scholarly journals Land Cover/Use Dynamics and Vegetation Characteristics in the Rural District of Simiri (Tillabery Region, Niger)

10.5772/35335 ◽  
2012 ◽  
Author(s):  
Karim Saley ◽  
M. Zaman ◽  
Boub Morou ◽  
A. Mahamane ◽  
M. Saadou
Author(s):  
Ned Horning ◽  
Julie A. Robinson ◽  
Eleanor J. Sterling ◽  
Woody Turner ◽  
Sacha Spector

In terrestrial biomes, ecologists and conservation biologists commonly need to understand vegetation characteristics such as structure, primary productivity, and spatial distribution and extent. Fortunately, there are a number of airborne and satellite sensors capable of providing data from which you can derive this information. We will begin this chapter with a discussion on mapping land cover and land use. This is followed by text on monitoring changes in land cover and concludes with a section on vegetation characteristics and how we can measure these using remotely sensed data. We provide a detailed example to illustrate the process of creating a land cover map from remotely sensed data to make management decisions for a protected area. This section provides an overview of land cover classification using remotely sensed data. We will describe different options for conducting land cover classification, including types of imagery, methods and algorithms, and classification schemes. Land cover mapping is not as difficult as it may appear, but you will need to make several decisions, choices, and compromises regarding image selection and analysis methods. Although it is beyond the scope of this chapter to provide details for all situations, after reading it you will be able to better assess your own needs and requirements. You will also learn the steps to carry out a land cover classification project while gaining an appreciation for the image classification process. That said, if you lack experience with land cover mapping, it always wise to seek appropriate training and, if possible, collaborate with someone who has land cover mapping experience (Section 2.3). Although the terms “land cover” and “land use” are sometimes used interchangeably they are different in important ways. Simply put, land cover is what covers the surface of the Earth and land use describes how people use the land (or water). Examples of land cover classes are: water, snow, grassland, deciduous forest, or bare soil.


2018 ◽  
Author(s):  
Tanja de Boer-Euser ◽  
Leo-Juhani Meriö ◽  
Hannu Marttila

Abstract. The root zone storage capacity (Sr) of the vegetation is an important parameter for the hydrological behaviour of a catchment. Often this Sr is derived from soil and vegetation data, but a new method uses climate data to estimate Sr under the assumption that vegetation adapts its root zone capacity to overcome dry periods. This method also enables to account for the temporal variability of Sr in case of changing climate or land cover. This study applies the new method in 64 catchments in Finland to investigate the controls on Sr in boreal regions. The relations were assessed between climate derived Sr-values and detailed vegetation characteristics (leaf cover, tree length, root biomass), climate variables (precipitation-potential evaporation rate, mean annual temperature, max snow water equivalent, snow-off date) and land cover types. The results show that especially the phase difference between snow-off date and onset of potential evaporation has a large influence on the derived Sr; results even indicate that (non-)coincidence of snow melt and potential evaporation can cause a division between catchments with a high and a low Sr-value. From this study, it can be concluded that the climate derived root zone storage capacity leads to plausible results in boreal areas and that besides from climate variables, catchment vegetation characteristics can also be directly linked to the derived Sr-values. As the climate derived Sr enables incorporating climatic and vegetation conditions in a hydrological parameter, it could be beneficial to assess the effects of changing climate and environmental conditions in boreal regions.


Author(s):  
R. S. DEFRIES ◽  
M. HANSEN ◽  
R. SOHLBERG ◽  
J. R. G. TOWNSHEND
Keyword(s):  

Author(s):  
R. S. DEFRIES ◽  
M. HANSEN ◽  
R. SOHLBERG ◽  
J. R. G. TOWNSHEND
Keyword(s):  

Author(s):  
J. BROWN, ◽  
S. HOWARD, ◽  
T. LOVELAND, ◽  
D. OHLEN, ◽  
B. REED, ◽  
...  
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