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
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KVT_2016-09-13_final.stac-item
2016-11-02 11:26:18	ga_s2am_ard_3-2-1_51LZD_2016-11-02_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JKM_2016-11-11_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51JVN_2017-01-31_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KLB_2017-03-11_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JKM_2017-07-06_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JGN_2017-10-06_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JFS_2017-11-08_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52KGC_2017-11-08_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JZN_2017-12-31_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KCA_2018-02-19_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_52KBV_2018-05-30_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HQH_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUR_2018-06-08_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HUC_2018-10-30_final
2018-11-26 11:16:29	ga_s2am_ard_3-2-1_51HYD_2018-11-26_final
2018-12-01 12:05:21	ga_s2am_ard_3-2-1_49JGK_2018-12-01_final
2019-01-19 10:55:27	ga_s2am_ard_3-2-1_52JFN_2019-01-19_final
2019-01-25 11:16:17	ga_s2am_ard_3-2-1_52HBK_2019-01-25_final
2019-03-05 11:45:09	ga_s2am_ard_3-2-1_51JTK_2019-03-05_final
2019-04-10 12:03:57	ga_s2am_ard_3-2-1_50KLA_2019-04-10_final
2019-04-11 11:33:03	ga_s2am_ard_3-2-1_51KVU_2019-04-11_final
2019-06-18 10:55:46	ga_s2am_ard_3-2-1_52JGM_2019-06-18_final
2019-08-06 11:26:51	ga_s2am_ard_3-2-1_51HUD_2019-08-06_final
2019-09-19 11:05:59	ga_s2am_ard_3-2-1_52JEL_2019-09-19_final
2019-10-12 11:15:36	ga_s2am_ard_3-2-1_52JCN_2019-10-12_final
2020-01-09 11:43:09	ga_s2am_ard_3-2-1_51KUT_2020-01-09_final
2020-01-16 11:33:17	ga_s2am_ard_3-2-1_51KXS_2020-01-16_final
2020-02-19 11:14:17	ga_s2am_ard_3-2-1_51JZN_2020-02-19_final
2020-02-29 11:11:58	ga_s2am_ard_3-2-1_52KEG_2020-02-29_final
2020-04-22 11:23:26	ga_s2am_ard_3-2-1_51KYS_2020-04-22_final
2020-04-25 11:35:58	ga_s2am_ard_3-2-1_51JVG_2020-04-25_final
2020-05-05 11:33:16	ga_s2am_ard_3-2-1_51KWT_2020-05-05_final
2020-05-25 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-05-25_final
2020-06-23 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2020-06-23_final.stac-item
2020-08-03 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-08-03_final
2020-08-06 11:45:06	ga_s2am_ard_3-2-1_51JTL_2020-08-06_final
2020-08-09 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-08-09_final
2020-08-13 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-08-13_final
2020-08-16 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-08-16_final
2020-09-02 11:36:19	ga_s2am_ard_3-2-1_51JUF_2020-09-02_final
2020-09-08 11:55:10	ga_s2am_ard_3-2-1_50JNR_2020-09-08_final
2020-11-02 11:05:57	ga_s2am_ard_3-2-1_52JCM_2020-11-02_final
2020-11-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2020-11-14_final
2020-12-07 11:53:08	ga_s2am_ard_3-2-1_50KRC_2020-12-07_final
2020-12-11 11:32:51	ga_s2am_ard_3-2-1_51KXU_2020-12-11_final
2021-01-07 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-01-07_final
2021-01-14 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-01-14_final
2021-02-06 11:27:01	ga_s2am_ard_3-2-1_51HUC_2021-02-06_final
2021-05-24 11:13:48	ga_s2am_ard_3-2-1_52KDV_2021-05-24_final
2021-06-18 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-06-18_final
2021-07-12 11:44:52	ga_s2am_ard_3-2-1_50JQS_2021-07-12_final
2021-07-19 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-07-19_final
2021-08-01 11:46:26	ga_s2am_ard_3-2-1_50JNL_2021-08-01_final
2021-09-27 11:36:09	ga_s2am_ard_3-2-1_50JQM_2021-09-27_final
2021-10-11 11:16:07	ga_s2am_ard_3-2-1_52JCL_2021-10-11_final
2021-11-02 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2021-11-02_final
2022-01-08 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2022-01-08_final
2022-02-01 11:24:08	ga_s2am_ard_3-2-1_51KYP_2022-02-01_final
2022-02-27 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-02-27_final
2022-03-26 11:35:15	ga_s2am_ard_3-2-1_51JVK_2022-03-26_final
2022-03-30 11:14:44	ga_s2am_ard_3-2-1_51JYM_2022-03-30_final
2022-03-30 11:16:10	ga_s2am_ard_3-2-1_51JYF_2022-03-30_final
2022-04-29 11:14:29	ga_s2am_ard_3-2-1_52JBT_2022-04-29_final
2022-05-04 12:06:00	ga_s2am_ard_3-2-1_50JKN_2022-05-04_final
2022-05-19 11:13:10	ga_s2am_ard_3-2-1_52KDC_2022-05-19_final
2022-06-10 11:57:04	ga_s2am_ard_3-2-1_50HLJ_2022-06-10_final
2022-07-10 11:55:15	ga_s2am_ard_3-2-1_50JPR_2022-07-10_final
2022-07-28 11:13:43	ga_s2am_ard_3-2-1_52KDA_2022-07-28_final
2022-07-30 11:54:47	ga_s2am_ard_3-2-1_50JNT_2022-07-30_final
2022-08-23 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-08-23_final
2022-09-25 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2022-09-25_final.stac-item
2022-09-25 11:47:09	ga_s2am_ard_3-2-1_50HPH_2022-09-25_final.stac-item
2022-11-21 11:32:55	ga_s2am_ard_3-2-1_51KXU_2022-11-21_final.stac-item
2022-11-28 11:22:12	ga_s2am_ard_3-2-1_51KYB_2022-11-28_final.stac-item
2022-12-18 11:22:11	ga_s2am_ard_3-2-1_52KDF_2022-12-18_final.stac-item
2022-12-21 11:35:54	ga_s2am_ard_3-2-1_51JVG_2022-12-21_final.stac-item
2023-01-04 11:13:00	ga_s2am_ard_3-2-1_52KEC_2023-01-04_final.stac-item
2023-02-06 11:21:10	ga_s2am_ard_3-2-1_51LZF_2023-02-06_nrt.stac-item
2023-03-11 11:31:01	ga_s2am_ard_3-2-1_51LZF_2023-03-11_final.stac-item
2023-03-31 11:36:12	ga_s2am_ard_3-2-1_51JUF_2023-03-31_final.stac-item
2023-03-31 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-03-31_final.stac-item
2023-03-31 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-03-31_final.stac-item
2023-04-10 11:32:22	ga_s2am_ard_3-2-1_51KYA_2023-04-10_final.stac-item
2023-05-06 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-05-06_final.stac-item
2023-06-16 11:23:14	ga_s2am_ard_3-2-1_51KYT_2023-06-16_final.stac-item
2023-06-19 11:33:20	ga_s2am_ard_3-2-1_51KVT_2023-06-19_final.stac-item
2023-06-25 11:57:17	ga_s2am_ard_3-2-1_49HGC_2023-06-25_nrt.stac-item
2023-06-29 11:32:09	ga_s2am_ard_3-2-1_51LWC_2023-06-29_final.stac-item
2023-07-03 11:14:07	ga_s2am_ard_3-2-1_52KDU_2023-07-03_final.stac-item
2023-08-11 11:46:24	ga_s2am_ard_3-2-1_50JPL_2023-08-11_final.stac-item
2023-11-10 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2023-11-10_nrt.stac-item
2023-12-06 11:35:09	ga_s2am_ard_3-2-1_51JUK_2023-12-06_final.stac-item
2023-12-26 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-12-26_final.stac-item
2024-01-01 11:57:11	ga_s2am_ard_3-2-1_49HGC_2024-01-01_nrt.stac-item
2024-01-09 11:16:32	ga_s2am_ard_3-2-1_51HYD_2024-01-09_final.stac-item
2024-03-08 11:44:51	ga_s2am_ard_3-2-1_51JUL_2024-03-08_final.stac-item
2024-03-15 11:34:46	ga_s2am_ard_3-2-1_51JUM_2024-03-15_final.stac-item
2024-03-29 11:14:49	ga_s2am_ard_3-2-1_52JCR_2024-03-29_final.stac-item
2024-04-02 10:55:40	ga_s2am_ard_3-2-1_52JGM_2024-04-02_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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