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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
2023-05-12 12:14:30	ga_s2am_ard_3-2-1_49JHN_2023-05-12_final.stac-item
2023-05-14 11:16:28	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-15 10:40:28	ga_s2am_ard_3-2-1_53LPH_2023-05-15_final.stac-item
2023-05-15 10:40:45	ga_s2am_ard_3-2-1_53LQG_2023-05-15_final.stac-item
2023-05-15 10:40:45	ga_s2am_ard_3-2-1_53LQF_2023-05-15_final.stac-item
2023-05-15 10:40:52	ga_s2am_ard_3-2-1_53LQF_2023-05-15_final.stac-item
2023-05-15 10:41:24	ga_s2am_ard_3-2-1_53LPD_2023-05-15_final.stac-item
2023-05-15 10:41:46	ga_s2am_ard_3-2-1_53KRB_2023-05-15_final.stac-item
2023-05-15 10:41:54	ga_s2am_ard_3-2-1_54KTF_2023-05-15_final.stac-item
2023-05-15 10:42:00	ga_s2am_ard_3-2-1_53KRA_2023-05-15_final.stac-item
2023-05-15 10:42:04	ga_s2am_ard_3-2-1_53KQA_2023-05-15_final.stac-item
2023-05-15 10:42:07	ga_s2am_ard_3-2-1_53KPA_2023-05-15_final.stac-item
2023-05-15 10:42:48	ga_s2am_ard_3-2-1_53KNT_2023-05-15_final.stac-item
2023-05-15 10:43:02	ga_s2am_ard_3-2-1_53KQS_2023-05-15_final.stac-item
2023-05-15 10:43:12	ga_s2am_ard_3-2-1_53KMS_2023-05-15_final.stac-item
2023-05-15 10:43:20	ga_s2am_ard_3-2-1_53KPR_2023-05-15_final.stac-item
2023-05-15 10:43:59	ga_s2am_ard_3-2-1_53KLP_2023-05-15_final.stac-item
2023-05-15 10:44:21	ga_s2am_ard_3-2-1_53JNM_2023-05-15_final.stac-item
2023-05-15 10:44:36	ga_s2am_ard_3-2-1_53JNL_2023-05-15_final.stac-item
2023-05-15 10:44:39	ga_s2am_ard_3-2-1_53JML_2023-05-15_final.stac-item
2023-05-15 10:44:48	ga_s2am_ard_3-2-1_53JKL_2023-05-15_final.stac-item
2023-05-15 10:44:54	ga_s2am_ard_3-2-1_53JMK_2023-05-15_final.stac-item
2023-05-15 10:45:12	ga_s2am_ard_3-2-1_53JLJ_2023-05-15_final.stac-item
2023-05-15 10:46:13	ga_s2am_ard_3-2-1_53HKE_2023-05-15_final.stac-item
2023-05-16 10:11:02	ga_s2am_ard_3-2-1_55LCD_2023-05-16_final.stac-item
2023-05-16 10:11:05	ga_s2am_ard_3-2-1_54LYK_2023-05-16_final.stac-item
2023-05-16 10:11:24	ga_s2am_ard_3-2-1_55LBC_2023-05-16_final.stac-item
2023-05-16 10:11:38	ga_s2am_ard_3-2-1_55KBB_2023-05-16_final.stac-item
2023-05-16 10:11:43	ga_s2am_ard_3-2-1_54KYG_2023-05-16_final.stac-item
2023-05-16 10:11:49	ga_s2am_ard_3-2-1_55KCA_2023-05-16_final.stac-item
2023-05-16 10:11:53	ga_s2am_ard_3-2-1_55KBA_2023-05-16_final.stac-item
2023-05-16 10:12:04	ga_s2am_ard_3-2-1_55KCV_2023-05-16_final.stac-item
2023-05-16 10:12:26	ga_s2am_ard_3-2-1_54KYD_2023-05-16_final.stac-item
2023-05-16 10:12:41	ga_s2am_ard_3-2-1_54KYC_2023-05-16_final.stac-item
2023-05-16 10:12:44	ga_s2am_ard_3-2-1_54KXC_2023-05-16_final.stac-item
2023-05-16 10:12:51	ga_s2am_ard_3-2-1_55KBS_2023-05-16_final.stac-item
2023-05-16 10:12:51	ga_s2am_ard_3-2-1_54KZB_2023-05-16_final.stac-item
2023-05-16 10:13:01	ga_s2am_ard_3-2-1_55KBR_2023-05-16_final.stac-item
2023-05-16 10:13:04	ga_s2am_ard_3-2-1_54KXB_2023-05-16_final.stac-item
2023-05-16 10:13:06	ga_s2am_ard_3-2-1_54KWB_2023-05-16_final.stac-item
2023-05-16 10:13:07	ga_s2am_ard_3-2-1_55KBR_2023-05-16_final.stac-item
2023-05-16 10:13:20	ga_s2am_ard_3-2-1_54KZV_2023-05-16_final.stac-item
2023-05-16 10:13:38	ga_s2am_ard_3-2-1_54KYU_2023-05-16_final.stac-item
2023-05-16 10:13:42	ga_s2am_ard_3-2-1_54KXU_2023-05-16_final.stac-item
2023-05-16 10:13:45	ga_s2am_ard_3-2-1_55JBN_2023-05-16_final.stac-item
2023-05-16 10:13:45	ga_s2am_ard_3-2-1_54KWU_2023-05-16_final.stac-item
2023-05-16 10:14:06	ga_s2am_ard_3-2-1_54JVT_2023-05-16_final.stac-item
2023-05-16 10:14:18	ga_s2am_ard_3-2-1_54JVS_2023-05-16_final.stac-item
2023-05-16 10:14:36	ga_s2am_ard_3-2-1_54JYQ_2023-05-16_final.stac-item
2023-05-16 10:14:40	ga_s2am_ard_3-2-1_54JXQ_2023-05-16_final.stac-item
2023-05-16 10:14:48	ga_s2am_ard_3-2-1_54JYP_2023-05-16_final.stac-item
2023-05-16 10:14:58	ga_s2am_ard_3-2-1_54JWP_2023-05-16_final.stac-item
2023-05-16 10:15:01	ga_s2am_ard_3-2-1_54JVP_2023-05-16_final.stac-item
2023-05-16 10:15:13	ga_s2am_ard_3-2-1_54JWN_2023-05-16_final.stac-item
2023-05-16 10:15:16	ga_s2am_ard_3-2-1_54JVN_2023-05-16_final.stac-item
2023-05-16 10:15:33	ga_s2am_ard_3-2-1_54JUM_2023-05-16_final.stac-item
2023-05-16 10:16:10	ga_s2am_ard_3-2-1_54HWJ_2023-05-16_final.stac-item
2023-05-16 10:16:17	ga_s2am_ard_3-2-1_54HUJ_2023-05-16_final.stac-item
2023-05-16 10:16:25	ga_s2am_ard_3-2-1_54HWH_2023-05-16_final.stac-item
2023-05-16 10:16:43	ga_s2am_ard_3-2-1_54HVG_2023-05-16_final.stac-item
2023-05-16 10:16:58	ga_s2am_ard_3-2-1_54HVF_2023-05-16_final.stac-item
2023-05-16 10:17:04	ga_s2am_ard_3-2-1_54HTF_2023-05-16_final.stac-item
2023-05-16 10:17:30	ga_s2am_ard_3-2-1_54HUD_2023-05-16_final.stac-item
2023-05-16 10:17:38	ga_s2am_ard_3-2-1_54HVC_2023-05-16_final.stac-item
2023-05-16 11:53:00	ga_s2am_ard_3-2-1_50KRD_2023-05-16_final.stac-item
2023-05-16 11:53:18	ga_s2am_ard_3-2-1_50KQC_2023-05-16_final.stac-item
2023-05-16 11:54:01	ga_s2am_ard_3-2-1_50KQV_2023-05-16_final.stac-item
2023-05-16 11:54:20	ga_s2am_ard_3-2-1_50KPU_2023-05-16_final.stac-item
2023-05-16 11:54:24	ga_s2am_ard_3-2-1_50JQT_2023-05-16_final.stac-item
2023-05-16 11:54:34	ga_s2am_ard_3-2-1_50KLU_2023-05-16_final.stac-item
2023-05-16 11:54:38	ga_s2am_ard_3-2-1_50JNT_2023-05-16_final.stac-item
2023-05-16 11:54:41	ga_s2am_ard_3-2-1_50JMT_2023-05-16_final.stac-item
2023-05-16 11:54:45	ga_s2am_ard_3-2-1_50JLT_2023-05-16_final.stac-item
2023-05-16 11:54:49	ga_s2am_ard_3-2-1_50JPS_2023-05-16_final.stac-item
2023-05-16 11:54:56	ga_s2am_ard_3-2-1_50JMS_2023-05-16_final.stac-item
2023-05-16 11:55:03	ga_s2am_ard_3-2-1_50JPR_2023-05-16_final.stac-item
2023-05-16 11:55:10	ga_s2am_ard_3-2-1_50JMR_2023-05-16_final.stac-item
2023-05-16 11:55:14	ga_s2am_ard_3-2-1_50JLR_2023-05-16_final.stac-item
2023-05-16 11:55:27	ga_s2am_ard_3-2-1_50JPP_2023-05-16_final.stac-item
2023-05-16 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2023-05-16_final.stac-item
2023-05-16 11:55:36	ga_s2am_ard_3-2-1_50JNP_2023-05-16_final.stac-item
2023-05-16 11:55:43	ga_s2am_ard_3-2-1_50JLP_2023-05-16_final.stac-item
2023-05-16 11:55:54	ga_s2am_ard_3-2-1_50JMN_2023-05-16_final.stac-item
2023-05-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2023-05-16_final.stac-item
2023-05-16 11:56:05	ga_s2am_ard_3-2-1_50JNM_2023-05-16_final.stac-item
2023-05-16 11:56:15	ga_s2am_ard_3-2-1_50JKM_2023-05-16_final.stac-item
2023-05-16 11:56:19	ga_s2am_ard_3-2-1_50JNL_2023-05-16_final.stac-item
2023-05-16 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-16_final.stac-item
2023-05-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2023-05-16_final.stac-item
2023-05-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2023-05-16_final.stac-item
2023-05-16 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2023-05-16_final.stac-item
2023-05-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2023-05-16_final.stac-item
2023-05-25 10:40:49	ga_s2am_ard_3-2-1_54LTL_2023-05-25_nrt.stac-item
2023-05-25 10:41:18	ga_s2am_ard_3-2-1_54LTJ_2023-05-25_nrt.stac-item
2023-05-26 10:10:12	ga_s2am_ard_3-2-1_55LEG_2023-05-26_nrt.stac-item
2023-05-26 10:17:37	ga_s2am_ard_3-2-1_53HQU_2023-05-26_nrt.stac-item
2023-05-26 10:17:42	ga_s2am_ard_3-2-1_53HPU_2023-05-26_nrt.stac-item
2023-05-26 10:17:43	ga_s2am_ard_3-2-1_53HQT_2023-05-26_nrt.stac-item
2023-05-26 11:52:32	ga_s2am_ard_3-2-1_50KNG_2023-05-26_nrt.stac-item
2023-05-26 11:52:33	ga_s2am_ard_3-2-1_51KTA_2023-05-26_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

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