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
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KCU_2016-01-31_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52KDV_2016-03-28_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50KPV_2016-10-26_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JFM_2016-12-14_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52JGS_2016-12-23_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KDU_2017-01-12_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JFM_2017-02-02_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUV_2017-02-03_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTD_2017-02-10_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JVG_2017-03-19_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVG_2017-10-05_final
2017-11-21 11:07:09	ga_s2am_ard_3-2-1_52LGK_2017-11-21_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JUG_2018-02-02_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51JYG_2018-03-31_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTH_2018-06-05_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HMH_2018-07-21_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_52HBK_2018-08-18_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JXG_2018-09-30_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KUT_2018-11-02_final
2018-11-11 12:05:33	ga_s2am_ard_3-2-1_50JLP_2018-11-11_final
2019-01-17 11:53:57	ga_s2am_ard_3-2-1_50KQV_2019-01-17_final
2019-02-01 11:00:56	ga_s2am_ard_3-2-1_52LHL_2019-02-01_final
2019-04-14 11:43:27	ga_s2am_ard_3-2-1_51KVS_2019-04-14_final
2019-04-20 10:26:57	ga_s2am_ard_3-2-1_53HNB_2019-04-20_final
2019-06-10 11:36:31	ga_s2am_ard_3-2-1_51HUE_2019-06-10_final
2019-08-03 11:16:41	ga_s2am_ard_3-2-1_51HYD_2019-08-03_final
2019-10-22 11:14:32	ga_s2am_ard_3-2-1_51JYN_2019-10-22_final
2019-11-07 11:37:00	ga_s2am_ard_3-2-1_51HUC_2019-11-07_final
2019-12-01 11:16:39	ga_s2am_ard_3-2-1_51HXD_2019-12-01_final
2019-12-24 11:23:19	ga_s2am_ard_3-2-1_51KYS_2019-12-24_final
2020-01-20 11:10:37	ga_s2am_ard_3-2-1_52LGM_2020-01-20_final
2020-02-09 11:15:43	ga_s2am_ard_3-2-1_52JBM_2020-02-09_final
2020-03-07 11:06:02	ga_s2am_ard_3-2-1_52JCL_2020-03-07_final
2020-04-28 11:46:18	ga_s2am_ard_3-2-1_50JQL_2020-04-28_final
2020-05-25 11:35:18	ga_s2am_ard_3-2-1_51JVK_2020-05-25_final
2020-06-04 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-06-04_final
2020-07-25 11:06:09	ga_s2am_ard_3-2-1_52JDL_2020-07-25_final
2020-09-09 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2020-09-09_final
2020-10-22 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-10-22_final
2020-10-22 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-10-22_final
2020-11-18 11:24:46	ga_s2am_ard_3-2-1_52JBR_2020-11-18_final
2020-11-24 11:43:53	ga_s2am_ard_3-2-1_50KQA_2020-11-24_final
2020-12-11 11:34:36	ga_s2am_ard_3-2-1_51JWM_2020-12-11_final
2020-12-11 11:34:40	ga_s2am_ard_3-2-1_51JVM_2020-12-11_final
2020-12-28 11:22:08	ga_s2am_ard_3-2-1_51KZB_2020-12-28_final
2021-01-04 11:16:20	ga_s2am_ard_3-2-1_52HBK_2021-01-04_final
2021-01-16 11:53:47	ga_s2am_ard_3-2-1_50KQA_2021-01-16_final
2021-02-16 11:25:02	ga_s2am_ard_3-2-1_51JVL_2021-02-16_final
2021-03-18 11:23:06	ga_s2am_ard_3-2-1_51KZT_2021-03-18_final
2021-05-07 11:23:27	ga_s2am_ard_3-2-1_51KXS_2021-05-07_final
2021-06-16 11:23:21	ga_s2am_ard_3-2-1_52KBB_2021-06-16_final
2021-06-23 11:13:02	ga_s2am_ard_3-2-1_52KEC_2021-06-23_final
2021-08-08 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-08-08_final
2021-11-06 11:34:21	ga_s2am_ard_3-2-1_51KUP_2021-11-06_final
2021-12-03 11:26:43	ga_s2am_ard_3-2-1_51HVD_2021-12-03_final
2022-01-05 11:33:43	ga_s2am_ard_3-2-1_51KWR_2022-01-05_final
2022-04-15 11:32:58	ga_s2am_ard_3-2-1_51KXU_2022-04-15_final
2022-04-29 11:15:56	ga_s2am_ard_3-2-1_52JBM_2022-04-29_final
2022-05-29 11:14:45	ga_s2am_ard_3-2-1_51JZM_2022-05-29_final
2022-05-29 11:16:19	ga_s2am_ard_3-2-1_51JXF_2022-05-29_final
2022-06-10 11:57:18	ga_s2am_ard_3-2-1_50HLH_2022-06-10_final
2022-06-17 11:45:04	ga_s2am_ard_3-2-1_50JPS_2022-06-17_final
2022-06-21 11:22:11	ga_s2am_ard_3-2-1_51LYC_2022-06-21_final
2022-07-13 12:06:22	ga_s2am_ard_3-2-1_50JKM_2022-07-13_final
2022-07-17 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-07-17_final
2022-08-16 11:43:27	ga_s2am_ard_3-2-1_51KUT_2022-08-16_final
2022-09-03 11:03:32	ga_s2am_ard_3-2-1_52KEB_2022-09-03_final.stac-item
2022-10-06 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-10-06_final.stac-item
2022-11-04 13:21:48	ga_s2am_ard_3-2-1_47LKG_2022-11-04_interim.stac-item
2022-11-06 10:46:28	ga_s2am_ard_3-2-1_53HLD_2022-11-06_final.stac-item
2022-11-17 13:31:40	ga_s2am_ard_3-2-1_47LKG_2022-11-17_interim.stac-item
2023-01-01 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-01-01_final.stac-item
2023-01-26 11:55:03	ga_s2am_ard_3-2-1_50JNR_2023-01-26_final.stac-item
2023-03-24 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-03-24_final.stac-item
2023-04-04 11:13:36	ga_s2am_ard_3-2-1_52KCA_2023-04-04_final.stac-item
2023-04-06 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-04-06_final.stac-item
2023-04-14 11:13:39	ga_s2am_ard_3-2-1_52KBA_2023-04-14_final.stac-item
2023-04-14 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2023-04-14_final.stac-item
2023-05-23 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2023-05-23_final.stac-item
2023-06-12 11:43:19	ga_s2am_ard_3-2-1_51KUT_2023-06-12_final.stac-item
2023-06-22 11:43:18	ga_s2am_ard_3-2-1_51KUT_2023-06-22_final.stac-item
2023-06-26 11:22:40	ga_s2am_ard_3-2-1_52KBE_2023-06-26_final.stac-item
2023-06-30 11:03:24	ga_s2am_ard_3-2-1_52KEB_2023-06-30_final.stac-item
2023-08-11 11:46:21	ga_s2am_ard_3-2-1_50JQL_2023-08-11_final.stac-item
2023-08-12 11:16:27	ga_s2am_ard_3-2-1_51HYE_2023-08-12_final.stac-item
2023-09-24 11:23:30	ga_s2am_ard_3-2-1_51KXS_2023-09-24_final.stac-item
2023-11-06 11:33:41	ga_s2am_ard_3-2-1_51KWR_2023-11-06_final.stac-item
2023-11-29 11:43:07	ga_s2am_ard_3-2-1_51KUT_2023-11-29_final.stac-item
2023-12-07 11:05:57	ga_s2am_ard_3-2-1_52JDL_2023-12-07_final.stac-item
2024-01-02 11:26:41	ga_s2am_ard_3-2-1_51HVD_2024-01-02_final.stac-item
2024-01-05 11:33:38	ga_s2am_ard_3-2-1_51KWR_2024-01-05_final.stac-item
2024-01-08 11:40:53	ga_s2am_ard_3-2-1_51LWG_2024-01-08_final.stac-item
2024-01-16 11:00:52	ga_s2am_ard_3-2-1_52LHL_2024-01-16_final.stac-item
2024-01-19 11:11:39	ga_s2am_ard_3-2-1_52LEH_2024-01-19_final.stac-item
2024-01-26 11:00:56	ga_s2am_ard_3-2-1_52LGL_2024-01-26_final.stac-item
2024-03-05 11:34:15	ga_s2am_ard_3-2-1_51KVP_2024-03-05_final.stac-item
2024-03-11 11:57:15	ga_s2am_ard_3-2-1_49HGC_2024-03-11_nrt.stac-item
2024-03-15 11:31:42	ga_s2am_ard_3-2-1_51LXD_2024-03-15_final.stac-item
2024-03-25 11:33:31	ga_s2am_ard_3-2-1_51KVS_2024-03-25_final.stac-item
2024-03-26 11:03:00	ga_s2am_ard_3-2-1_52KFC_2024-03-26_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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