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
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_49JGM_2016-05-25_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JUG_2016-06-12_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXT_2016-07-02_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JCN_2016-08-25_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JKN_2016-10-09_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51KVR_2016-10-23_final.stac-item
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JEM_2017-01-09_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JTH_2017-08-19_final
2017-10-14 11:56:06	ga_s2am_ard_3-2-1_50JKM_2017-10-14_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWG_2017-12-04_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51HYD_2018-03-01_final
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KYT_2018-05-16_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HYD_2018-05-20_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPP_2018-06-18_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JBM_2018-06-19_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JCL_2018-10-27_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPH_2018-11-05_final
2018-11-06 11:16:16	ga_s2am_ard_3-2-1_52HBK_2018-11-06_final
2018-11-25 11:42:01	ga_s2am_ard_3-2-1_51KWB_2018-11-25_final
2019-01-01 11:34:04	ga_s2am_ard_3-2-1_51KWP_2019-01-01_final
2019-04-14 11:45:56	ga_s2am_ard_3-2-1_50JNN_2019-04-14_final
2019-05-21 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2019-05-21_final
2019-07-13 11:47:12	ga_s2am_ard_3-2-1_50HNH_2019-07-13_final
2019-07-20 11:34:41	ga_s2am_ard_3-2-1_51JTN_2019-07-20_final
2019-09-18 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2019-09-18_final
2019-09-21 11:42:57	ga_s2am_ard_3-2-1_51KVU_2019-09-21_final
2019-11-08 11:06:09	ga_s2am_ard_3-2-1_52JCL_2019-11-08_final
2019-12-06 12:06:07	ga_s2am_ard_3-2-1_50JKM_2019-12-06_final
2020-01-02 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-02_final
2020-01-09 11:42:40	ga_s2am_ard_3-2-1_51KUV_2020-01-09_final
2020-01-10 11:14:47	ga_s2am_ard_3-2-1_52JBR_2020-01-10_final
2020-02-17 12:14:53	ga_s2am_ard_3-2-1_49JFM_2020-02-17_final
2020-02-21 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2020-02-21_final
2020-02-24 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2020-02-24_final
2020-03-24 10:55:56	ga_s2am_ard_3-2-1_52JFL_2020-03-24_final
2020-04-09 11:13:38	ga_s2am_ard_3-2-1_51KZR_2020-04-09_final
2020-04-28 11:46:11	ga_s2am_ard_3-2-1_50JNM_2020-04-28_final
2020-05-24 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-05-24_final
2020-05-25 11:34:38	ga_s2am_ard_3-2-1_51JUN_2020-05-25_final
2020-07-17 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-07-17_final
2020-08-04 11:06:43	ga_s2am_ard_3-2-1_51HYD_2020-08-04_final
2020-08-13 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-08-13_final
2020-08-20 11:25:09	ga_s2am_ard_3-2-1_51JVL_2020-08-20_final
2020-09-01 12:04:58	ga_s2am_ard_3-2-1_50JLS_2020-09-01_final
2020-10-12 11:36:59	ga_s2am_ard_3-2-1_51HTD_2020-10-12_final
2020-11-02 11:05:57	ga_s2am_ard_3-2-1_52JCM_2020-11-02_final
2020-12-11 11:35:04	ga_s2am_ard_3-2-1_51JWK_2020-12-11_final
2021-01-20 11:35:31	ga_s2am_ard_3-2-1_51JUJ_2021-01-20_final
2021-02-02 11:45:39	ga_s2am_ard_3-2-1_50JNP_2021-02-02_final
2021-02-09 11:33:47	ga_s2am_ard_3-2-1_51KUR_2021-02-09_final
2021-02-19 11:31:42	ga_s2am_ard_3-2-1_51LXD_2021-02-19_final
2021-03-03 12:14:07	ga_s2am_ard_3-2-1_50KKV_2021-03-03_final
2021-03-22 11:04:13	ga_s2am_ard_3-2-1_52JFT_2021-03-22_final
2021-04-07 11:26:31	ga_s2am_ard_3-2-1_51HXD_2021-04-07_final
2021-05-14 11:15:29	ga_s2am_ard_3-2-1_51JXJ_2021-05-14_final
2021-05-24 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2021-05-24_final
2021-06-02 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-06-02_final
2021-06-03 11:16:06	ga_s2am_ard_3-2-1_52JBL_2021-06-03_final
2021-07-22 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-07-22_final
2021-08-31 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-08-31_final
2021-09-11 11:15:57	ga_s2am_ard_3-2-1_51JXG_2021-09-11_final
2021-09-20 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-09-20_final
2021-12-06 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2021-12-06_final
2021-12-19 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-12-19_final
2021-12-28 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2021-12-28_final
2022-02-07 11:43:24	ga_s2am_ard_3-2-1_51KVS_2022-02-07_final
2022-03-19 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-03-19_final
2022-03-26 11:35:36	ga_s2am_ard_3-2-1_51JTJ_2022-03-26_final
2022-03-29 11:47:12	ga_s2am_ard_3-2-1_50HMH_2022-03-29_final
2022-04-11 11:56:20	ga_s2am_ard_3-2-1_50JNL_2022-04-11_final
2022-04-18 11:43:33	ga_s2am_ard_3-2-1_51KUS_2022-04-18_final
2022-05-22 11:26:47	ga_s2am_ard_3-2-1_51HWD_2022-05-22_final
2022-05-28 11:44:42	ga_s2am_ard_3-2-1_50JQT_2022-05-28_final
2022-06-17 11:44:16	ga_s2am_ard_3-2-1_50KQV_2022-06-17_final
2022-09-15 11:46:03	ga_s2am_ard_3-2-1_50JNN_2022-09-15_final.stac-item
2022-10-08 13:31:40	ga_s2am_ard_3-2-1_47LKH_2022-10-08_interim.stac-item
2022-11-12 11:06:10	ga_s2am_ard_3-2-1_52JCL_2022-11-12_final.stac-item
2022-11-25 11:13:39	ga_s2am_ard_3-2-1_51KZR_2022-11-25_final.stac-item
2022-12-20 12:04:47	ga_s2am_ard_3-2-1_50JMS_2022-12-20_final.stac-item
2023-01-16 11:53:46	ga_s2am_ard_3-2-1_50KPA_2023-01-16_final.stac-item
2023-01-28 10:55:29	ga_s2am_ard_3-2-1_52JFN_2023-01-28_final.stac-item
2023-03-01 11:31:03	ga_s2am_ard_3-2-1_51LZF_2023-03-01_final.stac-item
2023-03-08 11:26:43	ga_s2am_ard_3-2-1_51HUD_2023-03-08_final.stac-item
2023-03-19 10:55:58	ga_s2am_ard_3-2-1_52JFL_2023-03-19_final.stac-item
2023-03-24 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-03-24_final.stac-item
2023-04-03 11:43:21	ga_s2am_ard_3-2-1_50KQC_2023-04-03_final.stac-item
2023-05-07 11:23:00	ga_s2am_ard_3-2-1_51KXU_2023-05-07_final.stac-item
2023-06-03 11:16:30	ga_s2am_ard_3-2-1_51HXE_2023-06-03_final.stac-item
2023-07-19 11:36:38	ga_s2am_ard_3-2-1_50HQK_2023-07-19_final.stac-item
2023-08-12 11:15:52	ga_s2am_ard_3-2-1_52JCM_2023-08-12_final.stac-item
2023-11-03 11:21:09	ga_s2am_ard_3-2-1_51LZF_2023-11-03_nrt.stac-item
2023-11-16 11:36:16	ga_s2am_ard_3-2-1_51JTF_2023-11-16_final.stac-item
2023-11-26 11:33:42	ga_s2am_ard_3-2-1_51KUR_2023-11-26_final.stac-item
2023-12-06 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2023-12-06_final.stac-item
2024-01-02 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2024-01-02_final.stac-item
2024-01-15 11:31:14	ga_s2am_ard_3-2-1_51LZE_2024-01-15_final.stac-item
2024-01-25 11:32:34	ga_s2am_ard_3-2-1_51KXV_2024-01-25_final.stac-item
2024-02-04 11:35:55	ga_s2am_ard_3-2-1_51JUG_2024-02-04_final.stac-item
2024-03-02 11:22:27	ga_s2am_ard_3-2-1_51KYA_2024-03-02_final.stac-item
2024-05-24 11:35:40	ga_s2am_ard_3-2-1_51JVH_2024-05-24_nrt.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

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