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
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53HME_2016-01-29_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JCP_2016-06-06_final.stac-item
2016-06-15 11:36:06	ga_s2am_ard_3-2-1_51JUF_2016-06-15_final.stac-item
2017-01-16 10:43:08	ga_s2am_ard_3-2-1_52JGM_2017-01-16_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KVU_2017-05-31_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KXQ_2017-06-07_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JZN_2017-06-27_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVS_2017-11-07_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPJ_2018-09-26_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HUD_2018-09-30_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JFR_2018-10-01_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWS_2018-11-02_final
2018-12-12 11:33:04	ga_s2am_ard_3-2-1_51KWT_2018-12-12_final
2019-01-18 11:21:57	ga_s2am_ard_3-2-1_52KDG_2019-01-18_final
2019-01-26 10:46:21	ga_s2am_ard_3-2-1_53HLD_2019-01-26_final
2019-02-20 11:33:34	ga_s2am_ard_3-2-1_51KXR_2019-02-20_final
2019-02-22 12:15:16	ga_s2am_ard_3-2-1_49JGK_2019-02-22_final
2019-06-20 11:33:52	ga_s2am_ard_3-2-1_51KUR_2019-06-20_final
2019-08-15 11:53:24	ga_s2am_ard_3-2-1_50KPC_2019-08-15_final
2019-08-19 11:33:26	ga_s2am_ard_3-2-1_51KXS_2019-08-19_final
2019-09-08 11:33:26	ga_s2am_ard_3-2-1_51KWS_2019-09-08_final
2019-12-11 11:10:25	ga_s2am_ard_3-2-1_52LGN_2019-12-11_final
2020-01-13 11:23:30	ga_s2am_ard_3-2-1_51KZR_2020-01-13_final
2020-01-13 11:23:51	ga_s2am_ard_3-2-1_51KXQ_2020-01-13_final
2020-03-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-03-19_final
2020-05-25 11:35:10	ga_s2am_ard_3-2-1_51JTL_2020-05-25_final
2020-08-04 11:06:43	ga_s2am_ard_3-2-1_51HYD_2020-08-04_final
2020-10-24 10:36:22	ga_s2am_ard_3-2-1_53HLE_2020-10-24_final
2020-11-23 10:36:26	ga_s2am_ard_3-2-1_53HMD_2020-11-23_final
2021-01-13 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-01-13_final
2021-02-02 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2021-02-02_final
2021-02-03 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-02-03_final
2021-02-08 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-02-08_final
2021-02-12 11:44:29	ga_s2am_ard_3-2-1_50JRT_2021-02-12_final
2021-03-18 11:23:38	ga_s2am_ard_3-2-1_51KYR_2021-03-18_final
2021-03-28 11:23:47	ga_s2am_ard_3-2-1_52KBV_2021-03-28_final
2021-04-09 12:04:49	ga_s2am_ard_3-2-1_50JLS_2021-04-09_final
2021-04-12 12:14:14	ga_s2am_ard_3-2-1_50KKU_2021-04-12_final
2021-05-13 11:42:16	ga_s2am_ard_3-2-1_51KUB_2021-05-13_final.stac-item
2021-06-19 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2021-06-19_final
2021-06-22 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-06-22_final
2021-06-29 11:34:45	ga_s2am_ard_3-2-1_51JTM_2021-06-29_final
2021-07-17 10:55:49	ga_s2am_ard_3-2-1_52JFM_2021-07-17_final
2021-08-03 10:46:12	ga_s2am_ard_3-2-1_53HLE_2021-08-03_final
2021-08-31 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-08-31_final
2021-09-11 11:15:57	ga_s2am_ard_3-2-1_51JXG_2021-09-11_final
2021-09-27 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-09-27_final
2021-10-07 11:33:35	ga_s2am_ard_3-2-1_51KVS_2021-10-07_final
2021-10-11 11:10:38	ga_s2am_ard_3-2-1_52LFN_2021-10-11_final.stac-item
2021-10-13 11:57:11	ga_s2am_ard_3-2-1_50HMH_2021-10-13_final
2021-10-30 11:42:50	ga_s2am_ard_3-2-1_51KUV_2021-10-30_final
2021-11-16 11:32:33	ga_s2am_ard_3-2-1_51KVA_2021-11-16_final
2021-11-24 10:55:46	ga_s2am_ard_3-2-1_52JFM_2021-11-24_final
2021-12-29 11:43:45	ga_s2am_ard_3-2-1_51KUR_2021-12-29_final
2022-01-09 11:13:35	ga_s2am_ard_3-2-1_52KDA_2022-01-09_final
2022-01-15 11:31:54	ga_s2am_ard_3-2-1_51LYC_2022-01-15_final
2022-03-24 10:55:52	ga_s2am_ard_3-2-1_52JEM_2022-03-24_final
2022-03-28 12:14:10	ga_s2am_ard_3-2-1_50KKV_2022-03-28_final
2022-05-29 11:14:10	ga_s2am_ard_3-2-1_52KDU_2022-05-29_final
2022-06-17 11:43:40	ga_s2am_ard_3-2-1_51KUS_2022-06-17_final
2022-07-03 10:26:53	ga_s2am_ard_3-2-1_53HNC_2022-07-03_final
2022-07-11 11:23:33	ga_s2am_ard_3-2-1_52KBB_2022-07-11_final
2022-07-17 11:46:35	ga_s2am_ard_3-2-1_50JNL_2022-07-17_final
2022-07-18 11:13:42	ga_s2am_ard_3-2-1_52KEA_2022-07-18_final
2022-07-18 11:14:21	ga_s2am_ard_3-2-1_52KBU_2022-07-18_final
2022-07-31 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2022-07-31_final
2022-08-07 11:13:37	ga_s2am_ard_3-2-1_52KBB_2022-08-07_final
2022-09-12 11:33:19	ga_s2am_ard_3-2-1_51KXT_2022-09-12_final.stac-item
2022-09-16 11:11:07	ga_s2am_ard_3-2-1_52LFL_2022-09-16_final.stac-item
2022-09-16 11:13:17	ga_s2am_ard_3-2-1_52KCC_2022-09-16_final.stac-item
2022-09-19 11:23:29	ga_s2am_ard_3-2-1_51KZS_2022-09-19_final.stac-item
2022-09-29 11:24:40	ga_s2am_ard_3-2-1_52JBS_2022-09-29_final.stac-item
2022-10-02 11:35:26	ga_s2am_ard_3-2-1_51JTK_2022-10-02_final.stac-item
2022-12-01 11:33:02	ga_s2am_ard_3-2-1_51KVU_2022-12-01_final.stac-item
2023-01-14 11:16:05	ga_s2am_ard_3-2-1_51JYF_2023-01-14_final.stac-item
2023-01-24 11:10:54	ga_s2am_ard_3-2-1_52LGL_2023-01-24_final.stac-item
2023-02-12 11:41:57	ga_s2am_ard_3-2-1_51LVC_2023-02-12_final.stac-item
2023-03-08 11:22:56	ga_s2am_ard_3-2-1_51KXU_2023-03-08_final.stac-item
2023-03-21 11:33:37	ga_s2am_ard_3-2-1_51KXR_2023-03-21_final.stac-item
2023-04-04 11:14:08	ga_s2am_ard_3-2-1_51KZP_2023-04-04_final.stac-item
2023-04-07 11:23:28	ga_s2am_ard_3-2-1_51KXS_2023-04-07_final.stac-item
2023-04-21 11:00:47	ga_s2am_ard_3-2-1_52LGM_2023-04-21_final.stac-item
2023-05-06 11:53:43	ga_s2am_ard_3-2-1_50KMB_2023-05-06_final.stac-item
2023-05-13 11:43:03	ga_s2am_ard_3-2-1_51KTU_2023-05-13_final.stac-item
2023-06-03 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2023-06-03_final.stac-item
2023-06-03 11:15:46	ga_s2am_ard_3-2-1_51JXH_2023-06-03_final.stac-item
2023-06-16 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-06-16_final.stac-item
2023-07-13 11:13:24	ga_s2am_ard_3-2-1_52KDB_2023-07-13_final.stac-item
2023-07-19 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-07-19_final.stac-item
2023-07-25 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-07-25_final.stac-item
2023-10-17 11:32:57	ga_s2am_ard_3-2-1_51KWU_2023-10-17_final.stac-item
2023-12-03 11:23:32	ga_s2am_ard_3-2-1_51KYR_2023-12-03_final.stac-item
2024-01-02 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2024-01-02_final.stac-item
2024-02-17 11:43:27	ga_s2am_ard_3-2-1_51KUS_2024-02-17_final.stac-item
2024-02-28 11:16:43	ga_s2am_ard_3-2-1_51HWD_2024-02-28_final.stac-item
2024-03-06 11:02:35	ga_s2am_ard_3-2-1_52KHD_2024-03-06_final.stac-item
2024-04-20 11:57:16	ga_s2am_ard_3-2-1_50HKH_2024-04-20_nrt.stac-item
2024-05-08 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2024-05-08_final.stac-item
2024-05-13 12:05:32	ga_s2am_ard_3-2-1_49JGK_2024-05-13_final.stac-item
2024-05-14 11:33:45	ga_s2am_ard_3-2-1_51KWR_2024-05-14_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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