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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JCP_2015-08-01_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZQ_2016-01-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JCP_2016-03-28_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQN_2016-06-05_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49JGM_2016-07-17_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HMH_2016-07-28_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52HBK_2016-09-14_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50JKM_2016-11-08_final.stac-item
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52HBK_2017-02-01_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JLM_2017-04-07_final.stac-item
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JYJ_2017-05-18_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JWK_2017-12-24_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JBS_2017-12-31_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXL_2018-01-13_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51JYN_2018-02-02_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JBP_2018-02-19_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JBL_2018-03-11_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_51HYD_2018-05-10_final
2018-06-05 11:26:21	ga_s2am_ard_3-2-1_51LXD_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUK_2018-06-05_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JZN_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JBR_2018-06-09_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KUT_2018-07-08_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52HBK_2018-10-27_final
2018-11-26 11:16:12	ga_s2am_ard_3-2-1_52HBK_2018-11-26_final
2019-01-15 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-01-15_final
2019-01-25 11:16:33	ga_s2am_ard_3-2-1_51HYD_2019-01-25_final
2019-01-31 11:32:51	ga_s2am_ard_3-2-1_51KXU_2019-01-31_final
2019-02-09 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-02-09_final
2019-05-31 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-05-31_final
2019-06-08 10:56:06	ga_s2am_ard_3-2-1_52JEL_2019-06-08_final
2019-08-26 11:23:30	ga_s2am_ard_3-2-1_51KXS_2019-08-26_final
2019-09-21 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2019-09-21_final
2019-09-22 11:16:37	ga_s2am_ard_3-2-1_51HYD_2019-09-22_final
2019-12-21 11:14:23	ga_s2am_ard_3-2-1_51JYN_2019-12-21_final
2020-01-04 10:54:10	ga_s2am_ard_3-2-1_52JGT_2020-01-04_final
2020-01-16 11:32:49	ga_s2am_ard_3-2-1_51KXU_2020-01-16_final
2020-02-11 11:56:00	ga_s2am_ard_3-2-1_50JMM_2020-02-11_final
2020-02-21 11:55:54	ga_s2am_ard_3-2-1_50JKN_2020-02-21_final
2020-03-29 11:43:25	ga_s2am_ard_3-2-1_51KUS_2020-03-29_final
2020-08-02 12:03:45	ga_s2am_ard_3-2-1_50KKB_2020-08-02_final
2020-08-23 11:35:43	ga_s2am_ard_3-2-1_50JQP_2020-08-23_final
2020-08-30 11:23:18	ga_s2am_ard_3-2-1_51KXT_2020-08-30_final
2020-10-22 11:33:21	ga_s2am_ard_3-2-1_51KVT_2020-10-22_final
2020-11-11 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-11-11_final
2020-12-12 11:04:47	ga_s2am_ard_3-2-1_52JDR_2020-12-12_final
2021-02-05 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-02-05_final
2021-03-04 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-03-04_final
2021-03-14 11:42:21	ga_s2am_ard_3-2-1_51KWA_2021-03-14_final
2021-04-27 11:26:44	ga_s2am_ard_3-2-1_51HUD_2021-04-27_final
2021-05-10 11:32:54	ga_s2am_ard_3-2-1_51KXU_2021-05-10_final
2021-05-20 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-05-20_final
2021-06-23 11:16:07	ga_s2am_ard_3-2-1_52JBL_2021-06-23_final
2021-07-02 11:43:27	ga_s2am_ard_3-2-1_51KVS_2021-07-02_final
2021-07-17 10:55:45	ga_s2am_ard_3-2-1_52JGM_2021-07-17_final
2021-08-22 11:16:33	ga_s2am_ard_3-2-1_51HWE_2021-08-22_final
2021-09-10 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-09-10_final
2021-11-06 11:33:45	ga_s2am_ard_3-2-1_51KWR_2021-11-06_final
2021-11-06 11:34:35	ga_s2am_ard_3-2-1_51JUN_2021-11-06_final
2021-11-12 11:55:18	ga_s2am_ard_3-2-1_50JPQ_2021-11-12_final
2021-12-07 11:06:02	ga_s2am_ard_3-2-1_52JDL_2021-12-07_final
2022-01-16 11:05:38	ga_s2am_ard_3-2-1_52JCN_2022-01-16_final
2022-01-17 12:15:20	ga_s2am_ard_3-2-1_49JGK_2022-01-17_final
2022-02-06 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2022-02-06_final
2022-03-04 10:56:00	ga_s2am_ard_3-2-1_52JGL_2022-03-04_final
2022-03-26 11:33:24	ga_s2am_ard_3-2-1_51KVT_2022-03-26_final
2022-03-27 11:06:02	ga_s2am_ard_3-2-1_52JEL_2022-03-27_final
2022-04-05 11:35:13	ga_s2am_ard_3-2-1_51JVK_2022-04-05_final
2022-04-15 11:33:19	ga_s2am_ard_3-2-1_51KVT_2022-04-15_final
2022-04-18 11:44:49	ga_s2am_ard_3-2-1_51JTM_2022-04-18_final
2022-04-25 11:36:38	ga_s2am_ard_3-2-1_51HUD_2022-04-25_final
2022-05-25 11:34:03	ga_s2am_ard_3-2-1_51KWQ_2022-05-25_final
2022-06-18 11:14:43	ga_s2am_ard_3-2-1_52JDS_2022-06-18_final
2022-06-18 11:16:02	ga_s2am_ard_3-2-1_52JBM_2022-06-18_final
2022-09-09 11:23:21	ga_s2am_ard_3-2-1_51KYT_2022-09-09_final.stac-item
2022-09-09 11:25:47	ga_s2am_ard_3-2-1_51JXH_2022-09-09_final.stac-item
2022-09-22 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-09-22_final.stac-item
2022-11-04 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-11-04_final.stac-item
2022-12-22 11:04:55	ga_s2am_ard_3-2-1_52JFQ_2022-12-22_final.stac-item
2023-01-27 11:26:33	ga_s2am_ard_3-2-1_51HXD_2023-01-27_final.stac-item
2023-03-01 11:32:09	ga_s2am_ard_3-2-1_51KXB_2023-03-01_final.stac-item
2023-03-03 12:14:28	ga_s2am_ard_3-2-1_49KFP_2023-03-03_nrt.stac-item
2023-03-24 11:45:16	ga_s2am_ard_3-2-1_50JQQ_2023-03-24_final.stac-item
2023-05-06 11:57:15	ga_s2am_ard_3-2-1_49HGC_2023-05-06_nrt.stac-item
2023-05-14 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-05-14_final.stac-item
2023-06-02 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-06-02_final.stac-item
2023-06-19 11:33:20	ga_s2am_ard_3-2-1_51KVT_2023-06-19_final.stac-item
2023-07-03 11:16:39	ga_s2am_ard_3-2-1_52HBJ_2023-07-03_nrt.stac-item
2023-07-05 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-07-05_nrt.stac-item
2023-08-07 12:05:42	ga_s2am_ard_3-2-1_50JLP_2023-08-07_final.stac-item
2023-08-25 11:23:31	ga_s2am_ard_3-2-1_51KYS_2023-08-25_final.stac-item
2023-08-28 11:33:28	ga_s2am_ard_3-2-1_51KUT_2023-08-28_final.stac-item
2024-01-22 11:24:25	ga_s2am_ard_3-2-1_51JZM_2024-01-22_final.stac-item
2024-01-25 11:33:24	ga_s2am_ard_3-2-1_51KVS_2024-01-25_final.stac-item
2024-01-26 11:05:46	ga_s2am_ard_3-2-1_52JCM_2024-01-26_final.stac-item
2024-02-21 11:23:23	ga_s2am_ard_3-2-1_51KYS_2024-02-21_final.stac-item
2024-03-12 11:21:11	ga_s2am_ard_3-2-1_51LZF_2024-03-12_final.stac-item
2024-03-12 11:23:35	ga_s2am_ard_3-2-1_52KBA_2024-03-12_final.stac-item
2024-03-18 11:46:13	ga_s2am_ard_3-2-1_50JMM_2024-03-18_final.stac-item
2024-03-25 11:33:02	ga_s2am_ard_3-2-1_51KVU_2024-03-25_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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