Unlocking the potential of wetland biomass: Treatment approaches and sustainable resource management for enhanced utilization

Rasool, Saheem; Rasool, Tanveer; Gani, Khalid Muzamil

doi:10.1016/j.biteb.2023.101553

Cited by 3 publications

(1 citation statement)

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“…Although wetlands occupy approximately 2-6% of the earth's surface, they fulfill many ecological functions [1,2]. Wetlands provide carbon sequestration [3,4]; support soil formation and stabilization [5,6]; supply food, water, and plant biomass [7][8][9]; and serve as cultural and recreational areas [10,11]. The quality and quantity of ecosystem services provided by wetlands varies depending on their type, hydrology, water chemistry, soils, and plant species [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Comparing Pixel- and Object-Based Approaches for Classifying Multispectral Drone Imagery of a Salt Marsh Restoration and Reference Site

Norris,

LaRocque,

Leblon

et al. 2024

Remote Sensing

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Monitoring salt marshes with remote sensing is necessary to evaluate their state and restoration. Determining appropriate techniques for this can be overwhelming. Our study provides insight into whether a pixel- or object-based Random Forest classification approach is best for mapping vegetation in north temperate salt marshes. We used input variables from drone images (raw reflectances, vegetation indices, and textural features) acquired in June, July, and August 2021 of a salt marsh restoration and reference site in Aulac, New Brunswick, Canada. We also investigated the importance of input variables and whether using landcover classes representing areas of change was a practical way to evaluate variation in the monthly images. Our results indicated that (1) the classifiers achieved overall validation accuracies of 91.1–95.2%; (2) pixel-based classifiers outperformed object-based classifiers by 1.3–2.0%; (3) input variables extracted from the August images were more important than those extracted from the June and July images; (4) certain raw reflectances, vegetation indices, and textural features were among the most important variables; and (5) classes that changed temporally were mapped with user’s and producer’s validation accuracies of 86.7–100.0%. Knowledge gained during this study will inform assessments of salt marsh restoration trajectories spanning multiple years.

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