Kunwar K. V. Singh

Works (14)

Updated: July 28th, 2023 21:17

2022 journal article

From viewsheds to viewscapes: Trends in landscape visibility and visual quality research

LANDSCAPE AND URBAN PLANNING, 224.

By: N. Inglis, J. Vukomanovic, J. Costanza  & K. Singh

author keywords: GIS; Landscape aesthetics; Landscape visibility; Line-of-sight; Visual assessment
Sources: Web Of Science, ORCID
Added: June 13, 2022

2022 journal article

From viewsheds to viewscapes: Trends in landscape visibility and visual quality research

LANDSCAPE AND URBAN PLANNING, 224.

By: N. Inglis n, J. Vukomanovic n, J. Costanza*  & K. Singh*

author keywords: GIS; Landscape aesthetics; Landscape visibility; Line-of-sight; Visual assessment
TL;DR: This work proposes a framework for standardized reporting of methods that emphasizes cross-disciplinary collaboration to propel visibility research into the future and found that methods, tools and study designs varied across disciplines and scales. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: December 12, 2022

2022 journal article

Landscape-scale hydrologic response of plant invasion relative to native vegetation in urban forests

SCIENCE OF THE TOTAL ENVIRONMENT, 802.

By: K. Singh*, N. Bhattarai * & J. Vukomanovic n

author keywords: Biological invasion; Vegetation phenology; Hydrologic response; Ligustrum sinense; Surface-energy-balance evapotranspiration; Chinese privet
MeSH headings : Forests; Hydrology; Plants; Seasons; Water Resources
TL;DR: Accounting for the hydrologic response of invasive plants and potential water savings from their removal from forests, particularly in water-scarce regions, may enable land managers and decision-makers to prioritize areas for monitoring and control efforts. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Source: Web Of Science
Added: October 12, 2021

2021 journal article

Quantifying Drivers of Coastal Forest Carbon Decline Highlights Opportunities for Targeted Human Interventions

LAND, 10(7).

By: L. Smart n , J. Vukomanovic n, P. Taillie*, K. Singh* & J. Smith*

author keywords: aboveground carbon storage; coastal forests; light detection and ranging (LiDAR); remote sensing; satellite imagery; sea level rise
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 2, 2021

2020 journal article

Aboveground carbon loss associated with the spread of ghost forests as sea levels rise

ENVIRONMENTAL RESEARCH LETTERS, 15(10).

By: L. Smart n , P. Taillie*, B. Poulter *, J. Vukomanovic n, K. Singh*, J. Swenson *, H. Mitasova n , J. Smith*, R. Meentemeyer n 

Contributors: L. Smart n , P. Taillie*, B. Poulter *, J. Vukomanovic n, K. Singh*, J. Swenson *, H. Mitasova n , J. Smith*, R. Meentemeyer n 

author keywords: ghost forests; sea level rise; saltwater intrusion; LiDAR; aboveground carbon
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Sources: Web Of Science, ORCID
Added: October 19, 2020

2020 journal article

Floodplain response to varied flows in a large coastal plain river

GEOMORPHOLOGY, 354.

By: Y. Chen *, J. Mossa * & K. Singh n

author keywords: River-floodplain systems; Inundation modeling; Relative elevation model; HEC-RAS; Light detection and ranging; Apalachicola River
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: May 8, 2020

2020 journal article

Mapping Understory Invasive Plants in Urban Forests with Spectral and Temporal Unmixing of Landsat Imagery

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 86(8), 509–518.

By: K. Singh* & J. Gray* 

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID
Added: October 19, 2020

2020 journal article

Recurrent Shadow Attention Model (RSAM) for shadow removal in high-resolution urban land-cover mapping

REMOTE SENSING OF ENVIRONMENT, 247.

By: Y. Zhang  n, G. Chen *, J. Vukomanovic n, K. Singh n, Y. Liu *, S. Holden *, R. Meentemeyer n 

author keywords: Shadow removal; Urban land-cover mapping; High resolution; Recurrent Shadow Attention Model (RSAM); Urban development patterns; Deep learning
TL;DR: A Recurrent Shadow Attention Model (RSAM) is developed, capitalizing on state-of-the-art deep learning architectures, to retrieve fine-scale land-cover classes within cast and self shadows along the urban-rural gradient to eliminate the effects in high-resolution mapping. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID
Added: August 3, 2020

2020 journal article

Tree canopy cover and carbon density are different proxy indicators for assessing the relationship between forest structure and urban socioecological conditions

ECOLOGICAL INDICATORS, 113.

By: G. Chen *, K. Singh n, J. Lopez* & Y. Zhou *

author keywords: Urban forest; Canopy cover; Carbon density; Landscape pattern; Socioeconomic factors; Neighborhood scale; Light detection and ranging (LiDAR); Aerial photography
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: April 20, 2020

2018 journal article

Not seeing the forest for the trees: Modeling exurban viewscapes with LiDAR

LANDSCAPE AND URBAN PLANNING, 170, 169–176.

By: J. Vukomanovic n, K. Singh n, A. Petrasova n  & J. Vogler* 

author keywords: DEM; Land change; Landscape aesthetics; Multi-scale; Top-of canopy; Visual quality
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 journal article

The managed clearing: An overlooked land-cover type in urbanizing regions?

PLOS ONE, 13(2).

By: K. Singh n, M. Madden *, J. Gray n  & R. Meentemeyer n 

MeSH headings : Conservation of Natural Resources / methods; Conservation of Natural Resources / statistics & numerical data; Ecosystem; Forests; Georgia; Maps as Topic; Natural Resources; North Carolina; United States; United States Department of Agriculture; Urbanization
TL;DR: This study reveals that managed clearings are the most common land cover type in these cities, covering 28% of the total sampled land area, 6.2% higher than the total area of impervious surfaces. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Assessing effect of dominant land-cover types and pattern on urban forest biomass estimated using LiDAR metrics

Urban Ecosystems, 20(2), 265–275.

By: K. Singh n, R. Bianchetti*, G. Chen * & R. Meentemeyer n 

UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

Uncertainties in mapping forest carbon in urban ecosystems

JOURNAL OF ENVIRONMENTAL MANAGEMENT, 187, 229–238.

By: G. Chen *, E. Ozelkan *, K. Singh n, J. Zhou*, M. Brown* & R. Meentemeyer n 

author keywords: Urban forest; Carbon mapping; Uncertainty analysis; Remote sensing resolution; Neighborhood pattern
MeSH headings : Carbon / analysis; Cities; Forests; Geography; North Carolina; Remote Sensing Technology / methods; Reproducibility of Results; Residence Characteristics; Trees / physiology; Uncertainty
TL;DR: It is found that changing remote sensing data resolution introduced noticeable uncertainties (variation) in forest carbon estimation at the neighborhood level, and for both LiDAR and NAIP, urban neighborhoods with a higher degree of anthropogenic disturbance unveiled a higher level of uncertainty in carbon mapping. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

When Big Data are Too Much: Effects of LiDAR Returns and Point Density on Estimation of Forest Biomass

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 9(7), 3210–3218.

By: K. Singh n, G. Chen *, J. Vogler n  & R. Meentemeyer  n

author keywords: Aboveground biomass; data reduction; large-area assessments; light detection and ranging (LiDAR); multiple linear regression (MLR); point density and returns; urban forest
TL;DR: Examination of the combined effects of LiDAR returns and data reduction on field-measured estimates of aboveground forest biomass in deciduous and mixed evergreen forests in an urbanized region of North Carolina, USA suggests thatLiDAR first returns at reduced point density provide sufficient data for mapping urban forest biomass and may be an effective alternative to multireturn data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

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