The objective of this study was to assess the relationship betweenvegetation, landform and physicochemical properties of soil. At the first terrainmap unit were provided using the landsat thematic mapper (TM) satellite images,aerial photograph, topographical and geology map. Field sampling was done in therepresentative area using plot sampling. 104 plots 100 m2 were sampled in eachplot landform...

Achieving more timely, accurate and transparent information on the distribution and dynamics of the world’s land cover is essential to understanding the fundamental characteristics, processes and threats associated with human-nature-climate interactions. Higher resolution (~30–50 m) land cover mapping is expected to advance the understanding of the multi-dimensional interactions of the human-na...

This paper presents a parallel genetic algorithm for generalised vertex cover problem( GVCP) using Hadoop Map-Reduce framework. The proposed Map-Reduce implementation helps to run the genetic algorithm for generalized vertex cover problem(GVCP) on multiple machines parallely and computes the solution in relatively short time. Keywords— Parallel genetic algorithm,generalized vertex cover problem...

  Application of gepraphic information system and image processing in evaluation of surface runoff of a watershed in recent years has increased greatly. In the study , the runoff curve number map was prepared using geographic information system (GIS)and Landsat Sattelite Images (ETM+)for two watersheds of Mansourabad in southern Khorasan province and Navroud in Gilan province based on the facto...

Global tree cover percentage is an important parameter used to understand the global environment. However, the available global percent tree cover products are few, and efforts to validate these maps have been limited. Therefore, producing a new broad-scale percent tree cover dataset is valuable. Our study was undertaken to map tree cover percentage, on a global scale, with better accuracy than...

Aggregation methods are the most common way of upscaling land cover maps. To analyze the impact of land cover mapping error on upscaling agricultural maps, we utilized the Cropland Data Layer (CDL) data with corresponding confidence level data and simulated eight levels of error using a Monte Carlo simulation for two Agriculture Statistic Districts (ASD) in the U.S.A. The results of the simulat...

The objective of this study is to assess the accuracy of various satellite-derived land cover maps classified using a hybrid pixel-based and object-based image analysis technique. A 2006 QuickBird image covering a part of the eastern side of Tsukuba City, Japan, was used to derive the land cover maps. First, we classified the image using a pixel-based technique. Second, we generated five differ...

The accuracy assessment of land cover maps is traditionally based on reference sample observations randomly selected over the study area. It is assumed that reference sample observations, representing the “real” land cover at Earth’s surface, are free of errors. However, some of these may be erroneous. These errors are sometimes due to an uncertainty in the identification of the most adequate r...