scholarly journals Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over an Agricultural Area

Sensors ◽  
2009 ◽  
Vol 9 (2) ◽  
pp. 768-793 ◽  
Author(s):  
Juan Jiménez-Muñoz ◽  
José Sobrino ◽  
Antonio Plaza ◽  
Luis Guanter ◽  
José Moreno ◽  
...  
Keyword(s):  
Vegetation Cover ◽  
Vegetation Indices ◽  
Agricultural Area ◽  
Spectral Mixture Analysis ◽  
Mixture Analysis ◽  
Fractional Vegetation Cover ◽  
Spectral Mixture

scholarly journals Kajian Transformasi Indeks Vegetasi Citra Satelit Sentinel-2A untuk Estimasi Produksi Daun Kayu Putih Menggunakan Linear Spectral Mixture Analysis

2020 ◽  
Vol 3 (1) ◽  
pp. 63
Author(s):  
Lilik Norvi Purhartanto ◽  
Projo Danoedoro ◽  
Pramaditya Wicaksono
Keyword(s):  
Vegetation Index ◽  
Vegetation Indices ◽  
Spectral Mixture Analysis ◽  
Mixture Analysis ◽  
Estimation Model ◽  
Leaf Production ◽  
Melaleuca Cajuputi ◽  
Linear Spectral Mixture Analysis ◽  
Sentinel 2A ◽  
Spectral Mixture

A forest plantation area of Melaleuca cajuputi at BDH Karangmojo, BKPH Yogyakarta are 2,325.20 ha. One of the efforts to keep its sustainability is to plan the target and realization of cajuputi leaf production considerwith forest condition. Advances in remote sensing technology can be an alternative in estimating the cajuputi leaf production on large areas with an efficient time and high accuracy and able to analyze the quality of cajuputi. This study aims to examine Sentinel-2A capabilities through a relationship model of some vegetation indices integrated with vegetative factors on the production to obtain estimates of leaf production, map and test the estimation model accuracy. The method used is to classify objects in pixels with Linear Spectral Mixture Analysis and build relationship between age, number of plants and vegetation index with cajuputi leaf production. The results showed that the unmixing method has 99,66% accuracy in classifying pixels into the fraction of cajuputi. MERIS Terrestrial Chlorophyll Index of unmixing cajuputi fraction simultaneously with age and number of plants has the highest correlation with value of r = 0,668 to the production and modeled in mapping the estimated cajuputi leaf production at the research location with Standard Error of Estimate is 0,183.

Sign in / Sign up

Export Citation Format

Share Document