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
2015-07-12 11:04:33	ga_s2am_ard_3-2-1_52JCN_2015-07-12_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LYC_2016-02-06_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HPH_2016-04-29_final.stac-item
2016-05-28 10:34:29	ga_s2am_ard_3-2-1_53HPB_2016-05-28_final.stac-item
2016-05-29 10:05:57	ga_s2am_ard_3-2-1_55HBD_2016-05-29_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52HCK_2016-05-30_final.stac-item
2016-11-02 09:53:27	ga_s2am_ard_3-2-1_55HBU_2016-11-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KUB_2016-11-05_final.stac-item
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52KHF_2016-12-23_final
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52KHG_2016-12-23_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXB_2017-01-01_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52KDV_2017-02-01_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GDQ_2017-03-09_final
2017-04-10 10:17:04	ga_s2am_ard_3-2-1_54LYL_2017-04-10_final.stac-item
2017-04-13 10:27:07	ga_s2am_ard_3-2-1_54LWM_2017-04-13_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50KRD_2017-08-05_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52HCK_2017-11-08_final.stac-item
2017-11-22 10:37:23	ga_s2am_ard_3-2-1_53LPE_2017-11-22_final
2017-11-22 10:37:23	ga_s2am_ard_3-2-1_53LQE_2017-11-22_final.stac-item
2017-11-22 10:37:23	ga_s2am_ard_3-2-1_53LQF_2017-11-22_final.stac-item
2018-01-01 10:37:20	ga_s2am_ard_3-2-1_53LPE_2018-01-01_final
2018-02-14 10:17:02	ga_s2am_ard_3-2-1_54KWF_2018-02-14_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KWT_2018-03-27_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_51KUR_2018-07-18_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JMN_2018-08-20_final
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51LWC_2018-09-26_final
2018-11-21 10:25:29	ga_s2am_ard_3-2-1_54JVL_2018-11-21_final
2018-11-22 09:56:39	ga_s2am_ard_3-2-1_54HXG_2018-11-22_final
2018-11-26 11:11:22	ga_s2am_ard_3-2-1_52LFJ_2018-11-26_final
2018-11-26 11:16:51	ga_s2am_ard_3-2-1_51HWC_2018-11-26_final.stac-item
2018-12-25 11:42:51	ga_s2am_ard_3-2-1_51KVU_2018-12-25_final
2019-03-10 10:50:29	ga_s2am_ard_3-2-1_53LPG_2019-03-10_final
2019-06-18 10:50:38	ga_s2am_ard_3-2-1_53LPG_2019-06-18_final
2019-10-01 10:01:37	ga_s2am_ard_3-2-1_55KDB_2019-10-01_final
2019-10-15 09:47:50	ga_s2am_ard_3-2-1_55HDS_2019-10-15_final
2019-11-27 11:33:16	ga_s2am_ard_3-2-1_51KVT_2019-11-27_final
2019-12-23 11:52:57	ga_s2am_ard_3-2-1_50KQD_2019-12-23_final.stac-item
2019-12-24 11:23:08	ga_s2am_ard_3-2-1_51KXT_2019-12-24_final
2019-12-27 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2019-12-27_final
2019-12-31 11:13:49	ga_s2am_ard_3-2-1_51KZQ_2019-12-31_final
2020-01-09 11:42:51	ga_s2am_ard_3-2-1_51KVU_2020-01-09_final
2020-01-20 11:16:52	ga_s2am_ard_3-2-1_51HWC_2020-01-20_final.stac-item
2020-04-24 10:20:00	ga_s2am_ard_3-2-1_54LXP_2020-04-24_final
2020-05-31 10:17:42	ga_s2am_ard_3-2-1_54HVC_2020-05-31_final.stac-item
2020-06-07 10:07:47	ga_s2am_ard_3-2-1_54HWC_2020-06-07_final
2020-08-01 10:50:30	ga_s2am_ard_3-2-1_53LNH_2020-08-01_final.stac-item
2020-08-02 10:20:19	ga_s2am_ard_3-2-1_54LXN_2020-08-02_final
2020-11-11 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2020-11-11_final
2020-12-14 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-12-14_final
2020-12-30 10:20:39	ga_s2am_ard_3-2-1_54LYL_2020-12-30_final
2021-01-01 11:01:39	ga_s2am_ard_3-2-1_52LFJ_2021-01-01_final
2021-01-20 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-01-20_final
2021-01-27 11:21:26	ga_s2am_ard_3-2-1_51LZE_2021-01-27_final
2021-01-30 09:56:16	ga_s2am_ard_3-2-1_55HDC_2021-01-30_final
2021-02-28 10:21:44	ga_s2am_ard_3-2-1_54KWG_2021-02-28_final
2021-04-27 09:48:20	ga_s2am_ard_3-2-1_55GBQ_2021-04-27_final.stac-item
2021-05-06 11:53:01	ga_s2am_ard_3-2-1_50KQD_2021-05-06_final.stac-item
2021-05-19 10:20:25	ga_s2am_ard_3-2-1_54LYM_2021-05-19_final
2021-06-02 10:07:30	ga_s2am_ard_3-2-1_54HVD_2021-06-02_final
2021-06-29 09:53:09	ga_s2am_ard_3-2-1_55KDR_2021-06-29_final
2021-06-29 09:57:09	ga_s2am_ard_3-2-1_54HYE_2021-06-29_final
2021-07-22 11:47:10	ga_s2am_ard_3-2-1_50HNH_2021-07-22_final
2021-11-08 10:35:11	ga_s2am_ard_3-2-1_54JTN_2021-11-08_final
2021-12-20 11:14:02	ga_s2am_ard_3-2-1_52KBV_2021-12-20_final
2021-12-26 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2021-12-26_final
2022-01-14 10:26:41	ga_s2am_ard_3-2-1_53HNC_2022-01-14_final
2022-02-13 10:21:00	ga_s2am_ard_3-2-1_54LWK_2022-02-13_final
2022-05-25 09:55:31	ga_s2am_ard_3-2-1_55JBG_2022-05-25_final
2022-06-17 10:07:18	ga_s2am_ard_3-2-1_54HXE_2022-06-17_final
2022-07-10 10:17:42	ga_s2am_ard_3-2-1_54HUD_2022-07-10_final.stac-item
2022-07-18 11:16:32	ga_s2am_ard_3-2-1_52HBK_2022-07-18_final
2022-10-16 09:38:02	ga_s2am_ard_3-2-1_55GFR_2022-10-16_final.stac-item
2022-10-24 10:35:18	ga_s2am_ard_3-2-1_53JQH_2022-10-24_final.stac-item
2022-12-18 11:23:27	ga_s2am_ard_3-2-1_51KXS_2022-12-18_final.stac-item
2022-12-21 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2022-12-21_final.stac-item
2022-12-31 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2022-12-31_final.stac-item
2023-01-16 11:53:50	ga_s2am_ard_3-2-1_50KNA_2023-01-16_final.stac-item
2023-01-20 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2023-01-20_final.stac-item
2023-01-22 10:36:24	ga_s2am_ard_3-2-1_53HLD_2023-01-22_final.stac-item
2023-01-30 11:33:28	ga_s2am_ard_3-2-1_51KVS_2023-01-30_final.stac-item
2023-03-15 11:11:02	ga_s2am_ard_3-2-1_52LEL_2023-03-15_final.stac-item
2023-03-25 11:10:31	ga_s2am_ard_3-2-1_52LFN_2023-03-25_final.stac-item
2023-05-16 10:11:35	ga_s2am_ard_3-2-1_55KCB_2023-05-16_final.stac-item
2023-06-02 10:06:14	ga_s2am_ard_3-2-1_54HXJ_2023-06-02_final.stac-item
2023-06-27 10:54:21	ga_s2am_ard_3-2-1_52JHS_2023-06-27_final.stac-item
2023-07-05 10:14:30	ga_s2am_ard_3-2-1_54JXR_2023-07-05_final.stac-item
2023-07-06 09:44:01	ga_s2am_ard_3-2-1_55JHM_2023-07-06_final.stac-item
2023-07-08 10:24:45	ga_s2am_ard_3-2-1_53JQL_2023-07-08_final.stac-item
2023-08-22 09:38:18	ga_s2am_ard_3-2-1_55GFQ_2023-08-22_final.stac-item
2023-08-22 11:11:11	ga_s2am_ard_3-2-1_52LEL_2023-08-22_final.stac-item
2023-09-23 10:17:38	ga_s2am_ard_3-2-1_54HVC_2023-09-23_final.stac-item
2023-11-03 11:23:16	ga_s2am_ard_3-2-1_51KXT_2023-11-03_final.stac-item
2023-11-27 11:06:15	ga_s2am_ard_3-2-1_52HCK_2023-11-27_final.stac-item
2023-12-02 11:52:51	ga_s2am_ard_3-2-1_50KRD_2023-12-02_final.stac-item
2023-12-10 11:12:05	ga_s2am_ard_3-2-1_52KCG_2023-12-10_final.stac-item
2023-12-23 11:23:24	ga_s2am_ard_3-2-1_52KCA_2023-12-23_final.stac-item
2023-12-26 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2023-12-26_final.stac-item
2023-12-29 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-12-29_final.stac-item
2024-03-18 11:41:56	ga_s2am_ard_3-2-1_51LWC_2024-03-18_final.stac-item
2024-05-07 11:42:19	ga_s2am_ard_3-2-1_51KUB_2024-05-07_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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