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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGM_2016-01-06_final.stac-item
2016-03-19 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-03-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLQ_2016-05-15_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGL_2016-05-28_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HQJ_2016-09-06_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JFM_2016-09-25_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-10-02_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HPK_2016-12-05_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HPH_2016-12-25_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGJ_2016-12-31_final
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_50JPL_2017-05-01_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPJ_2017-05-24_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HNG_2017-07-10_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_51HTC_2017-07-10_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLP_2017-07-16_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KKB_2017-07-29_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JNT_2017-08-25_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HUD_2017-09-28_final
2017-10-14 11:56:06	ga_s2am_ard_3-2-1_50JLM_2017-10-14_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final
2018-03-03 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-03-03_final.stac-item
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HQH_2018-03-17_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50KMC_2018-03-26_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51HUD_2018-04-23_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HUC_2018-05-26_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KQC_2018-06-11_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HQJ_2018-09-06_final
2018-12-08 11:53:13	ga_s2am_ard_3-2-1_50KPC_2018-12-08_final
2018-12-31 12:05:34	ga_s2am_ard_3-2-1_50JKP_2018-12-31_final
2019-01-20 12:03:37	ga_s2am_ard_3-2-1_50KLB_2019-01-20_final
2019-01-31 11:36:54	ga_s2am_ard_3-2-1_51HUC_2019-01-31_final
2019-02-26 11:52:30	ga_s2am_ard_3-2-1_50KQF_2019-02-26_final.stac-item
2019-04-10 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-04-10_final
2019-04-14 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-04-14_final
2019-06-13 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-06-13_final
2019-06-20 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-06-20_final
2019-10-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-10_final
2019-12-20 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-12-20_final
2020-02-01 11:56:10	ga_s2am_ard_3-2-1_50JNL_2020-02-01_final
2020-04-05 11:36:39	ga_s2am_ard_3-2-1_51HUD_2020-04-05_final
2020-04-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-04-05_final
2020-04-08 11:43:01	ga_s2am_ard_3-2-1_50KRD_2020-04-08_final
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final
2020-04-25 11:37:19	ga_s2am_ard_3-2-1_50HQG_2020-04-25_final.stac-item
2020-06-13 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-06-13_final
2020-06-14 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-06-14_final
2020-08-09 11:53:23	ga_s2am_ard_3-2-1_50KQC_2020-08-09_final
2020-09-12 11:37:01	ga_s2am_ard_3-2-1_51HUC_2020-09-12_final
2020-11-17 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2020-11-17_final
2021-01-16 11:56:19	ga_s2am_ard_3-2-1_50JNL_2021-01-16_final
2021-03-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2021-03-24_final
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final
2021-04-09 12:03:40	ga_s2am_ard_3-2-1_50KKB_2021-04-09_final
2021-04-13 11:42:58	ga_s2am_ard_3-2-1_50KRD_2021-04-13_final
2021-04-27 11:26:58	ga_s2am_ard_3-2-1_51HUC_2021-04-27_final
2021-05-07 11:27:00	ga_s2am_ard_3-2-1_51HUC_2021-05-07_final
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final
2021-05-19 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-05-19_final
2021-05-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-05-29_final
2021-06-19 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-06-19_final
2021-07-02 11:43:20	ga_s2am_ard_3-2-1_50KRC_2021-07-02_final
2021-07-31 12:14:31	ga_s2am_ard_3-2-1_49KGP_2021-07-31_final
2021-10-10 11:43:09	ga_s2am_ard_3-2-1_50KRD_2021-10-10_final
2021-12-12 11:53:10	ga_s2am_ard_3-2-1_50KRC_2021-12-12_final
2022-01-02 11:27:03	ga_s2am_ard_3-2-1_51HUC_2022-01-02_final
2022-01-11 11:53:12	ga_s2am_ard_3-2-1_50KRC_2022-01-11_final
2022-02-23 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-02-23_final
2022-02-24 11:37:09	ga_s2am_ard_3-2-1_50HPH_2022-02-24_final
2022-02-27 11:43:07	ga_s2am_ard_3-2-1_50KRD_2022-02-27_final
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_50KKA_2022-06-13_final
2022-06-24 11:36:59	ga_s2am_ard_3-2-1_51HTD_2022-06-24_final
2022-07-03 12:04:41	ga_s2am_ard_3-2-1_50KKU_2022-07-03_final
2022-07-20 11:53:22	ga_s2am_ard_3-2-1_50KRC_2022-07-20_final
2022-10-18 11:52:22	ga_s2am_ard_3-2-1_50KQG_2022-10-18_final.stac-item
2022-11-10 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-11-10_final.stac-item
2023-01-23 11:43:14	ga_s2am_ard_3-2-1_50KRC_2023-01-23_final.stac-item
2023-03-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-20_final.stac-item
2023-04-06 11:53:24	ga_s2am_ard_3-2-1_50KNC_2023-04-06_final.stac-item
2023-04-07 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-04-07_final.stac-item
2023-04-26 11:53:10	ga_s2am_ard_3-2-1_50KRC_2023-04-26_final.stac-item
2023-06-08 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-08_final.stac-item
2023-06-18 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-07-12 11:43:09	ga_s2am_ard_3-2-1_50KRD_2023-07-12_final.stac-item
2023-07-26 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-07-26_final.stac-item
2023-09-26 12:04:45	ga_s2am_ard_3-2-1_49JHN_2023-09-26_final.stac-item
2023-10-30 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-30_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-11-18 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-11-18_final.stac-item
2023-11-22 11:53:13	ga_s2am_ard_3-2-1_50KQC_2023-11-22_final.stac-item
2023-11-28 12:14:34	ga_s2am_ard_3-2-1_49JGN_2023-11-28_final.stac-item
2023-12-02 11:57:04	ga_s2am_ard_3-2-1_50HKH_2023-12-02_final.stac-item
2023-12-22 11:52:16	ga_s2am_ard_3-2-1_50KQG_2023-12-22_final.stac-item
2024-01-11 11:56:13	ga_s2am_ard_3-2-1_50JNL_2024-01-11_final.stac-item
2024-03-01 11:56:25	ga_s2am_ard_3-2-1_50JLL_2024-03-01_final.stac-item
2024-03-11 11:53:21	ga_s2am_ard_3-2-1_50KPC_2024-03-11_final.stac-item
2024-03-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2024-03-14_final.stac-item
2024-04-03 12:03:56	ga_s2am_ard_3-2-1_50KKA_2024-04-03_final.stac-item
2024-04-10 11:53:11	ga_s2am_ard_3-2-1_50KRC_2024-04-10_final.stac-item
2024-04-11 11:27:02	ga_s2am_ard_3-2-1_51HUC_2024-04-11_final.stac-item
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_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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