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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52KBC_2015-11-25_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51JTL_2016-02-19_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_50JPL_2016-04-26_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JTN_2016-06-25_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPK_2016-07-08_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_52JFS_2016-07-23_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HUE_2016-08-04_final.stac-item
2016-09-01 10:55:14	ga_s2am_ard_3-2-1_52JGL_2016-09-01_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMH_2016-09-19_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_52LBH_2016-12-09_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JUG_2017-01-08_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKM_2017-01-30_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HPK_2017-02-10_final
2017-03-30 10:52:12	ga_s2am_ard_3-2-1_52KGU_2017-03-30_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JES_2017-07-11_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50JNR_2017-07-23_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HMH_2017-09-21_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGK_2017-09-27_final
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KGC_2017-11-08_final
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52JFM_2017-11-28_final
2017-12-01 11:12:09	ga_s2am_ard_3-2-1_52KEF_2017-12-01_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51KZP_2017-12-31_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KCC_2018-01-10_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KGD_2018-01-27_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KGF_2018-01-27_final
2018-02-09 11:11:58	ga_s2am_ard_3-2-1_52KEF_2018-02-09_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KGB_2018-02-16_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTQ_2018-02-18_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KEC_2018-03-11_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51HTC_2018-03-17_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JXN_2018-04-23_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HNH_2018-09-26_final
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KDE_2018-10-27_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JFN_2018-11-03_final
2019-01-04 11:43:19	ga_s2am_ard_3-2-1_51KVS_2019-01-04_final
2019-01-18 11:23:17	ga_s2am_ard_3-2-1_52KBB_2019-01-18_final
2019-01-18 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2019-01-18_final
2019-01-24 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-01-24_final
2019-01-28 11:21:50	ga_s2am_ard_3-2-1_52LBH_2019-01-28_final
2019-05-12 11:02:44	ga_s2am_ard_3-2-1_52KHD_2019-05-12_final
2019-05-21 11:33:34	ga_s2am_ard_3-2-1_51KVS_2019-05-21_final
2019-07-28 10:55:50	ga_s2am_ard_3-2-1_52JFM_2019-07-28_final
2019-07-29 12:06:14	ga_s2am_ard_3-2-1_50JKM_2019-07-29_final
2019-10-17 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-10-17_final
2019-12-21 11:14:17	ga_s2am_ard_3-2-1_51JZN_2019-12-21_final
2020-01-06 11:32:09	ga_s2am_ard_3-2-1_51KWB_2020-01-06_final
2020-04-12 11:21:23	ga_s2am_ard_3-2-1_52LBK_2020-04-12_final
2020-07-04 11:33:07	ga_s2am_ard_3-2-1_51KXU_2020-07-04_final
2020-07-24 11:32:38	ga_s2am_ard_3-2-1_51KVA_2020-07-24_final
2020-08-06 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-08-06_final
2020-11-02 11:04:41	ga_s2am_ard_3-2-1_52JDS_2020-11-02_final
2020-11-25 11:13:41	ga_s2am_ard_3-2-1_52KBA_2020-11-25_final
2020-11-28 11:26:33	ga_s2am_ard_3-2-1_51HUE_2020-11-28_final
2020-12-11 11:35:23	ga_s2am_ard_3-2-1_51JVJ_2020-12-11_final
2021-02-22 11:43:14	ga_s2am_ard_3-2-1_51KUT_2021-02-22_final
2021-03-11 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-03-11_final
2021-03-21 11:32:10	ga_s2am_ard_3-2-1_51KXB_2021-03-21_final
2021-03-25 11:15:46	ga_s2am_ard_3-2-1_52JCM_2021-03-25_final
2021-04-20 11:34:29	ga_s2am_ard_3-2-1_51JUN_2021-04-20_final
2021-10-30 11:42:50	ga_s2am_ard_3-2-1_51KUV_2021-10-30_final
2022-01-15 11:33:24	ga_s2am_ard_3-2-1_51KXS_2022-01-15_final
2022-03-03 11:24:48	ga_s2am_ard_3-2-1_51JWM_2022-03-03_final
2022-03-26 11:34:42	ga_s2am_ard_3-2-1_51JWM_2022-03-26_final
2022-03-29 11:44:47	ga_s2am_ard_3-2-1_50JRS_2022-03-29_final
2022-04-12 11:25:23	ga_s2am_ard_3-2-1_51JYJ_2022-04-12_final
2022-05-09 11:13:05	ga_s2am_ard_3-2-1_52KEC_2022-05-09_final
2022-06-18 11:16:17	ga_s2am_ard_3-2-1_52JBL_2022-06-18_final
2022-06-21 11:23:37	ga_s2am_ard_3-2-1_51KYS_2022-06-21_final
2022-08-16 11:46:13	ga_s2am_ard_3-2-1_50JQM_2022-08-16_final
2022-08-16 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-08-16_final
2022-09-12 11:35:29	ga_s2am_ard_3-2-1_51JTK_2022-09-12_final.stac-item
2022-09-17 10:46:09	ga_s2am_ard_3-2-1_52JGL_2022-09-17_final.stac-item
2022-09-29 11:25:02	ga_s2am_ard_3-2-1_51JXL_2022-09-29_final.stac-item
2022-09-30 10:54:26	ga_s2am_ard_3-2-1_52JHT_2022-09-30_final.stac-item
2022-10-02 11:36:12	ga_s2am_ard_3-2-1_50JQM_2022-10-02_final.stac-item
2022-10-12 11:34:41	ga_s2am_ard_3-2-1_51JTN_2022-10-12_final.stac-item
2022-10-24 12:13:42	ga_s2am_ard_3-2-1_50KKB_2022-10-24_final.stac-item
2022-11-21 11:32:26	ga_s2am_ard_3-2-1_51KXA_2022-11-21_final.stac-item
2022-12-21 11:31:47	ga_s2am_ard_3-2-1_51LZC_2022-12-21_final.stac-item
2023-01-20 11:30:59	ga_s2am_ard_3-2-1_52LBL_2023-01-20_final.stac-item
2023-02-13 11:16:39	ga_s2am_ard_3-2-1_51HYD_2023-02-13_final.stac-item
2023-02-15 11:56:11	ga_s2am_ard_3-2-1_50JKM_2023-02-15_final.stac-item
2023-03-18 11:21:09	ga_s2am_ard_3-2-1_51LZF_2023-03-18_nrt.stac-item
2023-04-04 11:14:02	ga_s2am_ard_3-2-1_52KDU_2023-04-04_final.stac-item
2023-04-13 11:42:42	ga_s2am_ard_3-2-1_51KVV_2023-04-13_final.stac-item
2023-05-01 11:05:20	ga_s2am_ard_3-2-1_52JDP_2023-05-01_final.stac-item
2023-06-06 11:23:20	ga_s2am_ard_3-2-1_52KCB_2023-06-06_final.stac-item
2023-06-09 11:33:34	ga_s2am_ard_3-2-1_51KVS_2023-06-09_final.stac-item
2023-06-27 10:54:04	ga_s2am_ard_3-2-1_52KGU_2023-06-27_final.stac-item
2023-06-27 10:54:48	ga_s2am_ard_3-2-1_52JGR_2023-06-27_final.stac-item
2023-10-23 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2023-10-23_final.stac-item
2023-12-29 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-12-29_final.stac-item
2023-12-29 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-12-29_final.stac-item
2024-01-15 11:33:35	ga_s2am_ard_3-2-1_51KWR_2024-01-15_final.stac-item
2024-02-16 12:14:29	ga_s2am_ard_3-2-1_49KFP_2024-02-16_nrt.stac-item
2024-02-18 11:13:02	ga_s2am_ard_3-2-1_52KDC_2024-02-18_final.stac-item
2024-02-24 11:35:49	ga_s2am_ard_3-2-1_50JQN_2024-02-24_final.stac-item
2024-03-02 11:23:10	ga_s2am_ard_3-2-1_51KYT_2024-03-02_final.stac-item
2024-03-08 11:43:51	ga_s2am_ard_3-2-1_50KQA_2024-03-08_final.stac-item
2024-03-14 12:04:57	ga_s2am_ard_3-2-1_50JKS_2024-03-14_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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