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
2015-08-04 11:12:46	ga_s2am_ard_3-2-1_51KZP_2015-08-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLL_2015-12-04_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGM_2015-12-07_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HUD_2016-05-03_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KTT_2016-07-08_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHQ_2016-09-25_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51HTC_2016-10-23_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50JQL_2017-01-14_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-01-30_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JBP_2017-08-13_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KQG_2018-02-01_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_52JBT_2018-03-04_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50KRD_2018-03-30_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51KZR_2018-05-03_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KYQ_2018-06-02_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKS_2018-06-14_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51JVG_2018-07-05_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51HWD_2018-07-22_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKP_2018-07-24_final
2018-08-14 11:26:20	ga_s2am_ard_3-2-1_51KVU_2018-08-14_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51LWC_2018-08-17_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KWA_2018-08-27_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KTU_2018-09-26_final
2018-11-08 11:54:18	ga_s2am_ard_3-2-1_50KNU_2018-11-08_final
2018-11-22 11:34:07	ga_s2am_ard_3-2-1_51KVP_2018-11-22_final
2018-12-11 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-11_final
2019-01-02 11:06:12	ga_s2am_ard_3-2-1_52HDK_2019-01-02_final.stac-item
2019-01-25 11:13:10	ga_s2am_ard_3-2-1_52KBC_2019-01-25_final
2019-02-19 12:04:39	ga_s2am_ard_3-2-1_49JHN_2019-02-19_final
2019-05-24 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-05-24_final
2019-06-16 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-06-16_final
2019-07-23 11:42:32	ga_s2am_ard_3-2-1_51KVA_2019-07-23_final
2019-10-28 11:32:50	ga_s2am_ard_3-2-1_51KVV_2019-10-28_final
2019-12-30 11:43:13	ga_s2am_ard_3-2-1_51KTT_2019-12-30_final
2020-01-09 11:44:17	ga_s2am_ard_3-2-1_50KPU_2020-01-09_final
2020-01-19 11:43:30	ga_s2am_ard_3-2-1_50KQB_2020-01-19_final
2020-02-08 11:45:13	ga_s2am_ard_3-2-1_50JPQ_2020-02-08_final
2020-02-09 11:14:16	ga_s2am_ard_3-2-1_52JBT_2020-02-09_final
2020-03-10 11:13:10	ga_s2am_ard_3-2-1_52KBC_2020-03-10_final
2020-04-03 10:55:27	ga_s2am_ard_3-2-1_52JFN_2020-04-03_final
2020-04-09 11:16:42	ga_s2am_ard_3-2-1_51HWD_2020-04-09_final
2020-06-12 10:55:34	ga_s2am_ard_3-2-1_52JGN_2020-06-12_final
2020-07-01 11:25:51	ga_s2am_ard_3-2-1_51JVH_2020-07-01_final
2020-07-22 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-07-22_final
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final
2020-08-13 11:34:31	ga_s2am_ard_3-2-1_51JWN_2020-08-13_final
2020-08-20 11:24:18	ga_s2am_ard_3-2-1_51KXP_2020-08-20_final
2020-08-30 11:21:59	ga_s2am_ard_3-2-1_51LZC_2020-08-30_final
2020-09-13 11:06:28	ga_s2am_ard_3-2-1_52HBK_2020-09-13_final
2020-10-11 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-10-11_final
2020-11-04 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-11-04_final
2020-12-05 11:16:39	ga_s2am_ard_3-2-1_51HXD_2020-12-05_final
2021-04-10 11:36:56	ga_s2am_ard_3-2-1_51HTC_2021-04-10_final
2021-04-27 11:24:01	ga_s2am_ard_3-2-1_51KZP_2021-04-27_final
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-05-12_final
2021-06-11 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-06-11_final
2021-07-09 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-07-09_final
2021-07-29 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-07-29_final
2021-09-04 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-09-04_final
2021-09-19 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-09-19_final
2021-10-07 11:34:16	ga_s2am_ard_3-2-1_51KWP_2021-10-07_final
2021-11-18 12:15:20	ga_s2am_ard_3-2-1_49JGK_2021-11-18_final
2021-11-19 11:43:36	ga_s2am_ard_3-2-1_50KQB_2021-11-19_final
2021-11-20 11:16:26	ga_s2am_ard_3-2-1_51HXE_2021-11-20_final
2021-12-09 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2021-12-09_final
2021-12-10 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2021-12-10_final
2021-12-16 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-12-16_final
2021-12-20 11:13:37	ga_s2am_ard_3-2-1_52KCA_2021-12-20_final
2021-12-30 11:14:54	ga_s2am_ard_3-2-1_52JBR_2021-12-30_final
2022-01-08 11:43:23	ga_s2am_ard_3-2-1_50KQC_2022-01-08_final
2022-01-24 12:03:20	ga_s2am_ard_3-2-1_50KNC_2022-01-24_final
2022-02-08 11:16:19	ga_s2am_ard_3-2-1_52HBK_2022-02-08_final
2022-03-23 11:25:19	ga_s2am_ard_3-2-1_51JVK_2022-03-23_final
2022-04-09 11:13:41	ga_s2am_ard_3-2-1_51KZR_2022-04-09_final
2022-04-28 11:44:21	ga_s2am_ard_3-2-1_50KRU_2022-04-28_final
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_50KKA_2022-06-13_final
2022-06-20 11:53:22	ga_s2am_ard_3-2-1_50KRC_2022-06-20_final
2022-07-10 11:57:33	ga_s2am_ard_3-2-1_50HMG_2022-07-10_final.stac-item
2022-08-26 11:41:45	ga_s2am_ard_3-2-1_51LUE_2022-08-26_final
2022-09-11 12:04:53	ga_s2am_ard_3-2-1_50JKT_2022-09-11_final.stac-item
2022-10-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2022-10-11_final.stac-item
2022-11-13 12:14:30	ga_s2am_ard_3-2-1_49KGP_2022-11-13_final.stac-item
2023-01-31 11:04:45	ga_s2am_ard_3-2-1_52JER_2023-01-31_final.stac-item
2023-02-23 11:13:11	ga_s2am_ard_3-2-1_52KBC_2023-02-23_final.stac-item
2023-03-07 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-03-07_final.stac-item
2023-03-24 11:43:10	ga_s2am_ard_3-2-1_51KVT_2023-03-24_final.stac-item
2023-03-28 11:25:18	ga_s2am_ard_3-2-1_51JYJ_2023-03-28_final.stac-item
2023-04-07 11:24:04	ga_s2am_ard_3-2-1_51KZP_2023-04-07_final.stac-item
2023-04-16 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-16_final.stac-item
2023-04-20 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-04-20_final.stac-item
2023-06-29 11:32:33	ga_s2am_ard_3-2-1_51KWA_2023-06-29_final.stac-item
2023-06-29 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-29_final.stac-item
2023-08-19 11:05:28	ga_s2am_ard_3-2-1_52JCP_2023-08-19_final.stac-item
2023-08-28 11:33:00	ga_s2am_ard_3-2-1_51KXU_2023-08-28_final.stac-item
2023-09-30 11:42:15	ga_s2am_ard_3-2-1_51KVB_2023-09-30_final.stac-item
2023-10-10 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-10-10_final.stac-item
2023-11-02 11:53:20	ga_s2am_ard_3-2-1_50KPC_2023-11-02_final.stac-item
2023-12-06 11:36:22	ga_s2am_ard_3-2-1_51HUE_2023-12-06_final.stac-item
2024-01-12 11:22:46	ga_s2am_ard_3-2-1_52KBD_2024-01-12_final.stac-item
2024-02-04 11:32:10	ga_s2am_ard_3-2-1_51KWB_2024-02-04_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

All years