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Australian Forestry Volume 67, 2004 - Issue 4
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Articles

Assessing forest canopy density in a highly variable landscape using Landsat data and FCD Mapper software

Jack Baynes Department of Natural and Rural Systems, University of Queensland, Gatton, Queensland, 4343, Australia; Gympie Training Centre, Gympie, Queensland, 4570, Australia
Pages 247-253 | Received 08 Jun 2004, Published online: 15 Apr 2013

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Kiran Sharma & Anup Saikia. (2018) How green was my valley: forest canopy density in relation to topography and anthropogenic effects in Manipur valley, India. Geografisk Tidsskrift-Danish Journal of Geography 118:2, pages 137-150.
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Myat Su Mon, Nobuya Mizoue, Naing Zaw Htun, Tsuyoshi Kajisa & Shigejiro Yoshida. (2012) Estimating forest canopy density of tropical mixed deciduous vegetation using Landsat data: a comparison of three classification approaches. International Journal of Remote Sensing 33:4, pages 1042-1057.
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Articles from other publishers (13)

Jing Tian, Pinliang Dong, Yanqiu Xing, Wei Shan, Qiang Wang & Dan Li. (2023) Comparison between biophysical analysis model and dimidiate pixel model for the estimation of forest canopy density. Journal of Applied Remote Sensing 17:01.
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Turgay Dindaroglu, Emre Babur, Said Laaribya, Martin Mokroš & Mahmoud Seleiman. (2023) The Effects of Clear-Cutting on Ground Thermal Regimes After a Wildfire Using Hand-Held Thermal Imaging Camera in a Semi-arid Forest Ecosystems. International Journal of Environmental Research 17:1.
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Juan C. González-Vélez, Maria C. Torres-Madronero, J. Murillo-Escobar & Juan Carlos Jaramillo-Fayad. (2021) An artificial intelligent framework for prediction of wildlife vehicle collision hotspots based on geographic information systems and multispectral imagery. Ecological Informatics 63, pages 101291.
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Turgay Dindaroglu, Emre Babur, Tugrul Yakupoglu, Jesús Rodrigo-Comino & Artemi Cerdà. (2021) Evaluation of geomorphometric characteristics and soil properties after a wildfire using Sentinel-2 MSI imagery for future fire-safe forest. Fire Safety Journal 122, pages 103318.
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Biswajit Bera, Sumana Bhattacharjee, Nairita Sengupta & Soumik Saha. (2021) Dynamics of deforestation and forest degradation hotspots applying geo-spatial techniques, apalchand forest in terai belt of himalayan foothills: Conservation priorities of forest ecosystem. Remote Sensing Applications: Society and Environment 22, pages 100510.
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Asish Saha, Manoranjan Ghosh & Subodh Chandra Pal. 2021. Forest Resources Resilience and Conflicts. Forest Resources Resilience and Conflicts 49 61 .
Asish Saha, Manoranjan Ghosh, Subodh Chandra Pal, Indrajit Chowdhuri, Rabin Chakrabortty, Paramita Roy, Biswajit Das & Sadhan Malik. 2021. Spatial Modeling in Forest Resources Management. Spatial Modeling in Forest Resources Management 365 384 .
Ivan Pilaš, Mateo Gašparović, Alan Novkinić & Damir Klobučar. (2020) Mapping of the Canopy Openings in Mixed Beech–Fir Forest at Sentinel-2 Subpixel Level Using UAV and Machine Learning Approach. Remote Sensing 12:23, pages 3925.
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Sunil Saha, Mantosh Saha, Kaustuv Mukherjee, Alireza Arabameri, Phuong Thao Thi Ngo & Gopal Chandra Paul. (2020) Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India. Science of The Total Environment 730, pages 139197.
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Lorena Hojas Gascón, Guido Ceccherini, Francisco García Haro, Valerio Avitabile & Hugh Eva. (2019) The Potential of High Resolution (5 m) RapidEye Optical Data to Estimate Above Ground Biomass at the National Level over Tanzania. Forests 10:2, pages 107.
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Sérgio Godinho, Artur Gil, Nuno Guiomar, Nuno Neves & Teresa Pinto-Correia. (2014) A remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal. Agroforestry Systems 90:1, pages 23-34.
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Magdalena A. Zabek, David M. Berman, Simon P. Blomberg, Christina W. Collins & John Wright. (2016) Population dynamics of feral horses (Equus caballus) in an exotic coniferous plantation in Australia. Wildlife Research 43:4, pages 358.
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P. W. WestP. W. West. 2015. Tree and Forest Measurement. Tree and Forest Measurement 145 163 .

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