scholarly journals Effectiveness of Grassland Vegetation on a Temporary Capped Landfill Site

Forage Groups ◽  
2019 ◽  
Author(s):  
Steffen Beck-Broichsitter ◽  
Heiner Fleige ◽  
Horst Gerke ◽  
Rainer Horn
Keyword(s):  
Landfill Site ◽  
Grassland Vegetation

ENVIRONMENTAL IMPACT AND RISK ASSESSMENT IN THE AREA OF "PATA RAT" LANDFILL SITE, CLUJ-NAPOCA, ROMANIA

2014 ◽  
Vol 13 (2) ◽  
pp. 435-447
Author(s):  
Gabriela-Emilia Popita ◽  
Ildiko Varga ◽  
Anca Gurzau ◽  
Fazekas Bence ◽  
Tatiana Yuzhakova ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Environmental Impact ◽  
Landfill Site

Changes of Grassland Vegetation Growth in Xilin Gol League over 10 Years and Analysis on the Influence Factors

2013 ◽  
Vol 15 (2) ◽  
pp. 270 ◽  
Author(s):  
Haida YU ◽  
Xiuchun YANG ◽  
Bin XU ◽  
Yunxiang JIN ◽  
Tian GAO ◽  
...  
Keyword(s):  
Influence Factors ◽  
Grassland Vegetation ◽  
Vegetation Growth

scholarly journals Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland

2021 ◽  
Vol 13 (4) ◽  
pp. 656
Author(s):  
Xiang Zhang ◽  
Yuhai Bao ◽  
Dongliang Wang ◽  
Xiaoping Xin ◽  
Lei Ding ◽  
...  
Keyword(s):  
Major Effect ◽  
Canopy Height ◽  
Vegetation Coverage ◽  
Accurate Estimation ◽  
Grassland Vegetation ◽  
Pixel Resolution ◽  
Aerial Vehicle ◽  
Grazing Intensities ◽  
Vegetation Parameters ◽  
Mongolian Grassland

The accurate estimation of grassland vegetation parameters at a high spatial resolution is important for the sustainable management of grassland areas. Unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) sensors with a single laser beam emission capability can rapidly detect grassland vegetation parameters, such as canopy height, fractional vegetation coverage (FVC) and aboveground biomass (AGB). However, there have been few reports on the ability to detect grassland vegetation parameters based on RIEGL VUX-1 UAV LiDAR (Riegl VUX-1) systems. In this paper, we investigated the ability of Riegl VUX-1 to model the AGB at a 0.1 m pixel resolution in the Hulun Buir grazing platform under different grazing intensities. The LiDAR-derived minimum, mean, and maximum canopy heights and FVC were used to estimate the AGB across the entire grazing platform. The flight height of the LiDAR-derived vegetation parameters was also analyzed. The following results were determined: (1) The Riegl VUX-1-derived AGB was predicted to range from 29 g/m2 to 563 g/m2 under different grazing conditions. (2) The LiDAR-derived maximum canopy height and FVC were the best predictors of grassland AGB (R2 = 0.54, root-mean-square error (RMSE) = 64.76 g/m2). (3) For different UAV flight altitudes from 40 m to 110 m, different flight heights showed no major effect on the derived canopy height. The LiDAR-derived canopy height decreased from 9.19 cm to 8.17 cm, and the standard deviation of the LiDAR-derived canopy height decreased from 3.31 cm to 2.35 cm with increasing UAV flight altitudes. These conclusions could be useful for estimating grasslands in smaller areas and serving as references for other remote sensing datasets for estimating grasslands in larger areas.

Characterization of bioaerosols in and around a landfill site in Delhi

Aerobiologia ◽  
2021 ◽  
Author(s):  
Arun Srivastava ◽  
Richa Verma ◽  
Dudun Mehta
Keyword(s):  
Landfill Site
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