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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_51HUE_2015-09-09_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNJ_2015-11-21_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JVJ_2016-01-24_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JTM_2016-02-06_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JTK_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KUT_2016-03-07_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KZA_2016-03-24_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50HQK_2016-04-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPR_2016-04-19_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HYD_2016-04-30_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JWL_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KXQ_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNM_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JPT_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHS_2016-05-15_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_50KKA_2016-05-25_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JXF_2016-05-30_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51JVF_2016-10-13_final.stac-item
2016-12-02 11:36:01	ga_s2am_ard_3-2-1_51JUF_2016-12-02_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51LWG_2017-01-14_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51HVE_2017-04-08_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51JUF_2017-05-08_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51JVF_2017-05-08_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-10-10_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMH_2018-02-18_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51KUB_2018-03-30_final.stac-item
2018-05-26 11:27:41	ga_s2am_ard_3-2-1_51LXD_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51LXD_2018-05-26_final
2018-12-25 11:47:02	ga_s2am_ard_3-2-1_50HMH_2018-12-25_final
2019-02-06 11:56:27	ga_s2am_ard_3-2-1_50HNK_2019-02-06_final
2019-03-02 11:36:18	ga_s2am_ard_3-2-1_51HVE_2019-03-02_final
2019-03-31 12:03:44	ga_s2am_ard_3-2-1_50KKB_2019-03-31_final
2019-04-08 11:26:12	ga_s2am_ard_3-2-1_51JWF_2019-04-08_final
2019-08-22 11:40:59	ga_s2am_ard_3-2-1_51LWG_2019-08-22_final.stac-item
2019-10-21 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-21_final
2019-12-10 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-12-10_final
2019-12-17 11:36:05	ga_s2am_ard_3-2-1_51JVF_2019-12-17_final
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-02-15 11:36:04	ga_s2am_ard_3-2-1_51JVF_2020-02-15_final
2020-02-21 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-02-21_final
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final
2020-03-29 11:41:29	ga_s2am_ard_3-2-1_51LUE_2020-03-29_final
2020-04-05 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-04-05_final
2020-05-25 11:31:48	ga_s2am_ard_3-2-1_51LXD_2020-05-25_final
2020-05-25 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-05-25_final
2020-06-01 11:23:31	ga_s2am_ard_3-2-1_51KYS_2020-06-01_final
2020-06-04 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-06-04_final
2020-06-21 11:23:31	ga_s2am_ard_3-2-1_51KYS_2020-06-21_final
2020-06-24 11:33:08	ga_s2am_ard_3-2-1_51KXT_2020-06-24_final
2020-06-24 11:33:09	ga_s2am_ard_3-2-1_51KWU_2020-06-24_final
2020-06-24 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-06-24_final
2020-07-11 11:23:25	ga_s2am_ard_3-2-1_51KZS_2020-07-11_final
2020-07-24 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-07-24_final
2020-07-28 11:13:34	ga_s2am_ard_3-2-1_51KZS_2020-07-28_final
2020-09-09 11:26:15	ga_s2am_ard_3-2-1_51JWF_2020-09-09_final
2020-09-09 11:26:18	ga_s2am_ard_3-2-1_51JVF_2020-09-09_final
2020-09-22 11:36:28	ga_s2am_ard_3-2-1_51HVE_2020-09-22_final
2020-10-02 11:36:20	ga_s2am_ard_3-2-1_51JUF_2020-10-02_final
2020-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-11-07_final
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-09-04 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-09-04_final
2021-09-17 11:35:47	ga_s2am_ard_3-2-1_51JUH_2021-09-17_final
2021-09-17 11:36:01	ga_s2am_ard_3-2-1_51JUG_2021-09-17_final
2021-09-20 11:45:59	ga_s2am_ard_3-2-1_51JTG_2021-09-20_final
2021-09-20 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2021-09-20_final
2021-10-03 11:56:04	ga_s2am_ard_3-2-1_50JKN_2021-10-03_final
2021-11-18 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-11-18_final
2021-12-09 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-12-09_final
2021-12-12 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-12-12_final
2021-12-29 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-12-29_final
2022-03-19 11:41:22	ga_s2am_ard_3-2-1_51LUF_2022-03-19_final
2022-04-02 11:25:55	ga_s2am_ard_3-2-1_51JXG_2022-04-02_final
2022-05-22 11:23:13	ga_s2am_ard_3-2-1_51KZT_2022-05-22_final
2022-07-11 11:23:48	ga_s2am_ard_3-2-1_51KZR_2022-07-11_final
2022-07-14 11:33:14	ga_s2am_ard_3-2-1_51KYT_2022-07-14_final
2022-09-11 12:05:19	ga_s2am_ard_3-2-1_50JLR_2022-09-11_final.stac-item
2022-09-15 11:45:39	ga_s2am_ard_3-2-1_51JTJ_2022-09-15_final.stac-item
2022-09-19 11:22:46	ga_s2am_ard_3-2-1_51KZV_2022-09-19_final.stac-item
2022-09-28 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-09-28_final.stac-item
2022-09-29 11:26:42	ga_s2am_ard_3-2-1_51HXD_2022-09-29_final.stac-item
2022-10-09 11:26:13	ga_s2am_ard_3-2-1_51JXF_2022-10-09_final.stac-item
2022-11-15 11:16:25	ga_s2am_ard_3-2-1_51HYE_2022-11-15_final.stac-item
2023-01-26 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-01-26_final.stac-item
2023-02-22 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-22_final.stac-item
2023-03-01 11:36:21	ga_s2am_ard_3-2-1_51HVE_2023-03-01_final.stac-item
2023-04-03 11:45:28	ga_s2am_ard_3-2-1_51JTJ_2023-04-03_final.stac-item
2023-04-07 11:25:34	ga_s2am_ard_3-2-1_51JYH_2023-04-07_final.stac-item
2023-04-09 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-04-09_final.stac-item
2023-04-30 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-04-30_final.stac-item
2023-05-30 11:31:39	ga_s2am_ard_3-2-1_51LZD_2023-05-30_final.stac-item
2023-06-19 11:36:50	ga_s2am_ard_3-2-1_51HTD_2023-06-19_final.stac-item
2023-09-07 11:36:39	ga_s2am_ard_3-2-1_50HQK_2023-09-07_final.stac-item
2023-09-10 11:46:39	ga_s2am_ard_3-2-1_50HPK_2023-09-10_final.stac-item
2023-09-10 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-09-10_final.stac-item
2023-09-14 11:25:38	ga_s2am_ard_3-2-1_51JYH_2023-09-14_final.stac-item
2023-09-20 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-20_final.stac-item
2023-10-04 11:26:16	ga_s2am_ard_3-2-1_51JVF_2023-10-04_final.stac-item
2023-10-04 11:26:31	ga_s2am_ard_3-2-1_51HVE_2023-10-04_final.stac-item
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_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