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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JVK_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXG_2015-11-25_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_51JTJ_2016-02-19_final.stac-item
2016-04-12 11:56:25	ga_s2am_ard_3-2-1_50JML_2016-04-12_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKR_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JUN_2016-06-05_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTD_2016-09-13_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMM_2016-09-19_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JKM_2016-10-02_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKM_2016-12-11_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQH_2017-05-11_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HNJ_2017-09-01_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JWK_2017-09-08_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKM_2017-12-16_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNR_2018-02-01_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUR_2018-02-18_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMH_2018-03-23_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51HXD_2018-03-31_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVH_2018-08-04_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51JUF_2018-09-10_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVJ_2018-09-30_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HQK_2018-10-13_final
2018-11-09 11:24:39	ga_s2am_ard_3-2-1_51JWM_2018-11-09_final
2018-12-18 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-18_final
2018-12-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-12-24_final
2019-03-08 11:55:36	ga_s2am_ard_3-2-1_50JLP_2019-03-08_final
2019-05-17 11:53:21	ga_s2am_ard_3-2-1_50KQC_2019-05-17_final
2019-06-10 11:36:31	ga_s2am_ard_3-2-1_51HUE_2019-06-10_final
2019-08-19 11:32:22	ga_s2am_ard_3-2-1_51KVB_2019-08-19_final
2019-09-01 11:47:03	ga_s2am_ard_3-2-1_50HPH_2019-09-01_final
2019-10-08 11:33:36	ga_s2am_ard_3-2-1_51KUS_2019-10-08_final
2019-11-11 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2019-11-11_final
2020-01-03 11:24:17	ga_s2am_ard_3-2-1_51JYN_2020-01-03_final
2020-02-28 11:43:14	ga_s2am_ard_3-2-1_50KRC_2020-02-28_final
2020-04-27 12:13:56	ga_s2am_ard_3-2-1_50KKA_2020-04-27_final
2020-05-24 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-05-24_final
2020-06-03 12:06:02	ga_s2am_ard_3-2-1_50JKN_2020-06-03_final
2020-09-08 11:55:06	ga_s2am_ard_3-2-1_50JPR_2020-09-08_final
2020-09-16 11:16:45	ga_s2am_ard_3-2-1_51HXD_2020-09-16_final
2020-11-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-11-30_final
2020-11-30 12:06:10	ga_s2am_ard_3-2-1_50JKM_2020-11-30_final
2021-01-24 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-24_final
2021-02-19 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-02-19_final
2021-03-23 12:14:58	ga_s2am_ard_3-2-1_49JFM_2021-03-23_final
2021-03-25 11:15:28	ga_s2am_ard_3-2-1_51JXJ_2021-03-25_final
2021-04-06 11:56:10	ga_s2am_ard_3-2-1_50JKM_2021-04-06_final
2021-04-09 12:04:23	ga_s2am_ard_3-2-1_50KKU_2021-04-09_final
2021-04-10 11:33:29	ga_s2am_ard_3-2-1_51KUS_2021-04-10_final
2021-06-28 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-06-28_final
2021-07-12 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2021-07-12_final
2021-07-12 11:46:26	ga_s2am_ard_3-2-1_50JNL_2021-07-12_final
2021-07-12 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-07-12_final
2021-08-08 11:35:15	ga_s2am_ard_3-2-1_51JVK_2021-08-08_final
2021-08-18 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-08-18_final
2021-08-31 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-08-31_final
2021-09-23 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-09-23_final
2021-10-13 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-13_final
2021-10-21 11:16:36	ga_s2am_ard_3-2-1_51HWE_2021-10-21_final
2021-11-19 11:45:03	ga_s2am_ard_3-2-1_50JQR_2021-11-19_final
2021-11-19 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-11-19_final
2021-11-22 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-11-22_final
2021-11-25 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-11-25_final
2021-12-23 11:24:33	ga_s2am_ard_3-2-1_51JZM_2021-12-23_final
2022-01-19 11:16:23	ga_s2am_ard_3-2-1_51HYE_2022-01-19_final
2022-03-29 11:44:30	ga_s2am_ard_3-2-1_51JUN_2022-03-29_final
2022-03-29 11:45:06	ga_s2am_ard_3-2-1_50JQR_2022-03-29_final
2022-05-27 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-05-27_final
2022-05-28 11:44:53	ga_s2am_ard_3-2-1_51JTM_2022-05-28_final
2022-06-01 11:25:46	ga_s2am_ard_3-2-1_51JXH_2022-06-01_final
2022-06-28 11:15:55	ga_s2am_ard_3-2-1_51JXH_2022-06-28_final
2022-07-13 12:05:39	ga_s2am_ard_3-2-1_50JKQ_2022-07-13_final
2022-07-17 11:47:26	ga_s2am_ard_3-2-1_50HLH_2022-07-17_final
2022-07-18 11:16:49	ga_s2am_ard_3-2-1_51HYD_2022-07-18_final
2022-07-23 12:06:21	ga_s2am_ard_3-2-1_50JKM_2022-07-23_final
2022-10-24 12:15:22	ga_s2am_ard_3-2-1_49JGK_2022-10-24_final.stac-item
2022-11-10 12:06:13	ga_s2am_ard_3-2-1_50JKM_2022-11-10_final.stac-item
2022-11-24 11:43:14	ga_s2am_ard_3-2-1_51KUT_2022-11-24_final.stac-item
2022-12-11 11:36:58	ga_s2am_ard_3-2-1_51HUC_2022-12-11_final.stac-item
2022-12-11 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-12-11_final.stac-item
2022-12-17 13:31:38	ga_s2am_ard_3-2-1_47LKG_2022-12-17_interim.stac-item
2022-12-31 11:33:21	ga_s2am_ard_3-2-1_51KUT_2022-12-31_final.stac-item
2023-02-09 11:33:21	ga_s2am_ard_3-2-1_51KUT_2023-02-09_final.stac-item
2023-02-26 11:26:42	ga_s2am_ard_3-2-1_51HWD_2023-02-26_final.stac-item
2023-03-21 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-03-21_final.stac-item
2023-03-30 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-03-30_final.stac-item
2023-04-03 11:46:07	ga_s2am_ard_3-2-1_51JTF_2023-04-03_final.stac-item
2023-04-24 11:16:38	ga_s2am_ard_3-2-1_51HYD_2023-04-24_final.stac-item
2023-05-09 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-05-09_final.stac-item
2023-06-26 11:26:00	ga_s2am_ard_3-2-1_51JWG_2023-06-26_final.stac-item
2023-09-03 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-09-03_final.stac-item
2023-09-14 11:26:37	ga_s2am_ard_3-2-1_51HUE_2023-09-14_final.stac-item
2023-09-23 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-09-23_nrt.stac-item
2023-09-30 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-09-30_final.stac-item
2023-11-05 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-11-05_final.stac-item
2024-01-17 12:14:51	ga_s2am_ard_3-2-1_49JFM_2024-01-17_final.stac-item
2024-02-07 11:43:14	ga_s2am_ard_3-2-1_51KTT_2024-02-07_final.stac-item
2024-03-08 11:45:04	ga_s2am_ard_3-2-1_50JQR_2024-03-08_final.stac-item
2024-03-15 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2024-03-15_final.stac-item
2024-03-18 11:43:48	ga_s2am_ard_3-2-1_50KRA_2024-03-18_final.stac-item
2024-03-28 11:43:00	ga_s2am_ard_3-2-1_51KUU_2024-03-28_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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