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Texture Analysis Riparian Coniferous Forest ADAR Imagery to Identify PotentialEcological Indicators for Monitoring

机译：纹理分析河岸针叶林aDaR图像识别潜在的生态学监测指标

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The Airborne Data Acquisition and Registration (ADAR) remote sensing systemcaptured one-meter resolution imagery of 25 different riparian sites in drift Creek Basin of coastal northwestern Oregon, USA. The multispectral, digital data characterized riparian areas with the intent to develop ecological indicators for long-term monitoring.

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Barker, J. R.; Bollman, M.; Fiorella, M.; Bradshaw, G.; Ringold, P. L.;
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年度 1998
页码 1-10
总页数 10
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Riparian plants; Forests; Canopies(Vegetation); Environmental monitoring; Biological indicators; Remote sensing; Drift Creek; River basines; Riparian land; Coniferous trees; Deciduous trees; Pattern recognition; Spatial resolution; Image analysis; Image p;

机译：河岸植物;森林;檐篷（植被）;环境监测;生物指标;遥感;漂流溪;河流流域;河岸地;针叶树;落叶树;模式识别;空间分辨率;图像分析;图像p;

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1. Analysis of co-occurrence and discrete wavelet transform textures for differentiation of forest and non-forest vegetation in very-high-resolution optical-sensor imagery [J] . YASHON O. OUMA, J. TETUKO, R. TATEISHI International journal of remote sensing . 2008,第11a12期

机译：高分辨率光学传感器图像中共生和离散小波变换纹理的区分森林和非森林植被的分析
2. Assessing a novel modelling approach with high resolution UAV imagery for monitoring health status in priority riparian forests [J] . Juan Guerra-Hernandez, Ramon A.Diaz-Varela, Juan Gabriel Avarez-Gonzalez, 森林生态系统：英文版 . 2021,第004期

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3. SPATIAL PROCESSING OF SENTINEL IMAGERY FOR MONITORING OF ACACIA FOREST DEGRADATION IN LAKE NAKURU RIPARIAN RESERVE [J] . A. Osio, M. T. Pham, S. Lefèvre ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2020,第5期

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7. RIPARIAN ZONE CREATION IN ESTABLISHED CONIFEROUS FORESTS IN IRISH UPLAND PEAT CATCHMENTS: PHYSICAL, CHEMICAL AND BIOLOGICAL IMPLICATIONS [O] . Ryder, L, DeEyto, E, Gormally, M, 2011

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Texture Analysis Riparian Coniferous Forest ADAR Imagery to Identify PotentialEcological Indicators for Monitoring

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