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
2023-02-05 10:13:54	ga_s2am_ard_3-2-1_54JXT_2023-02-05_final.stac-item
2023-02-05 10:14:23	ga_s2am_ard_3-2-1_54JXR_2023-02-05_final.stac-item
2023-02-05 11:54:43	ga_s2am_ard_3-2-1_50JLT_2023-02-05_final.stac-item
2023-02-06 09:45:25	ga_s2am_ard_3-2-1_55JDG_2023-02-06_final.stac-item
2023-02-06 11:25:44	ga_s2am_ard_3-2-1_51JYG_2023-02-06_final.stac-item
2023-02-07 10:55:21	ga_s2am_ard_3-2-1_52JEP_2023-02-07_final.stac-item
2023-02-26 11:24:34	ga_s2am_ard_3-2-1_51JYM_2023-02-26_final.stac-item
2023-03-01 11:33:35	ga_s2am_ard_3-2-1_51KXR_2023-03-01_final.stac-item
2023-03-05 11:14:17	ga_s2am_ard_3-2-1_52JCT_2023-03-05_final.stac-item
2023-03-05 11:14:28	ga_s2am_ard_3-2-1_52JDS_2023-03-05_final.stac-item
2023-03-05 11:14:43	ga_s2am_ard_3-2-1_52JDR_2023-03-05_final.stac-item
2023-03-05 11:15:41	ga_s2am_ard_3-2-1_52JBN_2023-03-05_final.stac-item
2023-03-06 10:44:03	ga_s2am_ard_3-2-1_53JNN_2023-03-06_final.stac-item
2023-03-06 10:44:06	ga_s2am_ard_3-2-1_53JMN_2023-03-06_final.stac-item
2023-03-06 10:44:13	ga_s2am_ard_3-2-1_53JPM_2023-03-06_final.stac-item
2023-03-06 10:44:44	ga_s2am_ard_3-2-1_53JKL_2023-03-06_final.stac-item
2023-03-07 10:15:33	ga_s2am_ard_3-2-1_54JXL_2023-03-07_final.stac-item
2023-03-07 11:54:19	ga_s2am_ard_3-2-1_50JQT_2023-03-07_final.stac-item
2023-03-08 11:24:14	ga_s2am_ard_3-2-1_51JZN_2023-03-08_final.stac-item
2023-03-08 11:24:28	ga_s2am_ard_3-2-1_51JZM_2023-03-08_final.stac-item
2023-03-09 10:53:16	ga_s2am_ard_3-2-1_52KGB_2023-03-09_final.stac-item
2023-03-09 10:53:55	ga_s2am_ard_3-2-1_53JMN_2023-03-09_final.stac-item
2023-03-09 10:54:05	ga_s2am_ard_3-2-1_52JHT_2023-03-09_final.stac-item
2023-03-10 12:03:28	ga_s2am_ard_3-2-1_50KNB_2023-03-10_final.stac-item
2023-03-10 12:04:16	ga_s2am_ard_3-2-1_50KMU_2023-03-10_final.stac-item
2023-03-10 12:04:19	ga_s2am_ard_3-2-1_50KLU_2023-03-10_final.stac-item
2023-03-10 12:04:26	ga_s2am_ard_3-2-1_50JMT_2023-03-10_final.stac-item
2023-03-10 12:04:31	ga_s2am_ard_3-2-1_50JMT_2023-03-10_final.stac-item
2023-03-11 09:55:52	ga_s2am_ard_3-2-1_54HYK_2023-03-11_final.stac-item
2023-03-11 11:31:24	ga_s2am_ard_3-2-1_52LBJ_2023-03-11_final.stac-item
2023-03-11 11:31:44	ga_s2am_ard_3-2-1_51LZC_2023-03-11_final.stac-item
2023-03-11 11:32:58	ga_s2am_ard_3-2-1_51KYT_2023-03-11_final.stac-item
2023-03-11 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-03-11_final.stac-item
2023-03-11 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2023-03-11_final.stac-item
2023-03-11 11:34:31	ga_s2am_ard_3-2-1_51JTN_2023-03-11_final.stac-item
2023-03-12 11:01:34	ga_s2am_ard_3-2-1_53LLC_2023-03-12_final.stac-item
2023-03-12 11:01:37	ga_s2am_ard_3-2-1_53LKC_2023-03-12_final.stac-item
2023-03-12 11:01:59	ga_s2am_ard_3-2-1_52KFG_2023-03-12_final.stac-item
2023-03-12 11:02:12	ga_s2am_ard_3-2-1_52KFF_2023-03-12_final.stac-item
2023-03-12 11:03:27	ga_s2am_ard_3-2-1_52KFA_2023-03-12_final.stac-item
2023-03-12 11:04:17	ga_s2am_ard_3-2-1_52JDT_2023-03-12_final.stac-item
2023-03-12 11:04:31	ga_s2am_ard_3-2-1_52JGR_2023-03-12_final.stac-item
2023-03-12 11:04:53	ga_s2am_ard_3-2-1_52JFQ_2023-03-12_final.stac-item
2023-03-13 10:32:33	ga_s2am_ard_3-2-1_53KQU_2023-03-13_final.stac-item
2023-03-13 10:32:46	ga_s2am_ard_3-2-1_53KRT_2023-03-13_final.stac-item
2023-03-13 10:32:58	ga_s2am_ard_3-2-1_54KTB_2023-03-13_final.stac-item
2023-03-13 10:33:24	ga_s2am_ard_3-2-1_54KUV_2023-03-13_final.stac-item
2023-03-13 10:34:10	ga_s2am_ard_3-2-1_53JNN_2023-03-13_final.stac-item
2023-03-14 10:03:39	ga_s2am_ard_3-2-1_54KYU_2023-03-14_final.stac-item
2023-03-14 10:04:04	ga_s2am_ard_3-2-1_55JBM_2023-03-14_final.stac-item
2023-03-14 10:04:15	ga_s2am_ard_3-2-1_55JCL_2023-03-14_final.stac-item
2023-03-14 10:04:29	ga_s2am_ard_3-2-1_54JXR_2023-03-14_final.stac-item
2023-03-14 11:43:33	ga_s2am_ard_3-2-1_50KQB_2023-03-14_final.stac-item
2023-03-14 11:44:07	ga_s2am_ard_3-2-1_50KPV_2023-03-14_final.stac-item
2023-03-15 11:14:06	ga_s2am_ard_3-2-1_51KZP_2023-03-15_final.stac-item
2023-03-15 11:14:26	ga_s2am_ard_3-2-1_51JYN_2023-03-15_final.stac-item
2023-03-15 11:15:09	ga_s2am_ard_3-2-1_52JDP_2023-03-15_final.stac-item
2023-03-16 10:41:51	ga_s2am_ard_3-2-1_54KTF_2023-03-16_final.stac-item
2023-03-16 10:42:59	ga_s2am_ard_3-2-1_53KQS_2023-03-16_final.stac-item
2023-03-16 10:43:12	ga_s2am_ard_3-2-1_53KQR_2023-03-16_final.stac-item
2023-03-16 10:43:22	ga_s2am_ard_3-2-1_53KQQ_2023-03-16_final.stac-item
2023-03-16 10:43:35	ga_s2am_ard_3-2-1_53KNQ_2023-03-16_final.stac-item
2023-03-16 10:43:49	ga_s2am_ard_3-2-1_53KNP_2023-03-16_final.stac-item
2023-03-16 10:44:18	ga_s2am_ard_3-2-1_53JNM_2023-03-16_final.stac-item
2023-03-17 10:12:53	ga_s2am_ard_3-2-1_54KXB_2023-03-17_final.stac-item
2023-03-17 10:13:24	ga_s2am_ard_3-2-1_54KXV_2023-03-17_final.stac-item
2023-03-17 10:13:49	ga_s2am_ard_3-2-1_54JYT_2023-03-17_final.stac-item
2023-03-17 10:14:45	ga_s2am_ard_3-2-1_54JYP_2023-03-17_final.stac-item
2023-03-17 10:16:11	ga_s2am_ard_3-2-1_54HVJ_2023-03-17_final.stac-item
2023-03-17 11:53:43	ga_s2am_ard_3-2-1_50KQA_2023-03-17_final.stac-item
2023-03-18 09:45:24	ga_s2am_ard_3-2-1_55JDG_2023-03-18_final.stac-item
2023-03-18 09:45:30	ga_s2am_ard_3-2-1_56HKK_2023-03-18_final.stac-item
2023-03-18 09:46:15	ga_s2am_ard_3-2-1_55HGB_2023-03-18_final.stac-item
2023-03-18 11:21:06	ga_s2am_ard_3-2-1_52LEK_2023-03-18_final.stac-item
2023-03-18 11:24:49	ga_s2am_ard_3-2-1_51JYL_2023-03-18_final.stac-item
2023-03-25 11:12:27	ga_s2am_ard_3-2-1_52KFE_2023-03-25_final.stac-item
2023-03-25 11:12:30	ga_s2am_ard_3-2-1_52KEE_2023-03-25_final.stac-item
2023-03-25 11:15:11	ga_s2am_ard_3-2-1_52JDP_2023-03-25_final.stac-item
2023-03-26 10:42:30	ga_s2am_ard_3-2-1_53KQU_2023-03-26_final.stac-item
2023-03-26 10:42:54	ga_s2am_ard_3-2-1_53KPS_2023-03-26_final.stac-item
2023-03-26 10:43:03	ga_s2am_ard_3-2-1_53KPS_2023-03-26_final.stac-item
2023-03-26 10:43:17	ga_s2am_ard_3-2-1_53KPR_2023-03-26_final.stac-item
2023-03-26 10:43:32	ga_s2am_ard_3-2-1_53KPQ_2023-03-26_final.stac-item
2023-03-26 10:43:44	ga_s2am_ard_3-2-1_53KLQ_2023-03-26_final.stac-item
2023-03-26 10:43:50	ga_s2am_ard_3-2-1_53KNP_2023-03-26_final.stac-item
2023-03-26 10:43:53	ga_s2am_ard_3-2-1_53KMP_2023-03-26_final.stac-item
2023-03-27 10:13:03	ga_s2am_ard_3-2-1_55KBR_2023-03-27_final.stac-item
2023-03-27 10:14:04	ga_s2am_ard_3-2-1_54JVT_2023-03-27_final.stac-item
2023-03-29 10:52:13	ga_s2am_ard_3-2-1_53KKA_2023-03-29_final.stac-item
2023-03-29 10:52:24	ga_s2am_ard_3-2-1_53KLV_2023-03-29_final.stac-item
2023-03-29 10:52:27	ga_s2am_ard_3-2-1_53KKV_2023-03-29_final.stac-item
2023-03-30 10:23:01	ga_s2am_ard_3-2-1_54KUB_2023-03-30_final.stac-item
2023-03-30 10:24:10	ga_s2am_ard_3-2-1_54JVS_2023-03-30_final.stac-item
2023-03-31 09:58:22	ga_s2am_ard_3-2-1_55GCP_2023-03-31_final.stac-item
2023-04-01 11:02:09	ga_s2am_ard_3-2-1_53KKA_2023-04-01_final.stac-item
2023-04-02 10:31:04	ga_s2am_ard_3-2-1_54LTK_2023-04-02_nrt.stac-item
2023-04-02 10:31:08	ga_s2am_ard_3-2-1_53LRE_2023-04-02_nrt.stac-item
2023-04-04 09:33:39	ga_s2am_ard_3-2-1_56JPS_2023-04-04_nrt.stac-item
2023-04-09 12:02:56	ga_s2am_ard_3-2-1_50KNE_2023-04-09_nrt.stac-item
2023-08-21 11:41:23	ga_s2am_ard_3-2-1_51LXE_2023-08-21_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

All years