. . . . "[6D56668A66E4]" . "Variability of Bare Soil from Selected Parts of the South Moravian Region Based on Remote Sensing Data"@en . "Mendelova zem\u011Bd\u011Blsk\u00E1 a lesnick\u00E1 univerzita v Brn\u011B" . "Variabilita hol\u00E9 p\u016Fdy vybran\u00FDch \u010D\u00E1st\u00ED Jihomoravsk\u00E9ho kraje na podklad\u011B dat D\u00E1lkov\u00E9ho pr\u016Fzkumu Zem\u011B" . "RIV/62156489:43410/13:00210362" . "Agriculture; Variability; Remote Sensing-RS"@en . . "Variabilita hol\u00E9 p\u016Fdy vybran\u00FDch \u010D\u00E1st\u00ED Jihomoravsk\u00E9ho kraje na podklad\u011B dat D\u00E1lkov\u00E9ho pr\u016Fzkumu Zem\u011B"@cs . "SilvaNet - WoodNet 2013" . "Jako vstup byly pou\u017Eity 4 sn\u00EDmky (po\u0159\u00EDzen\u00E9 v obdob\u00ED b\u0159ezen 2012, duben 2012 a z\u00E1\u0159\u00ED2012) zachycuj\u00EDc\u00ED 1100 km2 Jihomoravsk\u00E9ho kraje z dru\u017Eice RapidEye. U zm\u00EDn\u011Bn\u00FDch term\u00EDn\u016F byl p\u0159edpoklad nejv\u011Bt\u0161\u00EDho v\u00FDskytu hol\u00E9 p\u016Fdy p\u0159ed za\u010D\u00E1tkem vegeta\u010Dn\u00EDho obdob\u00ED (b\u0159ezen a duben) a po sklizni (z\u00E1\u0159\u00ED). Jedn\u00E1 se o data s rozli\u0161en\u00EDm 6,5 m radiometrick\u00FDmi a z\u00E1kladn\u00EDmi geometrick\u00FDmi korekcemi s p\u00E1smy z oblasti VIS , NIR a Red Edge.Histogramy ve sloupc\u00EDch zachycuj\u00ED v\u00FDvoj varia\u010Dn\u00EDho koeficientu na p\u0159ibli\u017En\u011B stejn\u00FDch \u00FAzem\u00EDch Jihomoravsk\u00E9ho kraje. Data Vx z\u00EDskan\u00E1 z b\u0159eznov\u00E9ho sn\u00EDmku maj\u00ED t\u00E9m\u011B\u0159 norm\u00E1ln\u00ED rozd\u011Blen\u00ED. Zji\u0161t\u011Bn\u00FD pr\u016Fm\u011Br t\u011Bchto dat je v\u0161ak o 0,6 vy\u0161\u0161\u00ED, co\u017E zna\u010D\u00ED m\u00EDrn\u011B pozitivn\u00ED levostrannou distribuci. Variabilita t\u011Bchto dat je vysok\u00E1. Z pohledu klasick\u00E9 statistiky se jedn\u00E1 o extr\u00E9mn\u011B rozpt\u00FDlen\u00FD soubor. Ber\u00E1nek a Klement (2007) pova\u017Euj\u00ED za siln\u011B nevyrovnanou jakoukoliv p\u016Fdu, u kter\u00E9 je varia\u010Dn\u00ED koeficient vybran\u00E9 agrochemick\u00E9 vlastnosti zkouman\u00E9 p\u016Fdy v\u011Bt\u0161\u00ED ne\u017E 50 %. Dal\u0161\u00ED t\u0159i sc\u00E9ny maj\u00ED levostrann\u00FD pozitivn\u011B ze\u0161ikmen\u00FD histogram s nadbytkem men\u0161\u00EDch hodnot. Z pohledu statistiky u t\u011Bchto dat jedn\u00E1 o slab\u011B rozpt\u00FDlen\u00E9 soubory, jeliko\u017E v\u011Bt\u0161ina dat je men\u0161\u00EDch ne\u017E 50%."@cs . "Variabilita hol\u00E9 p\u016Fdy vybran\u00FDch \u010D\u00E1st\u00ED Jihomoravsk\u00E9ho kraje na podklad\u011B dat D\u00E1lkov\u00E9ho pr\u016Fzkumu Zem\u011B" . . . "43410" . . . "Jako vstup byly pou\u017Eity 4 sn\u00EDmky (po\u0159\u00EDzen\u00E9 v obdob\u00ED b\u0159ezen 2012, duben 2012 a z\u00E1\u0159\u00ED2012) zachycuj\u00EDc\u00ED 1100 km2 Jihomoravsk\u00E9ho kraje z dru\u017Eice RapidEye. U zm\u00EDn\u011Bn\u00FDch term\u00EDn\u016F byl p\u0159edpoklad nejv\u011Bt\u0161\u00EDho v\u00FDskytu hol\u00E9 p\u016Fdy p\u0159ed za\u010D\u00E1tkem vegeta\u010Dn\u00EDho obdob\u00ED (b\u0159ezen a duben) a po sklizni (z\u00E1\u0159\u00ED). Jedn\u00E1 se o data s rozli\u0161en\u00EDm 6,5 m radiometrick\u00FDmi a z\u00E1kladn\u00EDmi geometrick\u00FDmi korekcemi s p\u00E1smy z oblasti VIS , NIR a Red Edge.Histogramy ve sloupc\u00EDch zachycuj\u00ED v\u00FDvoj varia\u010Dn\u00EDho koeficientu na p\u0159ibli\u017En\u011B stejn\u00FDch \u00FAzem\u00EDch Jihomoravsk\u00E9ho kraje. Data Vx z\u00EDskan\u00E1 z b\u0159eznov\u00E9ho sn\u00EDmku maj\u00ED t\u00E9m\u011B\u0159 norm\u00E1ln\u00ED rozd\u011Blen\u00ED. Zji\u0161t\u011Bn\u00FD pr\u016Fm\u011Br t\u011Bchto dat je v\u0161ak o 0,6 vy\u0161\u0161\u00ED, co\u017E zna\u010D\u00ED m\u00EDrn\u011B pozitivn\u00ED levostrannou distribuci. Variabilita t\u011Bchto dat je vysok\u00E1. Z pohledu klasick\u00E9 statistiky se jedn\u00E1 o extr\u00E9mn\u011B rozpt\u00FDlen\u00FD soubor. Ber\u00E1nek a Klement (2007) pova\u017Euj\u00ED za siln\u011B nevyrovnanou jakoukoliv p\u016Fdu, u kter\u00E9 je varia\u010Dn\u00ED koeficient vybran\u00E9 agrochemick\u00E9 vlastnosti zkouman\u00E9 p\u016Fdy v\u011Bt\u0161\u00ED ne\u017E 50 %. Dal\u0161\u00ED t\u0159i sc\u00E9ny maj\u00ED levostrann\u00FD pozitivn\u011B ze\u0161ikmen\u00FD histogram s nadbytkem men\u0161\u00EDch hodnot. Z pohledu statistiky u t\u011Bchto dat jedn\u00E1 o slab\u011B rozpt\u00FDlen\u00E9 soubory, jeliko\u017E v\u011Bt\u0161ina dat je men\u0161\u00EDch ne\u017E 50%." . . "Nov\u00E1k, Jaroslav" . "RIV/62156489:43410/13:00210362!RIV14-MSM-43410___" . "Brno" . . . . "S" . "1"^^ . "2013-01-01+01:00"^^ . "As an input were using 4 images (made in the period March 2012, April 2012 and September 2012) showing the 1100 km2 of the South Moravian Region from the RapidEye satellites. In these terms, the assumption of greatest occurrence of bare ground before the start of the growing season (March and April) and after harvest (September). This is the data with a resolution of 6.5 m radiometric and geometric corrections with the essential bands from the area VIS, NIR and Red Edge.Columns in histograms reports the evolution of the coefficient of variation at approximately the same in the South Moravian Region. Data obtained from the March image have almost normal distribution. The observed average of these data, however, is about 0.6 higher, indicating a slightly positive left hand distribution. The variability of the data is high. From the perspective of classical statistics is an extremely sparse file. Ber\u00E1nek and Klement (2007) consider a strongly unbalanced in any soil, in which the coefficient of variation of selected soil agrochemical properties surveyed is more than 50 %. Three more scenes have a left-hand positively skewed histogram with an excess of small values. In terms of statistics for these data is the weakly scattered files because most of the data is smaller than 50 %."@en . "Variability of Bare Soil from Selected Parts of the South Moravian Region Based on Remote Sensing Data"@en . . "Zem\u011Bd\u011Blsk\u00E1 1, Brno, 613 00" . "113619" . . "1"^^ . "2"^^ . "978-80-7375-903-2" . . "Variabilita hol\u00E9 p\u016Fdy vybran\u00FDch \u010D\u00E1st\u00ED Jihomoravsk\u00E9ho kraje na podklad\u011B dat D\u00E1lkov\u00E9ho pr\u016Fzkumu Zem\u011B"@cs .