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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXH_2015-11-25_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KVA_2016-02-06_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HNJ_2016-02-19_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KUS_2016-03-07_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JUG_2016-06-05_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGR_2016-06-07_final.stac-item
2016-06-15 11:36:06	ga_s2am_ard_3-2-1_51HVE_2016-06-15_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKN_2016-06-24_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JMM_2016-08-20_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KRC_2016-12-08_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KPV_2017-01-14_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-02-09_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HPJ_2017-09-21_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HPH_2017-10-11_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2017-10-17_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51KXS_2017-11-14_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLN_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMQ_2017-12-03_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQP_2017-12-30_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYL_2017-12-31_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JMT_2018-02-11_final
2018-02-21 11:50:43	ga_s2am_ard_3-2-1_50KRC_2018-02-21_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KUT_2018-02-28_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KXU_2018-03-07_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGK_2018-03-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51KZP_2018-06-09_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JUJ_2018-08-04_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JNP_2018-11-05_final
2019-03-05 11:43:19	ga_s2am_ard_3-2-1_51KVS_2019-03-05_final
2019-03-16 11:15:39	ga_s2am_ard_3-2-1_51JXH_2019-03-16_final
2019-04-11 11:34:12	ga_s2am_ard_3-2-1_51KWP_2019-04-11_final
2019-04-14 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-04-14_final
2019-06-02 12:14:21	ga_s2am_ard_3-2-1_50KKU_2019-06-02_final
2019-06-06 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-06-06_final
2019-06-23 11:46:17	ga_s2am_ard_3-2-1_50JMM_2019-06-23_final
2019-09-01 11:42:46	ga_s2am_ard_3-2-1_51KUV_2019-09-01_final
2019-10-11 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2019-10-11_final
2019-10-20 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-10-20_final
2020-02-11 11:54:55	ga_s2am_ard_3-2-1_50JPR_2020-02-11_final
2020-02-21 11:56:16	ga_s2am_ard_3-2-1_50JML_2020-02-21_final
2020-03-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-15_final
2020-03-30 11:16:33	ga_s2am_ard_3-2-1_51HYD_2020-03-30_final
2020-05-25 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-05-25_final
2020-05-28 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-05-28_final
2020-06-23 12:04:12	ga_s2am_ard_3-2-1_50KKV_2020-06-23_final.stac-item
2020-07-14 11:34:10	ga_s2am_ard_3-2-1_51KXP_2020-07-14_final
2020-08-10 11:25:12	ga_s2am_ard_3-2-1_51JYK_2020-08-10_final
2020-09-02 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-09-02_final
2020-11-18 11:24:35	ga_s2am_ard_3-2-1_51JZM_2020-11-18_final
2020-12-28 11:22:26	ga_s2am_ard_3-2-1_51KYA_2020-12-28_final
2020-12-28 11:23:21	ga_s2am_ard_3-2-1_51KZS_2020-12-28_final
2021-01-30 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-01-30_final
2021-03-01 11:36:19	ga_s2am_ard_3-2-1_50JQL_2021-03-01_final
2021-05-30 11:34:40	ga_s2am_ard_3-2-1_51JWM_2021-05-30_final
2021-06-09 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-06-09_final
2021-06-26 11:24:34	ga_s2am_ard_3-2-1_51JZM_2021-06-26_final
2021-07-22 11:47:18	ga_s2am_ard_3-2-1_50HLH_2021-07-22_final
2021-08-01 11:42:16	ga_s2am_ard_3-2-1_51KVB_2021-08-01_final
2021-10-27 11:36:43	ga_s2am_ard_3-2-1_50HPK_2021-10-27_final
2021-12-06 11:33:33	ga_s2am_ard_3-2-1_51KUS_2021-12-06_final
2022-01-15 11:33:13	ga_s2am_ard_3-2-1_51KWT_2022-01-15_final
2022-02-01 11:26:36	ga_s2am_ard_3-2-1_51HXD_2022-02-01_final
2022-02-20 11:53:12	ga_s2am_ard_3-2-1_50KRC_2022-02-20_final
2022-03-03 11:22:59	ga_s2am_ard_3-2-1_51KYU_2022-03-03_final
2022-03-03 11:25:56	ga_s2am_ard_3-2-1_51JXG_2022-03-03_final
2022-03-12 11:56:34	ga_s2am_ard_3-2-1_50HNK_2022-03-12_final
2022-04-01 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-04-01_final
2022-04-02 11:24:06	ga_s2am_ard_3-2-1_51KZP_2022-04-02_final
2022-04-12 11:26:42	ga_s2am_ard_3-2-1_51HWD_2022-04-12_final
2022-05-08 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-05-08_final
2022-06-01 11:26:05	ga_s2am_ard_3-2-1_51JWG_2022-06-01_final
2022-06-01 11:26:08	ga_s2am_ard_3-2-1_51JVG_2022-06-01_final
2022-06-11 11:23:31	ga_s2am_ard_3-2-1_51KZS_2022-06-11_final
2022-06-17 11:45:18	ga_s2am_ard_3-2-1_50JPR_2022-06-17_final
2022-06-20 11:56:26	ga_s2am_ard_3-2-1_50JKM_2022-06-20_final
2022-07-14 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-07-14_final
2022-09-18 13:31:43	ga_s2am_ard_3-2-1_46LHN_2022-09-18_interim.stac-item
2022-10-05 11:43:04	ga_s2am_ard_3-2-1_51KVU_2022-10-05_final.stac-item
2022-10-15 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-10-15_final.stac-item
2022-10-18 11:56:17	ga_s2am_ard_3-2-1_50JKM_2022-10-18_final.stac-item
2022-10-22 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2022-10-22_final.stac-item
2022-11-20 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-11-20_final.stac-item
2022-12-08 11:26:30	ga_s2am_ard_3-2-1_51HVE_2022-12-08_final.stac-item
2022-12-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-31_final.stac-item
2023-06-03 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2023-06-03_final.stac-item
2023-06-16 11:23:40	ga_s2am_ard_3-2-1_51KZR_2023-06-16_final.stac-item
2023-06-19 11:34:15	ga_s2am_ard_3-2-1_51KWP_2023-06-19_final.stac-item
2023-06-26 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2023-06-26_final.stac-item
2023-07-05 11:54:18	ga_s2am_ard_3-2-1_50KQU_2023-07-05_final.stac-item
2023-07-25 11:56:12	ga_s2am_ard_3-2-1_50JMM_2023-07-25_final.stac-item
2023-07-26 11:22:29	ga_s2am_ard_3-2-1_51KZA_2023-07-26_final.stac-item
2023-08-17 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2023-08-17_final.stac-item
2023-09-03 11:57:18	ga_s2am_ard_3-2-1_50HKH_2023-09-03_nrt.stac-item
2023-09-10 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-09-10_final.stac-item
2023-09-30 11:47:04	ga_s2am_ard_3-2-1_50HPH_2023-09-30_final.stac-item
2023-10-16 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-10-16_final.stac-item
2023-11-03 11:23:20	ga_s2am_ard_3-2-1_51KZS_2023-11-03_final.stac-item
2023-12-06 11:33:59	ga_s2am_ard_3-2-1_51KXP_2023-12-06_final.stac-item
2024-01-22 11:24:15	ga_s2am_ard_3-2-1_51JYN_2024-01-22_final.stac-item
2024-04-11 11:25:17	ga_s2am_ard_3-2-1_51JVK_2024-04-11_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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