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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KCD_2016-01-24_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JUF_2016-05-23_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JNM_2016-07-08_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEC_2016-07-29_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JGS_2016-09-01_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KFA_2016-12-23_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_52KCG_2016-12-29_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KYS_2017-01-18_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JML_2017-04-07_final.stac-item
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KVB_2017-04-14_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKQ_2017-08-28_final
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KFC_2017-11-08_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JDL_2017-11-08_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HQH_2018-03-07_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51KZR_2018-04-20_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXQ_2018-04-26_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLK_2018-10-19_final
2018-11-12 11:36:41	ga_s2am_ard_3-2-1_51HTD_2018-11-12_final
2018-12-12 11:33:19	ga_s2am_ard_3-2-1_51KWS_2018-12-12_final
2019-01-14 11:42:05	ga_s2am_ard_3-2-1_51KWB_2019-01-14_final
2019-01-31 11:33:13	ga_s2am_ard_3-2-1_51KVT_2019-01-31_final
2019-02-07 11:23:10	ga_s2am_ard_3-2-1_51KXT_2019-02-07_final
2019-04-15 11:14:52	ga_s2am_ard_3-2-1_52JCR_2019-04-15_final
2019-06-12 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-06-12_final
2019-06-23 11:47:06	ga_s2am_ard_3-2-1_50HPH_2019-06-23_final
2019-07-28 10:55:47	ga_s2am_ard_3-2-1_52JGM_2019-07-28_final
2019-09-11 11:47:12	ga_s2am_ard_3-2-1_50HLH_2019-09-11_final
2019-11-03 11:56:17	ga_s2am_ard_3-2-1_50JKM_2019-11-03_final
2020-01-06 11:34:12	ga_s2am_ard_3-2-1_51KUP_2020-01-06_final
2020-02-05 11:31:52	ga_s2am_ard_3-2-1_51LWC_2020-02-05_final
2020-03-29 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2020-03-29_final
2020-04-19 11:15:22	ga_s2am_ard_3-2-1_52JBP_2020-04-19_final
2020-05-19 11:13:29	ga_s2am_ard_3-2-1_52KCB_2020-05-19_final
2020-07-21 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-07-21_final
2020-08-30 11:23:40	ga_s2am_ard_3-2-1_52KBA_2020-08-30_final
2020-09-09 11:25:42	ga_s2am_ard_3-2-1_51JXH_2020-09-09_final
2020-11-08 11:24:09	ga_s2am_ard_3-2-1_51KZP_2020-11-08_final
2020-11-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-11-30_final
2021-01-04 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-01-04_final
2021-02-02 11:44:20	ga_s2am_ard_3-2-1_50KQU_2021-02-02_final
2021-03-04 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-03-04_final
2021-03-05 11:13:22	ga_s2am_ard_3-2-1_52KCB_2021-03-05_final
2021-03-05 11:14:09	ga_s2am_ard_3-2-1_51KZP_2021-03-05_final
2021-03-11 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-03-11_final
2021-04-09 12:04:23	ga_s2am_ard_3-2-1_50KKU_2021-04-09_final
2021-04-20 11:36:33	ga_s2am_ard_3-2-1_50HPK_2021-04-20_final
2021-04-23 11:42:23	ga_s2am_ard_3-2-1_51KVA_2021-04-23_final
2021-04-30 11:33:57	ga_s2am_ard_3-2-1_51KVQ_2021-04-30_final
2021-05-06 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-05-06_final
2021-06-15 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-06-15_final
2021-07-12 11:45:53	ga_s2am_ard_3-2-1_50JPN_2021-07-12_final
2021-07-18 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-07-18_final
2021-07-20 11:05:41	ga_s2am_ard_3-2-1_52JCN_2021-07-20_final
2021-09-25 10:55:02	ga_s2am_ard_3-2-1_52JGQ_2021-09-25_final
2021-09-26 12:05:59	ga_s2am_ard_3-2-1_50JKN_2021-09-26_final
2021-10-07 11:36:51	ga_s2am_ard_3-2-1_51HTD_2021-10-07_final
2021-10-27 11:36:39	ga_s2am_ard_3-2-1_50HQK_2021-10-27_final
2021-11-14 10:55:47	ga_s2am_ard_3-2-1_52JFM_2021-11-14_final
2021-12-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-12-06_final
2022-01-29 11:11:59	ga_s2am_ard_3-2-1_52KFG_2022-01-29_final
2022-03-12 11:54:09	ga_s2am_ard_3-2-1_50KPV_2022-03-12_final
2022-03-25 12:05:54	ga_s2am_ard_3-2-1_50JLN_2022-03-25_final
2022-03-29 11:45:46	ga_s2am_ard_3-2-1_51JTH_2022-03-29_final
2022-03-30 11:15:24	ga_s2am_ard_3-2-1_52JBP_2022-03-30_final
2022-04-22 11:23:11	ga_s2am_ard_3-2-1_51KZT_2022-04-22_final
2022-04-28 11:43:37	ga_s2am_ard_3-2-1_51KTS_2022-04-28_final
2022-05-09 11:13:48	ga_s2am_ard_3-2-1_52KEV_2022-05-09_final
2022-05-11 11:55:13	ga_s2am_ard_3-2-1_50JMR_2022-05-11_final
2022-05-14 12:05:45	ga_s2am_ard_3-2-1_50JKP_2022-05-14_final
2022-06-11 11:26:39	ga_s2am_ard_3-2-1_51HVE_2022-06-11_final
2022-06-17 11:45:04	ga_s2am_ard_3-2-1_50JPS_2022-06-17_final
2022-08-09 11:56:34	ga_s2am_ard_3-2-1_50JML_2022-08-09_final
2022-09-05 11:47:18	ga_s2am_ard_3-2-1_50HNH_2022-09-05_final.stac-item
2022-09-09 11:25:47	ga_s2am_ard_3-2-1_51JXH_2022-09-09_final.stac-item
2022-09-26 11:16:09	ga_s2am_ard_3-2-1_52JCL_2022-09-26_final.stac-item
2022-10-05 11:46:33	ga_s2am_ard_3-2-1_50JML_2022-10-05_final.stac-item
2022-10-12 11:35:13	ga_s2am_ard_3-2-1_51JWK_2022-10-12_final.stac-item
2022-12-04 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2022-12-04_final.stac-item
2022-12-07 11:53:25	ga_s2am_ard_3-2-1_50KNC_2022-12-07_final.stac-item
2023-01-01 11:02:25	ga_s2am_ard_3-2-1_52KHE_2023-01-01_final.stac-item
2023-01-04 12:50:58	ga_s2am_ard_3-2-1_48LXP_2023-01-04_interim.stac-item
2023-01-17 11:25:34	ga_s2am_ard_3-2-1_51JXH_2023-01-17_final.stac-item
2023-02-15 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-15_final.stac-item
2023-02-19 11:32:19	ga_s2am_ard_3-2-1_51KYA_2023-02-19_final.stac-item
2023-03-19 10:54:19	ga_s2am_ard_3-2-1_52JFT_2023-03-19_final.stac-item
2023-03-21 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-03-21_final.stac-item
2023-04-14 11:14:35	ga_s2am_ard_3-2-1_52JCS_2023-04-14_final.stac-item
2023-05-08 10:54:47	ga_s2am_ard_3-2-1_52JFR_2023-05-08_final.stac-item
2023-06-03 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2023-06-03_final.stac-item
2023-07-09 11:33:27	ga_s2am_ard_3-2-1_51KUT_2023-07-09_final.stac-item
2023-07-19 11:36:22	ga_s2am_ard_3-2-1_51JUF_2023-07-19_final.stac-item
2023-08-16 10:54:35	ga_s2am_ard_3-2-1_52JGS_2023-08-16_final.stac-item
2023-09-06 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2023-09-06_final.stac-item
2023-09-30 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-09-30_final.stac-item
2023-11-15 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-11-15_final.stac-item
2024-01-12 11:23:56	ga_s2am_ard_3-2-1_51KWQ_2024-01-12_final.stac-item
2024-01-15 11:34:47	ga_s2am_ard_3-2-1_51JWL_2024-01-15_final.stac-item
2024-03-23 10:53:15	ga_s2am_ard_3-2-1_52KHB_2024-03-23_final.stac-item
2024-03-25 11:31:07	ga_s2am_ard_3-2-1_51LZF_2024-03-25_final.stac-item
2024-03-28 11:41:59	ga_s2am_ard_3-2-1_51LVC_2024-03-28_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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