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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMJ_2015-12-04_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51LUE_2016-05-29_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_52KHE_2016-06-03_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HUC_2016-09-20_final.stac-item
2016-11-01 10:22:46	ga_s2am_ard_3-2-1_53HPC_2016-11-01_final.stac-item
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52KHU_2016-12-30_final
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KDE_2017-01-05_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVQ_2017-01-31_final
2017-07-22 10:32:12	ga_s2am_ard_3-2-1_53HME_2017-07-22_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LZD_2017-11-27_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRU_2017-12-30_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_51KUV_2018-01-19_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KBU_2018-01-30_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HVC_2018-02-22_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KMC_2018-04-25_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_52JCN_2018-05-10_final
2018-11-12 11:37:01	ga_s2am_ard_3-2-1_50HPH_2018-11-12_final
2018-11-26 11:11:19	ga_s2am_ard_3-2-1_52LGJ_2018-11-26_final
2018-11-28 11:52:26	ga_s2am_ard_3-2-1_50KQF_2018-11-28_final.stac-item
2019-01-05 11:16:53	ga_s2am_ard_3-2-1_51HWC_2019-01-05_final.stac-item
2019-05-10 10:26:50	ga_s2am_ard_3-2-1_53HQB_2019-05-10_final
2019-06-30 11:33:17	ga_s2am_ard_3-2-1_51KWT_2019-06-30_final
2019-08-12 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-08-12_final
2019-10-23 10:44:24	ga_s2am_ard_3-2-1_53JNM_2019-10-23_final
2019-12-01 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2019-12-01_final
2019-12-14 11:23:09	ga_s2am_ard_3-2-1_51KXT_2019-12-14_final
2019-12-17 11:33:18	ga_s2am_ard_3-2-1_51KXS_2019-12-17_final
2020-01-15 12:03:14	ga_s2am_ard_3-2-1_50KNC_2020-01-15_final
2020-01-27 11:00:23	ga_s2am_ard_3-2-1_52LHN_2020-01-27_final
2020-01-30 11:13:26	ga_s2am_ard_3-2-1_52KDA_2020-01-30_final
2020-01-30 11:14:16	ga_s2am_ard_3-2-1_51JZN_2020-01-30_final
2020-02-25 11:36:41	ga_s2am_ard_3-2-1_51HTD_2020-02-25_final
2020-02-26 11:02:53	ga_s2am_ard_3-2-1_52KGC_2020-02-26_final
2020-02-28 11:41:28	ga_s2am_ard_3-2-1_51LUE_2020-02-28_final
2020-04-28 11:47:19	ga_s2am_ard_3-2-1_50HPG_2020-04-28_final.stac-item
2020-05-05 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-05-05_final
2020-06-04 11:33:37	ga_s2am_ard_3-2-1_51KVS_2020-06-04_final
2020-06-08 11:13:20	ga_s2am_ard_3-2-1_52KBC_2020-06-08_final
2020-07-04 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-07-04_final
2020-07-11 11:27:06	ga_s2am_ard_3-2-1_51HUC_2020-07-11_final
2020-07-17 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-17_final
2020-07-27 11:43:30	ga_s2am_ard_3-2-1_51KVS_2020-07-27_final
2020-09-01 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-09-01_final
2020-09-25 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-09-25_final
2020-11-04 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-11-04_final
2020-11-18 11:23:28	ga_s2am_ard_3-2-1_51KYS_2020-11-18_final
2020-12-13 10:35:06	ga_s2am_ard_3-2-1_53JNJ_2020-12-13_final
2020-12-18 11:24:17	ga_s2am_ard_3-2-1_51JZN_2020-12-18_final
2020-12-28 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2020-12-28_final
2021-01-07 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-01-07_final
2021-01-13 11:43:16	ga_s2am_ard_3-2-1_51KUT_2021-01-13_final
2021-01-23 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-01-23_final
2021-03-11 11:31:56	ga_s2am_ard_3-2-1_51LXC_2021-03-11_final
2021-04-11 11:00:40	ga_s2am_ard_3-2-1_52LHM_2021-04-11_final
2021-05-23 11:40:58	ga_s2am_ard_3-2-1_51LWG_2021-05-23_final.stac-item
2021-07-08 10:26:35	ga_s2am_ard_3-2-1_53HQC_2021-07-08_final
2021-07-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-19_final
2021-08-21 11:42:30	ga_s2am_ard_3-2-1_51KVA_2021-08-21_final
2021-08-31 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-08-31_final
2021-09-10 11:41:33	ga_s2am_ard_3-2-1_51LUE_2021-09-10_final
2021-09-16 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-09-16_final
2021-10-31 11:11:24	ga_s2am_ard_3-2-1_52LEK_2021-10-31_final.stac-item
2021-11-06 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-11-06_final
2021-11-07 11:02:36	ga_s2am_ard_3-2-1_52KFE_2021-11-07_final
2021-11-29 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-11-29_final.stac-item
2022-01-05 11:31:40	ga_s2am_ard_3-2-1_51LYD_2022-01-05_final
2022-01-25 11:33:42	ga_s2am_ard_3-2-1_51KWR_2022-01-25_final
2022-02-14 11:33:45	ga_s2am_ard_3-2-1_51KVR_2022-02-14_final
2022-04-18 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-04-18_final
2022-05-27 10:34:33	ga_s2am_ard_3-2-1_53JNM_2022-05-27_final
2022-06-01 11:21:33	ga_s2am_ard_3-2-1_51LZE_2022-06-01_final
2022-06-24 11:36:41	ga_s2am_ard_3-2-1_51HUE_2022-06-24_final
2022-08-03 11:36:44	ga_s2am_ard_3-2-1_50HQK_2022-08-03_final
2022-08-05 10:36:43	ga_s2am_ard_3-2-1_53HPC_2022-08-05_final
2022-09-03 11:04:47	ga_s2am_ard_3-2-1_52JGR_2022-09-03_final.stac-item
2022-09-29 11:21:31	ga_s2am_ard_3-2-1_52LBK_2022-09-29_final.stac-item
2022-11-11 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-11-11_final.stac-item
2022-11-11 11:36:50	ga_s2am_ard_3-2-1_51HTD_2022-11-11_final.stac-item
2022-12-11 11:33:42	ga_s2am_ard_3-2-1_51KWR_2022-12-11_final.stac-item
2022-12-18 11:23:27	ga_s2am_ard_3-2-1_51KXS_2022-12-18_final.stac-item
2022-12-24 11:42:44	ga_s2am_ard_3-2-1_51KUV_2022-12-24_final.stac-item
2022-12-31 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-12-31_final.stac-item
2023-01-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2023-01-22_final.stac-item
2023-04-14 11:10:43	ga_s2am_ard_3-2-1_52LGM_2023-04-14_final.stac-item
2023-06-29 11:33:17	ga_s2am_ard_3-2-1_51KWT_2023-06-29_final.stac-item
2023-09-02 10:46:11	ga_s2am_ard_3-2-1_53HME_2023-09-02_final.stac-item
2023-09-06 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-09-06_final.stac-item
2023-09-09 10:34:30	ga_s2am_ard_3-2-1_53JNM_2023-09-09_final.stac-item
2023-11-19 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-11-19_final.stac-item
2023-12-09 11:42:55	ga_s2am_ard_3-2-1_51KUU_2023-12-09_final.stac-item
2023-12-19 11:43:29	ga_s2am_ard_3-2-1_51KVR_2023-12-19_final.stac-item
2023-12-26 11:36:54	ga_s2am_ard_3-2-1_51HUC_2023-12-26_final.stac-item
2024-01-15 11:33:31	ga_s2am_ard_3-2-1_51KXR_2024-01-15_final.stac-item
2024-01-25 11:33:32	ga_s2am_ard_3-2-1_51KXR_2024-01-25_final.stac-item
2024-01-29 11:12:27	ga_s2am_ard_3-2-1_52KEE_2024-01-29_final.stac-item
2024-02-18 11:10:41	ga_s2am_ard_3-2-1_52LGM_2024-02-18_final.stac-item
2024-02-28 11:12:38	ga_s2am_ard_3-2-1_52KCE_2024-02-28_final.stac-item
2024-03-02 11:24:12	ga_s2am_ard_3-2-1_51KXP_2024-03-02_final.stac-item
2024-03-12 11:22:52	ga_s2am_ard_3-2-1_51KZU_2024-03-12_final.stac-item
2024-04-24 11:33:15	ga_s2am_ard_3-2-1_51KWT_2024-04-24_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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