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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNT_2016-01-03_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50JQQ_2016-02-19_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JPN_2016-02-19_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHP_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHP_2016-04-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHP_2016-05-15_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKN_2016-06-04_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50JQQ_2016-11-15_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JNS_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMQ_2016-11-28_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JNR_2016-12-08_final
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50JNS_2016-12-08_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HQJ_2017-02-10_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQP_2017-03-25_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HPK_2017-05-04_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JMT_2017-08-05_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JNS_2017-11-13_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLL_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMR_2017-12-03_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JMR_2017-12-23_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-04-25_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKT_2018-04-25_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMR_2018-05-02_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHN_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLT_2018-06-04_final
2018-11-08 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2018-11-08_final
2019-01-20 12:04:39	ga_s2am_ard_3-2-1_50JKT_2019-01-20_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-02-26 11:54:36	ga_s2am_ard_3-2-1_50JMT_2019-02-26_final
2019-03-05 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-03-05_final
2019-03-08 11:54:31	ga_s2am_ard_3-2-1_50JNT_2019-03-08_final
2019-06-06 11:54:39	ga_s2am_ard_3-2-1_50JNT_2019-06-06_final
2019-10-24 11:54:55	ga_s2am_ard_3-2-1_50JNS_2019-10-24_final
2019-10-27 12:04:43	ga_s2am_ard_3-2-1_50JLT_2019-10-27_final
2019-11-26 12:04:43	ga_s2am_ard_3-2-1_50JKT_2019-11-26_final
2019-12-07 11:36:31	ga_s2am_ard_3-2-1_50HQK_2019-12-07_final
2019-12-20 11:45:15	ga_s2am_ard_3-2-1_50JPQ_2019-12-20_final
2020-01-05 12:04:22	ga_s2am_ard_3-2-1_49KHP_2020-01-05_final
2020-02-08 11:45:13	ga_s2am_ard_3-2-1_50JPQ_2020-02-08_final
2020-04-25 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2020-04-25_final
2020-05-21 11:55:12	ga_s2am_ard_3-2-1_50JNR_2020-05-21_final
2020-06-10 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-10_final
2020-06-20 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-06-20_final
2020-09-05 11:45:22	ga_s2am_ard_3-2-1_50JQQ_2020-09-05_final
2020-10-28 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-10-28_final
2020-11-24 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2020-11-24_final
2020-11-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-11-30_final
2020-12-07 11:54:38	ga_s2am_ard_3-2-1_50JMT_2020-12-07_final
2020-12-24 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2020-12-24_final
2020-12-24 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2020-12-24_final
2021-01-03 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-01-03_final
2021-01-06 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-01-06_final
2021-04-06 11:54:36	ga_s2am_ard_3-2-1_50JMT_2021-04-06_final
2021-04-26 11:54:37	ga_s2am_ard_3-2-1_50JMT_2021-04-26_final
2021-05-26 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-05-26_final
2021-06-09 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-06-09_final
2021-06-09 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-09_final
2021-09-20 11:45:20	ga_s2am_ard_3-2-1_50JQQ_2021-09-20_final
2021-10-19 12:14:04	ga_s2am_ard_3-2-1_49KGR_2021-10-19_final
2021-12-19 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2021-12-19_final
2021-12-22 11:54:41	ga_s2am_ard_3-2-1_50JMT_2021-12-22_final
2021-12-29 11:45:19	ga_s2am_ard_3-2-1_50JQQ_2021-12-29_final
2022-01-21 11:54:37	ga_s2am_ard_3-2-1_50JNT_2022-01-21_final
2022-03-19 11:47:10	ga_s2am_ard_3-2-1_50HNH_2022-03-19_final
2022-03-22 11:55:09	ga_s2am_ard_3-2-1_50JNR_2022-03-22_final
2022-03-25 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-03-25_final
2022-03-29 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2022-03-29_final
2022-03-29 11:47:23	ga_s2am_ard_3-2-1_50HNG_2022-03-29_final.stac-item
2022-05-11 11:55:42	ga_s2am_ard_3-2-1_50JMP_2022-05-11_final
2022-05-11 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-05-11_final
2022-06-16 12:14:24	ga_s2am_ard_3-2-1_49KGQ_2022-06-16_final
2022-08-26 11:45:30	ga_s2am_ard_3-2-1_50JQQ_2022-08-26_final.stac-item
2022-09-08 11:55:17	ga_s2am_ard_3-2-1_50JNR_2022-09-08_final.stac-item
2022-09-08 11:55:50	ga_s2am_ard_3-2-1_50JMP_2022-09-08_final.stac-item
2022-09-08 11:56:07	ga_s2am_ard_3-2-1_50JLN_2022-09-08_final.stac-item
2022-12-13 12:14:02	ga_s2am_ard_3-2-1_49KFR_2022-12-13_nrt.stac-item
2022-12-23 12:13:59	ga_s2am_ard_3-2-1_49KFR_2022-12-23_nrt.stac-item
2023-05-23 11:46:37	ga_s2am_ard_3-2-1_50HPK_2023-05-23_final.stac-item
2023-05-29 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-05-29_final.stac-item
2023-07-25 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-07-25_final.stac-item
2023-09-16 12:04:43	ga_s2am_ard_3-2-1_50JLT_2023-09-16_final.stac-item
2023-10-16 12:06:15	ga_s2am_ard_3-2-1_49JFG_2023-10-16_nrt.stac-item
2023-11-05 12:04:38	ga_s2am_ard_3-2-1_50JLT_2023-11-05_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_50JKT_2023-11-25_final.stac-item
2023-11-29 11:45:13	ga_s2am_ard_3-2-1_50JPQ_2023-11-29_final.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-12-05_final.stac-item
2023-12-12 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2023-12-12_final.stac-item
2023-12-15 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-12-15_final.stac-item
2023-12-29 11:45:29	ga_s2am_ard_3-2-1_50JQP_2023-12-29_final.stac-item
2024-01-24 12:04:33	ga_s2am_ard_3-2-1_50JLT_2024-01-24_final.stac-item
2024-01-31 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2024-01-31_final.stac-item
2024-02-10 11:54:48	ga_s2am_ard_3-2-1_50JNS_2024-02-10_final.stac-item
2024-02-10 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2024-02-10_final.stac-item
2024-03-11 11:54:41	ga_s2am_ard_3-2-1_50JMT_2024-03-11_final.stac-item
2024-03-11 11:55:10	ga_s2am_ard_3-2-1_50JMR_2024-03-11_final.stac-item
2024-03-17 12:14:02	ga_s2am_ard_3-2-1_49KFR_2024-03-17_nrt.stac-item
2024-04-20 11:54:44	ga_s2am_ard_3-2-1_50JMT_2024-04-20_final.stac-item
2024-04-23 12:04:31	ga_s2am_ard_3-2-1_49KHP_2024-04-23_final.stac-item
2024-05-20 11:56:12	ga_s2am_ard_3-2-1_50JLM_2024-05-20_nrt.stac-item
2024-05-20 11:56:26	ga_s2am_ard_3-2-1_50JLL_2024-05-20_nrt.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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