Citations (25)
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Ntombifuthi Nzimande, Onisimo Mutanga, Zolo Kiala & Mbulisi Sibanda. (2021) Mapping the spatial distribution of the yellowwood tree (Podocarpus henkelii) in the Weza-Ngele forest using the newly launched Sentinel-2 multispectral imager data. South African Geographical Journal 103:2, pages 204-222.
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Mao Xuegang, Zhu Liang & Wenyi Fan. (2020) Object-Oriented Automatic Identification of Forest Gaps Using Digital Orthophoto Maps and LiDAR Data. Canadian Journal of Remote Sensing 46:2, pages 177-192.
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Oupa E. Malahlela, Clement Adjorlolo, Jane M. Olwoch, Mahlatse L. Kganyago & Morwapula J. Mashalane. (2019) Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control. International Journal of Remote Sensing 40:15, pages 5917-5937.
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Leighton Lombard, Riyad Ismail & Nitesh Poona. (2019) Modelling forest canopy gaps using LiDAR-derived variables. Geocarto International 34:2, pages 179-193.
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Walter Chivasa, Onisimo Mutanga & Chandrashekhar Biradar. (2017) Application of remote sensing in estimating maize grain yield in heterogeneous African agricultural landscapes: a review. International Journal of Remote Sensing 38:23, pages 6816-6845.
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Oupa E. Malahlela. (2016) Inland waterbody mapping: towards improving discrimination and extraction of inland surface water features. International Journal of Remote Sensing 37:19, pages 4574-4589.
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Articles from other publishers (19)
Manuela Hirschmugl, Carina Sobe, Alfredo Di Filippo, Vanessa Berger, Hanns Kirchmeir & Kris Vandekerkhove. (2023) Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe. Environmental Modeling & Assessment 28:5, pages 761-785.
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Jiale Chen, Li Wang, Tommaso Jucker, Hongzhi Da, Zhaochen Zhang, Jianbo Hu, Qingsong Yang, Xihua Wang, Yuchu Qin, Guochun Shen, Li Shu & Jian Zhang. (2023)
Detecting forest canopy gaps using unoccupied aerial vehicle
RGB
imagery in a species‐rich subtropical forest
. Remote Sensing in Ecology and Conservation 9:5, pages 671-686.
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Colbert M Jackson & Elhadi Adam. (2022) A machine learning approach to mapping canopy gaps in an indigenous tropical submontane forest using WorldView-3 multispectral satellite imagery. Environmental Conservation, pages 1-8.
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Naimeh Rahimizadeh, Sasan Babaie Kafaky, Mahmod Reza Sahebi & Asadollah Mataji. (2019) Forest structure parameter extraction using SPOT-7 satellite data by object- and pixel-based classification methods. Environmental Monitoring and Assessment 192:1.
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Fengshuo Yang, Xiaomei Yang, Zhihua Wang, Chen Lu, Zhi Li & Yueming Liu. (2019) Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster. Journal of Oceanology and Limnology 37:6, pages 1955-1970.
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Xuegang Mao & Jiyu Hou. (2018) Object-based forest gaps classification using airborne LiDAR data. Journal of Forestry Research 30:2, pages 617-627.
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Kalkidan Mulatu, Mathieu Decuyper, Benjamin Brede, Lammert Kooistra, Johannes Reiche, Brice Mora & Martin Herold. (2019) Linking Terrestrial LiDAR Scanner and Conventional Forest Structure Measurements with Multi-Modal Satellite Data. Forests 10:3, pages 291.
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Astika Bhugeloo, Kabir Peerbhay, Syd Ramdhani & Sershen. (2018) Assessing the Trade-Offs of SPOT7 Imagery for Monitoring Natural Forest Canopy Intactness. Forests 9:12, pages 781.
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V. M. Zhirin, S. V. Knyazeva & S. P. Eidlina. (2019) Estimation of Linkages between Biometric Indexes of Forests and Pattern of Canopy Spaces on Super-High-Resolution Satellite Images. Contemporary Problems of Ecology 11:7, pages 743-753.
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Ali Shamsoddini & Simitkumar Raval. (2018) Mapping red edge-based vegetation health indicators using Landsat TM data for Australian native vegetation cover. Earth Science Informatics 11:4, pages 545-552.
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Victor Rolo, Pieter I. Olivier & Rudi J. van Aarde. (2018) Determinants of canopy gap characteristics in rehabilitating coastal dune forests. Applied Vegetation Science 21:3, pages 451-460.
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Mahlatse Kganyago, John Odindi, Clement Adjorlolo & Paidamoyo Mhangara. (2018) Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape. International Journal of Applied Earth Observation and Geoinformation 67, pages 10-19.
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Oupa E. Malahlela, Jane M. Olwoch & Clement Adjorlolo. (2018) Evaluating Efficacy of Landsat-Derived Environmental Covariates for Predicting Malaria Distribution in Rural Villages of Vhembe District, South Africa. EcoHealth 15:1, pages 23-40.
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Yuanhui Zhu, Kai Liu, Lin Liu, Soe Myint, Shugong Wang, Hongxing Liu & Zhi He. (2017) Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms. Remote Sensing 9:10, pages 1060.
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Travis W. Idol, Rodolfo Martinez Morales, James B. Friday & Paul G. Scowcroft. (2017) Precommercial release thinning of potential Acacia koa crop trees increases stem and crown growth in dense, 8-year-old stands in Hawaii. Forest Ecology and Management 392, pages 105-114.
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T.P. Robinson, G.W. Wardell-Johnson, G. Pracilio, C. Brown, R. Corner & R.D. van Klinken. (2016) Testing the discrimination and detection limits of WorldView-2 imagery on a challenging invasive plant target. International Journal of Applied Earth Observation and Geoinformation 44, pages 23-30.
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Jian Yang, Trevor Jones, John Caspersen & Yuhong He. (2015) Object-Based Canopy Gap Segmentation and Classification: Quantifying the Pros and Cons of Integrating Optical and LiDAR Data. Remote Sensing 7:12, pages 15917-15932.
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. (2015) Remote-Sensed Mapping of Sargassum spp. Distribution around Rottnest Island, Western Australia, Using High-Spatial Resolution WorldView-2 Satellite Data. Journal of Coastal Research 32:6, pages 1310.
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Oupa E. Malahlela, Moses A. Cho & Onisimo Mutanga. (2015) Mapping the occurrence of Chromolaena odorata (L.) in subtropical forest gaps using environmental and remote sensing data. Biological Invasions 17:7, pages 2027-2042.
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