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
2016-04-12 11:56:25	ga_s2am_ard_3-2-1_50HLK_2016-04-12_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLH_2016-05-09_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JBR_2016-07-09_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMH_2016-09-19_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLL_2016-09-19_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JML_2016-10-09_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JVG_2017-03-19_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52JBL_2017-06-21_final
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51KZP_2017-10-25_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KVR_2018-02-25_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51JYG_2018-03-21_final
2018-04-14 10:47:26	ga_s2am_ard_3-2-1_52JGL_2018-04-14_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KXT_2018-06-05_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JCL_2018-07-26_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLN_2018-08-20_final
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_51KZR_2018-08-31_final
2018-11-12 11:33:18	ga_s2am_ard_3-2-1_51KXS_2018-11-12_final
2018-11-25 11:42:01	ga_s2am_ard_3-2-1_51KWB_2018-11-25_final
2018-12-16 11:14:51	ga_s2am_ard_3-2-1_52JDQ_2018-12-16_final
2019-02-04 11:16:05	ga_s2am_ard_3-2-1_51JYF_2019-02-04_final
2019-02-21 11:05:04	ga_s2am_ard_3-2-1_52JCQ_2019-02-21_final
2019-03-08 11:55:47	ga_s2am_ard_3-2-1_50JMN_2019-03-08_final
2019-04-14 11:45:34	ga_s2am_ard_3-2-1_50JQP_2019-04-14_final
2019-04-15 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-04-15_final
2019-05-20 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-05-20_final
2019-05-27 11:54:40	ga_s2am_ard_3-2-1_50JNT_2019-05-27_final
2019-07-10 11:33:50	ga_s2am_ard_3-2-1_51KVR_2019-07-10_final
2019-08-15 11:53:42	ga_s2am_ard_3-2-1_50KNB_2019-08-15_final
2019-10-15 11:23:10	ga_s2am_ard_3-2-1_51KZT_2019-10-15_final
2019-11-24 11:21:55	ga_s2am_ard_3-2-1_51LZC_2019-11-24_final
2020-02-08 11:45:06	ga_s2am_ard_3-2-1_51JTK_2020-02-08_final
2020-02-08 11:45:31	ga_s2am_ard_3-2-1_50JNP_2020-02-08_final
2020-02-25 11:36:56	ga_s2am_ard_3-2-1_51HTC_2020-02-25_final
2020-03-23 11:25:42	ga_s2am_ard_3-2-1_51JVH_2020-03-23_final
2020-04-18 11:47:14	ga_s2am_ard_3-2-1_50HLH_2020-04-18_final
2020-06-11 11:24:10	ga_s2am_ard_3-2-1_51KWQ_2020-06-11_final
2020-07-04 11:32:55	ga_s2am_ard_3-2-1_51KYU_2020-07-04_final
2020-07-17 11:46:31	ga_s2am_ard_3-2-1_50JML_2020-07-17_final
2020-09-19 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-09-19_final
2020-10-19 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-10-19_final
2020-10-22 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-10-22_final
2020-11-01 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-11-01_final
2020-11-18 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2020-11-18_final
2020-12-11 11:31:56	ga_s2am_ard_3-2-1_51LWC_2020-12-11_final
2021-01-20 11:34:37	ga_s2am_ard_3-2-1_50JRT_2021-01-20_final
2021-01-31 11:05:23	ga_s2am_ard_3-2-1_52JCP_2021-01-31_final
2021-03-02 11:06:03	ga_s2am_ard_3-2-1_52JDL_2021-03-02_final
2021-04-20 11:36:33	ga_s2am_ard_3-2-1_50HPK_2021-04-20_final
2021-05-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-05-02_final
2021-05-07 11:23:05	ga_s2am_ard_3-2-1_51KZT_2021-05-07_final
2021-05-20 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-05-20_final
2021-05-23 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-05-23_final
2021-06-08 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-06-08_final
2021-07-22 11:42:33	ga_s2am_ard_3-2-1_51KUA_2021-07-22_final
2021-08-02 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2021-08-02_final
2021-08-22 11:16:08	ga_s2am_ard_3-2-1_52JBL_2021-08-22_final
2021-09-17 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-09-17_final
2021-09-24 11:23:04	ga_s2am_ard_3-2-1_51KXU_2021-09-24_final
2021-09-27 11:33:20	ga_s2am_ard_3-2-1_51KVT_2021-09-27_final
2021-10-07 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-07_final
2021-10-10 11:43:17	ga_s2am_ard_3-2-1_51KVT_2021-10-10_final
2021-11-15 12:06:11	ga_s2am_ard_3-2-1_50JKM_2021-11-15_final
2021-11-26 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-11-26_final
2021-12-06 11:33:41	ga_s2am_ard_3-2-1_51KWR_2021-12-06_final
2022-02-01 11:25:38	ga_s2am_ard_3-2-1_51JXH_2022-02-01_final
2022-04-12 11:23:32	ga_s2am_ard_3-2-1_51KXS_2022-04-12_final
2022-05-28 11:45:14	ga_s2am_ard_3-2-1_50JPR_2022-05-28_final
2022-05-29 11:14:28	ga_s2am_ard_3-2-1_52JCT_2022-05-29_final
2022-06-18 11:14:20	ga_s2am_ard_3-2-1_51KZP_2022-06-18_final
2022-06-24 11:34:05	ga_s2am_ard_3-2-1_51KXQ_2022-06-24_final
2022-07-22 10:55:53	ga_s2am_ard_3-2-1_52JGM_2022-07-22_final
2022-08-06 11:46:41	ga_s2am_ard_3-2-1_50HQK_2022-08-06_final
2022-08-20 11:23:48	ga_s2am_ard_3-2-1_51KZR_2022-08-20_final
2022-09-12 11:35:14	ga_s2am_ard_3-2-1_51JTL_2022-09-12_final.stac-item
2022-09-16 11:16:12	ga_s2am_ard_3-2-1_52JCL_2022-09-16_final.stac-item
2022-10-02 11:34:57	ga_s2am_ard_3-2-1_51JTM_2022-10-02_final.stac-item
2022-10-12 11:33:18	ga_s2am_ard_3-2-1_51KWT_2022-10-12_final.stac-item
2022-11-15 11:16:33	ga_s2am_ard_3-2-1_51HWE_2022-11-15_final.stac-item
2023-03-08 11:21:06	ga_s2am_ard_3-2-1_51LZF_2023-03-08_nrt.stac-item
2023-04-30 11:33:42	ga_s2am_ard_3-2-1_51KWR_2023-04-30_final.stac-item
2023-06-18 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2023-06-18_final.stac-item
2023-06-22 11:41:22	ga_s2am_ard_3-2-1_51LUF_2023-06-22_final.stac-item
2023-06-23 11:15:25	ga_s2am_ard_3-2-1_52JBP_2023-06-23_final.stac-item
2023-08-11 11:46:09	ga_s2am_ard_3-2-1_50JPM_2023-08-11_final.stac-item
2023-08-18 11:33:48	ga_s2am_ard_3-2-1_51KWR_2023-08-18_final.stac-item
2023-09-17 11:36:30	ga_s2am_ard_3-2-1_50JPL_2023-09-17_final.stac-item
2023-10-01 12:51:02	ga_s2am_ard_3-2-1_48LWP_2023-10-01_final.stac-item
2023-10-27 11:33:42	ga_s2am_ard_3-2-1_51KWR_2023-10-27_final.stac-item
2023-11-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-11-12_final.stac-item
2023-11-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-11-12_final.stac-item
2023-12-16 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2023-12-16_nrt.stac-item
2024-01-05 11:31:39	ga_s2am_ard_3-2-1_51LXD_2024-01-05_final.stac-item
2024-02-26 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2024-02-26_final.stac-item
2024-03-02 11:23:07	ga_s2am_ard_3-2-1_51KZT_2024-03-02_final.stac-item
2024-03-12 11:22:24	ga_s2am_ard_3-2-1_51KZA_2024-03-12_final.stac-item
2024-03-14 12:05:29	ga_s2am_ard_3-2-1_49JGK_2024-03-14_final.stac-item
2024-03-19 11:15:48	ga_s2am_ard_3-2-1_52JCM_2024-03-19_final.stac-item
2024-04-11 11:23:25	ga_s2am_ard_3-2-1_51KYS_2024-04-11_final.stac-item
2024-04-21 11:23:42	ga_s2am_ard_3-2-1_51KYR_2024-04-21_final.stac-item
2024-04-28 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2024-04-28_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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