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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_51KUU_2015-11-21_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KXP_2016-01-24_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KVU_2016-06-18_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKM_2016-07-21_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXQ_2016-07-22_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50JPT_2016-10-29_final.stac-item
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVU_2017-02-13_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KWR_2017-04-21_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KUS_2017-05-24_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50KQC_2018-02-08_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HTC_2018-04-16_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KUU_2018-04-29_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KXQ_2018-06-15_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KXP_2018-07-15_final
2018-07-22 11:17:00	ga_s2am_ard_3-2-1_51KXR_2018-07-22_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_51KUS_2018-09-06_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KQC_2018-10-09_final
2018-11-12 11:33:29	ga_s2am_ard_3-2-1_51KUS_2018-11-12_final
2018-11-12 11:37:01	ga_s2am_ard_3-2-1_50HPH_2018-11-12_final
2018-12-29 11:23:07	ga_s2am_ard_3-2-1_51KXT_2018-12-29_final
2019-01-21 11:33:24	ga_s2am_ard_3-2-1_51KWS_2019-01-21_final
2019-02-03 11:42:57	ga_s2am_ard_3-2-1_51KUU_2019-02-03_final
2019-02-27 11:26:42	ga_s2am_ard_3-2-1_51HUD_2019-02-27_final
2019-03-06 11:14:03	ga_s2am_ard_3-2-1_51KZP_2019-03-06_final
2019-03-11 12:04:02	ga_s2am_ard_3-2-1_49KHQ_2019-03-11_final.stac-item
2019-03-12 11:33:26	ga_s2am_ard_3-2-1_51KVS_2019-03-12_final
2019-06-23 11:43:22	ga_s2am_ard_3-2-1_51KTT_2019-06-23_final
2019-06-30 11:32:45	ga_s2am_ard_3-2-1_51KXV_2019-06-30_final
2019-09-08 11:32:39	ga_s2am_ard_3-2-1_51KXV_2019-09-08_final
2019-09-28 11:33:46	ga_s2am_ard_3-2-1_51KVR_2019-09-28_final
2019-10-08 11:32:57	ga_s2am_ard_3-2-1_51KXU_2019-10-08_final
2019-12-07 11:34:08	ga_s2am_ard_3-2-1_51KWP_2019-12-07_final
2019-12-13 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-12-13_final
2019-12-29 12:13:49	ga_s2am_ard_3-2-1_50KKA_2019-12-29_final
2020-01-09 11:42:58	ga_s2am_ard_3-2-1_51KTU_2020-01-09_final
2020-02-05 11:34:02	ga_s2am_ard_3-2-1_51KWP_2020-02-05_final
2020-02-18 11:44:21	ga_s2am_ard_3-2-1_51JUN_2020-02-18_final
2020-02-25 11:33:04	ga_s2am_ard_3-2-1_51KXT_2020-02-25_final
2020-06-01 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2020-06-01_final
2020-06-04 11:34:09	ga_s2am_ard_3-2-1_51KUQ_2020-06-04_final
2020-06-04 11:34:17	ga_s2am_ard_3-2-1_51KWP_2020-06-04_final
2020-06-07 11:43:50	ga_s2am_ard_3-2-1_51KUR_2020-06-07_final
2020-07-21 11:25:44	ga_s2am_ard_3-2-1_51JXH_2020-07-21_final
2020-08-15 12:14:02	ga_s2am_ard_3-2-1_50KKA_2020-08-15_final
2020-08-25 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-25_final
2020-08-29 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-08-29_final
2020-09-25 11:43:23	ga_s2am_ard_3-2-1_51KTT_2020-09-25_final
2020-10-16 11:14:35	ga_s2am_ard_3-2-1_51JYN_2020-10-16_final
2020-11-08 11:24:09	ga_s2am_ard_3-2-1_51KZP_2020-11-08_final
2020-11-11 11:33:42	ga_s2am_ard_3-2-1_51KXR_2020-11-11_final
2020-11-11 11:34:21	ga_s2am_ard_3-2-1_51KUP_2020-11-11_final
2020-12-01 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2020-12-01_final
2020-12-11 11:34:32	ga_s2am_ard_3-2-1_51JTN_2020-12-11_final
2020-12-25 11:14:08	ga_s2am_ard_3-2-1_51KZP_2020-12-25_final
2021-04-10 11:33:04	ga_s2am_ard_3-2-1_51KXT_2021-04-10_final
2021-04-30 11:33:20	ga_s2am_ard_3-2-1_51KUT_2021-04-30_final
2021-05-04 11:16:06	ga_s2am_ard_3-2-1_51JYF_2021-05-04_final
2021-05-07 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-05-07_final
2021-06-09 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-06-09_final
2021-08-21 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-08-21_final
2021-09-17 11:33:49	ga_s2am_ard_3-2-1_51KVR_2021-09-17_final
2021-09-27 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-09-27_final
2021-10-20 11:43:20	ga_s2am_ard_3-2-1_51KUT_2021-10-20_final
2021-11-03 11:23:00	ga_s2am_ard_3-2-1_51KYU_2021-11-03_final
2021-11-26 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-11-26_final
2022-02-01 11:26:32	ga_s2am_ard_3-2-1_51HUE_2022-02-01_final
2022-02-21 11:23:41	ga_s2am_ard_3-2-1_51KYR_2022-02-21_final
2022-03-09 11:43:19	ga_s2am_ard_3-2-1_51KUT_2022-03-09_final
2022-04-14 12:04:34	ga_s2am_ard_3-2-1_49KGP_2022-04-14_final
2022-05-05 11:34:15	ga_s2am_ard_3-2-1_51KWP_2022-05-05_final
2022-05-09 11:14:13	ga_s2am_ard_3-2-1_51KZP_2022-05-09_final
2022-05-15 11:32:48	ga_s2am_ard_3-2-1_51KWV_2022-05-15_final
2022-05-29 11:17:06	ga_s2am_ard_3-2-1_51HWC_2022-05-29_final.stac-item
2022-06-17 11:42:28	ga_s2am_ard_3-2-1_51KUB_2022-06-17_final.stac-item
2022-06-27 11:43:31	ga_s2am_ard_3-2-1_50KRC_2022-06-27_final
2022-07-07 11:43:22	ga_s2am_ard_3-2-1_51KTT_2022-07-07_final
2022-07-08 11:14:37	ga_s2am_ard_3-2-1_51JZN_2022-07-08_final
2022-07-11 11:24:28	ga_s2am_ard_3-2-1_51KWP_2022-07-11_final
2022-08-16 11:43:30	ga_s2am_ard_3-2-1_51KTT_2022-08-16_final
2022-09-08 11:55:09	ga_s2am_ard_3-2-1_50JLS_2022-09-08_final.stac-item
2022-09-22 11:34:18	ga_s2am_ard_3-2-1_51KWP_2022-09-22_final.stac-item
2022-10-12 11:35:13	ga_s2am_ard_3-2-1_51JWK_2022-10-12_final.stac-item
2022-10-15 11:43:48	ga_s2am_ard_3-2-1_51KUR_2022-10-15_final.stac-item
2022-12-18 11:25:56	ga_s2am_ard_3-2-1_51JWG_2022-12-18_final.stac-item
2022-12-24 11:43:23	ga_s2am_ard_3-2-1_51KVS_2022-12-24_final.stac-item
2023-03-27 11:53:41	ga_s2am_ard_3-2-1_50KMB_2023-03-27_final.stac-item
2023-03-28 11:23:11	ga_s2am_ard_3-2-1_51KXT_2023-03-28_final.stac-item
2023-03-30 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-03-30_final.stac-item
2023-05-22 12:13:57	ga_s2am_ard_3-2-1_49KHR_2023-05-22_final.stac-item
2023-07-22 11:43:33	ga_s2am_ard_3-2-1_51KUS_2023-07-22_final.stac-item
2023-08-05 11:27:03	ga_s2am_ard_3-2-1_51HVC_2023-08-05_final.stac-item
2023-08-31 11:43:08	ga_s2am_ard_3-2-1_51KTU_2023-08-31_final.stac-item
2023-09-30 11:43:05	ga_s2am_ard_3-2-1_51KTU_2023-09-30_final.stac-item
2023-10-16 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-10-16_final.stac-item
2023-10-27 11:33:23	ga_s2am_ard_3-2-1_51KXS_2023-10-27_final.stac-item
2024-01-28 11:43:10	ga_s2am_ard_3-2-1_51KUT_2024-01-28_final.stac-item
2024-02-04 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2024-02-04_final.stac-item
2024-02-24 11:36:41	ga_s2am_ard_3-2-1_51HUD_2024-02-24_final.stac-item
2024-03-08 11:43:48	ga_s2am_ard_3-2-1_50KRA_2024-03-08_final.stac-item
2024-04-11 11:25:32	ga_s2am_ard_3-2-1_51JVJ_2024-04-11_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

All years