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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JQM_2016-01-20_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKN_2016-05-15_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMC_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51HTC_2016-06-05_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KNC_2016-08-10_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KPC_2016-08-10_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGM_2016-08-23_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51HTC_2016-11-22_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2016-12-05_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-12-14_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KRU_2017-01-24_final
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-05-13_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JNL_2017-07-16_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50HPH_2017-09-08_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51HUC_2018-01-06_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMJ_2018-03-23_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50KMB_2018-03-26_final
2018-04-02 11:48:25	ga_s2am_ard_3-2-1_50KQC_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JLN_2018-04-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKP_2018-05-15_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51HTC_2018-05-16_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50KRC_2018-06-28_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51HVC_2018-07-12_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KLU_2018-09-02_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMG_2018-09-19_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-10-12_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HNK_2018-10-29_final
2018-11-08 11:57:16	ga_s2am_ard_3-2-1_50HMG_2018-11-08_final.stac-item
2018-11-11 12:03:15	ga_s2am_ard_3-2-1_50KNC_2018-11-11_final
2019-02-07 11:26:58	ga_s2am_ard_3-2-1_51HUC_2019-02-07_final
2019-03-08 11:53:19	ga_s2am_ard_3-2-1_50KNC_2019-03-08_final
2019-03-21 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-03-21_final
2019-04-20 12:03:47	ga_s2am_ard_3-2-1_50KNA_2019-04-20_final
2019-05-31 11:37:05	ga_s2am_ard_3-2-1_50HQH_2019-05-31_final
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-06-19_final
2019-07-10 11:36:48	ga_s2am_ard_3-2-1_51HUD_2019-07-10_final
2019-07-23 11:43:23	ga_s2am_ard_3-2-1_50KRC_2019-07-23_final
2019-07-30 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-07-30_final
2019-09-14 11:53:20	ga_s2am_ard_3-2-1_50KPC_2019-09-14_final
2019-10-01 11:43:20	ga_s2am_ard_3-2-1_50KRC_2019-10-01_final
2019-10-31 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-10-31_final
2019-11-14 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-11-14_final
2019-12-27 11:36:37	ga_s2am_ard_3-2-1_51HUD_2019-12-27_final
2020-01-15 12:04:37	ga_s2am_ard_3-2-1_50JKT_2020-01-15_final
2020-02-02 11:26:50	ga_s2am_ard_3-2-1_51HVC_2020-02-02_final
2020-03-26 11:36:16	ga_s2am_ard_3-2-1_50JQL_2020-03-26_final
2020-04-24 12:03:46	ga_s2am_ard_3-2-1_50KKB_2020-04-24_final
2020-05-22 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-05-22_final
2020-05-24 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-05-24_final
2020-05-28 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-05-28_final.stac-item
2020-05-31 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-05-31_final
2020-06-04 11:36:53	ga_s2am_ard_3-2-1_51HTD_2020-06-04_final
2020-06-13 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-06-13_final
2020-07-03 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-07-03_final
2020-07-27 11:43:27	ga_s2am_ard_3-2-1_50KQC_2020-07-27_final
2020-08-02 12:04:34	ga_s2am_ard_3-2-1_50KKU_2020-08-02_final
2020-09-22 11:35:55	ga_s2am_ard_3-2-1_50JQN_2020-09-22_final
2020-12-14 11:43:19	ga_s2am_ard_3-2-1_50KQC_2020-12-14_final
2021-02-15 11:53:34	ga_s2am_ard_3-2-1_50KPB_2021-02-15_final
2021-05-06 11:53:16	ga_s2am_ard_3-2-1_50KQC_2021-05-06_final
2021-05-16 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-05-16_final
2021-06-09 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-09_final
2021-07-12 11:43:07	ga_s2am_ard_3-2-1_50KRD_2021-07-12_final
2021-09-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-09-16_final
2021-09-30 11:47:25	ga_s2am_ard_3-2-1_50HNG_2021-09-30_final.stac-item
2021-10-03 11:53:47	ga_s2am_ard_3-2-1_50KMB_2021-10-03_final
2021-10-09 12:14:03	ga_s2am_ard_3-2-1_49KGR_2021-10-09_final
2021-11-02 11:56:44	ga_s2am_ard_3-2-1_50HLK_2021-11-02_final
2021-12-12 11:53:20	ga_s2am_ard_3-2-1_50KPC_2021-12-12_final
2022-01-04 12:04:44	ga_s2am_ard_3-2-1_50JKT_2022-01-04_final
2022-02-04 11:37:17	ga_s2am_ard_3-2-1_50HQG_2022-02-04_final.stac-item
2022-05-04 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-05-04_final
2022-05-18 11:46:31	ga_s2am_ard_3-2-1_50JML_2022-05-18_final
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final
2022-07-11 11:27:01	ga_s2am_ard_3-2-1_51HUD_2022-07-11_final
2022-08-25 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-08-25_final
2022-09-02 11:37:09	ga_s2am_ard_3-2-1_51HUC_2022-09-02_final.stac-item
2022-09-15 11:45:45	ga_s2am_ard_3-2-1_50JPP_2022-09-15_final.stac-item
2022-10-31 12:04:46	ga_s2am_ard_3-2-1_50JKT_2022-10-31_final.stac-item
2022-12-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-13_final.stac-item
2022-12-17 11:56:29	ga_s2am_ard_3-2-1_50HNK_2022-12-17_final.stac-item
2023-01-16 11:53:50	ga_s2am_ard_3-2-1_50KNA_2023-01-16_final.stac-item
2023-02-08 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-02-08_final.stac-item
2023-02-28 12:03:38	ga_s2am_ard_3-2-1_50KLB_2023-02-28_final.stac-item
2023-03-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-21_final.stac-item
2023-04-03 11:45:10	ga_s2am_ard_3-2-1_50JNR_2023-04-03_final.stac-item
2023-04-09 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-04-09_final.stac-item
2023-04-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-04-29_final.stac-item
2023-08-17 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2023-08-17_final.stac-item
2023-09-23 11:53:23	ga_s2am_ard_3-2-1_50KPC_2023-09-23_final.stac-item
2023-10-26 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-10-26_final.stac-item
2023-11-15 12:03:18	ga_s2am_ard_3-2-1_50KNC_2023-11-15_final.stac-item
2023-11-22 11:53:39	ga_s2am_ard_3-2-1_50KMB_2023-11-22_final.stac-item
2023-11-29 11:46:54	ga_s2am_ard_3-2-1_50HPH_2023-11-29_final.stac-item
2023-12-23 11:27:04	ga_s2am_ard_3-2-1_51HTC_2023-12-23_final.stac-item
2024-01-11 11:57:15	ga_s2am_ard_3-2-1_50HMG_2024-01-11_final.stac-item
2024-01-24 12:03:52	ga_s2am_ard_3-2-1_50KKA_2024-01-24_final.stac-item
2024-01-31 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-31_final.stac-item
2024-03-01 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-01_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

All years