Mapping of the Invasive Species Hakea sericea Using Unmanned Aerial Vehicle (UAV) and WorldView-2 Imagery and an Object-Oriented Approach
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María Flor Álvarez-Taboada | Claudio Paredes | Julia Julián-Pelaz | M. F. Álvarez-Taboada | Claudio Paredes | Julia Julián-Pelaz
[1] Stephen Pike,et al. Object-Based Image Analysis for Detection of Japanese Knotweed s.l. taxa (Polygonaceae) in Wales (UK) , 2011, Remote. Sens..
[2] Yubo Liang,et al. Distribution of Spartina spp. along China's coast , 2012 .
[3] K. Esler,et al. A landscape-scale assessment of the long-term integrated control of an invasive shrub in South Africa , 2009, Biological Invasions.
[4] Jana Müllerová,et al. Remote sensing as a tool for monitoring plant invasions: Testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed) , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[5] D. Richardson,et al. Ecology and management of alien plant invasions in South African fynbos: Accommodating key complexities in objective decision making , 2009 .
[6] J. Dubois,et al. Evaluation Of The Grey-level Co-occurrence Matrix Method For Land-cover Classification Using Spot Imagery , 1990 .
[7] D. Richardson,et al. The effects of alien shrub invasions on vegetation structure and fire behaviour in South African fynbos shrublands: a simulation study. , 1985 .
[8] Ali Shamsoddini,et al. Pine plantation structure mapping using WorldView-2 multispectral image , 2013 .
[9] S. Cirujano,et al. Cartografía de la superficie invadida por azolla filiculolides en el parque nacional de doñana mediante imágenes landsat. , 2009 .
[10] James M. Keller,et al. A fuzzy K-nearest neighbor algorithm , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[11] R. Hall,et al. Incorporating texture into classification of forest species composition from airborne multispectral images , 2000 .
[12] N. Coops,et al. Mapping the distributions of two invasive plant species in urban areas with advanced remote sensing data , 2016 .
[13] B. Bradley. Remote detection of invasive plants: a review of spectral, textural and phenological approaches , 2014, Biological Invasions.
[14] H. Gerós,et al. Phosphate transport by proteoid roots of Hakea sericea , 2007 .
[15] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[16] John R. Jensen,et al. Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .
[17] U. Benz,et al. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .
[18] Jiaping Wu,et al. Monitoring the Invasion of Spartina alterniflora from 1993 to 2014 with Landsat TM and SPOT 6 Satellite Data in Yueqing Bay, China , 2015, PloS one.
[19] P. Pyšek,et al. Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring , 2017, Front. Plant Sci..
[20] E. Marchante,et al. Big troubles are already here: risk assessment protocol shows high risk of many alien plants present in Portugal , 2017 .
[21] Sunil Kumar,et al. Using multi-date satellite imagery to monitor invasive grass species distribution in post-wildfire landscapes: An iterative, adaptable approach that employs open-source data and software , 2017, Int. J. Appl. Earth Obs. Geoinformation.
[22] Arko Lucieer,et al. apping invasive Fallopia japonica by combined spectral , spatial , and temporal nalysis of digital orthophotos , 2012 .
[23] Manuel A. Aguilar,et al. Non-Parametric Object-Based Approaches to Carry Out ISA Classification From Archival Aerial Orthoimages , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[24] D. Richardson,et al. Aspects of the reproductive ecology of four australian Hakea species (Proteaceae) in South Africa , 1987, Oecologia.
[25] Jeff Sauro,et al. Estimating Completion Rates from Small Samples Using Binomial Confidence Intervals: Comparisons and Recommendations , 2005 .
[26] Stephen R. Yool,et al. Plant invasions in dynamic desert landscapes. A field and remote sensing assessment of predictive and change modeling , 2008 .
[27] Huamei Huang,et al. A study of the population dynamics of Spartina alterniflora at Jiuduansha shoals, Shanghai, China. , 2007 .
[28] J. Pergl,et al. Aerial photographs as a tool for assessing the regional dynamics of the invasive plant species Heracleum mantegazzianum , 2005 .
[29] Frédéric Achard,et al. The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests , 2016, Remote. Sens..
[30] M. Baatz,et al. Progressing from object-based to object-oriented image analysis , 2008 .
[31] Clement Atzberger,et al. Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya , 2017, Remote. Sens..
[32] P. Fernandes,et al. Changes in wildfire severity from maritime pine woodland to contiguous forest types in the mountains of northwestern Portugal , 2010 .
[33] G. Mallinis,et al. Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece , 2018 .
[34] Nikos Koutsias,et al. Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site , 2008 .
[35] Manuel A. Aguilar,et al. Influence of Data Source and Training Size on Impervious Surface Areas Classification Using VHR Satellite and Aerial Imagery Through an Object-Based Approach , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[36] James H. Everitt,et al. Use of Remote Sensing for Detecting and Mapping Leafy Spurge (Euphorbia esula) , 1995, Weed Technology.
[37] CLASIFICACIÓN ORIENTADA A OBJETOS EN FOTOGRAFÍAS AÉREAS DIGITALES PARA LA DISCRIMINACIÓN DE USOS DEL SUELO , 2009 .
[38] Roberta E. Martin,et al. Multi-trophic invasion resistance in Hawaii: bioacoustics, field surveys, and airborne remote sensing. , 2007, Ecological applications : a publication of the Ecological Society of America.
[39] Philippe C. Baveye,et al. Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery , 2008 .
[40] D. P. Groeneveld,et al. Near‐infrared discrimination of leafless saltcedar in wintertime Landsat TM , 2008 .
[41] Tomaž Podobnikar,et al. Recognition of the invasive species Robinia pseudacacia from combined remote sensing and GIS sources , 2012 .
[42] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[43] Fuan Tsai,et al. Texture augmented analysis of high resolution satellite imagery in detecting invasive plant species , 2006 .
[44] Barry R. Middleton,et al. Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 , 2015 .
[45] David Aragonés,et al. Hyperspectral Sensors as a Management Tool to Prevent the Invasion of the Exotic Cordgrass Spartina densiflora in the Doñana Wetlands , 2016, Remote. Sens..
[46] Mingming Jia,et al. Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China , 2017, Remote. Sens..
[47] Johan Baard,et al. Alien flora of the Garden Route National Park, South Africa , 2014 .
[48] H. Jones,et al. Remote Sensing of Vegetation: Principles, Techniques, and Applications , 2010 .
[49] Russell Congalton,et al. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Second Edition , 1998 .
[50] G G Forsyth,et al. The prioritisation of invasive alien plant control projects using a multi-criteria decision model informed by stakeholder input and spatial data. , 2012, Journal of environmental management.
[51] C. V. D. Sande,et al. A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment , 2003 .
[52] André Große-Stoltenberg,et al. Evaluation of Continuous VNIR-SWIR Spectra versus Narrowband Hyperspectral Indices to Discriminate the Invasive Acacia longifolia within a Mediterranean Dune Ecosystem , 2016, Remote. Sens..
[53] Gregory Asner,et al. Applications of Remote Sensing to Alien Invasive Plant Studies , 2009, Sensors.
[54] Jessica J. Walker,et al. Mapping Presence and Predicting Phenological Status of Invasive Buffelgrass in Southern Arizona Using MODIS, Climate and Citizen Science Observation Data , 2016, Remote. Sens..
[55] Thomas Blaschke,et al. Object based image analysis for remote sensing , 2010 .
[56] H. Freitas,et al. Exotic naturalized flora of continental Portugal – A reassessment , 2006 .
[57] Paulo Mateus,et al. Forest Fires in Portugal: Dynamics, Causes and Policies , 2014 .
[58] James H. Everitt,et al. Using Spatial Information Technologies to Map Chinese Tamarisk (Tamarix chinensis) Infestations , 1996, Weed Science.
[59] D. Fuller. Remote detection of invasive Melaleuca trees (Melaleuca quinquenervia) in South Florida with multispectral IKONOS imagery , 2005 .
[60] F. Rego,et al. Wildfires and landscape dynamics in Portugal: a regional assessment and global implications , 2014 .
[61] Philip E. Hulme,et al. Biological invasions: winning the science battles but losing the conservation war? , 2003, Oryx.