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Forest Biometric Parameter Extraction using Unmanned Aerial Vehicle to Aid in Forest Inventory Data Collection


Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, India
2 Botanical Survey of India, ERC, Shillong 793 003, India
 

Frequent ground surveys and satellite-based information on tree height, canopy gaps and forest dynamics are limited by time, cost and spatial scales. In this study, an attempt has been made to derive forest biometric parameter on tree height by canopy height model and crown area projections using unmanned aerial vehicles (UAV)–RGB image. Sorensen’s coefficient has been used as an index to compare between ground inventory and UAV-based species identification. The statistical paired t-test showed UAV RGB can be used for maximum tree height and tree crown extraction to aid in ground surveys.

Keywords

Canopy Height Model, Canopy Area Projection, Forest Biometry, Unmanned Aerial Vehicles.
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  • Forest Biometric Parameter Extraction using Unmanned Aerial Vehicle to Aid in Forest Inventory Data Collection

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Authors

Kasturi Chakraborty
North Eastern Space Applications Centre, Umiam 793 103, India
Victor Saikom
North Eastern Space Applications Centre, Umiam 793 103, India
Suranjana B. Borah
North Eastern Space Applications Centre, Umiam 793 103, India
Mamita Kalita
North Eastern Space Applications Centre, Umiam 793 103, India
Chirag Gupta
North Eastern Space Applications Centre, Umiam 793 103, India
Laishram Ricky Meitei
Botanical Survey of India, ERC, Shillong 793 003, India
K. K. Sarma
North Eastern Space Applications Centre, Umiam 793 103, India
P. L. N. Raju
North Eastern Space Applications Centre, Umiam 793 103, India

Abstract


Frequent ground surveys and satellite-based information on tree height, canopy gaps and forest dynamics are limited by time, cost and spatial scales. In this study, an attempt has been made to derive forest biometric parameter on tree height by canopy height model and crown area projections using unmanned aerial vehicles (UAV)–RGB image. Sorensen’s coefficient has been used as an index to compare between ground inventory and UAV-based species identification. The statistical paired t-test showed UAV RGB can be used for maximum tree height and tree crown extraction to aid in ground surveys.

Keywords


Canopy Height Model, Canopy Area Projection, Forest Biometry, Unmanned Aerial Vehicles.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi7%2F1194-1199