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
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPK_2016-03-07_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HWD_2016-04-30_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51HWC_2016-05-30_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_51KUT_2016-09-06_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50KQF_2016-10-09_final.stac-item
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KXB_2017-02-10_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KUV_2017-03-25_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KVB_2017-03-25_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPJ_2017-05-24_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVT_2017-11-07_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVT_2017-11-27_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWS_2017-12-17_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KVS_2018-01-26_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-04-15_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KVV_2018-05-09_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-04_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KVR_2018-07-05_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JWH_2018-07-22_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51KTU_2018-08-07_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPJ_2018-09-06_final
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KRC_2018-09-29_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KWR_2018-10-23_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWU_2018-11-02_final
2018-11-22 11:32:51	ga_s2am_ard_3-2-1_51KWU_2018-11-22_final
2018-11-24 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-11-24_final
2019-04-01 11:36:14	ga_s2am_ard_3-2-1_51JUF_2019-04-01_final
2019-04-07 11:57:10	ga_s2am_ard_3-2-1_50HLH_2019-04-07_final
2019-04-14 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-04-14_final
2019-04-17 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-04-17_final.stac-item
2019-04-20 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-04-20_final
2019-04-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-04-20_final
2019-04-21 11:34:17	ga_s2am_ard_3-2-1_51KVP_2019-04-21_final
2019-05-08 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2019-05-08_final
2019-05-31 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-05-31_final
2019-08-25 11:53:23	ga_s2am_ard_3-2-1_50KPC_2019-08-25_final
2019-09-08 11:33:41	ga_s2am_ard_3-2-1_51KWR_2019-09-08_final
2019-10-31 11:43:21	ga_s2am_ard_3-2-1_51KTT_2019-10-31_final
2020-02-15 11:32:55	ga_s2am_ard_3-2-1_51KVU_2020-02-15_final
2020-02-18 11:42:36	ga_s2am_ard_3-2-1_51KVV_2020-02-18_final
2020-03-23 11:23:53	ga_s2am_ard_3-2-1_51KXQ_2020-03-23_final
2020-04-22 11:25:11	ga_s2am_ard_3-2-1_51JXK_2020-04-22_final
2020-05-04 12:04:10	ga_s2am_ard_3-2-1_50KKV_2020-05-04_final.stac-item
2020-05-28 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-05-28_final.stac-item
2020-06-13 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-06-13_final
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-08-13 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-08-13_final
2020-08-13 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-08-13_final
2020-10-12 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-10-12_final
2020-11-21 11:32:14	ga_s2am_ard_3-2-1_51KXB_2020-11-21_final
2020-12-04 11:42:26	ga_s2am_ard_3-2-1_51KVA_2020-12-04_final
2020-12-07 11:53:19	ga_s2am_ard_3-2-1_50KPC_2020-12-07_final
2021-05-29 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-05-29_final
2021-06-29 11:33:03	ga_s2am_ard_3-2-1_51KVU_2021-06-29_final
2021-07-09 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-09_final
2021-08-07 12:03:29	ga_s2am_ard_3-2-1_50KLC_2021-08-07_final
2021-08-25 11:23:45	ga_s2am_ard_3-2-1_51KXR_2021-08-25_final
2021-09-20 11:42:16	ga_s2am_ard_3-2-1_51KVB_2021-09-20_final
2021-09-27 11:33:49	ga_s2am_ard_3-2-1_51KVR_2021-09-27_final
2021-10-04 11:27:06	ga_s2am_ard_3-2-1_51HUC_2021-10-04_final
2021-10-19 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-19_final
2021-11-19 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-11-19_final
2021-11-20 11:16:26	ga_s2am_ard_3-2-1_51HXE_2021-11-20_final
2021-12-03 11:26:35	ga_s2am_ard_3-2-1_51HXD_2021-12-03_final
2021-12-25 12:03:46	ga_s2am_ard_3-2-1_50KKB_2021-12-25_final
2021-12-29 11:42:11	ga_s2am_ard_3-2-1_51KWB_2021-12-29_final
2022-01-08 11:43:19	ga_s2am_ard_3-2-1_51KTT_2022-01-08_final
2022-01-09 11:17:00	ga_s2am_ard_3-2-1_51HWC_2022-01-09_final.stac-item
2022-01-17 12:13:55	ga_s2am_ard_3-2-1_50KKA_2022-01-17_final
2022-02-17 11:42:47	ga_s2am_ard_3-2-1_51KUV_2022-02-17_final
2022-04-04 12:04:00	ga_s2am_ard_3-2-1_50KKA_2022-04-04_final
2022-04-15 11:33:05	ga_s2am_ard_3-2-1_51KVU_2022-04-15_final
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final
2022-06-10 11:56:05	ga_s2am_ard_3-2-1_50JLN_2022-06-10_final
2022-07-17 11:43:41	ga_s2am_ard_3-2-1_51KUS_2022-07-17_final
2022-11-14 11:42:45	ga_s2am_ard_3-2-1_51KVV_2022-11-14_final.stac-item
2022-12-18 11:23:42	ga_s2am_ard_3-2-1_51KXR_2022-12-18_final.stac-item
2022-12-24 11:42:58	ga_s2am_ard_3-2-1_51KUU_2022-12-24_final.stac-item
2022-12-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2022-12-31_final.stac-item
2023-01-23 11:43:25	ga_s2am_ard_3-2-1_51KUS_2023-01-23_final.stac-item
2023-03-04 11:43:08	ga_s2am_ard_3-2-1_51KVT_2023-03-04_final.stac-item
2023-04-10 11:33:02	ga_s2am_ard_3-2-1_51KVU_2023-04-10_final.stac-item
2023-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-05-10_final.stac-item
2023-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-05-13_final.stac-item
2023-06-16 11:26:59	ga_s2am_ard_3-2-1_51HWC_2023-06-16_final.stac-item
2023-06-22 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2023-06-22_final.stac-item
2023-09-09 12:14:32	ga_s2am_ard_3-2-1_49KGP_2023-09-09_final.stac-item
2023-09-10 11:42:51	ga_s2am_ard_3-2-1_51KUV_2023-09-10_final.stac-item
2023-09-10 11:43:02	ga_s2am_ard_3-2-1_51KVU_2023-09-10_final.stac-item
2023-09-24 11:24:39	ga_s2am_ard_3-2-1_51JYM_2023-09-24_final.stac-item
2023-09-30 11:47:26	ga_s2am_ard_3-2-1_50HMG_2023-09-30_final.stac-item
2023-10-07 11:33:17	ga_s2am_ard_3-2-1_51KVT_2023-10-07_final.stac-item
2023-10-07 11:33:39	ga_s2am_ard_3-2-1_51KXR_2023-10-07_final.stac-item
2023-10-30 11:42:21	ga_s2am_ard_3-2-1_51KWA_2023-10-30_final.stac-item
2023-11-06 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-11-06_final.stac-item
2023-12-09 11:43:08	ga_s2am_ard_3-2-1_51KTT_2023-12-09_final.stac-item
2024-01-15 11:33:41	ga_s2am_ard_3-2-1_51KUR_2024-01-15_final.stac-item
2024-02-07 11:42:59	ga_s2am_ard_3-2-1_51KTU_2024-02-07_final.stac-item
2024-02-14 11:32:44	ga_s2am_ard_3-2-1_51KVV_2024-02-14_final.stac-item
2024-03-04 12:03:24	ga_s2am_ard_3-2-1_50KMC_2024-03-04_final.stac-item
2024-03-29 11:15:42	ga_s2am_ard_3-2-1_51JXH_2024-03-29_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