Open AccessAlgorithm for assessing forest stand productivity index using leaf area index
Author(s) -
Faid Abdul Manan,
Muhammad Buce Saleh,
Indra Jaya,
Uus Saepul Mukarom
Publication year - 2019
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v16.i3.pp1311-1319
Subject(s) - productivity , basal area , index (typography) , site index , forestry , diameter at breast height , leaf area index , mathematics , tree (set theory) , productivity model , agricultural engineering , algorithm , statistics , computer science , engineering , geography , botany , total factor productivity , biology , economics , mathematical analysis , world wide web , macroeconomics
This paper describes a development of an algorithm for assessing stand productivity by considering the stand variables. Forest stand productivity is one of the crucial information that required to establish the business plan for unit management at the beginning of forest planning activity. The main study objective is to find out the most significant and accurate variable combination to be used for assessing the forest stand productivity, as well as to develop productivity estimation model based on leaf area index. The study found the best stand variable combination in assessing stand productivity were density of poles (X2), volume of commercial tree having diameter at breast height (dbh) 20-40 cm (X16), basal area of commercial tree of dbh >40 cm (X20) with Kappa Accuracy of 90.56% for classifying into 5 stand productivity classes. It was recognized that the examined algorithm provides excellent accuracy of 100% when the stand productivity was classified into only 3 classes. The best model for assessing the stand productivity index with leaf area index is y = 0.6214x - 0.9928 with R2= 0.71, where y is productivity index and x is leaf area index.