Bina Thapa

ORCID: 0000-0003-2523-1641
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About
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Research Areas
  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Water Quality and Pollution Assessment
  • Ecology and Vegetation Dynamics Studies
  • Plant Water Relations and Carbon Dynamics
  • Wildlife-Road Interactions and Conservation
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Animal Ecology and Behavior Studies
  • Groundwater and Isotope Geochemistry
  • Coastal wetland ecosystem dynamics
  • Identification and Quantification in Food
  • Forest Ecology and Biodiversity Studies
  • Ecosystem dynamics and resilience
  • Landslides and related hazards
  • Species Distribution and Climate Change
  • Tree-ring climate responses
  • Geotechnical Engineering and Analysis
  • IoT Networks and Protocols
  • Groundwater and Watershed Analysis
  • Heavy metals in environment
  • Forest Insect Ecology and Management
  • Agricultural and Environmental Management

Purdue University West Lafayette
2023-2024

Institute of Science and Technology
2022-2024

Tribhuvan University
2022-2024

Iowa State University
2019-2023

Florida International University
2013-2016

We utilized spatio-temporal data to investigate the applicability of a hybrid (CA- Markov) model in predicting land-use change Saddle Creek drainage basin Florida. Agreement statistics (Kappa) between actual and that predicted by our showed an acceptable level prediction accuracy. This demonstrated validity study. Our notable increase urban areas (47.3 % 49.4%) transportation facilities (3.7% 5 %) from 2006 2015. On contrary, agricultural are decline 14.4 12.3 these periods.

10.12691/aees-1-6-5 article EN Applied ecology and environmental sciences/Applied ecology and environmental science 2013-11-28

Abstract Knowledge of the spatial and temporal changes caused by episodic disturbances seasonal variability is essential for understanding dynamics mangrove forests at landscape scale, building a baseline that allows detection effects future environmental change. In combination with Li DAR data, we calculated four vegetation indices from 150 Landsat TM images 1985 to 2011 in order detect distinguish them due hurricanes chilling events mangrove‐dominated coastal landscape. We found normalized...

10.1002/ecs2.1366 article EN cc-by Ecosphere 2016-06-01

Abstract Moderate severity disturbances, those that do not result in stand replacement, play an essential role ecosystem dynamics. Despite the prevalence of moderate disturbances and significant impacts they impose on forest functioning, little is known about their effects canopy structure how these differ over time across a range disturbance severities types. Using longitudinal data from National Ecological Observatory Network project, we assessed three press (beech bark disease, hemlock...

10.1111/1365-2745.14145 article EN cc-by Journal of Ecology 2023-06-12

The Ramaroshan Lake Complex (RLC) in Sudurpaschim Province, Nepal, is a Himalayan lake cluster that holds significant ecological, economic, religious, and esthetic importance. This study aimed to provide comprehensive characterization of the hydrochemical properties water within RLC assess its suitability for irrigation purposes. A total 38 samples were collected from seven different lakes complex. physicochemical parameters major ions then analyzed. alkaline, based on hardness, they ranged...

10.3390/limnolrev24010003 article EN cc-by Limnological Review 2024-01-08

Thermal springs are the sites where water temperature lies above ambient temperature. They widely used for power generation, hot spas, balneotherapy, agriculture, laundering, and aquaculture. In Nepal, many thermal reported but scientific understanding on quality hydrogeochemistry of is very limited. this study, a total 28 physico-chemical parameters were measured in samples collected from 12 Gandaki Province, Nepal. Correlation matrix multivariate statistical analysis such as principal...

10.1016/j.heliyon.2023.e17353 article EN cc-by-nc-nd Heliyon 2023-06-01

Satellite remote sensing has emerged as a transformative tool in modern agriculture, providing real-time, large-scale, and cost-effective solutions to enhance both productivity sustainability. This paper reviews the current applications of satellite data with particular focus on its potential Nepal. By examining global use cases crop health monitoring, soil moisture estimation, weather pattern analysis, land classification, emphasizes value integrating technology into Nepal’s agricultural...

10.3126/nepjas.v28i1.77626 article EN Nepalese Journal of Agricultural Sciences 2025-04-15

Sinkholes are the major cause of concern in Florida for their direct role on aquifer vulnerability and potential loss lives property. Mapping sinkhole susceptibility is critical to mitigating these consequences by adopting strategic changes land use practices. We compared analytical hierarchy process (AHP) based logistic regression (LR) approaches map areas prone activity Marion County, using long-term incident report dataset. For this study, LR model was more accurate with an area under...

10.1038/s41598-019-43705-6 article EN cc-by Scientific Reports 2019-05-09

Abstract Defoliators cause extensive damage in boreal and temperate forests of the world. Considerable effort has been invested to understand their individual population dynamics, despite ample theorising, there is little empirical evidence on factors causing spatial synchrony pest eruptions at landscape scales. We report landscape‐level effect forest configuration composition intensity outbreaks spruce budworm tent caterpillar a mixedwood northern Minnesota (USA) adjacent Ontario (Canada),...

10.1111/1365-2745.14226 article EN cc-by Journal of Ecology 2023-12-01

Effective modelling of forest susceptibility to defoliating insect outbreaks requires a better understanding outbreak dynamics, which includes detailed knowledge the pre- and post-outbreak status as well subsequent feedback mechanisms. In this paper, we strive fill need by combining archived Landsat sensor data (pre- post-outbreak) with different formats dates U.S. Forest Service's Inventory Analysis (FIA) (periodic [1970s, 1990s] annual [2003–2006]). Specifically, explore utility these FIA...

10.1080/01431161.2019.1711245 article EN International Journal of Remote Sensing 2020-01-20

Ramaroshan of Sudurpaschim Province is rich in biodiversity, and ecologically distinct but scientifically unexplored rural remote area Nepal. There a holy perennial Kailash River as lentic aesthetically well-known Ramarosan Lake Cluster (Batula Lake) lotic environment located the region. This study has analyzed then characterized water quality status both environments. The physicochemical parameters such temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), major ions...

10.3126/gjn.v15i01.42888 article EN Geographical Journal of Nepal 2022-02-18

Wetlands are among the highly threatened ecosystems due to anthropogenic activities. The Ramaroshan Wetland Complex (RWC) of Achham District, Nepal is one high-altitude wetlands facing human induced degradation and loss. Herpetofauna key bio-indicators environmental health habitat quality useful assess conditions such ecosystems. This study quantified land use cover (LULC) change in RWC documented diversity distribution pattern herpetofauna. LULC area (13.94 Km2) was analyzed for 1989, 2000,...

10.3390/ani13010135 article EN cc-by Animals 2022-12-29

Hydrochemical assessment of the freshwater lakes provides important insights into sources dissolved ions, geochemical processes, and anthropogenic activities taking place in environment. This study focuses on hydrochemistry water quality Kupinde Lake, Karnali Province, Nepal. Surface samples were collected from 24 different locations lake October 2021 analyzed for 18 physico-chemical parameters. The pH, temperature, electrical conductivity total solids measured on-site, concentration major...

10.3126/jist.v28i1.49052 article EN Journal of Institute of Science and Technology 2023-06-26

It is often logistically impractical to measure forest defoliation events in the field due seasonal variability larval feeding phenology (e.g., start, peak, and end) any given year. As such, data collections are either incomplete or at coarse temporal resolutions, both of which result inaccurate estimation annual (frass foliage loss). Using Choristoneura pinus F. Lymantria dispar L., we present a novel approach that leverages weather-driven insect simulation model (BioSIM) data. Our includes...

10.1016/j.mex.2023.102075 article EN cc-by MethodsX 2023-01-01

In the Chicago region, common buckthorn and bush honeysuckle stand out as dominant invasive species, accounting for over 40% of regional forest coverage. Their proliferation leads to formation dense thickets that hinder sunlight penetration, resulting in diminished native plant diversity understory. Accurate detection these species across this region is essential effective management invasives. Airborne LiDAR datasets show strong potential detecting distinctive structural patterns created by...

10.22541/essoar.169869495.57501897/v1 preprint EN Authorea (Authorea) 2023-10-30
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