Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-02-24 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2020-02-24_final
2020-03-02 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2020-03-02_final
2020-03-02 11:55:34	ga_s2am_ard_3-2-1_50JMP_2020-03-02_final
2020-03-02 11:55:42	ga_s2am_ard_3-2-1_50JKP_2020-03-02_final
2020-03-02 11:55:45	ga_s2am_ard_3-2-1_50JNN_2020-03-02_final
2020-03-02 11:55:48	ga_s2am_ard_3-2-1_50JMN_2020-03-02_final
2020-03-02 11:56:00	ga_s2am_ard_3-2-1_50JNM_2020-03-02_final
2020-03-02 11:56:06	ga_s2am_ard_3-2-1_50JLM_2020-03-02_final
2020-03-02 11:56:21	ga_s2am_ard_3-2-1_50JLL_2020-03-02_final
2020-03-02 11:56:25	ga_s2am_ard_3-2-1_50HNK_2020-03-02_final
2020-03-02 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2020-03-02_final
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-03-05 12:03:59	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final
2020-03-05 12:04:00	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-03-05 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final
2020-03-05 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-05_final
2020-03-05 12:04:56	ga_s2am_ard_3-2-1_49JGM_2020-03-05_final
2020-03-05 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-03-05_final
2020-03-05 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-05_final
2020-03-05 12:06:00	ga_s2am_ard_3-2-1_50JLM_2020-03-05_final
2020-03-06 11:36:22	ga_s2am_ard_3-2-1_50JPL_2020-03-06_final
2020-03-06 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-06_final
2020-03-08 12:13:50	ga_s2am_ard_3-2-1_49KHR_2020-03-08_final
2020-03-08 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-08_final
2020-03-08 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-08_final
2020-03-08 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-08_final
2020-03-08 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-08_final
2020-03-08 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-08_final
2020-03-09 11:45:50	ga_s2am_ard_3-2-1_50JNN_2020-03-09_final
2020-03-09 11:46:04	ga_s2am_ard_3-2-1_50JNM_2020-03-09_final
2020-03-09 11:46:33	ga_s2am_ard_3-2-1_50HNK_2020-03-09_final
2020-03-09 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2020-03-09_final
2020-03-09 11:46:49	ga_s2am_ard_3-2-1_50HQH_2020-03-09_final
2020-03-09 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2020-03-09_final
2020-03-12 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2020-03-12_final
2020-03-12 11:55:35	ga_s2am_ard_3-2-1_50JMP_2020-03-12_final
2020-03-12 11:55:45	ga_s2am_ard_3-2-1_50JNN_2020-03-12_final
2020-03-12 11:55:49	ga_s2am_ard_3-2-1_50JMN_2020-03-12_final
2020-03-12 11:56:00	ga_s2am_ard_3-2-1_50JNM_2020-03-12_final
2020-03-12 11:56:07	ga_s2am_ard_3-2-1_50JLM_2020-03-12_final
2020-03-12 11:56:22	ga_s2am_ard_3-2-1_50JLL_2020-03-12_final
2020-03-12 11:56:26	ga_s2am_ard_3-2-1_50HNK_2020-03-12_final
2020-03-12 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-03-12_final
2020-03-15 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-03-15_final
2020-03-15 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-03-15_final
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final
2020-03-15 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-03-15_final
2020-03-15 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-03-15_final
2020-03-15 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-15_final
2020-03-15 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-03-15_final
2020-03-15 12:06:01	ga_s2am_ard_3-2-1_50JLM_2020-03-15_final
2020-03-15 12:06:10	ga_s2am_ard_3-2-1_50JLL_2020-03-15_final
2020-03-16 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-16_final
2020-03-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-18_final
2020-03-18 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-18_final
2020-03-18 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-03-18_final
2020-03-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-18_final
2020-03-18 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-18_final
2020-03-18 12:15:07	ga_s2am_ard_3-2-1_49JGL_2020-03-18_final
2020-03-18 12:15:16	ga_s2am_ard_3-2-1_49JGK_2020-03-18_final
2020-03-19 11:45:50	ga_s2am_ard_3-2-1_50JNN_2020-03-19_final
2020-03-19 11:45:57	ga_s2am_ard_3-2-1_50JNN_2020-03-19_final
2020-03-19 11:45:57	ga_s2am_ard_3-2-1_50JNM_2020-03-19_final
2020-03-19 11:46:05	ga_s2am_ard_3-2-1_50JNM_2020-03-19_final
2020-03-19 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-03-19_final
2020-03-19 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2020-03-19_final
2020-03-19 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-03-19_final
2020-03-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-03-19_final
2020-03-22 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2020-03-22_final
2020-03-22 11:55:35	ga_s2am_ard_3-2-1_50JMP_2020-03-22_final
2020-03-22 11:55:46	ga_s2am_ard_3-2-1_50JNN_2020-03-22_final
2020-03-22 11:55:49	ga_s2am_ard_3-2-1_50JMN_2020-03-22_final
2020-03-22 11:56:00	ga_s2am_ard_3-2-1_50JNM_2020-03-22_final
2020-03-22 11:56:07	ga_s2am_ard_3-2-1_50JLM_2020-03-22_final
2020-03-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2020-03-22_final
2020-03-22 11:56:26	ga_s2am_ard_3-2-1_50HNK_2020-03-22_final
2020-03-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-03-22_final
2020-03-25 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final
2020-03-25 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-03-25_final
2020-03-25 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-25_final
2020-03-25 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-03-25_final
2020-03-25 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-03-25_final
2020-03-25 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-25_final
2020-03-25 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-03-25_final
2020-03-25 12:06:00	ga_s2am_ard_3-2-1_50JLM_2020-03-25_final
2020-03-25 12:06:10	ga_s2am_ard_3-2-1_50JLL_2020-03-25_final
2020-03-26 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-26_final
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final
2020-03-28 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-28_final
2020-03-28 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-28_final
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final
2020-03-28 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-28_final
2020-03-28 12:15:16	ga_s2am_ard_3-2-1_49JGK_2020-03-28_final
2020-03-29 11:45:50	ga_s2am_ard_3-2-1_50JNN_2020-03-29_final
2020-03-29 11:45:57	ga_s2am_ard_3-2-1_50JNM_2020-03-29_final
2020-03-29 11:45:57	ga_s2am_ard_3-2-1_50JNN_2020-03-29_final
2020-03-29 11:46:04	ga_s2am_ard_3-2-1_50JNM_2020-03-29_final
2020-03-29 11:46:33	ga_s2am_ard_3-2-1_50HNK_2020-03-29_final
2020-03-29 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2020-03-29_final
2020-03-29 11:46:49	ga_s2am_ard_3-2-1_50HQH_2020-03-29_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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