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
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KXT_2016-08-04_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLM_2016-09-19_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMK_2016-10-09_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51KWS_2016-10-23_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_52KBA_2016-12-09_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51LUE_2016-12-25_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51JVK_2017-02-17_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JFR_2017-04-09_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52KBU_2017-05-25_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HXD_2017-07-04_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JNP_2017-07-16_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KGR_2017-07-22_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JXJ_2017-08-13_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KYA_2017-08-19_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50HNK_2017-10-04_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXP_2018-01-13_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVT_2018-04-26_final
2018-05-13 11:26:36	ga_s2am_ard_3-2-1_51HWC_2018-05-13_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KCC_2018-06-09_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KUR_2018-07-05_final
2018-12-11 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-11_final
2019-01-01 11:34:23	ga_s2am_ard_3-2-1_51JVN_2019-01-01_final
2019-01-08 11:22:00	ga_s2am_ard_3-2-1_52KCG_2019-01-08_final
2019-05-08 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2019-05-08_final
2019-07-07 11:22:38	ga_s2am_ard_3-2-1_52KCE_2019-07-07_final
2019-07-20 11:34:16	ga_s2am_ard_3-2-1_51KWP_2019-07-20_final
2019-08-29 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2019-08-29_final
2019-09-06 10:55:56	ga_s2am_ard_3-2-1_52JGL_2019-09-06_final
2019-10-05 11:24:14	ga_s2am_ard_3-2-1_51KXP_2019-10-05_final
2019-11-21 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2019-11-21_final
2020-01-26 11:32:54	ga_s2am_ard_3-2-1_51KVU_2020-01-26_final
2020-01-29 11:46:12	ga_s2am_ard_3-2-1_50JPL_2020-01-29_final
2020-02-15 11:33:27	ga_s2am_ard_3-2-1_51KUS_2020-02-15_final
2020-02-21 11:56:24	ga_s2am_ard_3-2-1_50HNK_2020-02-21_final
2020-03-25 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-25_final
2020-04-19 11:15:22	ga_s2am_ard_3-2-1_52JBP_2020-04-19_final
2020-05-04 12:06:07	ga_s2am_ard_3-2-1_50JLM_2020-05-04_final
2020-05-22 11:23:41	ga_s2am_ard_3-2-1_52KBA_2020-05-22_final
2020-06-03 12:04:34	ga_s2am_ard_3-2-1_50KKU_2020-06-03_final
2020-06-24 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-06-24_final
2020-07-13 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-07-13_final
2020-07-14 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2020-07-14_final
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-07-26_final
2020-08-22 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-08-22_final
2020-09-16 11:13:39	ga_s2am_ard_3-2-1_52KDA_2020-09-16_final
2020-09-22 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-09-22_final
2020-11-01 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-11-01_final.stac-item
2020-11-22 11:04:37	ga_s2am_ard_3-2-1_52JFS_2020-11-22_final
2021-02-12 11:42:12	ga_s2am_ard_3-2-1_51KVB_2021-02-12_final
2021-02-26 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-02-26_final
2021-03-01 11:34:40	ga_s2am_ard_3-2-1_51JVM_2021-03-01_final
2021-03-19 10:54:47	ga_s2am_ard_3-2-1_52JFR_2021-03-19_final
2021-05-03 11:45:41	ga_s2am_ard_3-2-1_51JTH_2021-05-03_final
2021-05-13 11:42:27	ga_s2am_ard_3-2-1_51KVA_2021-05-13_final
2021-05-19 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-05-19_final
2021-07-16 11:26:03	ga_s2am_ard_3-2-1_51JVG_2021-07-16_final
2021-07-22 11:44:19	ga_s2am_ard_3-2-1_50KRU_2021-07-22_final
2021-07-22 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-07-22_final
2021-07-29 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-07-29_final
2021-08-02 11:14:12	ga_s2am_ard_3-2-1_51KZP_2021-08-02_final
2021-08-11 11:41:58	ga_s2am_ard_3-2-1_51LWC_2021-08-11_final
2021-08-17 12:04:30	ga_s2am_ard_3-2-1_50KKU_2021-08-17_final
2021-09-10 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-09-10_final
2021-09-20 11:41:35	ga_s2am_ard_3-2-1_51LUE_2021-09-20_final
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final
2022-01-19 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-01-19_final
2022-01-25 11:32:11	ga_s2am_ard_3-2-1_51KXB_2022-01-25_final
2022-04-21 11:57:25	ga_s2am_ard_3-2-1_50HMG_2022-04-21_final.stac-item
2022-04-28 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2022-04-28_final
2022-05-15 11:33:32	ga_s2am_ard_3-2-1_51KWS_2022-05-15_final
2022-05-22 11:24:11	ga_s2am_ard_3-2-1_51KZP_2022-05-22_final
2022-07-25 11:05:41	ga_s2am_ard_3-2-1_52JEN_2022-07-25_final
2022-07-28 11:16:32	ga_s2am_ard_3-2-1_51HYE_2022-07-28_final
2022-08-03 11:36:59	ga_s2am_ard_3-2-1_50HQJ_2022-08-03_final
2022-09-05 11:44:49	ga_s2am_ard_3-2-1_50JPT_2022-09-05_final.stac-item
2022-09-21 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-09-21_final.stac-item
2022-12-18 11:24:54	ga_s2am_ard_3-2-1_51JXL_2022-12-18_final.stac-item
2022-12-21 11:34:09	ga_s2am_ard_3-2-1_51KWP_2022-12-21_final.stac-item
2023-01-27 11:22:02	ga_s2am_ard_3-2-1_52KCG_2023-01-27_final.stac-item
2023-02-05 11:53:16	ga_s2am_ard_3-2-1_50KQC_2023-02-05_final.stac-item
2023-03-28 11:24:06	ga_s2am_ard_3-2-1_51KYP_2023-03-28_final.stac-item
2023-03-31 11:34:48	ga_s2am_ard_3-2-1_51JTM_2023-03-31_final.stac-item
2023-04-26 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-04-26_final.stac-item
2023-04-30 11:32:15	ga_s2am_ard_3-2-1_51KWB_2023-04-30_final.stac-item
2023-05-01 11:04:47	ga_s2am_ard_3-2-1_52JER_2023-05-01_final.stac-item
2023-06-16 11:26:59	ga_s2am_ard_3-2-1_51HWC_2023-06-16_final.stac-item
2023-07-02 11:43:16	ga_s2am_ard_3-2-1_51KVT_2023-07-02_final.stac-item
2023-07-12 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-07-12_final.stac-item
2023-08-05 11:25:11	ga_s2am_ard_3-2-1_51JYK_2023-08-05_final.stac-item
2023-08-15 11:25:11	ga_s2am_ard_3-2-1_51JYK_2023-08-15_final.stac-item
2023-10-07 11:33:31	ga_s2am_ard_3-2-1_51KVS_2023-10-07_final.stac-item
2023-10-14 11:22:03	ga_s2am_ard_3-2-1_52KCG_2023-10-14_final.stac-item
2023-12-30 11:14:20	ga_s2am_ard_3-2-1_51JZN_2023-12-30_final.stac-item
2024-01-02 11:23:40	ga_s2am_ard_3-2-1_51KXR_2024-01-02_final.stac-item
2024-01-24 12:04:39	ga_s2am_ard_3-2-1_49JGN_2024-01-24_final.stac-item
2024-02-12 10:54:18	ga_s2am_ard_3-2-1_52JFT_2024-02-12_final.stac-item
2024-03-08 11:44:51	ga_s2am_ard_3-2-1_50JQS_2024-03-08_final.stac-item
2024-03-18 11:40:58	ga_s2am_ard_3-2-1_51LWG_2024-03-18_final.stac-item
2024-04-21 11:24:07	ga_s2am_ard_3-2-1_51KZP_2024-04-21_final.stac-item
2024-04-28 11:13:24	ga_s2am_ard_3-2-1_52KCB_2024-04-28_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