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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGJ_2016-03-16_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVM_2016-04-06_final.stac-item
2016-04-12 11:56:25	ga_s2am_ard_3-2-1_50JLL_2016-04-12_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JML_2016-07-08_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JTF_2016-12-12_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYK_2016-12-26_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXL_2017-01-08_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KYT_2017-01-31_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HXD_2017-04-15_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JKQ_2017-05-20_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JXH_2017-06-14_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_50JQL_2017-09-08_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HWD_2017-10-05_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HUE_2017-11-14_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KUQ_2017-12-10_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KQB_2018-02-18_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JLN_2018-03-16_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49KHP_2018-04-25_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KLB_2018-05-25_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JUN_2018-05-26_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KMB_2018-08-23_final
2019-01-18 11:22:05	ga_s2am_ard_3-2-1_51KZB_2019-01-18_final
2019-01-28 11:23:25	ga_s2am_ard_3-2-1_51KXS_2019-01-28_final
2019-02-07 11:24:26	ga_s2am_ard_3-2-1_51JWN_2019-02-07_final
2019-02-17 11:26:58	ga_s2am_ard_3-2-1_51HUC_2019-02-17_final
2019-02-20 11:32:40	ga_s2am_ard_3-2-1_51KWV_2019-02-20_final
2019-02-24 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-02-24_final
2019-03-25 11:44:01	ga_s2am_ard_3-2-1_50KRV_2019-03-25_final
2019-05-04 11:46:30	ga_s2am_ard_3-2-1_50JML_2019-05-04_final
2019-05-27 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-05-27_final
2019-06-23 11:46:17	ga_s2am_ard_3-2-1_50JMM_2019-06-23_final
2019-07-07 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2019-07-07_final
2019-11-27 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2019-11-27_final
2019-11-30 11:42:08	ga_s2am_ard_3-2-1_51KWB_2019-11-30_final
2020-01-02 11:53:37	ga_s2am_ard_3-2-1_50KMB_2020-01-02_final
2020-01-10 11:16:06	ga_s2am_ard_3-2-1_51JXF_2020-01-10_final
2020-02-19 11:15:04	ga_s2am_ard_3-2-1_51JYK_2020-02-19_final
2020-02-24 12:05:24	ga_s2am_ard_3-2-1_49JGK_2020-02-24_final
2020-02-25 11:35:54	ga_s2am_ard_3-2-1_51JUG_2020-02-25_final
2020-03-13 11:26:18	ga_s2am_ard_3-2-1_51HXE_2020-03-13_final
2020-03-23 11:25:53	ga_s2am_ard_3-2-1_51JWG_2020-03-23_final
2020-04-12 11:27:00	ga_s2am_ard_3-2-1_51HUC_2020-04-12_final
2020-04-28 11:46:22	ga_s2am_ard_3-2-1_50JPL_2020-04-28_final
2020-08-06 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-08-06_final
2020-10-25 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-25_final
2020-12-01 11:37:02	ga_s2am_ard_3-2-1_50HQH_2020-12-01_final
2021-01-23 11:44:14	ga_s2am_ard_3-2-1_51KUP_2021-01-23_final
2021-01-30 11:35:56	ga_s2am_ard_3-2-1_51JVG_2021-01-30_final
2021-02-02 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-02-02_final
2021-02-02 11:43:36	ga_s2am_ard_3-2-1_50KQB_2021-02-02_final
2021-02-02 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-02-02_final
2021-03-21 11:33:22	ga_s2am_ard_3-2-1_51KXS_2021-03-21_final
2021-04-03 11:43:22	ga_s2am_ard_3-2-1_51KVS_2021-04-03_final
2021-04-13 11:45:12	ga_s2am_ard_3-2-1_50JQQ_2021-04-13_final
2021-06-08 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-08_final
2021-07-22 11:46:04	ga_s2am_ard_3-2-1_50JQM_2021-07-22_final
2021-07-29 11:34:40	ga_s2am_ard_3-2-1_50JRT_2021-07-29_final
2021-07-29 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-07-29_final
2021-08-21 11:46:25	ga_s2am_ard_3-2-1_50JNL_2021-08-21_final
2021-10-16 12:06:15	ga_s2am_ard_3-2-1_50JKM_2021-10-16_final
2021-10-20 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2021-10-20_final
2021-11-02 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-11-02_final
2021-12-03 11:24:29	ga_s2am_ard_3-2-1_51JWN_2021-12-03_final
2021-12-26 11:32:33	ga_s2am_ard_3-2-1_51KVA_2021-12-26_final
2022-01-15 11:32:47	ga_s2am_ard_3-2-1_51KVV_2022-01-15_final
2022-02-01 11:24:37	ga_s2am_ard_3-2-1_51JYM_2022-02-01_final
2022-05-11 11:55:38	ga_s2am_ard_3-2-1_50JNP_2022-05-11_final
2022-05-24 12:05:45	ga_s2am_ard_3-2-1_50JLP_2022-05-24_final
2022-06-18 11:15:22	ga_s2am_ard_3-2-1_51JYK_2022-06-18_final
2022-06-24 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-06-24_final
2022-07-11 11:24:14	ga_s2am_ard_3-2-1_51KWQ_2022-07-11_final
2022-07-20 11:56:11	ga_s2am_ard_3-2-1_50JKN_2022-07-20_final
2022-08-16 11:46:42	ga_s2am_ard_3-2-1_50HQK_2022-08-16_final
2022-09-04 12:14:06	ga_s2am_ard_3-2-1_49KHR_2022-09-04_final.stac-item
2022-09-09 11:24:05	ga_s2am_ard_3-2-1_51KYQ_2022-09-09_final.stac-item
2022-09-12 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-09-12_final.stac-item
2022-10-06 11:16:00	ga_s2am_ard_3-2-1_51JYG_2022-10-06_final.stac-item
2022-10-12 11:34:48	ga_s2am_ard_3-2-1_51JVM_2022-10-12_final.stac-item
2022-11-24 11:42:41	ga_s2am_ard_3-2-1_51KVV_2022-11-24_final.stac-item
2022-11-24 11:42:45	ga_s2am_ard_3-2-1_51KUV_2022-11-24_final.stac-item
2022-12-14 11:43:25	ga_s2am_ard_3-2-1_51KVS_2022-12-14_final.stac-item
2022-12-31 11:32:49	ga_s2am_ard_3-2-1_51KYU_2022-12-31_final.stac-item
2023-03-24 11:45:10	ga_s2am_ard_3-2-1_50JNR_2023-03-24_final.stac-item
2023-03-27 11:53:46	ga_s2am_ard_3-2-1_50KPA_2023-03-27_final.stac-item
2023-04-10 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-04-10_final.stac-item
2023-04-12 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-04-12_final.stac-item
2023-05-06 11:56:04	ga_s2am_ard_3-2-1_50JNM_2023-05-06_final.stac-item
2023-07-19 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-07-19_final.stac-item
2023-08-08 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-08-08_final.stac-item
2023-08-12 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-08-12_final.stac-item
2023-08-21 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2023-08-21_final.stac-item
2023-08-30 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-08-30_final.stac-item
2023-12-02 11:56:06	ga_s2am_ard_3-2-1_50JKM_2023-12-02_final.stac-item
2023-12-13 11:22:56	ga_s2am_ard_3-2-1_51KXU_2023-12-13_final.stac-item
2023-12-28 12:14:57	ga_s2am_ard_3-2-1_49JFM_2023-12-28_final.stac-item
2024-01-05 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2024-01-05_final.stac-item
2024-01-09 11:16:32	ga_s2am_ard_3-2-1_51HYD_2024-01-09_final.stac-item
2024-03-05 11:34:29	ga_s2am_ard_3-2-1_51JVN_2024-03-05_final.stac-item
2024-03-08 11:45:22	ga_s2am_ard_3-2-1_50JPQ_2024-03-08_final.stac-item
2024-03-22 11:26:12	ga_s2am_ard_3-2-1_51JVF_2024-03-22_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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