scispace - formally typeset
Z

Zhuosen Wang

Researcher at University of Maryland, College Park

Publications -  72
Citations -  3874

Zhuosen Wang is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Albedo & Moderate-resolution imaging spectroradiometer. The author has an hindex of 30, co-authored 58 publications receiving 2712 citations. Previous affiliations of Zhuosen Wang include Universities Space Research Association & Boston University.

Papers
More filters
Journal ArticleDOI

NASA's Black Marble Nighttime Lights Product Suite

TL;DR: The Black Marble nighttime lights product suite (VNP46) is available at 500m resolution since January 2012 with data from the VISible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP) as discussed by the authors, which utilizes all high-quality, cloud-free, atmospheric-, terrain-, vegetation-, snow-, lunar-, and stray light-corrected radiances to estimate daily nighttime lights (NTL) and other intrinsic surface optical properties.
Journal ArticleDOI

Evaluation of MODIS Albedo Product (MCD43A) over Grassland, Agriculture and Forest Surface Types During Dormant and Snow-Covered Periods

TL;DR: In this article, the authors assess the moderate-resolution Imaging Spectroradiometer (MODIS) BRDF/albedo 8 day standard product and products from the daily Direct Broadcast (DB) algorithm, and show that these products agree well with ground-based albedo measurements during the more difficult periods of vegetation dormancy and snow cover.
Journal ArticleDOI

Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

TL;DR: A ground-based, upward-scanning, near-infrared lidar, the Echidna® validation instrument (EVI), built by CSIRO Australia, retrieves forest stand structural parameters, including mean diameter at breast height (DBH), stem count density (stems/area), basal area, and above-ground woody biomass with very good accuracy in six New England hardwood and conifer forest stands as discussed by the authors.