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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KVQ_2015-12-08_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KVU_2016-03-07_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-08_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KVU_2016-05-29_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JXJ_2016-07-09_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHQ_2016-08-23_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JGM_2016-08-26_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMJ_2017-04-07_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50HLK_2017-04-27_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KWR_2017-07-10_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-11-29_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KYA_2018-01-13_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JPL_2018-02-25_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51LWG_2018-02-28_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKM_2018-03-13_final
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51JXK_2018-04-13_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LWC_2018-05-19_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KXR_2018-06-22_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51LWG_2018-06-28_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JPL_2018-07-28_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JPR_2018-07-31_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JNN_2018-08-20_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JVJ_2018-08-31_final
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JVG_2018-09-20_final
2018-11-11 12:04:37	ga_s2am_ard_3-2-1_50JKT_2018-11-11_final
2019-03-05 11:43:31	ga_s2am_ard_3-2-1_51KVR_2019-03-05_final
2019-04-11 11:32:52	ga_s2am_ard_3-2-1_51KYU_2019-04-11_final
2019-05-05 11:17:02	ga_s2am_ard_3-2-1_51HWC_2019-05-05_final.stac-item
2019-05-31 11:34:46	ga_s2am_ard_3-2-1_51JVM_2019-05-31_final
2019-06-26 11:52:24	ga_s2am_ard_3-2-1_50KQG_2019-06-26_final.stac-item
2019-09-22 11:14:09	ga_s2am_ard_3-2-1_51KZP_2019-09-22_final
2019-10-05 11:23:01	ga_s2am_ard_3-2-1_51KYU_2019-10-05_final
2019-11-07 11:36:45	ga_s2am_ard_3-2-1_51HUD_2019-11-07_final
2019-12-19 12:13:48	ga_s2am_ard_3-2-1_50KKA_2019-12-19_final
2020-02-08 11:43:43	ga_s2am_ard_3-2-1_50KQA_2020-02-08_final
2020-02-12 11:23:42	ga_s2am_ard_3-2-1_51KZQ_2020-02-12_final
2020-02-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2020-02-28_final
2020-03-05 12:04:00	ga_s2am_ard_3-2-1_50KKA_2020-03-05_final
2020-04-01 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-04-01_final
2020-05-08 11:46:17	ga_s2am_ard_3-2-1_50JMM_2020-05-08_final
2020-05-24 12:04:09	ga_s2am_ard_3-2-1_50KMV_2020-05-24_final
2020-09-06 11:15:47	ga_s2am_ard_3-2-1_51JXH_2020-09-06_final
2020-09-19 11:27:03	ga_s2am_ard_3-2-1_51HVC_2020-09-19_final
2020-09-26 11:15:48	ga_s2am_ard_3-2-1_51JXH_2020-09-26_final
2020-10-28 11:54:49	ga_s2am_ard_3-2-1_50JLT_2020-10-28_final
2020-11-30 12:03:44	ga_s2am_ard_3-2-1_50KKB_2020-11-30_final
2020-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2020-12-21_final
2021-01-17 11:26:48	ga_s2am_ard_3-2-1_51HUD_2021-01-17_final
2021-01-29 12:03:41	ga_s2am_ard_3-2-1_50KLB_2021-01-29_final
2021-02-16 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2021-02-16_final
2021-03-01 11:36:02	ga_s2am_ard_3-2-1_51JTG_2021-03-01_final
2021-03-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-03-03_final
2021-05-17 11:22:52	ga_s2am_ard_3-2-1_51KZU_2021-05-17_final
2021-05-27 11:22:53	ga_s2am_ard_3-2-1_51KZU_2021-05-27_final
2021-07-16 11:26:58	ga_s2am_ard_3-2-1_51HWC_2021-07-16_final.stac-item
2021-09-10 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-09-10_final
2021-10-17 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2021-10-17_final
2021-10-19 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-19_final
2021-10-24 11:25:00	ga_s2am_ard_3-2-1_51JXL_2021-10-24_final
2021-11-16 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2021-11-16_final
2021-12-09 11:46:29	ga_s2am_ard_3-2-1_50HPK_2021-12-09_final
2021-12-20 11:13:41	ga_s2am_ard_3-2-1_51KZR_2021-12-20_final
2022-01-28 11:41:18	ga_s2am_ard_3-2-1_51LUF_2022-01-28_final
2022-03-19 11:41:22	ga_s2am_ard_3-2-1_51LUF_2022-03-19_final
2022-04-29 11:16:13	ga_s2am_ard_3-2-1_51JYF_2022-04-29_final
2022-05-05 11:32:05	ga_s2am_ard_3-2-1_51LWC_2022-05-05_final
2022-06-17 11:42:06	ga_s2am_ard_3-2-1_51LWC_2022-06-17_final
2022-06-17 11:44:21	ga_s2am_ard_3-2-1_50KPV_2022-06-17_final
2022-07-04 11:33:03	ga_s2am_ard_3-2-1_51KYU_2022-07-04_final
2022-07-07 11:42:40	ga_s2am_ard_3-2-1_51KVA_2022-07-07_final
2022-09-15 11:43:06	ga_s2am_ard_3-2-1_51KVU_2022-09-15_final.stac-item
2022-10-12 11:33:39	ga_s2am_ard_3-2-1_51KUS_2022-10-12_final.stac-item
2022-10-15 11:43:29	ga_s2am_ard_3-2-1_51KVS_2022-10-15_final.stac-item
2022-12-08 11:26:33	ga_s2am_ard_3-2-1_51HUE_2022-12-08_final.stac-item
2022-12-14 11:46:08	ga_s2am_ard_3-2-1_50JNM_2022-12-14_final.stac-item
2023-04-04 11:15:10	ga_s2am_ard_3-2-1_51JYK_2023-04-04_final.stac-item
2023-04-06 11:56:25	ga_s2am_ard_3-2-1_50JLL_2023-04-06_final.stac-item
2023-05-14 11:14:23	ga_s2am_ard_3-2-1_51JZN_2023-05-14_final.stac-item
2023-05-20 11:32:53	ga_s2am_ard_3-2-1_51KYU_2023-05-20_final.stac-item
2023-06-13 11:13:44	ga_s2am_ard_3-2-1_51KZR_2023-06-13_final.stac-item
2023-06-16 11:26:01	ga_s2am_ard_3-2-1_51JWG_2023-06-16_final.stac-item
2023-06-22 11:46:26	ga_s2am_ard_3-2-1_50JNL_2023-06-22_final.stac-item
2023-06-25 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-06-25_final.stac-item
2023-07-22 11:41:22	ga_s2am_ard_3-2-1_51LUF_2023-07-22_final.stac-item
2023-07-22 11:42:46	ga_s2am_ard_3-2-1_51KVV_2023-07-22_final.stac-item
2023-08-05 11:24:17	ga_s2am_ard_3-2-1_51KXP_2023-08-05_final.stac-item
2023-12-26 11:36:43	ga_s2am_ard_3-2-1_51HTD_2023-12-26_final.stac-item
2024-01-08 11:43:15	ga_s2am_ard_3-2-1_51KTT_2024-01-08_final.stac-item
2024-02-06 12:14:52	ga_s2am_ard_3-2-1_49JGM_2024-02-06_final.stac-item
2024-02-07 11:43:00	ga_s2am_ard_3-2-1_50KRD_2024-02-07_final.stac-item
2024-02-07 11:46:28	ga_s2am_ard_3-2-1_50HPK_2024-02-07_final.stac-item
2024-02-13 12:03:41	ga_s2am_ard_3-2-1_50KKB_2024-02-13_final.stac-item
2024-02-14 11:33:00	ga_s2am_ard_3-2-1_51KYT_2024-02-14_final.stac-item
2024-02-16 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-02-16_final.stac-item
2024-02-24 11:36:22	ga_s2am_ard_3-2-1_51HVE_2024-02-24_final.stac-item
2024-03-15 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2024-03-15_final.stac-item
2024-03-22 11:23:01	ga_s2am_ard_3-2-1_51KXU_2024-03-22_final.stac-item
2024-05-04 11:36:29	ga_s2am_ard_3-2-1_50JPL_2024-05-04_final.stac-item
2024-05-14 11:37:20	ga_s2am_ard_3-2-1_50HQG_2024-05-14_final.stac-item
2024-05-24 11:36:45	ga_s2am_ard_3-2-1_51HTD_2024-05-24_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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