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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KWP_2015-11-25_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMB_2016-06-04_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HMK_2016-10-29_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JWH_2017-01-18_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50JKR_2017-02-19_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KMB_2017-03-11_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51HTC_2017-04-08_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KUT_2017-06-13_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXH_2017-10-05_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JWH_2018-02-02_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51LWC_2018-02-25_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNL_2018-04-22_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KVT_2018-06-18_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_51KUT_2018-09-06_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPH_2018-09-13_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_51KYP_2018-09-30_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JXG_2018-09-30_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51LWC_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPN_2018-11-05_final
2019-01-11 11:33:37	ga_s2am_ard_3-2-1_51KWR_2019-01-11_final
2019-01-18 11:23:39	ga_s2am_ard_3-2-1_51KXR_2019-01-18_final
2019-01-24 11:43:30	ga_s2am_ard_3-2-1_50KRB_2019-01-24_final
2019-01-25 11:16:37	ga_s2am_ard_3-2-1_51HXD_2019-01-25_final
2019-03-05 11:45:30	ga_s2am_ard_3-2-1_50JPP_2019-03-05_final
2019-03-06 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2019-03-06_final
2019-04-24 11:43:15	ga_s2am_ard_3-2-1_51KVT_2019-04-24_final
2019-06-03 11:43:31	ga_s2am_ard_3-2-1_51KUS_2019-06-03_final
2019-06-16 11:56:17	ga_s2am_ard_3-2-1_50JKM_2019-06-16_final
2019-06-30 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2019-06-30_final
2019-07-13 11:47:07	ga_s2am_ard_3-2-1_50HPH_2019-07-13_final
2019-07-23 11:47:11	ga_s2am_ard_3-2-1_50HNH_2019-07-23_final
2019-08-09 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2019-08-09_final
2019-09-15 11:22:58	ga_s2am_ard_3-2-1_51KYU_2019-09-15_final
2019-09-25 11:23:26	ga_s2am_ard_3-2-1_51KYS_2019-09-25_final
2019-09-28 11:33:03	ga_s2am_ard_3-2-1_51KYT_2019-09-28_final
2019-10-12 11:16:43	ga_s2am_ard_3-2-1_51HXD_2019-10-12_final
2019-10-17 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-10-17_final
2019-11-30 11:42:56	ga_s2am_ard_3-2-1_51KVU_2019-11-30_final
2020-01-10 11:14:50	ga_s2am_ard_3-2-1_51JYL_2020-01-10_final
2020-01-16 11:36:04	ga_s2am_ard_3-2-1_51JVF_2020-01-16_final
2020-01-20 11:16:02	ga_s2am_ard_3-2-1_51JYF_2020-01-20_final
2020-02-08 11:42:34	ga_s2am_ard_3-2-1_51KVV_2020-02-08_final
2020-02-12 11:26:25	ga_s2am_ard_3-2-1_51HUE_2020-02-12_final
2020-02-18 11:44:39	ga_s2am_ard_3-2-1_51JTM_2020-02-18_final
2020-04-22 11:23:26	ga_s2am_ard_3-2-1_51KYS_2020-04-22_final
2020-05-02 11:22:59	ga_s2am_ard_3-2-1_51KYU_2020-05-02_final
2020-05-08 11:46:27	ga_s2am_ard_3-2-1_50JNL_2020-05-08_final
2020-05-22 11:22:14	ga_s2am_ard_3-2-1_51KZB_2020-05-22_final
2020-05-25 11:35:18	ga_s2am_ard_3-2-1_51JVK_2020-05-25_final
2020-08-23 11:35:13	ga_s2am_ard_3-2-1_51JWK_2020-08-23_final
2020-08-29 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-08-29_final
2020-09-29 11:24:13	ga_s2am_ard_3-2-1_51KWQ_2020-09-29_final
2020-12-11 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-12-11_final
2021-02-06 11:26:25	ga_s2am_ard_3-2-1_51HWE_2021-02-06_final
2021-02-26 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-02-26_final
2021-03-18 11:23:09	ga_s2am_ard_3-2-1_51KYT_2021-03-18_final
2021-03-18 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-03-18_final
2021-04-04 11:16:33	ga_s2am_ard_3-2-1_51HYD_2021-04-04_final
2021-04-20 11:36:27	ga_s2am_ard_3-2-1_51HTE_2021-04-20_final
2021-05-14 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-05-14_final
2021-06-02 11:43:48	ga_s2am_ard_3-2-1_50KRA_2021-06-02_final
2021-06-03 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-06-03_final
2021-08-08 11:36:49	ga_s2am_ard_3-2-1_51HTD_2021-08-08_final
2021-08-31 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-08-31_final
2021-09-30 11:43:29	ga_s2am_ard_3-2-1_51KVS_2021-09-30_final
2021-09-30 11:46:45	ga_s2am_ard_3-2-1_50HMK_2021-09-30_final
2021-10-14 11:26:49	ga_s2am_ard_3-2-1_51HVD_2021-10-14_final
2021-11-02 11:56:41	ga_s2am_ard_3-2-1_50HMK_2021-11-02_final
2021-11-19 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-11-19_final
2022-01-05 11:32:56	ga_s2am_ard_3-2-1_51KXU_2022-01-05_final
2022-02-14 11:31:21	ga_s2am_ard_3-2-1_51LZE_2022-02-14_final
2022-04-18 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-04-18_final
2022-05-18 11:43:24	ga_s2am_ard_3-2-1_50KRC_2022-05-18_final
2022-08-17 11:16:06	ga_s2am_ard_3-2-1_51JYG_2022-08-17_final
2022-09-12 11:35:29	ga_s2am_ard_3-2-1_51JTK_2022-09-12_final.stac-item
2022-10-02 11:36:39	ga_s2am_ard_3-2-1_51HTE_2022-10-02_final.stac-item
2022-11-28 11:23:28	ga_s2am_ard_3-2-1_51KXS_2022-11-28_final.stac-item
2022-12-01 11:33:42	ga_s2am_ard_3-2-1_51KWR_2022-12-01_final.stac-item
2022-12-11 11:36:24	ga_s2am_ard_3-2-1_51HVE_2022-12-11_final.stac-item
2022-12-13 12:14:18	ga_s2am_ard_3-2-1_49KFQ_2022-12-13_nrt.stac-item
2023-01-10 11:33:36	ga_s2am_ard_3-2-1_51KXR_2023-01-10_final.stac-item
2023-01-27 11:25:10	ga_s2am_ard_3-2-1_51JWK_2023-01-27_final.stac-item
2023-02-22 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-02-22_final.stac-item
2023-03-05 11:16:37	ga_s2am_ard_3-2-1_51HXD_2023-03-05_final.stac-item
2023-04-03 11:44:15	ga_s2am_ard_3-2-1_50KRU_2023-04-03_final.stac-item
2023-05-21 11:06:38	ga_s2am_ard_3-2-1_52HBJ_2023-05-21_final.stac-item
2023-06-19 11:33:38	ga_s2am_ard_3-2-1_51KUS_2023-06-19_final.stac-item
2023-06-19 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2023-06-19_final.stac-item
2023-06-26 11:24:11	ga_s2am_ard_3-2-1_51KZP_2023-06-26_final.stac-item
2023-06-26 11:26:18	ga_s2am_ard_3-2-1_51JVF_2023-06-26_final.stac-item
2023-07-01 12:15:04	ga_s2am_ard_3-2-1_49JFM_2023-07-01_final.stac-item
2023-07-23 11:16:27	ga_s2am_ard_3-2-1_51HYE_2023-07-23_final.stac-item
2023-08-08 11:36:24	ga_s2am_ard_3-2-1_50JQL_2023-08-08_final.stac-item
2023-08-11 11:43:19	ga_s2am_ard_3-2-1_51KUT_2023-08-11_final.stac-item
2023-08-12 11:15:58	ga_s2am_ard_3-2-1_51JYG_2023-08-12_final.stac-item
2023-10-29 12:14:30	ga_s2am_ard_3-2-1_49KFP_2023-10-29_nrt.stac-item
2023-11-13 11:22:55	ga_s2am_ard_3-2-1_51KYU_2023-11-13_final.stac-item
2023-11-28 12:14:23	ga_s2am_ard_3-2-1_49KFP_2023-11-28_nrt.stac-item
2024-03-12 11:24:26	ga_s2am_ard_3-2-1_51JXN_2024-03-12_final.stac-item
2024-03-15 11:31:49	ga_s2am_ard_3-2-1_51LYC_2024-03-15_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