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
2021-03-20 09:44:20	ga_ls7e_ard_3-2-0_102077_2021-03-20_final
2021-07-23 09:02:34	ga_ls7e_ard_3-2-0_097076_2021-07-22_final
2021-07-24 09:47:44	ga_ls7e_ard_3-2-0_104081_2021-07-24_final
2021-07-25 08:51:14	ga_ls7e_ard_3-2-0_095079_2021-07-24_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-07-27 08:39:54	ga_ls7e_ard_3-2-0_093082_2021-07-26_final
2021-08-07 09:57:40	ga_ls7e_ard_3-2-0_106078_2021-08-07_final
2021-08-24 08:59:45	ga_ls7e_ard_3-2-0_097076_2021-08-23_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-08-28 08:37:05	ga_ls7e_ard_3-2-0_093082_2021-08-27_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-02 10:31:17	ga_ls7e_ard_3-2-0_112075_2021-09-02_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-05 09:25:02	ga_ls7e_ard_3-2-0_101080_2021-09-04_final
2021-09-05 09:25:26	ga_ls7e_ard_3-2-0_101081_2021-09-04_final
2021-09-06 08:28:56	ga_ls7e_ard_3-2-0_092079_2021-09-05_final
2021-09-06 08:30:08	ga_ls7e_ard_3-2-0_092082_2021-09-05_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-08 09:55:16	ga_ls7e_ard_3-2-0_106079_2021-09-08_final
2021-09-09 09:01:10	ga_ls7e_ard_3-2-0_097083_2021-09-08_final
2021-09-11 08:45:02	ga_ls7e_ard_3-2-0_095074_2021-09-10_final
2021-09-11 10:25:54	ga_ls7e_ard_3-2-0_111079_2021-09-11_final
2021-09-12 09:29:00	ga_ls7e_ard_3-2-0_102076_2021-09-11_final
2021-09-13 08:35:17	ga_ls7e_ard_3-2-0_093081_2021-09-12_final
2021-09-13 08:35:41	ga_ls7e_ard_3-2-0_093082_2021-09-12_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-15 10:00:26	ga_ls7e_ard_3-2-0_107078_2021-09-15_final
2021-09-18 10:29:52	ga_ls7e_ard_3-2-0_112075_2021-09-18_final
2021-09-18 10:30:16	ga_ls7e_ard_3-2-0_112076_2021-09-18_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-09-25 10:37:01	ga_ls7e_ard_3-2-0_113079_2021-09-25_final
2021-09-27 10:20:05	ga_ls7e_ard_3-2-0_111068_2021-09-27_final
2021-09-27 10:23:40	ga_ls7e_ard_3-2-0_111077_2021-09-27_final
2021-09-29 08:34:15	ga_ls7e_ard_3-2-0_093082_2021-09-28_final
2021-09-29 10:11:56	ga_ls7e_ard_3-2-0_109079_2021-09-29_final
2021-10-09 09:07:40	ga_ls7e_ard_3-2-0_099075_2021-10-08_final
2021-10-11 10:34:48	ga_ls7e_ard_3-2-0_113077_2021-10-11_final
2021-10-12 09:37:30	ga_ls7e_ard_3-2-0_104073_2021-10-12_final
2021-10-12 09:39:54	ga_ls7e_ard_3-2-0_104079_2021-10-12_final
2021-10-13 10:22:16	ga_ls7e_ard_3-2-0_111077_2021-10-13_final
2021-10-15 10:10:32	ga_ls7e_ard_3-2-0_109079_2021-10-15_final
2021-10-15 10:10:56	ga_ls7e_ard_3-2-0_109080_2021-10-15_final
2021-10-15 10:11:20	ga_ls7e_ard_3-2-0_109081_2021-10-15_final
2021-10-18 08:59:53	ga_ls7e_ard_3-2-0_098073_2021-10-17_final
2021-10-18 09:00:17	ga_ls7e_ard_3-2-0_098074_2021-10-17_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-10-28 09:36:51	ga_ls7e_ard_3-2-0_104075_2021-10-28_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-11-12 08:52:34	ga_ls7e_ard_3-2-0_097076_2021-11-11_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-11-12 10:32:15	ga_ls7e_ard_3-2-1_113078_2021-11-12_final
2021-11-15 09:24:46	ga_ls7e_ard_3-2-1_102080_2021-11-14_final
2021-11-15 09:25:34	ga_ls7e_ard_3-2-1_102082_2021-11-14_final
2021-11-17 09:12:13	ga_ls7e_ard_3-2-1_100080_2021-11-16_final
2021-11-19 08:58:04	ga_ls7e_ard_3-2-1_098076_2021-11-18_final
2021-11-22 09:27:28	ga_ls7e_ard_3-2-1_103073_2021-11-21_final
2021-11-23 08:32:57	ga_ls7e_ard_3-2-1_094076_2021-11-22_final
2021-11-23 08:33:21	ga_ls7e_ard_3-2-1_094077_2021-11-22_final
2021-11-23 08:33:45	ga_ls7e_ard_3-2-1_094078_2021-11-22_final
2021-11-30 08:39:16	ga_ls7e_ard_3-2-1_095078_2021-11-29_final
2021-12-07 10:23:17	ga_ls7e_ard_3-2-1_112077_2021-12-07_final
2021-12-08 09:26:46	ga_ls7e_ard_3-2-1_103075_2021-12-07_final
2021-12-10 09:16:13	ga_ls7e_ard_3-2-1_101080_2021-12-09_final
2021-12-14 08:49:31	ga_ls7e_ard_3-2-1_097076_2021-12-13_final
2021-12-23 10:22:32	ga_ls7e_ard_3-2-1_112079_2021-12-23_final
2022-01-01 08:35:46	ga_ls7e_ard_3-2-1_095077_2021-12-31_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-11 09:13:05	ga_ls7e_ard_3-2-1_101080_2022-01-10_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-01-22 08:50:42	ga_ls7e_ard_3-2-1_098073_2022-01-21_final
2022-01-24 10:19:25	ga_ls7e_ard_3-2-1_112079_2022-01-24_final
2022-02-07 08:52:18	ga_ls7e_ard_3-2-1_098081_2022-02-06_final
2022-02-09 08:37:44	ga_ls7e_ard_3-2-1_096076_2022-02-08_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-02-19 09:15:00	ga_ls7e_ard_3-2-1_102079_2022-02-18_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-02-22 09:45:13	ga_ls7e_ard_3-2-1_107078_2022-02-22_final
2022-02-25 08:36:33	ga_ls7e_ard_3-2-1_096077_2022-02-24_final
2022-02-27 08:24:48	ga_ls7e_ard_3-2-1_094079_2022-02-26_final
2022-02-27 10:03:17	ga_ls7e_ard_3-2-1_110078_2022-02-27_final
2022-03-10 09:45:15	ga_ls7e_ard_3-2-1_107082_2022-03-10_final
2022-03-11 08:49:08	ga_ls7e_ard_3-2-1_098081_2022-03-10_final
2022-03-12 09:31:06	ga_ls7e_ard_3-2-1_105078_2022-03-12_final
2022-03-13 08:35:23	ga_ls7e_ard_3-2-1_096078_2022-03-12_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-14 09:17:20	ga_ls7e_ard_3-2-1_103075_2022-03-13_final
2022-03-15 08:21:37	ga_ls7e_ard_3-2-1_094075_2022-03-14_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-28 09:26:46	ga_ls7e_ard_3-2-1_105071_2022-03-27_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