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_52JFP_2015-07-12_final.stac-item
2015-08-18 10:53:11	ga_s2am_ard_3-2-1_52JGR_2015-08-18_final.stac-item
2016-07-14 10:26:41	ga_s2am_ard_3-2-1_53HNB_2016-07-14_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KVT_2016-07-28_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53HLD_2016-08-16_final.stac-item
2016-12-27 10:43:36	ga_s2am_ard_3-2-1_53HME_2016-12-27_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HWE_2017-01-18_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JLN_2017-02-09_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGK_2017-03-21_final
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KWT_2017-04-01_final.stac-item
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HWD_2017-07-04_final
2018-01-21 10:43:00	ga_s2am_ard_3-2-1_53HLD_2018-01-21_final
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52LHM_2018-02-26_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYF_2018-03-11_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HPH_2018-05-09_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JWF_2018-06-02_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUP_2018-06-08_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPR_2018-06-18_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVV_2018-07-18_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KWT_2018-09-23_final
2018-11-01 10:17:02	ga_s2am_ard_3-2-1_53HPD_2018-11-01_final
2018-11-14 12:14:54	ga_s2am_ard_3-2-1_49JFM_2018-11-14_final
2019-02-02 12:13:36	ga_s2am_ard_3-2-1_50KKB_2019-02-02_final
2019-02-20 11:32:33	ga_s2am_ard_3-2-1_51KYV_2019-02-20_final
2019-03-15 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-03-15_final
2019-06-23 11:46:19	ga_s2am_ard_3-2-1_50JQL_2019-06-23_final
2019-07-23 11:43:20	ga_s2am_ard_3-2-1_51KUT_2019-07-23_final
2019-10-11 11:43:17	ga_s2am_ard_3-2-1_51KUT_2019-10-11_final
2019-11-24 11:21:59	ga_s2am_ard_3-2-1_51LYC_2019-11-24_final
2019-11-26 10:26:50	ga_s2am_ard_3-2-1_53HPB_2019-11-26_final
2019-11-28 11:00:44	ga_s2am_ard_3-2-1_52LHM_2019-11-28_final
2019-12-20 11:43:09	ga_s2am_ard_3-2-1_51KUT_2019-12-20_final
2019-12-21 11:12:00	ga_s2am_ard_3-2-1_52KDG_2019-12-21_final
2019-12-27 11:33:07	ga_s2am_ard_3-2-1_51KWT_2019-12-27_final
2019-12-31 11:11:28	ga_s2am_ard_3-2-1_52LEJ_2019-12-31_final
2020-01-07 11:03:07	ga_s2am_ard_3-2-1_52KGB_2020-01-07_final
2020-02-08 11:43:17	ga_s2am_ard_3-2-1_51KVS_2020-02-08_final
2020-02-09 11:15:22	ga_s2am_ard_3-2-1_51JXJ_2020-02-09_final
2020-02-28 11:41:54	ga_s2am_ard_3-2-1_51LVC_2020-02-28_final
2020-04-21 11:53:22	ga_s2am_ard_3-2-1_50KPC_2020-04-21_final
2020-06-04 11:32:28	ga_s2am_ard_3-2-1_51KYA_2020-06-04_final
2020-07-06 10:36:15	ga_s2am_ard_3-2-1_53HME_2020-07-06_final
2020-07-17 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-07-17_final
2020-10-11 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-11_final
2020-10-31 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-10-31_final
2020-11-18 11:23:46	ga_s2am_ard_3-2-1_51KXR_2020-11-18_final
2020-11-18 11:25:41	ga_s2am_ard_3-2-1_51JXH_2020-11-18_final
2020-11-27 11:57:07	ga_s2am_ard_3-2-1_50HMH_2020-11-27_final
2020-12-04 11:47:13	ga_s2am_ard_3-2-1_50HLH_2020-12-04_final
2021-02-01 10:36:16	ga_s2am_ard_3-2-1_53HLE_2021-02-01_final
2021-02-15 10:16:51	ga_s2am_ard_3-2-1_53HQB_2021-02-15_final
2021-03-14 11:43:24	ga_s2am_ard_3-2-1_51KVS_2021-03-14_final
2021-04-04 11:10:34	ga_s2am_ard_3-2-1_52LHM_2021-04-04_final
2021-07-02 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2021-07-02_final
2021-08-08 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-08-08_final
2021-08-18 11:35:18	ga_s2am_ard_3-2-1_51JUK_2021-08-18_final
2021-11-06 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-11-06_final
2021-11-07 11:03:05	ga_s2am_ard_3-2-1_52KFC_2021-11-07_final
2021-11-20 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-11-20_final
2021-12-07 11:06:23	ga_s2am_ard_3-2-1_52HBK_2021-12-07_final
2022-01-05 11:32:21	ga_s2am_ard_3-2-1_51KVB_2022-01-05_final
2022-01-26 11:01:50	ga_s2am_ard_3-2-1_52LFH_2022-01-26_final
2022-05-29 11:13:36	ga_s2am_ard_3-2-1_51KZS_2022-05-29_final
2022-05-30 10:46:06	ga_s2am_ard_3-2-1_53JKF_2022-05-30_final
2022-06-04 11:35:34	ga_s2am_ard_3-2-1_51JVJ_2022-06-04_final
2022-06-14 11:33:38	ga_s2am_ard_3-2-1_51KWS_2022-06-14_final
2022-06-24 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-06-24_final
2022-09-09 11:24:19	ga_s2am_ard_3-2-1_51KYP_2022-09-09_final.stac-item
2022-09-26 11:16:27	ga_s2am_ard_3-2-1_51JWF_2022-09-26_final.stac-item
2022-09-29 11:23:57	ga_s2am_ard_3-2-1_52KBV_2022-09-29_final.stac-item
2022-11-01 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2022-11-01_final.stac-item
2023-01-04 11:13:03	ga_s2am_ard_3-2-1_52KDC_2023-01-04_final.stac-item
2023-02-03 11:16:39	ga_s2am_ard_3-2-1_51HXD_2023-02-03_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-05-09_final.stac-item
2023-05-20 11:33:18	ga_s2am_ard_3-2-1_51KVT_2023-05-20_final.stac-item
2023-05-27 11:24:08	ga_s2am_ard_3-2-1_52KBU_2023-05-27_final.stac-item
2023-05-30 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-05-30_final.stac-item
2023-05-30 11:33:34	ga_s2am_ard_3-2-1_51KVS_2023-05-30_final.stac-item
2023-06-16 11:23:17	ga_s2am_ard_3-2-1_51KXT_2023-06-16_final.stac-item
2023-06-29 11:32:09	ga_s2am_ard_3-2-1_51LWC_2023-06-29_final.stac-item
2023-07-19 11:33:35	ga_s2am_ard_3-2-1_51KVS_2023-07-19_final.stac-item
2023-07-26 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2023-07-26_final.stac-item
2023-09-26 10:26:34	ga_s2am_ard_3-2-1_53HQC_2023-09-26_final.stac-item
2023-10-01 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2023-10-01_final.stac-item
2023-10-16 10:26:24	ga_s2am_ard_3-2-1_53HQC_2023-10-16_final.stac-item
2023-10-16 10:26:26	ga_s2am_ard_3-2-1_53HPD_2023-10-16_final.stac-item
2023-10-18 11:00:44	ga_s2am_ard_3-2-1_52LHM_2023-10-18_final.stac-item
2023-10-26 10:26:54	ga_s2am_ard_3-2-1_53HNB_2023-10-26_final.stac-item
2023-11-15 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-11-15_final.stac-item
2023-12-01 10:45:49	ga_s2am_ard_3-2-1_53JKF_2023-12-01_final.stac-item
2024-02-18 11:12:40	ga_s2am_ard_3-2-1_52KFD_2024-02-18_final.stac-item
2024-02-28 11:10:32	ga_s2am_ard_3-2-1_52LFN_2024-02-28_final.stac-item
2024-03-07 10:36:25	ga_s2am_ard_3-2-1_53HMD_2024-03-07_final.stac-item
2024-03-19 11:15:58	ga_s2am_ard_3-2-1_51JXG_2024-03-19_final.stac-item
2024-03-29 11:14:46	ga_s2am_ard_3-2-1_52JDR_2024-03-29_final.stac-item
2024-04-04 11:32:26	ga_s2am_ard_3-2-1_51KWA_2024-04-04_final.stac-item
2024-04-10 11:56:14	ga_s2am_ard_3-2-1_50JKM_2024-04-10_final.stac-item
2024-05-07 11:42:30	ga_s2am_ard_3-2-1_51KVA_2024-05-07_final.stac-item
2024-05-17 11:43:14	ga_s2am_ard_3-2-1_51KVT_2024-05-17_final.stac-item
2024-05-28 11:13:41	ga_s2am_ard_3-2-1_52KBA_2024-05-28_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

All years