نتایج جستجو برای: land useland cover

تعداد نتایج: 210213  

2012
Gul Afzal Khan Sher Afzal Khan Nazir Ahmad Zafar Saeed Islam Farooq Ahmad Muneeb ur Rehman Murad Ullah Abdul Wali Khan

In this study, a survey of land cover mapping and their classification techniques is done. Land cover mapping plays a very important role in making land policy, land management and land analysis. In this survey different approaches are studied that were applied for land cover mapping such as an Artificial Neural Network (ANNs), Fuzzy Logic, Supervised, Unsupervised and Maximum Likelihood. The o...

Assessment of land use spatiotemporal changes provide valuable data for managers to elaborate plans. Land use change modeling is one of the methods used by planers to manage land use changes. Detection of such changes may help decision makers and planners to understand the factors in land use and land cover changes in order to take effective and useful measures. Remote sensing (RS) and geograph...

Journal: :Global change biology 2017
Peter Alexander Reinhard Prestele Peter H Verburg Almut Arneth Claudia Baranzelli Filipe Batista E Silva Calum Brown Adam Butler Katherine Calvin Nicolas Dendoncker Jonathan C Doelman Robert Dunford Kerstin Engström David Eitelberg Shinichiro Fujimori Paula A Harrison Tomoko Hasegawa Petr Havlik Sascha Holzhauer Florian Humpenöder Chris Jacobs-Crisioni Atul K Jain Tamás Krisztin Page Kyle Carlo Lavalle Tim Lenton Jiayi Liu Prasanth Meiyappan Alexander Popp Tom Powell Ronald D Sands Rüdiger Schaldach Elke Stehfest Jevgenijs Steinbuks Andrzej Tabeau Hans van Meijl Marshall A Wise Mark D A Rounsevell

Understanding uncertainties in land cover projections is critical to investigating land-based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, ext...

2001
John R. Jensen Fang Qiu Keith Patterson

This paper describes the characteristics of a neural network image interpretation system that is designed to extract both rural land cover and urban land use from high spatial resolution imagery (e.g., digitized aerial photography, IKONOS imagery) and/or from relatively coarse spatial and spectral resolution remote sensor data (e.g., Landsat Thematic Mapper). The system consists of modules that...

2010
Chor-Pang Lo

Time sequential Landsat MSS and TM images were used to map land use/cover of the Atlanta metropolitan area for the past 25 years as a component of the NASA-funded Project ATLANTA (ATlanta Land-use ANalysis: Temperature and Air-quality), which has the objective to model the impact of land use/cover change on temperature and air quality in Atlanta. This paper describes a suite of techniques that ...

2014
L. Albert F. Rottensteiner C. Heipke

This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due to the fact that land cover and land use exhibit strong contextual dependencies. In the CRF, we distinguish a land cover layer and a land use layer. Both layers differ with resp...

Analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. In this study, the land use maps in the Ardabil plain in north-west part of Iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. T...

2013
Shyam Boriah Ankush Khandelwal Vipin Kumar Varun Mithal Karsten Steinhaeuser

Mapping land cover change is an important problem for the scientific community as well as policy makers. Traditionally, bi-temporal classification of satellite data is used to identify areas of land cover change. However, these classification products often have errors due to classifier inaccuracy or poor data, which poses significant issues when using them for land cover change detection. In t...

Journal: :desert 2015
saleh yousefi somayeh mirzaee mehdi tazeh hamidreza pourghasemi haji karimi

the objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. as a result, different algorithms such as the minimum distance ofmean (mdm), mahalanobis distance (md), maximum likelihood (ml), artificial neural network (ann), spectral anglemapper (sam), and support vector machine (svm) were...

2008
Alaaddin Yüksel Abdullah E. Akay Recep Gundogan

The satellite imagery has been effectively utilized for classifying land covertypes and detecting land cover conditions. The Advanced Spaceborne Thermal Emissionand Reflection Radiometer (ASTER) sensor imagery has been widely used in classificationprocess of land cover. However, atmospheric corrections have to be made by preprocessingsatellite sensor imagery since the electromagnetic radiation ...

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