Using Land Cover Change to Predict Forest Degradation Pressure Points, Eastern Mau Forest, Kenya
نویسندگان
چکیده
منابع مشابه
An analysis of forest land use, forest land cover and change at policy-relevant scales
Quantifying the amount of forest and change in the amount of forest are key to ensure that appropriate management practices and policies are in place to maintain the array of ecosystem services provided by forests. There are a range of analytical techniques and data available to estimate these forest parameters, however, not all ‘forest’ is the same and various components of change have been pr...
متن کاملRandom Forest Algorithm for Land Cover Classification
Since the launch of the first land observation satellite Landsat-1 in 1972, many machine learning algorithms have been used to classify pixels in Thematic Mapper (TM) imagery. Classification methods range from parametric supervised classification algorithms such as maximum likelihood, unsupervised algorithms such as ISODAT and k-means clustering to machine learning algorithms such as artificial...
متن کاملEvaluating Anthropogenic Risk of Grassland and Forest Habitat Degradation using Land-Cover Data
T effects of landscape context on habitat quality are receiving increased attention in conservation biology. The objective of this research is to demonstrate a landscape-level approach to mapping and evaluating the anthropogenic risks of grassland and forest habitat degradation by examining habitat context as defined by intensive anthropogenic land uses at multiple spatial scales. A landscape m...
متن کاملRapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
The paper evaluated the Landsat Automated Land Cover Update Mapping (LALCUM) system designed to rapidly update a land cover map to a desired nominal year using a pre-existing reference land cover map. The system uses the Iteratively Reweighted Multivariate Alteration Detection (IRMAD) to identify areas of change and no change. The system then automatically generates large amounts of training sa...
متن کاملUsing satellite data to monitor land-use land-cover change in North-eastern Latvia
Land-use and land-cover change (LULCC), especially those caused by human activities, is one of the most important components of global environmental change (Jessen 3(rd) edition: 1-526 2005). In this study the effects of geographic and demographic factors on LULCC are analyzed in northeastern Latvia using official estimates from census and vital statistics data, and using remotely sensed satell...
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ژورنال
عنوان ژورنال: International Letters of Natural Sciences
سال: 2018
ISSN: 2300-9675
DOI: 10.18052/www.scipress.com/ilns.71.17