Výsledky vyhledávání - "Oumer S. Ahmed"

Akademický článek

Estimation of Airborne Lidar-Derived Tropical Forest Canopy Height Using Landsat Time Series in Cambodia

Autor: Tetsuji Ota, Oumer S. Ahmed, Steven E. Franklin, Michael A. Wulder, Tsuyoshi Kajisa, Nobuya Mizoue, Shigejiro Yoshida, Gen Takao, Yasumasa Hirata, Naoyuki Furuya, Takio Sano, Sokh Heng, Ma Vuthy

Publikováno v: Remote Sensing, Vol 6, Iss 11, Pp 10750-10772 (2014)

In this study, we test and demonstrate the utility of disturbance and recovery information derived from annual Landsat time series to predict current forest vertical structure (as compared to the more common approaches, that consider a sample of airb

Externí odkaz: https://doaj.org/article/ea04703396ba407db97502142b1af7bf

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Akademický článek

Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar

Autor: Katsuto Shimizu, Oumer S. Ahmed, Raul Ponce-Hernandez, Tetsuji Ota, Zar Chi Win, Nobuya Mizoue, Shigejiro Yoshida

Publikováno v: Forests, Vol 8, Iss 6, p 218 (2017)

In 2016, in response to forest loss, the Myanmar government banned logging operations for 1 year throughout the entire country and for 10 years in specific regions. However, it is unclear whether this measure will effectively reduce forest loss, beca

Externí odkaz: https://doaj.org/article/6063ccffc55745418be28fc19e85ee52

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Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle

Autor: Tual Cin Khai, Shigejiro Yoshida, Sie Thu Minn, Oumer S. Ahmed, Nobuya Mizoue, Tetsuji Ota

Publikováno v: Forest Ecology and Management. 433:162-169

Selective logging is one of the factors contributing to deforestation and forest degradation in tropical forests. A low-cost methodology to monitor selective logging is clearly required. However, this poses a challenge because only a few trees are fe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24b57eeb07655c33c826a1a5cb434ea5
https://doi.org/10.1016/j.foreco.2018.10.058

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Wetland classification using Radarsat-2 SAR quad-polarization and Landsat-8 OLI spectral response data: a case study in the Hudson Bay Lowlands Ecoregion

Autor: Oumer S. Ahmed, Michael A. Stefanuk, Steven E. Franklin, Erik M. Skeries

Publikováno v: International Journal of Remote Sensing. 39:1615-1627

Circumboreal Canadian bogs and fens distinguished by differences in soils, hydrology, vegetation and morphological features were classified using combinations of Radarsat-2 synthetic aperture radar (SAR) quad-polarization data and Landsat-8 Operation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55bdb4d125be999b4d19eb4ab3b3db7c
https://doi.org/10.1080/01431161.2017.1410295

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Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data

Autor: Oumer S. Ahmed, Steven E. Franklin

Publikováno v: International Journal of Remote Sensing. 39:5236-5245

Object-based image analysis and machine-learning classification were applied to multispectral camera array data acquired by a small rotating blade unmanned aerial vehicle (UAV) over a hardwood forest in eastern Ontario. White birch, aspen, and two sp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9139c883b7e351027526181ed4599079
https://doi.org/10.1080/01431161.2017.1363442

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Northern Conifer Forest Species Classification Using Multispectral Data Acquired from an Unmanned Aerial Vehicle

Autor: Oumer S. Ahmed, Steven E. Franklin, Griffin Williams

Publikováno v: Photogrammetric Engineering & Remote Sensing. 83:501-507

Object-based image analysis and machine learning classification procedures, after field calibration and photogrammetric processing of consumer-grade unmanned aerial vehicle (UAV) digital camera data, were implemented to classify tree species in a con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c1230a6c59ac64d89750e9f9059cc861
https://doi.org/10.14358/pers.83.7.501

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Object-based analysis of UAS imagery to map emergent and submerged invasive aquatic vegetation: a case study

Autor: Adam Shemrock, Dominique Chabot, Oumer S. Ahmed, Christopher Dillon

Publikováno v: Journal of Unmanned Vehicle Systems. 5:27-33

Small unmanned aircraft systems (UAS) combined with automated image analysis may provide an efficient alternative or complement to labour-intensive boat-based monitoring of invasive aquatic vegetation. A small mapping drone was assessed for collectin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b43ead7152c53136777210c292de8387
https://doi.org/10.1139/juvs-2016-0009

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Using Landsat time series imagery to detect forest disturbance in selectively logged tropical forests in Myanmar

Autor: Oumer S. Ahmed, Tetsuji Ota, Raul Ponce-Hernandez, Shigejiro Yoshida, Nobuya Mizoue, Katsuto Shimizu, Zar Chi Win

Publikováno v: Canadian Journal of Forest Research. 47:289-296

Detecting forest disturbances is an important task in formulating mitigation strategies for deforestation and forest degradation in the tropics. Our study investigated the use of Landsat time series imagery combined with a trajectory-based analysis f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::780afd78f241fa8d6214f74a25431030
https://doi.org/10.1139/cjfr-2016-0244

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