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Evaluating the impact of land use/cover changes on hydrological processes in the Lake Tana Basin. [PDF]

Sci Rep
Ragab EM, Fleifle A, Abdelmeged N, Abourohiem M.   +3 more
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African Land-Cover Classification Using Satellite Data

Science, 1985
Data from the advanced very-high-resolution radiometer sensor on the National Oceanic and Atmospheric Administration's operational series of meteorological satellites were used to classify land cover and monitor vegetation dynamics for Africa over a 19-month period.
C J, Tucker, J R, Townshend, T E, Goff
openaire   +2 more sources

Land cover classification by SAR

Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium, 2002
A 7.5 km/spl times/12.4 km test site located in northern Michigan was used to evaluate the land-cover classification accuracy attainable by automatic classifiers using various combinations of SAR polarizations and frequency bands. The scene was imaged by the JPL AirSAR at L- and C-bands.
F. Ulaby, L.E. Pierce, M.C. Dobson, S. Chacon, K. Sarabandi   +4 more
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Land Cover/Land Use Classification of Urban Areas

International Journal of Pattern Recognition and Artificial Intelligence, 1998
This paper proposes a method for remote sensing based land cover/land use classification of urban areas. The method consists of the following four main stages: feature extraction, feature coding, feature selection and classification. In the feature extraction stage, statistical, textural and Gabor features are computed within local image windows of ...
Jukka Heikkonen, Aristide Varfis
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Integrated Land Cover and Change Classifications

The Roles of Remote Sensing in Nature Conservation, 2017
For nature conservation, regular provision of consistent, timely and useable classifications of land covers and change is highly beneficial but is rarely achieved. This chapter outlines the concepts behind the Earth Observation Data for Ecosystem Monitoring (EODESM) system, which facilitates the description and classification of any site worldwide ...
Lucas, Richard, Mitchell, Anthea
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Border Lakes land-cover classification

2009
This document contains metadata and description of land-cover classification of approximately 5.1 million acres of land bordering Minnesota, U.S.A. and Ontario, Canada. The classification focused on the separation and identification of specific forest-cover types. Some separation of the nonforest classes also was performed.
Marvin Bauer, Brian Loeffelholz, Doug. Shinneman   +2 more
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Radar remote sensing: land cover classification

1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339), 2002
The recent increase in the number of space-based and airborne synthetic aperture radar (SAR) systems and three-dimensional synthetic aperture radar systems (interferometric SAR; IFSAR) has resulted in new types of data that can complement other sensor systems and, in some cases, solve serious data collection deficiencies.
S. Jaroszewski, R. Lefevre
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Random Forests for land cover classification

Pattern Recognition Letters, 2006
Random Forests are considered for classification of multisource remote sensing and geographic data. Various ensemble classification methods have been proposed in recent years. These methods have been proven to improve classification accuracy considerably. The most widely used ensemble methods are boosting and bagging.
Pall Oskar Gislason, Jon Atli Benediktsson, Johannes R. Sveinsson   +2 more
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Land-Cover Classification

2019
Land-cover classification is an important application area of satellite remote sensing. However, deriving thematic map from satellite imagery through classification approaches is not a straightforward task, especially from high-resolution satellite imagery.
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