Results 11 to 20 of about 643,688 (353)

SYNTHETIC APERTURE RADAR (SAR) BASED CLASSIFIERS FOR LAND APPLICATIONS IN GERMANY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Land cover information is essential for urban planning and for land cover change monitoring. This paper presents an overview of the work conducted at the Federal Agency for Cartography and Geodesy (BKG) with respect to Synthetic Aperture Radar (SAR ...
G. Suresh   +3 more
doaj   +1 more source

STUDY ON THE TECHNOLOGY AND METHOD OF LAND COVER CLASSIFICATION FOR GEOGRAPHIC NATIONAL CONDITIONS SURVEYING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
Land Cover is the basis of geographic national conditions monitoring, extracting land cover information timely and accurately has become one of important tasks in the geographic national conditions surveying project.
Y. Jia, H. T. Li, H. Y. Gu, Y. S. Han
doaj   +1 more source

Cost-effective land cover classification for remote sensing images

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2022
Land cover maps are of vital importance to various fields such as land use policy development, ecosystem services, urban planning and agriculture monitoring, which are mainly generated from remote sensing image classification techniques. Traditional land
Dongwei Li   +3 more
doaj   +1 more source

A simple semi-automatic approach for land cover classification from multispectral remote sensing imagery. [PDF]

open access: yesPLoS ONE, 2012
Land cover data represent a fundamental data source for various types of scientific research. The classification of land cover based on satellite data is a challenging task, and an efficient classification method is needed.
Dong Jiang   +5 more
doaj   +1 more source

Improving Dryland Urban Land Cover Classification Accuracy Using a Classical Convolution Neural Network

open access: yesLand, 2023
Reliable information of land cover dynamics in dryland cities is crucial for understanding the anthropogenic impacts on fragile environments. However, reduced classification accuracy of dryland cities often occurs in global land cover data. Although many
Wenfei Luan   +6 more
doaj   +1 more source

Avoiding Invalid Transitions in Land Cover Trajectory Classification With a Compound Maximum a Posteriori Approach

open access: yesIEEE Access, 2020
Classifying remote sensing time-series in land cover trajectories can provide essential information about ecosystems functioning and about the impacts of natural phenomena or human activities over the environment.
Mariane Souza Reis   +3 more
doaj   +1 more source

The Standardization and Harmonization of Land Cover Classification Systems towards Harmonized Datasets: A Review

open access: yesISPRS International Journal of Geo-Information, 2017
A number of national, regional and global land cover classification systems have been developed to meet specific user requirements for land cover mapping exercises, independent of scale, nomenclature and quality.
Hui Yang   +4 more
doaj   +1 more source

AN ITERATIVE INFERENCE PROCEDURE APPLYING CONDITIONAL RANDOM FIELDS FOR SIMULTANEOUS CLASSIFICATION OF LAND COVER AND LAND USE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Land cover and land use exhibit strong contextual dependencies. We propose a novel approach for the simultaneous classification of land cover and land use, where semantic and spatial context is considered.
L. Albert, F. Rottensteiner, C. Heipke
doaj   +1 more source

Optimal land cover mapping and change analysis in northeastern oregon using landsat imagery. [PDF]

open access: yes, 2015
The necessity for the development of repeatable, efficient, and accurate monitoring of land cover change is paramount to successful management of our planet’s natural resources. This study evaluated a number of remote sensing methods for classifying land
Campbell, Michael J   +2 more
core   +2 more sources

Employing Crowdsourced Geographic Information to Classify Land Cover with Spatial Clustering and Topic Model

open access: yesRemote Sensing, 2017
Land cover classification is the most important element of land cover mapping and is a key input to many societal benefits. Traditional classification methods require a large amount of remotely sensed images, which are time consuming and labour intensive.
Hanfa Xing   +4 more
doaj   +1 more source

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