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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JGM_2015-11-27_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51LXD_2016-01-07_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JCN_2016-01-11_final.stac-item
2016-04-28 12:13:47	ga_s2am_ard_3-2-1_49KGR_2016-04-28_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KVB_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVA_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTJ_2016-06-05_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KNB_2016-07-01_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVR_2016-11-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KXB_2016-12-22_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JBL_2016-12-26_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKM_2016-12-31_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLR_2017-02-26_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52JBM_2017-06-14_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQP_2017-08-12_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_50JQL_2017-09-08_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LZC_2017-11-07_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUS_2017-11-20_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JCR_2017-12-11_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_49JGJ_2017-12-16_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_51KZQ_2018-01-10_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVB_2018-02-28_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KXR_2018-03-07_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KUU_2018-03-10_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HYE_2018-03-11_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HYD_2018-03-21_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLN_2018-04-22_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPK_2018-05-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUL_2018-06-05_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JCM_2018-06-06_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JQP_2018-08-04_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_51KWP_2018-09-30_final
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51KXT_2018-10-13_final
2018-11-26 11:16:32	ga_s2am_ard_3-2-1_51HXD_2018-11-26_final
2019-01-17 11:53:49	ga_s2am_ard_3-2-1_50KNA_2019-01-17_final
2019-01-18 11:24:19	ga_s2am_ard_3-2-1_51JYN_2019-01-18_final
2019-01-30 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-30_final
2019-02-04 11:15:54	ga_s2am_ard_3-2-1_51JXG_2019-02-04_final
2019-03-26 11:16:05	ga_s2am_ard_3-2-1_52JBL_2019-03-26_final
2019-04-01 11:31:21	ga_s2am_ard_3-2-1_51LZE_2019-04-01_final
2019-04-04 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-04-04_final
2019-05-01 11:36:27	ga_s2am_ard_3-2-1_51HVE_2019-05-01_final
2019-05-21 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-05-21_final
2019-06-10 11:36:22	ga_s2am_ard_3-2-1_50JQL_2019-06-10_final
2019-06-23 11:46:30	ga_s2am_ard_3-2-1_50JML_2019-06-23_final
2019-06-26 11:55:14	ga_s2am_ard_3-2-1_50JMR_2019-06-26_final
2019-06-30 11:33:08	ga_s2am_ard_3-2-1_51KWT_2019-06-30_final
2019-09-25 11:23:01	ga_s2am_ard_3-2-1_51KXU_2019-09-25_final
2019-10-31 11:46:04	ga_s2am_ard_3-2-1_50JQM_2019-10-31_final
2020-01-03 11:25:19	ga_s2am_ard_3-2-1_51JXJ_2020-01-03_final
2020-01-06 11:36:53	ga_s2am_ard_3-2-1_51HUC_2020-01-06_final
2020-01-09 11:43:16	ga_s2am_ard_3-2-1_50KQC_2020-01-09_final
2020-01-20 11:16:02	ga_s2am_ard_3-2-1_51JYF_2020-01-20_final
2020-01-26 11:32:33	ga_s2am_ard_3-2-1_51KXV_2020-01-26_final
2020-03-03 11:22:37	ga_s2am_ard_3-2-1_51KYV_2020-03-03_final
2020-04-01 11:55:55	ga_s2am_ard_3-2-1_50JKN_2020-04-01_final
2020-05-31 11:56:43	ga_s2am_ard_3-2-1_50HMK_2020-05-31_final
2020-07-17 11:45:41	ga_s2am_ard_3-2-1_50JPP_2020-07-17_final
2020-07-17 11:46:07	ga_s2am_ard_3-2-1_51JTG_2020-07-17_final
2020-12-08 11:23:11	ga_s2am_ard_3-2-1_51KXT_2020-12-08_final
2021-01-24 11:14:24	ga_s2am_ard_3-2-1_52JBT_2021-01-24_final
2021-03-11 11:35:01	ga_s2am_ard_3-2-1_51JUL_2021-03-11_final
2021-05-14 11:16:36	ga_s2am_ard_3-2-1_51HYD_2021-05-14_final
2021-06-03 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-06-03_final
2021-06-23 11:16:21	ga_s2am_ard_3-2-1_52HBK_2021-06-23_final
2021-07-29 11:34:09	ga_s2am_ard_3-2-1_51KXP_2021-07-29_final
2021-08-07 12:05:11	ga_s2am_ard_3-2-1_50JLR_2021-08-07_final
2021-08-14 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-08-14_final
2021-10-20 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2021-10-20_final
2021-12-12 11:56:07	ga_s2am_ard_3-2-1_50JMM_2021-12-12_final
2022-01-29 11:14:09	ga_s2am_ard_3-2-1_51KZP_2022-01-29_final
2022-02-01 11:24:32	ga_s2am_ard_3-2-1_51JZM_2022-02-01_final
2022-02-27 11:47:05	ga_s2am_ard_3-2-1_50HPH_2022-02-27_final
2022-03-09 11:42:13	ga_s2am_ard_3-2-1_51KWB_2022-03-09_final
2022-03-29 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2022-03-29_final
2022-05-17 12:15:25	ga_s2am_ard_3-2-1_49JGK_2022-05-17_final
2022-05-21 11:53:17	ga_s2am_ard_3-2-1_50KRC_2022-05-21_final
2022-06-01 11:25:32	ga_s2am_ard_3-2-1_51JXJ_2022-06-01_final
2022-07-07 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-07-07_final
2022-09-16 12:51:08	ga_s2am_ard_3-2-1_48LXP_2022-09-16_interim.stac-item
2022-11-04 11:43:29	ga_s2am_ard_3-2-1_51KVS_2022-11-04_final.stac-item
2022-11-04 11:44:45	ga_s2am_ard_3-2-1_51JUM_2022-11-04_final.stac-item
2022-11-21 11:33:24	ga_s2am_ard_3-2-1_51KXS_2022-11-21_final.stac-item
2022-12-04 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2022-12-04_final.stac-item
2022-12-08 11:26:59	ga_s2am_ard_3-2-1_51HVC_2022-12-08_final.stac-item
2022-12-18 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2022-12-18_final.stac-item
2022-12-20 12:05:50	ga_s2am_ard_3-2-1_50JLN_2022-12-20_final.stac-item
2023-02-09 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-02-09_final.stac-item
2023-03-24 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-03-24_final.stac-item
2023-03-24 11:46:07	ga_s2am_ard_3-2-1_50JNM_2023-03-24_final.stac-item
2023-03-30 12:03:31	ga_s2am_ard_3-2-1_50KNB_2023-03-30_final.stac-item
2023-03-30 12:04:08	ga_s2am_ard_3-2-1_50KLV_2023-03-30_final.stac-item
2023-03-30 12:04:24	ga_s2am_ard_3-2-1_50KKU_2023-03-30_final.stac-item
2023-04-03 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-04-03_final.stac-item
2023-04-13 11:44:39	ga_s2am_ard_3-2-1_51JUM_2023-04-13_final.stac-item
2023-08-12 11:16:49	ga_s2am_ard_3-2-1_51HWD_2023-08-12_final.stac-item
2023-12-10 11:15:13	ga_s2am_ard_3-2-1_52JCP_2023-12-10_final.stac-item
2023-12-20 11:16:30	ga_s2am_ard_3-2-1_52HBJ_2023-12-20_final.stac-item
2024-01-22 11:23:03	ga_s2am_ard_3-2-1_51KYT_2024-01-22_final.stac-item
2024-03-25 11:33:46	ga_s2am_ard_3-2-1_51KVR_2024-03-25_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