ga_ls7e_ard_3-2-0_107070_2021-08-30_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-09-19 09:36:33	ga_ls7e_ard_3-2-0_103081_2021-09-19_final
2021-09-24 08:17:46	ga_ls7e_ard_3-2-0_090086_2021-09-23_final
2021-09-24 09:49:51	ga_ls7e_ard_3-2-0_106069_2021-09-24_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-07 09:23:00	ga_ls7e_ard_3-2-0_101082_2021-10-06_final
2021-10-08 10:02:58	ga_ls7e_ard_3-2-0_108074_2021-10-08_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-10-10 09:48:03	ga_ls7e_ard_3-2-0_106068_2021-10-10_final
2021-10-22 08:32:25	ga_ls7e_ard_3-2-0_094067_2021-10-21_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-11-09 10:02:50	ga_ls7e_ard_3-2-0_108081_2021-11-09_final
2021-11-10 09:07:55	ga_ls7e_ard_3-2-0_099083_2021-11-09_final
2021-11-16 10:09:32	ga_ls7e_ard_3-2-1_109084_2021-11-16_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-26 09:03:34	ga_ls7e_ard_3-2-1_099076_2021-11-25_final
2021-12-03 09:11:53	ga_ls7e_ard_3-2-1_100083_2021-12-02_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-05 08:58:33	ga_ls7e_ard_3-2-1_098081_2021-12-04_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-22 09:34:59	ga_ls7e_ard_3-2-1_105068_2021-12-22_final
2021-12-23 10:24:08	ga_ls7e_ard_3-2-1_112083_2021-12-23_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-05 09:49:07	ga_ls7e_ard_3-2-1_107076_2022-01-05_final
2022-01-08 10:18:57	ga_ls7e_ard_3-2-1_112074_2022-01-08_final
2022-01-22 10:29:59	ga_ls7e_ard_3-2-1_114074_2022-01-22_final
2022-02-06 09:44:26	ga_ls7e_ard_3-2-1_107072_2022-02-06_final
2022-02-07 08:47:07	ga_ls7e_ard_3-2-1_098068_2022-02-06_final
2022-02-07 08:53:30	ga_ls7e_ard_3-2-1_098084_2022-02-06_final
2022-02-08 09:33:52	ga_ls7e_ard_3-2-1_105077_2022-02-08_final
2022-02-11 08:23:58	ga_ls7e_ard_3-2-1_094073_2022-02-10_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-06 10:07:11	ga_ls7e_ard_3-2-1_111074_2022-03-06_final
2022-03-11 08:44:45	ga_ls7e_ard_3-2-1_098070_2022-03-10_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-20 10:21:20	ga_ls7e_ard_3-2-1_113082_2022-03-20_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_2022-03-27_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_2022-03-31_final
2022-04-02 09:50:00	ga_ls7e_ard_3-2-1_108084_2022-04-02_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