scispace - formally typeset
T

Tek Narayan Maraseni

Researcher at University of Southern Queensland

Publications -  240
Citations -  5455

Tek Narayan Maraseni is an academic researcher from University of Southern Queensland. The author has contributed to research in topics: Forest management & Agriculture. The author has an hindex of 33, co-authored 215 publications receiving 3821 citations. Previous affiliations of Tek Narayan Maraseni include Chinese Academy of Sciences & Charles Sturt University.

Papers
More filters
Journal ArticleDOI

Climate change, poverty and livelihoods: adaptation practices by rural mountain communities in Nepal

TL;DR: In this paper, the authors explore how climate change is affecting the livelihood of local communities and how different wellbeing groups are differentially impacted in remote mountainous Jumla District of Nepal.
Journal ArticleDOI

Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery

TL;DR: In this article, the authors evaluated the ability of Sentinel imagery for the retrieval and predictive mapping of above-ground biomass of mangroves and their replacement land uses, and developed models each from SAR raw polarisation backscatter data, multispectral bands, vegetation indices and canopy biophysical variables.
Journal ArticleDOI

Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

TL;DR: In this article, a wavelet-hybrid artificial neural network (ANN) model integrated with iterative input selection algorithm (IIS-W-ANN) is evaluated for its statistical preciseness in forecasting monthly streamflow, and it is then benchmarked against M5 Tree model.
Journal ArticleDOI

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

TL;DR: The study signifies the important role of the self-adaptive multi-resolution utility (CEEMDAN) hybridized with the ELM algorithm to potentially develop automated prediction systems for forecasting soil moisture, with potential applications in agriculture.
Journal ArticleDOI

An assessment of the impacts of the REDD+ pilot project on community forests user groups (CFUGs) and their community forests in Nepal

TL;DR: When all the additional costs and foregone benefits of the project are considered, REDD+ is not an attractive market-based option for Nepalese CFUGs, and a better approach would be a bilateral or multilateral approach that is not market based, but provides incentives beyond environmental and social safeguards.