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_50HPK_2015-11-21_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HXE_2015-11-25_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KXS_2015-12-08_final.stac-item
2016-04-13 11:26:08	ga_s2am_ard_3-2-1_51HUE_2016-04-13_final.stac-item
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2016-04-25_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HXD_2016-04-30_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMM_2016-07-21_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JYK_2016-07-22_final.stac-item
2016-10-07 11:12:10	ga_s2am_ard_3-2-1_51KZS_2016-10-07_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51JVH_2017-01-01_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51HYD_2017-03-06_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HPK_2017-05-31_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JWM_2017-10-05_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52HCK_2017-11-08_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWV_2018-02-15_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2018-04-16_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51LUF_2018-04-29_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KVV_2018-07-25_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUC_2018-08-04_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51KYR_2018-08-21_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUV_2018-10-06_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51KZQ_2018-10-07_final
2018-11-22 11:34:10	ga_s2am_ard_3-2-1_51KUP_2018-11-22_final
2018-12-08 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-08_final
2018-12-15 11:42:55	ga_s2am_ard_3-2-1_51KTU_2018-12-15_final
2019-02-06 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-02-06_final
2019-02-17 11:24:01	ga_s2am_ard_3-2-1_51KZP_2019-02-17_final
2019-04-08 11:22:54	ga_s2am_ard_3-2-1_51KZU_2019-04-08_final
2019-05-14 11:42:46	ga_s2am_ard_3-2-1_51KVV_2019-05-14_final
2019-06-17 11:25:02	ga_s2am_ard_3-2-1_51JWL_2019-06-17_final
2019-07-07 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2019-07-07_final
2019-07-10 11:32:56	ga_s2am_ard_3-2-1_51KYU_2019-07-10_final
2019-07-30 11:34:22	ga_s2am_ard_3-2-1_51KUP_2019-07-30_final
2019-10-12 11:15:55	ga_s2am_ard_3-2-1_52JBM_2019-10-12_final
2019-12-04 11:23:12	ga_s2am_ard_3-2-1_51KXT_2019-12-04_final
2019-12-13 11:53:13	ga_s2am_ard_3-2-1_50KQC_2019-12-13_final
2019-12-13 11:56:21	ga_s2am_ard_3-2-1_50JLL_2019-12-13_final
2020-01-29 11:42:20	ga_s2am_ard_3-2-1_51KVA_2020-01-29_final
2020-02-15 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2020-02-15_final
2020-03-02 11:53:13	ga_s2am_ard_3-2-1_50KQC_2020-03-02_final
2020-04-02 11:24:11	ga_s2am_ard_3-2-1_51KWP_2020-04-02_final
2020-04-28 11:42:44	ga_s2am_ard_3-2-1_51KVV_2020-04-28_final
2020-05-11 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-05-11_final
2020-05-22 11:25:44	ga_s2am_ard_3-2-1_51JXH_2020-05-22_final
2020-06-18 11:14:52	ga_s2am_ard_3-2-1_52JDR_2020-06-18_final
2020-07-24 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-07-24_final
2020-08-07 11:15:13	ga_s2am_ard_3-2-1_52JBQ_2020-08-07_final
2020-09-05 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-09-05_final
2020-09-06 11:14:54	ga_s2am_ard_3-2-1_52JCR_2020-09-06_final
2020-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-11-13_final
2020-12-14 11:41:15	ga_s2am_ard_3-2-1_51LUF_2020-12-14_final
2021-02-21 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-02-21_final
2021-03-11 11:35:04	ga_s2am_ard_3-2-1_51JTL_2021-03-11_final
2021-04-26 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-06-09 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-09_final
2021-07-09 11:34:17	ga_s2am_ard_3-2-1_51KVP_2021-07-09_final
2021-07-12 11:43:03	ga_s2am_ard_3-2-1_51KUU_2021-07-12_final
2021-08-21 11:43:20	ga_s2am_ard_3-2-1_51KTT_2021-08-21_final
2021-09-17 11:31:50	ga_s2am_ard_3-2-1_51LZC_2021-09-17_final
2021-09-21 11:15:39	ga_s2am_ard_3-2-1_52JBN_2021-09-21_final
2021-10-04 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2021-10-04_final
2021-10-16 12:03:43	ga_s2am_ard_3-2-1_50KMB_2021-10-16_final
2021-12-26 11:37:02	ga_s2am_ard_3-2-1_51HTC_2021-12-26_final
2022-01-18 11:42:13	ga_s2am_ard_3-2-1_51KVB_2022-01-18_final
2022-03-09 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-03-09_final
2022-03-30 11:14:40	ga_s2am_ard_3-2-1_51JZM_2022-03-30_final
2022-04-01 11:53:13	ga_s2am_ard_3-2-1_50KRC_2022-04-01_final
2022-05-05 11:32:27	ga_s2am_ard_3-2-1_51KYA_2022-05-05_final
2022-06-14 11:32:30	ga_s2am_ard_3-2-1_51KVB_2022-06-14_final
2022-06-14 11:34:28	ga_s2am_ard_3-2-1_51KUP_2022-06-14_final
2022-08-04 11:06:28	ga_s2am_ard_3-2-1_52HDK_2022-08-04_final.stac-item
2022-08-06 11:47:32	ga_s2am_ard_3-2-1_50HNG_2022-08-06_final.stac-item
2022-08-13 11:32:59	ga_s2am_ard_3-2-1_51KVV_2022-08-13_final
2022-09-08 11:53:36	ga_s2am_ard_3-2-1_50KNC_2022-09-08_final.stac-item
2022-09-12 11:33:58	ga_s2am_ard_3-2-1_51KUR_2022-09-12_final.stac-item
2022-10-15 11:42:50	ga_s2am_ard_3-2-1_51KUV_2022-10-15_final.stac-item
2023-01-04 11:15:21	ga_s2am_ard_3-2-1_52JBP_2023-01-04_final.stac-item
2023-01-20 11:36:57	ga_s2am_ard_3-2-1_50HQH_2023-01-20_final.stac-item
2023-02-01 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-02-01_final.stac-item
2023-02-19 11:32:26	ga_s2am_ard_3-2-1_51KWA_2023-02-19_final.stac-item
2023-05-16 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-05-16_final.stac-item
2023-05-23 11:41:36	ga_s2am_ard_3-2-1_51LUE_2023-05-23_final.stac-item
2023-05-23 11:43:06	ga_s2am_ard_3-2-1_51KTU_2023-05-23_final.stac-item
2023-06-26 11:26:08	ga_s2am_ard_3-2-1_51JUG_2023-06-26_final.stac-item
2023-07-12 11:43:49	ga_s2am_ard_3-2-1_51KUR_2023-07-12_final.stac-item
2023-07-13 11:14:54	ga_s2am_ard_3-2-1_52JCR_2023-07-13_final.stac-item
2023-07-26 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-07-26_final.stac-item
2023-08-01 11:43:38	ga_s2am_ard_3-2-1_51KTS_2023-08-01_final.stac-item
2023-08-21 11:43:50	ga_s2am_ard_3-2-1_51KUR_2023-08-21_final.stac-item
2023-09-27 11:33:36	ga_s2am_ard_3-2-1_51KUS_2023-09-27_final.stac-item
2023-09-30 11:42:15	ga_s2am_ard_3-2-1_51KVB_2023-09-30_final.stac-item
2023-10-27 11:34:14	ga_s2am_ard_3-2-1_51KVP_2023-10-27_final.stac-item
2023-10-27 11:35:59	ga_s2am_ard_3-2-1_51JUG_2023-10-27_final.stac-item
2023-10-27 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-10-27_final.stac-item
2023-10-30 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-10-30_final.stac-item
2023-11-06 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2023-11-06_final.stac-item
2023-11-16 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-11-16_final.stac-item
2024-01-08 11:41:28	ga_s2am_ard_3-2-1_51LUE_2024-01-08_final.stac-item
2024-01-11 11:53:05	ga_s2am_ard_3-2-1_50KRC_2024-01-11_final.stac-item
2024-01-21 11:56:44	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_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