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  • Other Sources  (11)
  • Getreide  (7)
  • Meteorology and Climatology  (4)
  • 1900-1904
  • 1
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    Unknown
    In:  Arb. deut. Landw. Gesell. 62:204.
    Publication Date: 1901
    Description: Frostschäden im Getreide und ihre Wirkung 1900-01 KATASTER-BESCHREIBUNG: KATASTER-DETAIL:
    Keywords: Deutschland ; Forst ; Getreide
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  • 2
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    In:  Deutsche Landwirtschaftliche Presse 31:494-495. Ausgabe vom 13. Juli 1904
    Publication Date: 1904
    Description: Ursachen für die Auswinterung von Getreide im Jahr 1901, Zusammenhang von Temperatur und Feuchtigkeit (Niederschlag) ist entscheidend KATASTER-BESCHREIBUNG: Einfluss der Witterung (Temperatur und Niederschlag) auf den Prozess der Auswinterung KATASTER-DETAIL: Delta T (Winter)+ und dann Delta Nied (Winter) +: Schneedecke 〉 15-20cm auf ungefrorenem Boden über ca. 3 Monate, dann Auswinterung (Ausfaulen) +; Entwicklung der Pflanze +, dann Auswinterung (Erstickungsgefahr) +; Boden feucht bzw. nass und häufiges gefrieren und wieder auftauen, dann Auswinterung (Auffrieren, Aufziehen) +; Delta T -: T 〈 -25 bis 30 °C, dann erfrieren des Roggens; Anzahl Kälteperioden im Winter +, dann Auswinterung +; Delta Nied (1. Hälfte des Vegetationsjahres) - und dann Delta Sonn +, dann Auswinterung +
    Keywords: Preußen, Norddeutschland ; 1900-1903 ; Boden ; Ertrag ; Forst ; Getreide ; Landwirtschaft ; Niederschlag ; Roggen ; Verdunstung ; Wassermangel ; Witterungsextreme ; Hackfrüchte
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  • 3
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    In:  Wetter 21: 205-211, 237-240
    Publication Date: 1904
    Description: Zusammenhang zwischen dem Niederschlag in den Wintermonaten, dem Bodenwassergehalt und dem Auswintern des Getreides, im Anhang Diskussion über den Zusammenhang der Witterung in Neu-Fundland und Norddeutschland und der Sonnenfleckenaktivität und Trockenheit KATASTER-BESCHREIBUNG: Einfluss des Niederschlags auf das Auswintern sowie Einfluss der Sonnenflecken auf die Witterung KATASTER-DETAIL: Delta Nied -, dann Auswintern +; Delta Sonnenflecken +, dann Witterung trocken;
    Keywords: Halle ; 1900-1903 ; Ertrag ; Getreide ; Niederschlag ; Temperatur
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  • 4
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    In:  Landwirtschaftliches Jahrbuch 32, Heft 1, p.1-68
    Publication Date: 1903
    Description: Untersuchung der Einflüsse der Temperatur auf Getreidepflanzen und pilzliche Schaderreger in Gewächshausversuchen und anhand von Freilandproben aus Berlin, Brandenburg und Posen KATASTER-BESCHREIBUNG: KATASTER-DETAIL:
    Keywords: Berlin, Brandenburg, Posen ; 1900-1902 ; Getreide ; Pflanzenkrankheit
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  • 5
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    In:  Zeitschrift für landw. Versuchswesen in Österreich, Wien, Pest, Leipzig A. Hartlebens Verlag, Heft 12:1073ff.
    Publication Date: 1901
    Description: Bedeutung der Witterungsfaktoren während der gesamten Vegetationszeit für die Kulturen, insb. der Witterungseinflüsse auf die Rüben KATASTER-BESCHREIBUNG: KATASTER-DETAIL:
    Keywords: Österreich ; 19. Jahrhundert ; Ertrag ; Getreide ; Vegetationsperiode ; Witterung ; Hackfrüchte
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  • 6
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    In:  Diederichs Leipzig.
    Publication Date: 1900
    Description: Landwirtschaft allgemein, Witterungserscheinungen in Zusammenhang mit Ernten KATASTER-BESCHREIBUNG: KATASTER-DETAIL:
    Keywords: Deutschland ; 15.-18. Jahrhundert ; Boden ; Ertrag ; Getreide ; Witterung
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  • 7
    Publication Date: 1902
    Description: Beschreibung des Einflusses der Wintertemperaturen 1902 auf die Entwicklung des Getreides und des Pilzes Cladosporium in der Region Posen KATASTER-BESCHREIBUNG: KATASTER-DETAIL:
    Keywords: Polen ; 1902 ; Getreide ; Pflanzenkrankheit
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  • 8
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    In:  Other Sources
    Publication Date: 2019-08-16
    Description: The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward and four cameras pointing aftward. It takes 7 minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally gaussian, centered at 443, 555, 670, and 865 nm. The RCCM is derived from the radiance values, and is calculated independently for each camera. Therefore, the amount of apparent cloudiness will vary with view angle, with the oblique view angles generally being more cloudy than the near-nadir ones. Since the RCCM is calculated primarily from the radiance values, it does not work well over snow and ice and will usually confuse clear snow/ice with cloud. It works the best over clear-sky ocean, but other surface types are also of quite good quality. The RCCM product also contains a glint mask for each camera, and this mask is set to true whenever the scattering angles indicate that glint could be possible. This glint mask is not masked out over land; users must do this step themselves. [Temporal_Coverage: Start_Date=2000-02-24; Stop_Date=] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180].
    Keywords: Meteorology and Climatology
    Format: text
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  • 9
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    In:  Other Sources
    Publication Date: 2019-08-16
    Description: The MISR Top-of-Atmosphere (TOA)/Cloud Stereo geophysical parameters include stereoscopically-derived cloud motion vectors (winds), cloud-top heights, and an accompanying cloud mask. The Stereo product geophysical parameters include a stereoscopically-derived cloud mask and cloud height on a 1.1 km grid. It also includes cloud motion vectors on a 70.4 km grid. The three types of stereo heights are: the BestWind heights are only calculated for those regions where the associated wind vectors passed the quality tests. Therefore, they have sparse coverage but since the wind correction is included, these contain our 'best guess' as to what the true heights are. The WithoutWind heights are calculated assuming a constant wind vector of zero. They have almost complete coverage and therefore form a nice 'pretty picture' of the relative cloud heights over small areas. The RawWind heights are a diagnostic product as they are calculated using all available wind vectors (even the bad ones). It is therefore recommended that one only use the Best and Without wind products. It is important to remember that the stereo matchers pick up the layer of maximum contrast, which is not necessarily the same as the highest cloud so all the stereo heights are keyed to this level of maximum contrast. Therefore, higher and thinner cirrus layers may not be detected by any of the height fields. [Temporal_Coverage: Start_Date=2000-02-24; Stop_Date=] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180] [Data_Resolution: Latitude_Resolution=1.1 km; Longitude_Resolution=1.1 km; Temporal_Resolution=about 15 orbits/day].
    Keywords: Meteorology and Climatology
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  • 10
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    In:  Other Sources
    Publication Date: 2019-08-16
    Description: The TOA/Cloud Classifiers contain the Angular Signature Cloud Mask (ASCM), a scene classifier calculated using support vector machine technology (SVM) both of which are on a 1.1 km grid, and cloud fractions at 17.6 km resolution that are available in different height bins (low, middle, high) and are also calculated on an angle-by-angle basis. [Temporal_Coverage: Start_Date=2000-02-24; Stop_Date=] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180] [Data_Resolution: Latitude_Resolution=1.1 km; Longitude_Resolution=1.1 km; Temporal_Resolution=about 15 orbits/day].
    Keywords: Meteorology and Climatology
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  • 11
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    In:  Other Sources
    Publication Date: 2019-08-15
    Description: The International Satellite Cloud Climatology Project (ISCCP) was established as the first project of the World Climate Research Programme (WCP-2) to collect and analyze satellite radiance measurements to infer the global distribution of cloud radiative properties and their diurnal and seasonal variations. The operational phase of ISCCP began in July 1983 and is currently planned to continue through June 2010. [Mission Objectives] To produce a global, reduced resolution, infrared and visible, calibrated and normalized radiance data set containing basic information on the radiative properties of the atmosphere from which cloud parameters can be derived. To stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models. To promote research using ISCCP data and contributing to improved understanding of the Earth's radiation budget (top of the atmosphere and surface) and hydrological cycle. [Temporal_Coverage: Start_Date=1983-07-01; Stop_Date=] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180].
    Keywords: Meteorology and Climatology
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