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
2015-10-04 10:45:32	ga_s2am_ard_3-2-1_52JGL_2015-10-04_final.stac-item
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50JLL_2015-11-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52LCK_2016-01-24_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KVA_2016-06-18_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KDV_2016-12-26_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JXF_2017-01-18_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52JCL_2017-04-02_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HLH_2017-07-03_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGM_2017-08-28_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52KEC_2018-01-07_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVR_2018-02-15_final
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52KFG_2018-03-18_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_51JXJ_2018-05-10_final
2018-06-05 11:26:21	ga_s2am_ard_3-2-1_51LXD_2018-06-05_final
2018-07-15 11:26:22	ga_s2am_ard_3-2-1_52LBK_2018-07-15_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HUD_2018-09-10_final
2018-11-13 11:03:17	ga_s2am_ard_3-2-1_52KHA_2018-11-13_final
2019-02-24 11:10:25	ga_s2am_ard_3-2-1_52LGN_2019-02-24_final
2019-03-05 11:41:53	ga_s2am_ard_3-2-1_51LVC_2019-03-05_final
2019-03-09 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2019-03-09_final
2019-03-11 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-03-11_final
2019-03-15 11:45:53	ga_s2am_ard_3-2-1_51JTG_2019-03-15_final
2019-03-23 11:01:30	ga_s2am_ard_3-2-1_52LGJ_2019-03-23_final
2019-03-29 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2019-03-29_final
2019-04-04 11:43:26	ga_s2am_ard_3-2-1_51KVS_2019-04-04_final
2019-04-24 11:43:15	ga_s2am_ard_3-2-1_51KVT_2019-04-24_final
2019-07-20 11:33:27	ga_s2am_ard_3-2-1_51KUT_2019-07-20_final
2019-11-04 11:26:08	ga_s2am_ard_3-2-1_51JUG_2019-11-04_final
2019-11-24 11:23:28	ga_s2am_ard_3-2-1_51KXS_2019-11-24_final
2019-12-21 11:11:28	ga_s2am_ard_3-2-1_52LEJ_2019-12-21_final
2020-01-13 11:21:20	ga_s2am_ard_3-2-1_51LZE_2020-01-13_final
2020-01-23 11:26:47	ga_s2am_ard_3-2-1_51HUC_2020-01-23_final
2020-02-11 11:55:39	ga_s2am_ard_3-2-1_50JKP_2020-02-11_final
2020-02-29 11:13:40	ga_s2am_ard_3-2-1_52KEV_2020-02-29_final
2020-03-16 11:33:20	ga_s2am_ard_3-2-1_51KXS_2020-03-16_final
2020-03-17 11:02:58	ga_s2am_ard_3-2-1_52KFC_2020-03-17_final
2020-03-23 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2020-03-23_final
2020-04-05 11:33:09	ga_s2am_ard_3-2-1_51KWT_2020-04-05_final
2020-04-25 11:33:05	ga_s2am_ard_3-2-1_51KWU_2020-04-25_final
2020-04-26 11:04:49	ga_s2am_ard_3-2-1_52JER_2020-04-26_final
2020-04-26 11:06:26	ga_s2am_ard_3-2-1_52HBK_2020-04-26_final
2020-05-05 11:32:18	ga_s2am_ard_3-2-1_51KWB_2020-05-05_final
2020-06-23 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-06-23_final
2020-08-03 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-08-03_final
2020-09-25 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-09-25_final
2020-11-01 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-11-01_final
2020-12-13 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-12-13_final
2021-01-11 11:04:56	ga_s2am_ard_3-2-1_52JCR_2021-01-11_final
2021-01-25 10:45:47	ga_s2am_ard_3-2-1_52JGM_2021-01-25_final
2021-02-12 11:41:31	ga_s2am_ard_3-2-1_51LUE_2021-02-12_final
2021-02-12 11:43:46	ga_s2am_ard_3-2-1_50KRA_2021-02-12_final
2021-02-16 11:23:42	ga_s2am_ard_3-2-1_51KXR_2021-02-16_final
2021-03-21 11:33:39	ga_s2am_ard_3-2-1_51KVR_2021-03-21_final
2021-04-10 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2021-04-10_final
2021-05-17 11:23:28	ga_s2am_ard_3-2-1_51KXS_2021-05-17_final
2021-05-23 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-05-23_final
2021-07-12 11:45:17	ga_s2am_ard_3-2-1_51JTK_2021-07-12_final
2021-07-29 11:33:16	ga_s2am_ard_3-2-1_51KWT_2021-07-29_final
2021-08-04 11:53:06	ga_s2am_ard_3-2-1_50KQD_2021-08-04_final.stac-item
2021-08-08 11:33:48	ga_s2am_ard_3-2-1_51KVR_2021-08-08_final
2021-10-26 12:04:51	ga_s2am_ard_3-2-1_49JGN_2021-10-26_final
2021-11-20 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-11-20_final
2021-12-21 10:45:48	ga_s2am_ard_3-2-1_52JGM_2021-12-21_final
2021-12-30 11:12:55	ga_s2am_ard_3-2-1_52KFC_2021-12-30_final
2022-01-05 11:32:16	ga_s2am_ard_3-2-1_51KWB_2022-01-05_final
2022-03-04 10:55:20	ga_s2am_ard_3-2-1_52JFP_2022-03-04_final
2022-04-05 11:33:46	ga_s2am_ard_3-2-1_51KVR_2022-04-05_final
2022-06-21 11:23:18	ga_s2am_ard_3-2-1_52KBC_2022-06-21_final
2022-06-24 11:33:43	ga_s2am_ard_3-2-1_51KVS_2022-06-24_final
2022-07-15 11:06:36	ga_s2am_ard_3-2-1_52HBK_2022-07-15_final
2022-10-06 11:15:36	ga_s2am_ard_3-2-1_51JXJ_2022-10-06_final.stac-item
2022-11-11 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2022-11-11_final.stac-item
2022-11-18 11:24:16	ga_s2am_ard_3-2-1_51KWP_2022-11-18_final.stac-item
2022-12-08 11:23:29	ga_s2am_ard_3-2-1_51KXS_2022-12-08_final.stac-item
2023-01-03 11:41:32	ga_s2am_ard_3-2-1_51LUE_2023-01-03_final.stac-item
2023-01-31 11:01:00	ga_s2am_ard_3-2-1_52LGL_2023-01-31_final.stac-item
2023-02-19 11:32:08	ga_s2am_ard_3-2-1_51KXB_2023-02-19_final.stac-item
2023-04-10 11:31:35	ga_s2am_ard_3-2-1_51LZD_2023-04-10_final.stac-item
2023-04-30 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2023-04-30_final.stac-item
2023-05-04 11:13:19	ga_s2am_ard_3-2-1_52KDB_2023-05-04_final.stac-item
2023-05-27 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-05-27_final.stac-item
2023-06-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-06-18_final.stac-item
2023-08-01 11:43:24	ga_s2am_ard_3-2-1_50KRC_2023-08-01_final.stac-item
2023-08-18 11:33:51	ga_s2am_ard_3-2-1_51KVR_2023-08-18_final.stac-item
2023-11-16 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-11-16_final.stac-item
2023-11-26 11:33:25	ga_s2am_ard_3-2-1_51KVS_2023-11-26_final.stac-item
2023-12-26 11:32:55	ga_s2am_ard_3-2-1_51KWU_2023-12-26_final.stac-item
2023-12-26 11:33:24	ga_s2am_ard_3-2-1_51KWS_2023-12-26_final.stac-item
2024-01-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2024-01-04_final.stac-item
2024-01-08 11:43:25	ga_s2am_ard_3-2-1_51KUS_2024-01-08_final.stac-item
2024-01-09 11:10:28	ga_s2am_ard_3-2-1_52LFN_2024-01-09_final.stac-item
2024-01-29 11:11:25	ga_s2am_ard_3-2-1_52LFJ_2024-01-29_final.stac-item
2024-01-30 10:45:42	ga_s2am_ard_3-2-1_52JGM_2024-01-30_final.stac-item
2024-03-17 12:13:58	ga_s2am_ard_3-2-1_49KGR_2024-03-17_final.stac-item
2024-03-26 11:01:18	ga_s2am_ard_3-2-1_52LGK_2024-03-26_final.stac-item
2024-03-27 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2024-03-27_final.stac-item
2024-03-29 11:13:54	ga_s2am_ard_3-2-1_52KBV_2024-03-29_final.stac-item
2024-04-01 11:27:00	ga_s2am_ard_3-2-1_51HUC_2024-04-01_final.stac-item
2024-05-03 12:03:26	ga_s2am_ard_3-2-1_50KMC_2024-05-03_final.stac-item
2024-05-11 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2024-05-11_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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