t.rast.accdetectgrass - Online in the Cloud

PROGRAMMA:

NOME

t.rast.accdetect - Detects accumulation patterns in temporally accumulated space time
raster datasets created by t.rast.accumulate.

PAROLE CHIAVE

temporale, accumulazione, raster, tempo

SINOSSI

t.rast.accdetect
t.rast.accdetect --Aiuto
t.rast.accdetect [-nr] ingresso=Nome [ordine=Nome] [massimo=Nome] evento=Nome
[indicatore=Nome] inizia a=stringa [Fermati=stringa] ciclo=stringa [offset=stringa]
nome di base=stringa [gamma=minimo Massimo] [staend=start,intermediate,end] [--sovrascrivere]
[--Aiuto] [--verboso] [--silenzioso] [--ui]

Bandiere:
-n
Registra mappe vuote nel set di dati raster spazio-tempo di output, altrimenti lo saranno
cancellato

-r
Inverti la direzione del tempo nell'accumulo ciclico

--sovrascrivi
Consenti ai file di output di sovrascrivere i file esistenti

--Aiuto
Riepilogo utilizzo stampa

--verboso
Uscita modulo dettagliata

--silenzioso
Uscita modulo silenzioso

--ui
Forza l'avvio della finestra di dialogo GUI

parametri:
ingresso=Nome [necessario]
Nome del set di dati raster spazio-tempo di input

ordine=Nome
Input space time raster dataset that specifies the minimum values to detect the
modello di accumulazione

massimo=Nome
Input space time raster dataset that specifies the maximum values to detect the
modello di accumulazione

evento=Nome [necessario]
The output space time raster dataset that stores the occurrence of the the
accumulation pattern using the provided data range

indicatore=Nome
The output space time raster dataset that stores the indication of the start,
intermediate and end of the specified data range

inizia a=stringa [necessario]
Il punto di partenza temporale per iniziare l'accumulo, ad es. '2001-01-01'

Fermati=stringa
La data temporale per interrompere l'accumulo, ad es. '2009-01-01'

ciclo=stringa [necessario]
Il ciclo temporale per riavviare l'accumulo, ad es. '12 mesi'

offset=stringa
L'offset temporale all'inizio del ciclo successivo, ad es. '6 mesi'

nome di base=stringa [necessario]
Nome di base delle nuove mappe di output generate
Verrà allegato un suffisso numerico separato da un carattere di sottolineatura per creare un unico
identificatore

gamma=minimo Massimo
The minimum and maximum value of the occurrence of accumulated values, these values
will be used if the min/max space time raster datasets are not specified

staend=start,intermediate,end
The user defined values that indicate start, intermediate and end status in the
indicator output space time raster dataset
Predefinito: 1,2,3

DESCRIZIONE

t.rast.accdetect is designed to detect accumulation pattern in temporally accumulated
space time raster datasets created by t.rast.accumulate. This module expects a space time
raster dataset as input that is the result of a t.rast.accumulate run.

. inizia a il tempo e il fine time of the pattern detection process must be set, eg.
inizio="2000-03-01" fine="2011-01-01". inizia a e fine time do not need to be the same as
for the accumulation run that produced the input space time raster dataset. In addition a
ciclo, eg. "8 months", can be specified, that defines after which time interval the
accumulation pattern detection process restarts. The offset option specifies the time
between two cycles that should be skipped, eg. "4 months". Please make sure that the ciclo
e offset options are same as in the accumulation process that produces the input space
time raster dataset, otherwise the accumulation pattern detection will produce wrong
risultati.

. ordine e massimo values of the pattern detection process can be set, either by
using space time raster datasets or by using fixed values for all raster cells and time
gradini.

Using space time raster datasets allow specifying minimum and maximum values for each
raster cell and each time step. For example, we want to detect the germination (minimum
value) and harvesting (maximum value) dates for different crops in Germany using the
growing-degree-day (GDD) method for several years. Different crops may grow in different
raster cells and change with time because of crop rotation. Hence we need to specify
different GDD germination/harvesting (minimum/maximum) values for different raster cells
and different years.

The raster maps that specifies the minimum and maximum values of the actual granule will
be detected using the following temporal relations: equals, during, overlaps, overlapped
and contains. First all maps with equal time stamps to the current granule of the input
STRDS will be detected, the first minimum map and the first maximum map that were found
are used as range definitions. If no equal maps are found then maps with a temporal during
relation are detected, then maps that temporally overlap the actual granules, until maps
are detected that have a temporal contain relation. If no maps are found or
minimum/maximum STRDS are not set, then the gamma viene utilizzata l'opzione, ad es. range=480,730.

. base name of of the generated maps must always be set.

This module produces two output space time raster datasets. The evento output STRDS
stores the time in days from the begin of a cycle for each raster cell and time step that
has a value within the minimum and maximum definition. These values can be used to compute
the duration of the recognized accumulation pattern. The indicatore output STRDS uses three
values, that can be set using the staend option, to mark raster cells with integer values
that indicate the start, the intermediate state and the end of a accumulation pattern. As
default specifies the value 1 the start, the value 2 the intermediate state and the value
3 the end of the accumulation pattern in a cycle.

ESEMPIO

Please have a look at the t.rast.accumulate example.

Use t.rast.accdetectgrass online using onworks.net services