Search ga_s2bm_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
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_54HYG_2018-01-01_final
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_54HYH_2018-01-01_final
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_51HTC_2018-01-01_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_54HVG_2018-01-04_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_54HYG_2018-01-04_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_54JXM_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JPQ_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JPR_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JQQ_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JQR_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JNR_2018-01-04_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52KDB_2018-01-05_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54HXJ_2018-01-07_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54JXM_2018-01-07_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JNP_2018-01-07_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JNS_2018-01-07_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JMN_2018-01-07_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLQ_2018-01-10_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_54HYH_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JUK_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50JQN_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JUL_2018-01-11_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54HXJ_2018-01-14_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54JWM_2018-01-14_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54JXM_2018-01-14_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNP_2018-01-14_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JPR_2018-01-14_final
2018-01-17 10:11:24	ga_s2bm_ard_3-2-1_54HWJ_2018-01-17_final
2018-01-17 10:11:24	ga_s2bm_ard_3-2-1_54JWM_2018-01-17_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JNN_2018-01-17_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLS_2018-01-17_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JMN_2018-01-17_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-01-20_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXM_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JNN_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPQ_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPP_2018-01-24_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JWF_2018-01-25_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JXG_2018-01-25_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52JBT_2018-01-25_final
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54HVG_2018-01-27_final
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54HWJ_2018-01-27_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JNR_2018-01-27_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JXJ_2018-01-28_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JYJ_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVF_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVH_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JEN_2018-02-01_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JCN_2018-02-01_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JCR_2018-02-01_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51LUE_2018-02-03_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_52JDS_2018-02-04_final
2018-02-06 10:11:24	ga_s2bm_ard_3-2-1_54JZT_2018-02-06_final
2018-02-06 10:11:24	ga_s2bm_ard_3-2-1_54KWA_2018-02-06_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPP_2018-02-06_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JWK_2018-02-07_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JXL_2018-02-07_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54KVA_2018-02-09_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54KVV_2018-02-09_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54KXA_2018-02-09_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52JDP_2018-02-11_final
2018-02-16 10:06:57	ga_s2bm_ard_3-2-1_54KXA_2018-02-16_final
2018-02-16 10:06:57	ga_s2bm_ard_3-2-1_54KYC_2018-02-16_final
2018-02-19 10:16:58	ga_s2bm_ard_3-2-1_54KVA_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50KLB_2018-02-19_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52JCN_2018-02-24_final
2018-02-26 10:11:23	ga_s2bm_ard_3-2-1_54KWA_2018-02-26_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JYH_2018-02-27_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54KXF_2018-03-01_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JTH_2018-03-02_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54JUT_2018-03-04_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54KVF_2018-03-04_final
2018-03-08 10:06:54	ga_s2bm_ard_3-2-1_54HWH_2018-03-08_final
2018-03-08 10:06:54	ga_s2bm_ard_3-2-1_54HWJ_2018-03-08_final
2018-03-08 10:06:54	ga_s2bm_ard_3-2-1_54KYF_2018-03-08_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JGQ_2018-03-10_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVF_2018-03-11_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HYG_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HYH_2018-03-12_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51JTJ_2018-03-12_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51JVH_2018-03-12_final
2018-03-13 10:57:07	ga_s2bm_ard_3-2-1_52LGH_2018-03-13_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_54KUV_2018-03-14_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51JTL_2018-03-15_final
2018-03-18 10:06:57	ga_s2bm_ard_3-2-1_54HWJ_2018-03-18_final
2018-03-18 10:06:57	ga_s2bm_ard_3-2-1_54HXJ_2018-03-18_final
2018-03-18 10:06:57	ga_s2bm_ard_3-2-1_54JWM_2018-03-18_final
2018-03-18 10:16:09	ga_s2bm_ard_3-2-1_54HVG_2018-03-18_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54JUM_2018-03-21_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLR_2018-03-21_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_54HYH_2018-03-22_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51JVK_2018-03-22_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_54HWJ_2018-03-25_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_54JWM_2018-03-25_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_54JXM_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JQL_2018-03-25_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_54JWL_2018-03-28_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_54JXM_2018-03-28_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_54KXE_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JWK_2018-03-29_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years