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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50JPQ_2015-11-21_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JML_2015-12-24_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNP_2016-01-03_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLS_2016-01-26_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPP_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLS_2016-02-05_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLS_2016-03-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLS_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLT_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLQ_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLS_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-04-25_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_50HQK_2016-08-14_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JPP_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JLQ_2016-11-28_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JLR_2016-11-28_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHP_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JMR_2016-12-11_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JNQ_2016-12-15_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JPP_2016-12-15_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMT_2017-01-30_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50JPQ_2017-02-03_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JLQ_2017-03-01_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLQ_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLR_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLT_2017-06-29_final
2019-01-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-01-13_final
2019-02-12 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-02-12_final
2019-02-16 11:55:23	ga_s2am_ard_3-2-1_50JPP_2019-02-16_final
2019-02-16 11:55:31	ga_s2am_ard_3-2-1_50JNP_2019-02-16_final
2019-02-22 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-02-22_final
2019-03-01 12:05:00	ga_s2am_ard_3-2-1_50JLR_2019-03-01_final
2019-05-04 11:45:25	ga_s2am_ard_3-2-1_50JPQ_2019-05-04_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-12-09 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-12-09_final
2020-07-20 11:55:21	ga_s2am_ard_3-2-1_50JPQ_2020-07-20_final
2020-08-02 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-02_final
2020-08-29 11:55:31	ga_s2am_ard_3-2-1_50JPP_2020-08-29_final
2020-09-05 11:45:26	ga_s2am_ard_3-2-1_50JPQ_2020-09-05_final
2020-09-18 11:55:25	ga_s2am_ard_3-2-1_50JNQ_2020-09-18_final
2020-09-18 11:55:39	ga_s2am_ard_3-2-1_50JNP_2020-09-18_final
2021-08-24 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2021-08-24_final
2021-08-24 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-08-24_final.stac-item
2021-11-15 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-11-15_final
2021-11-22 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-11-22_final
2021-12-02 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-12-02_final
2021-12-12 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2021-12-12_final
2022-01-04 12:05:10	ga_s2am_ard_3-2-1_50JLR_2022-01-04_final
2022-01-11 11:55:14	ga_s2am_ard_3-2-1_50JLR_2022-01-11_final
2022-01-31 11:55:26	ga_s2am_ard_3-2-1_50JPP_2022-01-31_final
2022-03-05 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2022-03-05_final
2022-03-09 11:46:09	ga_s2am_ard_3-2-1_50JPM_2022-03-09_final
2022-03-12 11:55:30	ga_s2am_ard_3-2-1_50JPP_2022-03-12_final
2022-03-12 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2022-03-12_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2022-04-14 12:05:01	ga_s2am_ard_3-2-1_50JMR_2022-04-14_final
2022-04-14 12:05:07	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final
2022-04-14 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2022-04-14_final
2022-05-18 11:45:45	ga_s2am_ard_3-2-1_50JPP_2022-05-18_final
2022-05-18 11:45:56	ga_s2am_ard_3-2-1_50JPN_2022-05-18_final
2022-06-30 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-06-30_final
2022-08-22 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-08-22_final.stac-item
2022-10-28 11:55:16	ga_s2am_ard_3-2-1_50JLR_2022-10-28_final.stac-item
2022-11-04 11:45:25	ga_s2am_ard_3-2-1_50JPQ_2022-11-04_final.stac-item
2022-11-27 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2022-11-27_final.stac-item
2022-12-30 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2022-12-30_final.stac-item
2023-02-12 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-02-12_final.stac-item
2023-02-15 11:55:23	ga_s2am_ard_3-2-1_50JPP_2023-02-15_final.stac-item
2023-03-14 11:45:18	ga_s2am_ard_3-2-1_50JPQ_2023-03-14_final.stac-item
2023-03-20 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-03-20_final.stac-item
2023-04-19 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-04-19_final.stac-item
2023-05-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2023-05-16_final.stac-item
2023-08-01 11:45:27	ga_s2am_ard_3-2-1_50JPQ_2023-08-01_final.stac-item
2023-08-14 11:55:03	ga_s2am_ard_3-2-1_50JLS_2023-08-14_final.stac-item
2023-08-14 11:55:21	ga_s2am_ard_3-2-1_50JPQ_2023-08-14_final.stac-item
2023-08-24 11:55:19	ga_s2am_ard_3-2-1_50JLR_2023-08-24_final.stac-item
2023-08-24 11:55:22	ga_s2am_ard_3-2-1_50JPQ_2023-08-24_final.stac-item
2023-08-24 11:55:32	ga_s2am_ard_3-2-1_50JPP_2023-08-24_final.stac-item
2023-11-19 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-11-19_final.stac-item
2023-12-02 11:55:08	ga_s2am_ard_3-2-1_50JPQ_2023-12-02_final.stac-item
2023-12-12 11:55:08	ga_s2am_ard_3-2-1_50JLR_2023-12-12_final.stac-item
2023-12-12 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2023-12-12_final.stac-item
2023-12-12 11:55:30	ga_s2am_ard_3-2-1_50JNP_2023-12-12_final.stac-item
2023-12-15 12:04:54	ga_s2am_ard_3-2-1_50JMR_2023-12-15_final.stac-item
2023-12-19 11:45:32	ga_s2am_ard_3-2-1_50JPP_2023-12-19_final.stac-item
2023-12-19 11:45:35	ga_s2am_ard_3-2-1_50JNP_2023-12-19_final.stac-item
2024-01-21 11:55:08	ga_s2am_ard_3-2-1_50JPQ_2024-01-21_final.stac-item
2024-01-28 11:46:48	ga_s2am_ard_3-2-1_50HQH_2024-01-28_final.stac-item
2024-02-10 11:55:23	ga_s2am_ard_3-2-1_50JPP_2024-02-10_final.stac-item
2024-02-20 11:55:24	ga_s2am_ard_3-2-1_50JPP_2024-02-20_final.stac-item
2024-02-23 12:04:57	ga_s2am_ard_3-2-1_50JMR_2024-02-23_final.stac-item
2024-02-27 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2024-02-27_final.stac-item
2024-03-01 11:55:13	ga_s2am_ard_3-2-1_50JLR_2024-03-01_final.stac-item
2024-03-21 11:55:14	ga_s2am_ard_3-2-1_50JLR_2024-03-21_final.stac-item
2024-03-31 11:55:12	ga_s2am_ard_3-2-1_50JLR_2024-03-31_final.stac-item
2024-04-10 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2024-04-10_final.stac-item
2024-04-20 11:55:16	ga_s2am_ard_3-2-1_50JLR_2024-04-20_final.stac-item

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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