Prediction models for estimating the area, volume, and age of rubber (<I>Hevea brasiliensis</I>) plantations in Malaysia using Landsat TM data

A better alternative to Wald's test-statistic for simple goodness-of-fit tests under one-stage cluster sampling

“…Site D -near Sussex, New Brunswick (Canada) -data are from a photo-interpretation (map D.I) and a classification (map D.II) of N = 135,806 units (12,223 ha) Landsat TM pixels to 11 cover-type classes . Site E -near Kuala Lumpur (Malaysia) -data are from a 1989 (map E.I) and a 1999 (map E.II) classification of N = 166,467 units (14,982 ha) in a Landsat TM image to eight cover-type classes (Suratman et al, 2004).…”

Mapping Deciduous Rubber Plantation Areas and Stand Ages with PALSAR and Landsat Images

“…When trying to compare mapping methods of rubber plantations, few references were found that attempted to retrieve stand age by remote sensing technology [26]. It is well known that stand ages of forests are important in many research fields such as monitoring and management of forest ecosystems, carbon flux estimates, and biomass estimates [27][28][29][30][31][32][33].…”

Estimation of rubber stand age in typhoon and chilling injury afflicted area with Landsat TM data: A case study in Hainan Island, China

“…Rubber tree is a most important arbor species, not only for the market of natural rubber, but also for the contribution to timber supply (Suratman et al, 2004;Jianing et al, 2010). As China's biggest rubber production base, Hainan Island is continuously increasing the cultivation of rubber trees and has now possessed a plantation area of 4.4 Â 10 5 ha in 2010, occupying 13.8% of the total land area of the island and forming the largest artificial ecosystem there (Ju-sheng and Ru-song, 2003;Chen et al, 2007;Jianbo et al, 2010;Yeyong, 2010).…”