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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLN_2015-12-04_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KVU_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMH_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMJ_2015-12-21_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-03-06_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNQ_2016-04-29_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HWE_2016-04-30_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JWF_2016-04-30_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPK_2016-05-16_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KWP_2016-05-23_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVV_2016-06-05_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_50KKA_2016-07-07_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLN_2016-07-21_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLH_2017-01-14_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KVU_2017-05-31_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGM_2017-07-12_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KVT_2017-08-19_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JWJ_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JWN_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KUS_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KVT_2017-09-28_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_50JQL_2017-10-28_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KTU_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMH_2018-01-12_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HLH_2018-01-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KVT_2018-02-25_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HPH_2018-05-09_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGK_2018-05-25_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JKN_2018-06-11_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KWQ_2018-06-15_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-06-17_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KTU_2018-06-28_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPG_2018-08-17_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPG_2018-08-27_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KVT_2018-09-26_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMG_2018-10-06_final.stac-item
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JUF_2018-10-10_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KVS_2018-10-23_final
2018-11-12 11:33:40	ga_s2am_ard_3-2-1_51KVR_2018-11-12_final
2018-12-02 11:32:53	ga_s2am_ard_3-2-1_51KVU_2018-12-02_final
2018-12-12 11:32:53	ga_s2am_ard_3-2-1_51KVU_2018-12-12_final
2019-01-04 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-01-04_final
2019-02-13 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-02-13_final
2019-02-23 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-02-23_final
2019-04-10 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final.stac-item
2019-10-01 11:42:18	ga_s2am_ard_3-2-1_51KUB_2019-10-01_final.stac-item
2019-10-11 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-10-11_final
2019-12-07 11:33:28	ga_s2am_ard_3-2-1_51KVS_2019-12-07_final
2019-12-27 11:33:51	ga_s2am_ard_3-2-1_51KWQ_2019-12-27_final
2020-02-01 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-01_final
2020-02-15 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2020-02-15_final
2020-03-29 11:42:38	ga_s2am_ard_3-2-1_51KVV_2020-03-29_final
2020-05-05 11:33:09	ga_s2am_ard_3-2-1_51KVU_2020-05-05_final
2020-06-24 11:33:11	ga_s2am_ard_3-2-1_51KVU_2020-06-24_final
2020-06-24 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-06-24_final
2020-07-07 11:42:32	ga_s2am_ard_3-2-1_51KVA_2020-07-07_final
2020-08-13 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-08-13_final
2020-09-08 11:53:15	ga_s2am_ard_3-2-1_50KRC_2020-09-08_final
2020-11-15 11:17:02	ga_s2am_ard_3-2-1_51HWC_2020-11-15_final.stac-item
2020-12-01 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2020-12-01_final
2020-12-04 11:42:59	ga_s2am_ard_3-2-1_51KUU_2020-12-04_final
2020-12-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-17_final
2021-01-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-06_final
2021-01-09 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-01-09_final
2021-01-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-01-16_final
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final
2021-05-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-05-26_final
2021-07-02 11:43:31	ga_s2am_ard_3-2-1_51KUS_2021-07-02_final
2021-07-12 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-07-12_final.stac-item
2021-07-22 11:42:49	ga_s2am_ard_3-2-1_51KUV_2021-07-22_final
2021-09-07 11:36:24	ga_s2am_ard_3-2-1_51HVE_2021-09-07_final
2021-09-30 11:43:22	ga_s2am_ard_3-2-1_51KTT_2021-09-30_final
2021-11-19 11:42:17	ga_s2am_ard_3-2-1_51KUB_2021-11-19_final.stac-item
2021-11-19 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-11-19_final
2021-12-16 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-12-16_final
2021-12-28 12:14:09	ga_s2am_ard_3-2-1_50KKV_2021-12-28_final
2022-05-05 11:33:50	ga_s2am_ard_3-2-1_51KVR_2022-05-05_final
2022-07-07 11:43:22	ga_s2am_ard_3-2-1_51KTT_2022-07-07_final
2022-07-14 11:33:49	ga_s2am_ard_3-2-1_51KVS_2022-07-14_final
2022-07-14 11:33:58	ga_s2am_ard_3-2-1_51KVR_2022-07-14_final
2022-07-24 11:33:56	ga_s2am_ard_3-2-1_51KVR_2022-07-24_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-08-05_final.stac-item
2022-08-16 11:43:42	ga_s2am_ard_3-2-1_51KUS_2022-08-16_final
2022-08-23 11:33:58	ga_s2am_ard_3-2-1_51KVR_2022-08-23_final
2022-09-26 11:17:06	ga_s2am_ard_3-2-1_51HWC_2022-09-26_final.stac-item
2022-12-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-12-04_final.stac-item
2022-12-04 11:43:15	ga_s2am_ard_3-2-1_51KUT_2022-12-04_final.stac-item
2022-12-04 11:43:29	ga_s2am_ard_3-2-1_51KUS_2022-12-04_final.stac-item
2022-12-31 11:33:33	ga_s2am_ard_3-2-1_51KUS_2022-12-31_final.stac-item
2023-01-20 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2023-01-20_final.stac-item
2023-03-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-31_final.stac-item
2023-04-30 11:34:11	ga_s2am_ard_3-2-1_51KWP_2023-04-30_final.stac-item
2023-06-11 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-11_final.stac-item
2023-08-08 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-08-08_final.stac-item
2023-08-28 11:32:25	ga_s2am_ard_3-2-1_51KVB_2023-08-28_final.stac-item
2023-08-31 11:43:34	ga_s2am_ard_3-2-1_51KUS_2023-08-31_final.stac-item
2023-12-06 11:34:04	ga_s2am_ard_3-2-1_51KWP_2023-12-06_final.stac-item
2024-02-23 12:05:53	ga_s2am_ard_3-2-1_50JKN_2024-02-23_final.stac-item
2024-03-14 12:03:59	ga_s2am_ard_3-2-1_49KHR_2024-03-14_final.stac-item
2024-04-10 11:53:17	ga_s2am_ard_3-2-1_50KQC_2024-04-10_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