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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGK_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGP_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HPK_2016-01-20_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGM_2016-05-05_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPH_2016-06-25_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51KXS_2016-11-19_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHR_2017-01-30_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51KYS_2017-09-15_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51LYE_2017-09-28_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXS_2017-11-27_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWB_2017-12-17_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVS_2018-02-15_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KXU_2018-03-07_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HTC_2018-04-16_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KWQ_2018-05-13_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KWQ_2018-06-25_final
2018-07-22 11:17:00	ga_s2am_ard_3-2-1_51KYU_2018-07-22_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KVT_2018-10-23_final
2018-11-09 11:23:45	ga_s2am_ard_3-2-1_51KZQ_2018-11-09_final
2018-11-15 11:47:09	ga_s2am_ard_3-2-1_50HLH_2018-11-15_final
2018-11-26 11:16:51	ga_s2am_ard_3-2-1_51HWC_2018-11-26_final.stac-item
2018-12-02 11:33:30	ga_s2am_ard_3-2-1_51KXR_2018-12-02_final
2018-12-15 11:43:03	ga_s2am_ard_3-2-1_51KVT_2018-12-15_final
2018-12-26 11:16:51	ga_s2am_ard_3-2-1_51HWC_2018-12-26_final.stac-item
2018-12-28 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2018-12-28_final
2019-01-04 11:43:12	ga_s2am_ard_3-2-1_51KTT_2019-01-04_final
2019-01-08 11:23:38	ga_s2am_ard_3-2-1_51KXR_2019-01-08_final
2019-01-24 11:43:40	ga_s2am_ard_3-2-1_51KUR_2019-01-24_final
2019-03-05 11:42:40	ga_s2am_ard_3-2-1_51KUV_2019-03-05_final
2019-03-12 11:33:26	ga_s2am_ard_3-2-1_51KVS_2019-03-12_final
2019-03-29 11:23:40	ga_s2am_ard_3-2-1_51KYR_2019-03-29_final
2019-06-03 11:42:48	ga_s2am_ard_3-2-1_51KUV_2019-06-03_final
2019-06-17 11:27:02	ga_s2am_ard_3-2-1_51HVC_2019-06-17_final
2019-08-26 11:23:08	ga_s2am_ard_3-2-1_51KZT_2019-08-26_final
2019-08-26 11:23:41	ga_s2am_ard_3-2-1_51KYR_2019-08-26_final
2019-09-11 11:47:22	ga_s2am_ard_3-2-1_50HMG_2019-09-11_final.stac-item
2019-09-18 11:36:37	ga_s2am_ard_3-2-1_50HPK_2019-09-18_final
2019-09-28 11:34:01	ga_s2am_ard_3-2-1_51KVQ_2019-09-28_final
2019-11-24 11:23:43	ga_s2am_ard_3-2-1_51KXR_2019-11-24_final
2019-12-27 11:32:57	ga_s2am_ard_3-2-1_51KYT_2019-12-27_final
2020-01-03 11:23:01	ga_s2am_ard_3-2-1_52KBC_2020-01-03_final
2020-02-01 11:52:12	ga_s2am_ard_3-2-1_50KQG_2020-02-01_final.stac-item
2020-03-06 11:32:53	ga_s2am_ard_3-2-1_51KWU_2020-03-06_final
2020-03-09 11:43:14	ga_s2am_ard_3-2-1_51KTT_2020-03-09_final
2020-04-25 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2020-04-25_final
2020-05-02 11:23:42	ga_s2am_ard_3-2-1_51KYR_2020-05-02_final
2020-05-28 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-28_final
2020-06-01 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2020-06-01_final
2020-07-21 11:23:48	ga_s2am_ard_3-2-1_51KXR_2020-07-21_final
2020-08-11 10:55:52	ga_s2am_ard_3-2-1_52JFM_2020-08-11_final
2020-10-22 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-10-22_final
2020-12-17 11:55:57	ga_s2am_ard_3-2-1_50JKN_2020-12-17_final
2020-12-18 11:23:01	ga_s2am_ard_3-2-1_51KZT_2020-12-18_final
2021-02-19 11:33:37	ga_s2am_ard_3-2-1_51KXR_2021-02-19_final
2021-05-07 11:23:48	ga_s2am_ard_3-2-1_51KZQ_2021-05-07_final
2021-05-07 11:26:40	ga_s2am_ard_3-2-1_51HUD_2021-05-07_final
2021-05-16 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-05-16_final
2021-05-27 11:24:12	ga_s2am_ard_3-2-1_51KXP_2021-05-27_final
2021-06-16 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-06-16_final
2021-07-18 12:04:31	ga_s2am_ard_3-2-1_50KKU_2021-07-18_final
2021-09-07 11:33:09	ga_s2am_ard_3-2-1_51KXT_2021-09-07_final
2021-09-14 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-09-14_final
2021-10-27 11:33:32	ga_s2am_ard_3-2-1_51KWS_2021-10-27_final
2021-10-27 11:33:35	ga_s2am_ard_3-2-1_51KVS_2021-10-27_final
2021-11-26 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-11-26_final.stac-item
2021-12-03 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-12-03_final
2021-12-16 11:33:22	ga_s2am_ard_3-2-1_51KUT_2021-12-16_final
2021-12-19 11:41:02	ga_s2am_ard_3-2-1_51LWG_2021-12-19_final.stac-item
2022-01-09 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2022-01-09_final
2022-01-25 11:32:26	ga_s2am_ard_3-2-1_51KXA_2022-01-25_final
2022-04-04 12:04:00	ga_s2am_ard_3-2-1_50KKA_2022-04-04_final
2022-04-08 11:41:34	ga_s2am_ard_3-2-1_51LUE_2022-04-08_final
2022-07-01 11:23:48	ga_s2am_ard_3-2-1_51KZR_2022-07-01_final
2022-10-12 11:33:29	ga_s2am_ard_3-2-1_51KXS_2022-10-12_final.stac-item
2022-10-15 11:42:50	ga_s2am_ard_3-2-1_51KUV_2022-10-15_final.stac-item
2022-12-01 11:33:22	ga_s2am_ard_3-2-1_51KUT_2022-12-01_final.stac-item
2023-01-30 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-30_final.stac-item
2023-02-26 11:23:26	ga_s2am_ard_3-2-1_51KXS_2023-02-26_final.stac-item
2023-02-26 11:24:02	ga_s2am_ard_3-2-1_51KZP_2023-02-26_final.stac-item
2023-03-01 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2023-03-01_final.stac-item
2023-04-26 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-04-26_final.stac-item
2023-05-07 11:21:20	ga_s2am_ard_3-2-1_51LZE_2023-05-07_final.stac-item
2023-06-23 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2023-06-23_final.stac-item
2023-07-26 11:23:44	ga_s2am_ard_3-2-1_51KYR_2023-07-26_final.stac-item
2023-08-01 11:43:24	ga_s2am_ard_3-2-1_50KRC_2023-08-01_final.stac-item
2023-09-14 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-09-14_final.stac-item
2023-10-20 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-10-20_final.stac-item
2023-11-03 11:23:38	ga_s2am_ard_3-2-1_51KYR_2023-11-03_final.stac-item
2023-11-03 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2023-11-03_final.stac-item
2023-11-09 11:43:29	ga_s2am_ard_3-2-1_51KUS_2023-11-09_final.stac-item
2023-11-30 11:13:46	ga_s2am_ard_3-2-1_51KZQ_2023-11-30_final.stac-item
2023-11-30 11:15:57	ga_s2am_ard_3-2-1_52JBL_2023-11-30_final.stac-item
2023-12-20 11:13:25	ga_s2am_ard_3-2-1_52KBB_2023-12-20_final.stac-item
2023-12-26 11:36:58	ga_s2am_ard_3-2-1_51HTC_2023-12-26_final.stac-item
2024-01-08 11:42:56	ga_s2am_ard_3-2-1_51KUU_2024-01-08_final.stac-item
2024-01-22 11:21:18	ga_s2am_ard_3-2-1_51LZE_2024-01-22_final.stac-item
2024-01-28 11:42:58	ga_s2am_ard_3-2-1_51KTU_2024-01-28_final.stac-item
2024-03-12 11:23:35	ga_s2am_ard_3-2-1_51KZR_2024-03-12_final.stac-item
2024-04-18 11:14:12	ga_s2am_ard_3-2-1_51KZP_2024-04-18_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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