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
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGL_2016-01-09_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KVV_2016-01-20_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HPK_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KYR_2016-05-03_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51JUF_2016-05-26_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLA_2016-06-04_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JBM_2016-06-06_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HTC_2016-08-04_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HUD_2016-09-13_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPH_2016-10-03_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HUC_2016-10-03_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KLC_2016-12-21_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JKN_2017-01-07_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTP_2017-01-14_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JVK_2017-01-18_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KXA_2017-04-21_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JMM_2017-05-04_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKM_2017-06-19_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KWA_2017-11-20_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51KZP_2017-12-11_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JKQ_2018-01-15_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KYB_2018-01-26_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51LZE_2018-02-15_final
2018-02-18 11:37:49	ga_s2am_ard_3-2-1_51KVB_2018-02-18_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKM_2018-02-24_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51KZS_2018-03-11_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KVQ_2018-04-06_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KWP_2018-04-23_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KWA_2018-04-29_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JET_2018-06-06_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYL_2018-06-19_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51HYE_2018-06-29_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JUJ_2018-08-04_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGK_2018-09-02_final
2019-01-28 11:21:56	ga_s2am_ard_3-2-1_51LYC_2019-01-28_final
2019-04-15 11:14:37	ga_s2am_ard_3-2-1_52JCS_2019-04-15_final
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final
2019-08-30 11:06:04	ga_s2am_ard_3-2-1_52JDL_2019-08-30_final
2019-12-08 11:06:00	ga_s2am_ard_3-2-1_52JDL_2019-12-08_final
2020-01-06 11:32:45	ga_s2am_ard_3-2-1_51KYU_2020-01-06_final
2020-01-06 11:34:00	ga_s2am_ard_3-2-1_51KXP_2020-01-06_final
2020-02-05 11:31:48	ga_s2am_ard_3-2-1_51LXC_2020-02-05_final
2020-02-11 11:55:14	ga_s2am_ard_3-2-1_50JNQ_2020-02-11_final
2020-03-03 11:22:22	ga_s2am_ard_3-2-1_51KYA_2020-03-03_final
2020-05-18 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-18_final
2020-05-24 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-05-24_final
2020-05-25 11:33:54	ga_s2am_ard_3-2-1_51KUR_2020-05-25_final
2020-07-17 11:45:04	ga_s2am_ard_3-2-1_51JTL_2020-07-17_final
2020-10-16 11:16:50	ga_s2am_ard_3-2-1_51HWD_2020-10-16_final
2020-11-25 11:14:25	ga_s2am_ard_3-2-1_51JZN_2020-11-25_final
2020-12-11 11:32:18	ga_s2am_ard_3-2-1_51KYA_2020-12-11_final
2020-12-11 11:35:00	ga_s2am_ard_3-2-1_51JTL_2020-12-11_final
2020-12-12 11:04:29	ga_s2am_ard_3-2-1_52JES_2020-12-12_final
2020-12-21 11:34:04	ga_s2am_ard_3-2-1_51KXP_2020-12-21_final
2021-01-24 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-01-24_final
2021-01-30 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-01-30_final
2021-02-06 11:24:32	ga_s2am_ard_3-2-1_52JBS_2021-02-06_final
2021-03-08 11:26:29	ga_s2am_ard_3-2-1_51HVE_2021-03-08_final
2021-04-13 11:44:11	ga_s2am_ard_3-2-1_50KRU_2021-04-13_final
2021-04-13 11:46:48	ga_s2am_ard_3-2-1_50HQH_2021-04-13_final
2021-04-14 11:15:37	ga_s2am_ard_3-2-1_51JXH_2021-04-14_final
2021-05-29 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-05-29_final
2021-06-23 11:15:43	ga_s2am_ard_3-2-1_51JXH_2021-06-23_final
2021-07-27 10:56:00	ga_s2am_ard_3-2-1_52JGL_2021-07-27_final
2021-10-15 10:56:05	ga_s2am_ard_3-2-1_52JFL_2021-10-15_final
2021-11-14 10:55:58	ga_s2am_ard_3-2-1_52JGL_2021-11-14_final
2021-11-16 11:36:22	ga_s2am_ard_3-2-1_51HUE_2021-11-16_final
2021-12-06 11:33:37	ga_s2am_ard_3-2-1_51KXR_2021-12-06_final
2022-02-04 11:36:57	ga_s2am_ard_3-2-1_51HUC_2022-02-04_final
2022-02-21 11:23:02	ga_s2am_ard_3-2-1_51KXU_2022-02-21_final
2022-03-22 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-03-22_final
2022-06-01 11:25:28	ga_s2am_ard_3-2-1_51JYJ_2022-06-01_final
2022-06-01 11:26:22	ga_s2am_ard_3-2-1_51JVF_2022-06-01_final
2022-06-18 11:14:57	ga_s2am_ard_3-2-1_52JDR_2022-06-18_final
2022-07-21 11:26:08	ga_s2am_ard_3-2-1_51JWG_2022-07-21_final
2022-09-22 11:33:16	ga_s2am_ard_3-2-1_51KXT_2022-09-22_final.stac-item
2022-09-26 12:51:08	ga_s2am_ard_3-2-1_48LWP_2022-09-26_final.stac-item
2022-11-09 10:56:08	ga_s2am_ard_3-2-1_52JEL_2022-11-09_final.stac-item
2022-11-14 13:21:47	ga_s2am_ard_3-2-1_47LKG_2022-11-14_interim.stac-item
2022-11-18 11:23:02	ga_s2am_ard_3-2-1_51KXU_2022-11-18_final.stac-item
2022-11-28 11:26:43	ga_s2am_ard_3-2-1_51HVD_2022-11-28_final.stac-item
2022-12-20 12:03:32	ga_s2am_ard_3-2-1_50KNB_2022-12-20_final.stac-item
2022-12-22 11:04:41	ga_s2am_ard_3-2-1_52JFR_2022-12-22_final.stac-item
2023-01-10 11:32:24	ga_s2am_ard_3-2-1_51KXA_2023-01-10_final.stac-item
2023-01-27 11:26:41	ga_s2am_ard_3-2-1_51HVD_2023-01-27_final.stac-item
2023-01-30 11:32:48	ga_s2am_ard_3-2-1_51KYU_2023-01-30_final.stac-item
2023-03-24 11:45:13	ga_s2am_ard_3-2-1_51JTK_2023-03-24_final.stac-item
2023-03-25 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2023-03-25_nrt.stac-item
2023-05-10 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2023-05-10_final.stac-item
2023-06-19 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-06-19_final.stac-item
2023-06-20 11:04:36	ga_s2am_ard_3-2-1_52JES_2023-06-20_final.stac-item
2023-06-26 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2023-06-26_final.stac-item
2023-06-29 11:32:01	ga_s2am_ard_3-2-1_51LXC_2023-06-29_final.stac-item
2023-09-07 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-09-07_final.stac-item
2023-09-30 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-09-30_final.stac-item
2024-01-02 11:25:54	ga_s2am_ard_3-2-1_51JWG_2024-01-02_final.stac-item
2024-02-08 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2024-02-08_final.stac-item
2024-02-28 11:16:22	ga_s2am_ard_3-2-1_51HYE_2024-02-28_final.stac-item
2024-03-18 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2024-03-18_final.stac-item
2024-03-22 11:22:57	ga_s2am_ard_3-2-1_51KYU_2024-03-22_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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