نتایج جستجو برای: cover map

تعداد نتایج: 298973  

Knowledge of rangeland vegetation characteristics as well as factors affecting it in environmental planning, land management and sustainable development is very important. However, regional and up-to-date maps of pasture vegetation cover are not always available. In this study, in order to plot the vegetation cover percentage of the rangelands and monitor its changes in drought and wet periods,...

2017
T. Tormos P. Kosuth S. Durrieu B. Villeneuve J. G. Wasson

The aim of this paper is to demonstrate the interest of High Spatial Resolution Imagery (HSRI) and the limits of coarse land cover data such as CORINE Land Cover (CLC), for the accurate characterization of land cover structure along river corridors and of its functional links with freshwater ecological status on a large scale. For this purpose, we compared several spatial indicators built from ...

2008
Olli Jaakkola

The problem of generalizing spatial data is studied in the context of land cover data. The theory behind automatic generalization is reviewed and a raster based deterministic iterative generalization method is proposed. The methodology is based on the Map Algebra. The multivariate statistical testing methods are extended to deal also with generalized land cover data. The case study is related t...

2015
Florian Reimer Gregory P Asner Shijo Joseph

Conservation and monitoring of tropical forests requires accurate information on their extent and change dynamics. Cloud cover, sensor errors and technical barriers associated with satellite remote sensing data continue to prevent many national and sub-national REDD+ initiatives from developing their reference deforestation and forest degradation emission levels. Here we present a framework for...

2003
Teerasit Kasetkasem Manoj K. Arora Pramod K. Varshney

Occurrence of mixed pixels in remote sensing images is a common phenomenon particularly in coarse spatial resolution images. In these cases, sub-pixel or soft classification may be preferred over conventional hard classification. However, sub-pixel classification fails to account for the spatial distribution of class proportions within the pixel. A better approach may be to generate a land cove...

2006
G. M. Smith

The United Kingdom (UK) undertakes a survey of its countryside which have been accompanied by national land cover maps derived from Earth Observation data which have exploited leading edge analysis methods of the day. The Land Cover Map of Great Britain, in 1990 was a relatively simple pixel-based classification while the Land cover Map 2000 adopted an object-based approach. The objects, land p...

2005
Fedor Bogomolov Bruno De Oliveira

Let X be a projective manifold, ρ : X̃ → X its universal covering and ρ∗ : V ect(X) → V ect(X̃) the pullback map for the isomorphism classes of vector bundles. This article establishes a connection between the properties of the pullback map ρ∗ and the properties of the function theory on X̃. We prove the following pivotal result: if a universal cover of a projective variety has no nonconstant holo...

Journal: :مرتع و آبخیزداری 0
الهام السادات ابریشم ابریشم دکتری بیابان‏ زدایی، دانشکدة منابع طبیعی دانشگاه تهران سادات فیض نیا استاد دانشکدة منابع طبیعی دانشگاه تهران

the derakhte senged area is located in south of neishaboor town at khorasan razavi province. in this research, desertification intensity of derakht senged area was evaluated using imdpa, one of the newest method to assess desertification potential in arid and semi arid regions of iran. to evaluate desertification intensity, based on the primary research in this area, 4 criteria were selected in...

2009
INDIRA CHATTERJI GUIDO MISLIN

We define a transfer map in the setting of bounded cohomology with certain metric G-module coefficients. As an application, we extend a theorem on the comparison map from Borelbounded to Borel cohomology (cf. [1]), to cover the case of Lie groups with finitely many connected components.

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید