Random Forest Machine Learning Technique for Automatic Vegetation Detection and Modelling in LiDAR Data

 

Abstract

Machine learning techniques have gained a distinguished position in the automatic processing of Light Detection and Ranging (LiDAR) data area. They represent the actual research topic in the remote sensing domain. Indeed, this paper presents one method of supervised machine learning, which is called Random Forest. This algorithm is discussed, and their primary applications in automatic vegetation extraction and modelling in the LiDAR data area are presented here.

 

Read More about this Article: https://juniperpublishers.com/ijesnr/IJESNR.MS.ID.556234.php

Read More Juniper Publishers Google Scholar: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=4WXzQFMAAAAJ&citation_for_view=4WXzQFMAAAAJ:hC7cP41nSMkC

 


Comments

Post a Comment

Popular posts from this blog

Effects of PM2.5 on Emergency Room Visits for Cardiovascular and Respiratory Diseases in Central Taiwan-Juniper Publishers

Image
Juniper Publishers- Open Access Journal of Environmental Sciences & Natural Resources Effects of PM2.5 on Emergency Room Visits for Cardiovascular and Respiratory Diseases in Central Taiwan Authored by Ssu Ting Liu Abbreviations CVD: Cardiovascular Diseases; RDs: Respiratory Diseases; EPA: Environmental Protection Administration; GAM: Generalized Additive Model Go to Background and Objective PM2.5 is one of the hazardous pollutants in air, its chemical composition is complex, which causes adverse effects on cardiovascular diseases (CVD) and respiratory diseases (RDs) due to climate change and human activities. Therefore, the aim is to assess the PM2.5 concentrations affects emergency room visits of CVDs and RDs. Go to Materials and Methods Air pollutant’s data selected from the air quality monitoring station of Environmental Protection Administration (EPA) in central Taiwan during the period of 2006 to 2008. Registry of CVDs and RDs emergency room vis...
Read more

Value Chain Analysis of Red Pepper: The Case of Abeshge District, Guragie Zone, South Ethiopia-Juniper Publishers

Image
Juniper Publishers- Open Access Journal of Environmental Sciences & Natural Resources Value Chain Analysis of Red Pepper: The Case of Abeshge District, Guragie Zone, South Ethiopia Authored by Mekdes Dessie Abstract The study was conducted at Abshige Woreda to analyze the value chain of red pepper and the factors that determine the supply of red pepper to the market. The study has duly focused on the market channel, market participants and performance of red pepper markets. The main determinants of volume of red pepper supply were also analyzed. The data were generated by structured questionnaire, focus group discussions, key informant interviews and field observation focus. This was augmented by secondary data collected from the Bureau of Agriculture and Rural Development, Woreda marketing agency reports and websites. Traders took a total of 61.3% out of the total profit margin. Red pepper producers added 38.7% of the total value of red pepper in the woreda. T...
Read more

Evaluation of Brassica Varieties as Affected by Various Sowing Methods in Peshawar Valley-Juniper Publishers

Image
Juniper Publishers- Open Access Journal of Environmental Sciences & Natural Resources   Evaluation of Brassica Varieties as Affected by Various Sowing Methods in Peshawar Valley Authored by Younis Jan Abstract This study aimed to evaluate the effect of sowing methods on varietal performance and yield of brassica under agro-climatic conditions of Peshawar valley. The experiment was conducted at Pakistan Academy for Rural Development (PARD), Peshawar in Randomized Complete Block Design (RCBD) with three replications. Three brassica varieties (Zahoor, Abaseen-95 and advance line) and three sowing methods (Ridge, Line, and Broadcast) were studied. Statistical analysis of the data revealed that varieties had a significant effect on days to emergence, emergence m -2 , and days to flowering, number of branches plant -1 , number of pods plant -1 , and number of leaves plant -1 , leaf area, plant height, and seed pod -1 . The increases in yield components were recorde...
Read more