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
2016-03-19 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-03-19_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KWP_2016-05-16_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KMU_2016-08-19_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JCR_2016-08-25_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JFM_2016-09-25_final.stac-item
2016-11-30 10:50:09	ga_s2am_ard_3-2-1_53LPG_2016-11-30_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_52KGU_2016-12-03_final.stac-item
2016-12-04 10:33:20	ga_s2am_ard_3-2-1_53JQJ_2016-12-04_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HWC_2016-12-06_final.stac-item
2016-12-30 10:48:09	ga_s2am_ard_3-2-1_53LLE_2016-12-30_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPG_2017-02-03_final.stac-item
2017-02-11 10:57:10	ga_s2am_ard_3-2-1_53LKF_2017-02-11_final
2017-09-17 10:23:03	ga_s2am_ard_3-2-1_54HTG_2017-09-17_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXF_2017-10-05_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HUC_2018-02-02_final
2018-02-03 10:47:21	ga_s2am_ard_3-2-1_53KNB_2018-02-03_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYG_2018-03-01_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_52LBK_2018-03-07_final
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_51KYT_2018-03-24_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KKU_2018-04-25_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final
2018-11-11 12:04:49	ga_s2am_ard_3-2-1_50JLS_2018-11-11_final
2018-12-26 11:10:18	ga_s2am_ard_3-2-1_52LHN_2018-12-26_final
2018-12-28 11:56:59	ga_s2am_ard_3-2-1_50HMH_2018-12-28_final
2019-01-13 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-01-13_final
2019-01-14 11:42:17	ga_s2am_ard_3-2-1_51KWA_2019-01-14_final
2019-04-10 12:03:21	ga_s2am_ard_3-2-1_50KNC_2019-04-10_final
2019-08-04 10:40:44	ga_s2am_ard_3-2-1_53LPG_2019-08-04_final
2019-09-11 11:42:26	ga_s2am_ard_3-2-1_51KVA_2019-09-11_final
2019-09-18 11:33:30	ga_s2am_ard_3-2-1_51KVS_2019-09-18_final
2019-09-27 10:26:41	ga_s2am_ard_3-2-1_53HNC_2019-09-27_final
2019-10-05 11:25:12	ga_s2am_ard_3-2-1_51JXK_2019-10-05_final
2019-10-27 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-10-27_final
2019-11-27 11:32:54	ga_s2am_ard_3-2-1_51KXU_2019-11-27_final
2019-11-30 11:42:56	ga_s2am_ard_3-2-1_51KVU_2019-11-30_final
2019-12-16 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-16_final
2020-01-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2020-01-08_final
2020-02-04 10:24:57	ga_s2am_ard_3-2-1_53JQJ_2020-02-04_final
2020-04-14 12:03:16	ga_s2am_ard_3-2-1_50KMC_2020-04-14_final
2020-04-19 11:13:55	ga_s2am_ard_3-2-1_52KBV_2020-04-19_final
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-05-27_final
2020-06-30 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-06-30_final
2020-07-07 11:46:17	ga_s2am_ard_3-2-1_50JMM_2020-07-07_final
2020-07-25 11:00:37	ga_s2am_ard_3-2-1_53LKH_2020-07-25_final
2020-08-24 11:06:23	ga_s2am_ard_3-2-1_52HDK_2020-08-24_final.stac-item
2020-09-23 11:03:04	ga_s2am_ard_3-2-1_52KGC_2020-09-23_final
2020-10-18 10:16:40	ga_s2am_ard_3-2-1_54HTH_2020-10-18_final
2020-10-19 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-10-19_final
2020-10-23 11:05:13	ga_s2am_ard_3-2-1_52JCQ_2020-10-23_final
2020-12-19 10:55:47	ga_s2am_ard_3-2-1_52JEM_2020-12-19_final
2021-01-17 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-01-17_final
2021-01-24 11:12:21	ga_s2am_ard_3-2-1_52KDF_2021-01-24_final
2021-02-22 11:41:18	ga_s2am_ard_3-2-1_51LUF_2021-02-22_final
2021-04-30 11:36:55	ga_s2am_ard_3-2-1_51HUC_2021-04-30_final
2021-06-01 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-06-01_final
2021-07-05 11:54:21	ga_s2am_ard_3-2-1_50KPU_2021-07-05_final
2021-07-12 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2021-07-12_final
2021-07-16 11:21:58	ga_s2am_ard_3-2-1_51LZC_2021-07-16_final
2021-08-01 11:43:14	ga_s2am_ard_3-2-1_51KVT_2021-08-01_final
2021-09-09 10:33:46	ga_s2am_ard_3-2-1_53KRP_2021-09-09_final
2021-10-04 11:24:42	ga_s2am_ard_3-2-1_51JYM_2021-10-04_final
2021-12-15 10:27:01	ga_s2am_ard_3-2-1_53HQA_2021-12-15_final
2021-12-31 10:46:07	ga_s2am_ard_3-2-1_53HME_2021-12-31_final
2022-01-16 11:00:44	ga_s2am_ard_3-2-1_53LKG_2022-01-16_final
2022-04-13 10:55:44	ga_s2am_ard_3-2-1_52JGM_2022-04-13_final
2022-05-05 11:36:36	ga_s2am_ard_3-2-1_50HPK_2022-05-05_final
2022-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2022-05-17_final
2022-05-25 11:34:12	ga_s2am_ard_3-2-1_51KXP_2022-05-25_final
2022-05-29 11:15:40	ga_s2am_ard_3-2-1_52JCN_2022-05-29_final
2022-06-04 11:31:43	ga_s2am_ard_3-2-1_51LZD_2022-06-04_final
2022-07-02 10:52:18	ga_s2am_ard_3-2-1_53KNA_2022-07-02_final
2022-08-28 10:44:40	ga_s2am_ard_3-2-1_53JPL_2022-08-28_final
2022-10-03 11:00:36	ga_s2am_ard_3-2-1_53LKH_2022-10-03_final.stac-item
2022-10-09 11:23:56	ga_s2am_ard_3-2-1_51KZQ_2022-10-09_final.stac-item
2022-11-28 11:21:32	ga_s2am_ard_3-2-1_52LDJ_2022-11-28_final.stac-item
2022-12-07 11:54:45	ga_s2am_ard_3-2-1_50JLT_2022-12-07_final.stac-item
2023-01-16 11:53:57	ga_s2am_ard_3-2-1_50KQV_2023-01-16_final.stac-item
2023-02-19 11:31:39	ga_s2am_ard_3-2-1_51LXD_2023-02-19_final.stac-item
2023-03-11 11:32:10	ga_s2am_ard_3-2-1_51KWB_2023-03-11_final.stac-item
2023-03-19 10:50:47	ga_s2am_ard_3-2-1_53LPF_2023-03-19_final.stac-item
2023-04-08 10:53:57	ga_s2am_ard_3-2-1_53KKP_2023-04-08_final.stac-item
2023-04-08 10:55:39	ga_s2am_ard_3-2-1_53JKG_2023-04-08_final.stac-item
2023-05-03 10:07:44	ga_s2am_ard_3-2-1_54HVC_2023-05-03_final.stac-item
2023-05-10 11:33:23	ga_s2am_ard_3-2-1_51KXS_2023-05-10_final.stac-item
2023-06-22 11:42:31	ga_s2am_ard_3-2-1_51KVA_2023-06-22_final.stac-item
2023-06-23 11:15:51	ga_s2am_ard_3-2-1_52JCM_2023-06-23_final.stac-item
2023-07-21 10:36:50	ga_s2am_ard_3-2-1_53HPB_2023-07-21_final.stac-item
2023-09-06 10:25:11	ga_s2am_ard_3-2-1_53JQJ_2023-09-06_final.stac-item
2023-09-07 11:33:32	ga_s2am_ard_3-2-1_51KWS_2023-09-07_final.stac-item
2023-09-07 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-09-07_final.stac-item
2023-09-09 10:36:01	ga_s2am_ard_3-2-1_53JMF_2023-09-09_final.stac-item
2024-01-03 10:51:01	ga_s2am_ard_3-2-1_53LPE_2024-01-03_final.stac-item
2024-01-13 10:52:23	ga_s2am_ard_3-2-1_53KKV_2024-01-13_final.stac-item
2024-01-15 11:33:31	ga_s2am_ard_3-2-1_51KXR_2024-01-15_final.stac-item
2024-02-11 11:23:21	ga_s2am_ard_3-2-1_51KYS_2024-02-11_final.stac-item
2024-03-03 10:55:05	ga_s2am_ard_3-2-1_53JLJ_2024-03-03_final.stac-item
2024-03-13 10:55:13	ga_s2am_ard_3-2-1_52JGP_2024-03-13_final.stac-item
2024-03-30 10:43:32	ga_s2am_ard_3-2-1_53KNQ_2024-03-30_final.stac-item
2024-04-08 11:16:25	ga_s2am_ard_3-2-1_51HXE_2024-04-08_final.stac-item
2024-04-13 10:25:07	ga_s2am_ard_3-2-1_53JQJ_2024-04-13_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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