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_51KTT_2016-01-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KPU_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKB_2016-04-15_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-08_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUV_2016-05-29_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWJ_2016-06-12_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLP_2016-09-19_final.stac-item
2016-09-22 12:03:42	ga_s2am_ard_3-2-1_50KKA_2016-09-22_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KVA_2016-10-16_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50JQL_2016-12-22_final
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KMC_2016-12-28_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51JYL_2016-12-29_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGJ_2016-12-31_final
2017-07-03 11:37:51	ga_s2am_ard_3-2-1_51KTT_2017-07-03_final
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50HLK_2017-11-03_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50JQL_2017-12-17_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51HUC_2018-01-06_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50KQC_2018-01-19_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HWD_2018-03-14_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLG_2018-04-02_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLL_2018-06-21_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51HUC_2018-06-25_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JQM_2018-06-28_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVB_2018-07-18_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2018-09-02_final
2018-12-01 12:03:15	ga_s2am_ard_3-2-1_50KMC_2018-12-01_final
2018-12-15 11:44:14	ga_s2am_ard_3-2-1_50KPU_2018-12-15_final
2018-12-18 11:56:09	ga_s2am_ard_3-2-1_50JNL_2018-12-18_final
2019-03-19 11:26:56	ga_s2am_ard_3-2-1_51HVC_2019-03-19_final
2019-05-11 11:32:23	ga_s2am_ard_3-2-1_51KVB_2019-05-11_final
2019-06-19 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-06-19_final
2019-08-12 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-08-12_final
2019-08-26 11:27:03	ga_s2am_ard_3-2-1_51HUC_2019-08-26_final
2019-09-04 11:56:22	ga_s2am_ard_3-2-1_50JML_2019-09-04_final
2019-09-11 11:42:11	ga_s2am_ard_3-2-1_51KVB_2019-09-11_final
2019-10-18 11:35:48	ga_s2am_ard_3-2-1_51JUH_2019-10-18_final
2019-10-24 11:54:34	ga_s2am_ard_3-2-1_50KMU_2019-10-24_final
2019-12-07 11:37:04	ga_s2am_ard_3-2-1_50HPH_2019-12-07_final
2019-12-10 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2019-12-10_final
2019-12-14 11:24:46	ga_s2am_ard_3-2-1_51JYL_2019-12-14_final
2020-03-12 11:53:35	ga_s2am_ard_3-2-1_50KNB_2020-03-12_final
2020-04-14 12:05:07	ga_s2am_ard_3-2-1_50JLR_2020-04-14_final
2020-07-01 11:25:15	ga_s2am_ard_3-2-1_51JXK_2020-07-01_final
2020-07-20 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-07-20_final.stac-item
2020-07-30 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-07-30_final
2020-09-02 11:33:53	ga_s2am_ard_3-2-1_51KUR_2020-09-02_final
2020-09-05 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-09-05_final.stac-item
2020-10-21 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-10-21_final
2021-01-19 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-01-19_final
2021-02-15 11:53:16	ga_s2am_ard_3-2-1_50KQC_2021-02-15_final
2021-02-25 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-02-25_final.stac-item
2021-03-07 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-03-07_final.stac-item
2021-03-27 11:53:09	ga_s2am_ard_3-2-1_50KRC_2021-03-27_final
2021-04-13 11:42:58	ga_s2am_ard_3-2-1_50KRD_2021-04-13_final
2021-06-19 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-06-19_final.stac-item
2021-07-19 11:32:50	ga_s2am_ard_3-2-1_51KVV_2021-07-19_final
2021-07-22 11:45:15	ga_s2am_ard_3-2-1_50JNR_2021-07-22_final
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final
2021-12-06 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2021-12-06_final
2021-12-16 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2021-12-19 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-12-19_final
2021-12-22 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-12-22_final
2021-12-25 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-12-25_final
2022-01-28 11:44:10	ga_s2am_ard_3-2-1_50KPV_2022-01-28_final
2022-02-10 11:53:55	ga_s2am_ard_3-2-1_50KMA_2022-02-10_final
2022-03-25 12:03:44	ga_s2am_ard_3-2-1_50KLB_2022-03-25_final
2022-04-02 11:27:00	ga_s2am_ard_3-2-1_51HVC_2022-04-02_final
2022-04-22 11:26:45	ga_s2am_ard_3-2-1_51HWD_2022-04-22_final
2022-07-13 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-07-13_final
2022-08-02 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-08-02_final
2022-08-16 11:44:22	ga_s2am_ard_3-2-1_50KPV_2022-08-16_final
2022-08-20 11:27:11	ga_s2am_ard_3-2-1_51HVC_2022-08-20_final
2022-10-01 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-10-01_final.stac-item
2022-12-27 11:55:51	ga_s2am_ard_3-2-1_50JMN_2022-12-27_final.stac-item
2023-04-03 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-04-03_final.stac-item
2023-04-04 11:14:37	ga_s2am_ard_3-2-1_51JZM_2023-04-04_final.stac-item
2023-05-10 11:32:19	ga_s2am_ard_3-2-1_51KVB_2023-05-10_final.stac-item
2023-06-15 11:55:57	ga_s2am_ard_3-2-1_50JMN_2023-06-15_final.stac-item
2023-06-26 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-06-26_final.stac-item
2023-06-29 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-06-29_final.stac-item
2023-07-28 12:05:43	ga_s2am_ard_3-2-1_50JLP_2023-07-28_final.stac-item
2023-08-08 11:35:52	ga_s2am_ard_3-2-1_51JTH_2023-08-08_final.stac-item
2023-08-17 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2023-08-17_final.stac-item
2023-10-07 11:33:02	ga_s2am_ard_3-2-1_51KVU_2023-10-07_final.stac-item
2023-10-11 11:15:09	ga_s2am_ard_3-2-1_51JYK_2023-10-11_final.stac-item
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKN_2023-11-02_final.stac-item
2023-11-15 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-11-15_final.stac-item
2023-11-16 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-11-16_final.stac-item
2023-11-29 11:43:10	ga_s2am_ard_3-2-1_50KRC_2023-11-29_final.stac-item
2023-12-16 11:34:11	ga_s2am_ard_3-2-1_51JXN_2023-12-16_final.stac-item
2023-12-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-12-18_final.stac-item
2023-12-25 12:06:01	ga_s2am_ard_3-2-1_50JLM_2023-12-25_final.stac-item
2024-01-15 11:36:07	ga_s2am_ard_3-2-1_51JUF_2024-01-15_final.stac-item
2024-01-24 12:05:34	ga_s2am_ard_3-2-1_50JKP_2024-01-24_final.stac-item
2024-01-29 11:14:33	ga_s2am_ard_3-2-1_51JZM_2024-01-29_final.stac-item
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_final.stac-item
2024-04-03 12:03:21	ga_s2am_ard_3-2-1_50KMC_2024-04-03_final.stac-item
2024-04-17 11:44:41	ga_s2am_ard_3-2-1_50JPT_2024-04-17_final.stac-item
2024-04-23 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2024-04-23_final.stac-item
2024-05-07 11:45:49	ga_s2am_ard_3-2-1_50JQN_2024-05-07_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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