نتایج جستجو برای: homand absard rangeland researchstation

تعداد نتایج: 2805  

Journal: :Crop, Forage & Turfgrass Management 2015

Journal: :International Soil and Water Conservation Research 2021

Journal: :Journal of Range Management 1981

Journal: :Journal of Range Management 1976

Journal: :Remote Sensing 2017
Anne Schucknecht Michele Meroni François Kayitakire Amadou Boureima

Livestock plays an important economic role in Niger, especially in the semi-arid regions, while being highly vulnerable as a result of the large inter-annual variability of precipitation and, hence, rangeland production. This study aims to support effective rangeland management by developing an approach for mapping rangeland biomass production. The observed spatiotemporal variability of biomass...

Journal: :Remote Sensing 2016
Donald C. Wehlage John A. Gamon Donnette R. Thayer David V. Hildebrand

Remote sensing is often used to assess rangeland condition and biophysical parameters across large areas. In particular, the relationship between the Normalized Difference Vegetation Index (NDVI) and above-ground biomass can be used to assess rangeland primary productivity (seasonal carbon gain or above-ground biomass “yield”). We evaluated the NDVI–yield relationship for a southern Alberta pra...

Journal: :Rangeland Journal 2023

Increasing shrub density hinders cattle raising in central Argentina rangelands. While roller-chopping and hand-cutting are used to remove shrubs make land accessible for grazing, studies on the effects of these practices ecosystem composition, structure functioning scarce. We assessed impact removal (a) vegetation cover, species richness diversity (b) green biomass seasonal phenological dynami...

Journal: :journal of rangeland science 2013
moslem hadidi ali ariapour marzban faramarzi

the major aim of processing satellite images is to prepare topical and effectivemaps. the selection of appropriate classification methods plays an important role. amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. in present study, tm images of 1987, and etm+ images of 2000 and 2006were analyzed using artificial fuzzy artmap neural netwo...

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