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
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_50KMA_2016-03-06_final.stac-item
2016-03-19 12:13:40	ga_s2am_ard_3-2-1_49KHR_2016-03-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUQ_2016-04-29_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVS_2016-05-16_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52KEV_2016-06-19_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-07-17_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KNC_2016-08-23_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KFC_2016-09-27_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HTC_2016-10-03_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51LVC_2017-01-24_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KWT_2017-01-31_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KGP_2017-02-09_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQN_2017-03-25_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGK_2017-04-23_final.stac-item
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JGQ_2017-06-28_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKN_2017-07-09_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KVS_2017-07-10_final
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52KFC_2017-07-21_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JLL_2017-09-24_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JNL_2017-09-24_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KFC_2017-10-09_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51LXC_2017-11-07_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JER_2017-11-08_final
2017-12-04 11:16:54	ga_s2am_ard_3-2-1_52KDG_2017-12-04_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KBA_2018-01-10_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGN_2018-01-15_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JYJ_2018-02-02_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52LFJ_2018-02-19_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JMS_2018-06-04_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYH_2018-06-19_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KWQ_2018-07-05_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JWK_2018-10-13_final
2019-01-15 11:15:49	ga_s2am_ard_3-2-1_51JYG_2019-01-15_final
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-02-19 12:06:06	ga_s2am_ard_3-2-1_50JKM_2019-02-19_final
2019-04-13 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-04-13_final
2019-06-28 10:54:49	ga_s2am_ard_3-2-1_52JGR_2019-06-28_final
2019-07-02 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-07-02_final
2019-11-17 11:36:59	ga_s2am_ard_3-2-1_51HUC_2019-11-17_final
2019-12-08 11:06:03	ga_s2am_ard_3-2-1_52JCL_2019-12-08_final
2020-01-14 10:55:36	ga_s2am_ard_3-2-1_52JGM_2020-01-14_final
2020-01-26 11:32:56	ga_s2am_ard_3-2-1_51KYT_2020-01-26_final
2020-02-05 11:31:48	ga_s2am_ard_3-2-1_51LXC_2020-02-05_final
2020-04-05 11:36:14	ga_s2am_ard_3-2-1_51JTF_2020-04-05_final
2020-05-05 11:33:20	ga_s2am_ard_3-2-1_51KVT_2020-05-05_final
2020-05-12 11:26:27	ga_s2am_ard_3-2-1_51HXE_2020-05-12_final
2020-05-21 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-05-21_final
2020-08-07 11:16:08	ga_s2am_ard_3-2-1_52JCL_2020-08-07_final
2020-08-23 11:35:10	ga_s2am_ard_3-2-1_51JTL_2020-08-23_final
2020-11-25 11:13:05	ga_s2am_ard_3-2-1_52KDC_2020-11-25_final
2020-12-08 11:23:03	ga_s2am_ard_3-2-1_52KBC_2020-12-08_final
2020-12-11 11:35:15	ga_s2am_ard_3-2-1_51JTK_2020-12-11_final
2021-01-30 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-01-30_final
2021-03-14 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-03-14_final
2021-03-15 11:13:39	ga_s2am_ard_3-2-1_52KBA_2021-03-15_final
2021-04-08 10:55:52	ga_s2am_ard_3-2-1_52JGL_2021-04-08_final
2021-05-01 11:06:08	ga_s2am_ard_3-2-1_52JBL_2021-05-01_final
2021-05-29 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-05-29_final
2021-06-08 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-06-08_final
2021-06-23 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-06-23_final
2021-07-29 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-29_final
2021-08-18 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-08-18_final
2021-09-30 11:46:42	ga_s2am_ard_3-2-1_50HNK_2021-09-30_final
2021-11-23 11:23:10	ga_s2am_ard_3-2-1_51KYT_2021-11-23_final
2022-02-28 11:11:55	ga_s2am_ard_3-2-1_52LDH_2022-02-28_final
2022-03-03 11:24:40	ga_s2am_ard_3-2-1_51JYM_2022-03-03_final
2022-04-24 12:04:47	ga_s2am_ard_3-2-1_50JKT_2022-04-24_final
2022-04-29 11:14:58	ga_s2am_ard_3-2-1_52JBR_2022-04-29_final
2022-05-12 11:26:39	ga_s2am_ard_3-2-1_51HXD_2022-05-12_final
2022-05-31 11:54:48	ga_s2am_ard_3-2-1_50JMT_2022-05-31_final
2022-07-30 11:54:18	ga_s2am_ard_3-2-1_50KNV_2022-07-30_final
2022-08-01 10:54:54	ga_s2am_ard_3-2-1_52JGR_2022-08-01_final
2022-08-03 11:32:57	ga_s2am_ard_3-2-1_51KVV_2022-08-03_final
2022-09-05 11:45:48	ga_s2am_ard_3-2-1_50JPP_2022-09-05_final.stac-item
2022-09-14 12:15:10	ga_s2am_ard_3-2-1_49JFM_2022-09-14_final.stac-item
2022-09-26 11:15:59	ga_s2am_ard_3-2-1_52JBM_2022-09-26_final.stac-item
2022-10-03 11:03:30	ga_s2am_ard_3-2-1_52KHA_2022-10-03_final.stac-item
2022-10-06 11:15:56	ga_s2am_ard_3-2-1_52JCM_2022-10-06_final.stac-item
2022-11-14 13:21:47	ga_s2am_ard_3-2-1_47LKG_2022-11-14_interim.stac-item
2022-11-18 11:26:13	ga_s2am_ard_3-2-1_51JWF_2022-11-18_final.stac-item
2022-12-18 11:27:01	ga_s2am_ard_3-2-1_51HUC_2022-12-18_final.stac-item
2023-01-10 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-01-10_final.stac-item
2023-01-19 12:03:28	ga_s2am_ard_3-2-1_50KNB_2023-01-19_final.stac-item
2023-01-31 11:01:59	ga_s2am_ard_3-2-1_52KGG_2023-01-31_final.stac-item
2023-05-21 11:05:40	ga_s2am_ard_3-2-1_52JCN_2023-05-21_final.stac-item
2023-05-27 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-05-27_final.stac-item
2023-06-18 12:03:24	ga_s2am_ard_3-2-1_50KNC_2023-06-18_final.stac-item
2023-07-06 11:21:15	ga_s2am_ard_3-2-1_52LBL_2023-07-06_nrt.stac-item
2023-08-08 11:36:22	ga_s2am_ard_3-2-1_51JTF_2023-08-08_final.stac-item
2023-12-29 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-12-29_final.stac-item
2024-01-05 11:36:39	ga_s2am_ard_3-2-1_51HUD_2024-01-05_final.stac-item
2024-01-15 11:33:56	ga_s2am_ard_3-2-1_51KUQ_2024-01-15_final.stac-item
2024-01-22 11:23:06	ga_s2am_ard_3-2-1_51KXT_2024-01-22_final.stac-item
2024-01-25 11:32:26	ga_s2am_ard_3-2-1_51KVA_2024-01-25_final.stac-item
2024-03-06 11:03:31	ga_s2am_ard_3-2-1_52KFA_2024-03-06_final.stac-item
2024-03-11 11:53:21	ga_s2am_ard_3-2-1_50KPC_2024-03-11_final.stac-item
2024-03-29 11:13:40	ga_s2am_ard_3-2-1_51KZR_2024-03-29_final.stac-item
2024-04-01 11:21:09	ga_s2am_ard_3-2-1_51LZF_2024-04-01_final.stac-item
2024-04-11 11:25:04	ga_s2am_ard_3-2-1_51JVL_2024-04-11_final.stac-item
2024-04-17 11:42:34	ga_s2am_ard_3-2-1_51KVA_2024-04-17_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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