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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGM_2015-10-28_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKA_2016-05-18_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMG_2016-06-11_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HPJ_2016-08-24_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKT_2016-11-21_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HUE_2016-12-22_final
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KQF_2016-12-28_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JMT_2017-04-27_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLT_2017-06-06_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JFM_2017-07-12_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQG_2017-11-07_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51HTC_2017-11-27_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HNK_2018-02-28_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGN_2018-05-15_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKS_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-07-04_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51HVC_2018-07-22_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51HTC_2018-08-14_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JNM_2018-10-06_final
2018-12-02 11:36:38	ga_s2am_ard_3-2-1_51HTD_2018-12-02_final
2018-12-29 11:26:52	ga_s2am_ard_3-2-1_51HVC_2018-12-29_final
2019-01-01 11:37:15	ga_s2am_ard_3-2-1_50HPG_2019-01-01_final.stac-item
2019-03-02 11:36:58	ga_s2am_ard_3-2-1_50HQH_2019-03-02_final
2019-05-03 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-05-03_final
2019-05-08 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-05-08_final
2019-05-24 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-05-24_final.stac-item
2019-06-09 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-06-09_final
2019-07-03 11:43:23	ga_s2am_ard_3-2-1_50KRC_2019-07-03_final
2019-07-30 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-07-30_final.stac-item
2019-10-07 12:04:27	ga_s2am_ard_3-2-1_50KLU_2019-10-07_final
2019-10-08 11:36:34	ga_s2am_ard_3-2-1_51HTE_2019-10-08_final
2019-10-21 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-10-21_final.stac-item
2019-12-07 11:37:04	ga_s2am_ard_3-2-1_50HPH_2019-12-07_final
2020-01-12 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-12_final
2020-02-15 11:36:31	ga_s2am_ard_3-2-1_50HPK_2020-02-15_final
2020-02-15 11:36:40	ga_s2am_ard_3-2-1_51HTD_2020-02-15_final
2020-03-22 11:54:33	ga_s2am_ard_3-2-1_50JNT_2020-03-22_final
2020-05-01 11:53:34	ga_s2am_ard_3-2-1_50KMC_2020-05-01_final
2020-05-28 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-05-28_final
2020-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-06-27 11:46:31	ga_s2am_ard_3-2-1_50JML_2020-06-27_final
2020-07-07 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-07-07_final.stac-item
2020-08-22 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-22_final
2020-08-26 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-08-26_final
2020-11-14 11:44:34	ga_s2am_ard_3-2-1_50JRT_2020-11-14_final
2020-11-17 11:53:14	ga_s2am_ard_3-2-1_50KRC_2020-11-17_final
2020-11-23 12:15:22	ga_s2am_ard_3-2-1_49JGK_2020-11-23_final
2021-01-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-09_final
2021-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-05-13_final
2021-05-30 11:36:44	ga_s2am_ard_3-2-1_51HUD_2021-05-30_final
2021-06-19 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-06-19_final.stac-item
2021-07-08 12:04:31	ga_s2am_ard_3-2-1_50KKU_2021-07-08_final
2021-07-18 12:03:41	ga_s2am_ard_3-2-1_50KMB_2021-07-18_final
2021-08-01 11:43:21	ga_s2am_ard_3-2-1_50KRC_2021-08-01_final
2021-09-13 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-09-13_final.stac-item
2021-09-19 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-09-19_final
2021-09-23 11:56:17	ga_s2am_ard_3-2-1_50JKM_2021-09-23_final
2021-09-30 11:46:27	ga_s2am_ard_3-2-1_50JNL_2021-09-30_final
2021-10-30 11:43:26	ga_s2am_ard_3-2-1_50KQC_2021-10-30_final
2021-11-12 11:53:19	ga_s2am_ard_3-2-1_50KQC_2021-11-12_final
2021-12-13 11:27:07	ga_s2am_ard_3-2-1_51HTC_2021-12-13_final
2021-12-25 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-12-25_final
2022-01-01 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-01-01_final
2022-01-28 11:43:04	ga_s2am_ard_3-2-1_50KRD_2022-01-28_final
2022-02-07 11:46:12	ga_s2am_ard_3-2-1_50JMM_2022-02-07_final
2022-02-23 12:03:26	ga_s2am_ard_3-2-1_50KMC_2022-02-23_final
2022-04-02 11:26:49	ga_s2am_ard_3-2-1_51HUD_2022-04-02_final
2022-04-17 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-04-17_final
2022-05-15 11:36:51	ga_s2am_ard_3-2-1_51HTD_2022-05-15_final
2022-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2022-05-18_final
2022-06-30 11:56:12	ga_s2am_ard_3-2-1_50JKN_2022-06-30_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-08-02_final
2022-08-26 11:46:46	ga_s2am_ard_3-2-1_50HPK_2022-08-26_final
2022-10-01 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-10-01_final.stac-item
2022-10-31 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-10-31_final.stac-item
2022-11-23 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2022-11-23_final.stac-item
2022-12-20 12:04:30	ga_s2am_ard_3-2-1_49KGP_2022-12-20_final.stac-item
2023-04-12 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-04-12_final.stac-item
2023-05-23 11:43:36	ga_s2am_ard_3-2-1_50KRB_2023-05-23_final.stac-item
2023-05-27 11:27:11	ga_s2am_ard_3-2-1_51HTC_2023-05-27_final.stac-item
2023-06-05 11:56:11	ga_s2am_ard_3-2-1_50JMM_2023-06-05_final.stac-item
2023-06-29 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-29_final.stac-item
2023-08-24 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2023-08-24_final.stac-item
2023-11-22 11:55:17	ga_s2am_ard_3-2-1_50JNQ_2023-11-22_final.stac-item
2023-12-12 11:52:29	ga_s2am_ard_3-2-1_50KQF_2023-12-12_final.stac-item
2023-12-22 11:53:21	ga_s2am_ard_3-2-1_50KNC_2023-12-22_final.stac-item
2024-01-01 11:55:03	ga_s2am_ard_3-2-1_50JNR_2024-01-01_final.stac-item
2024-01-08 11:46:04	ga_s2am_ard_3-2-1_50JNM_2024-01-08_final.stac-item
2024-01-21 11:53:09	ga_s2am_ard_3-2-1_50KQC_2024-01-21_final.stac-item
2024-01-31 11:53:42	ga_s2am_ard_3-2-1_50KQA_2024-01-31_final.stac-item
2024-02-11 11:26:55	ga_s2am_ard_3-2-1_51HVC_2024-02-11_final.stac-item
2024-02-13 12:04:25	ga_s2am_ard_3-2-1_50KKU_2024-02-13_final.stac-item
2024-02-16 12:14:17	ga_s2am_ard_3-2-1_50KKU_2024-02-16_final.stac-item
2024-03-18 11:45:40	ga_s2am_ard_3-2-1_50JNP_2024-03-18_final.stac-item
2024-03-31 11:52:19	ga_s2am_ard_3-2-1_50KQG_2024-03-31_final.stac-item
2024-04-30 11:55:56	ga_s2am_ard_3-2-1_50JKN_2024-04-30_final.stac-item
2024-04-30 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2024-04-30_final.stac-item
2024-05-10 11:56:02	ga_s2am_ard_3-2-1_50JKN_2024-05-10_final.stac-item
2024-05-10 11:56:28	ga_s2am_ard_3-2-1_50JLL_2024-05-10_final.stac-item
2024-05-27 11:46:42	ga_s2am_ard_3-2-1_50HMK_2024-05-27_nrt.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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