Comparison of individual tree crown delineation method for carbon stock estimation using very high resolution satellite images

Rachna Shah, Yousif Ali Hussin*, Martin Schlerf, Hammad Gilani

*Corresponding author for this work

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Abstract

Greenhouse gas inventories and emission reduction program requires scientifically robust methods to quantify forest carbon storage in forest. Remote sensing techniques are accurate and low-cost alternatives to the field based assessment. High spatial resolution remotely sensed imagery provides viable sources and opportunities for forest inventory at an individual tree level. The study aims to compare two methods to delineate the individual tree crown to develop a model to estimate carbon stock obtained from field survey and the crown projection area derived from high resolution satellite data of 0.5 m spatial resolution (GeoEye-1). The performance of two algorithms, namely region growing and valley following of object oriented classification was compared in the dense broadleaf forest of Ludhikhola watershed, Gorkha, Nepal. The region growing of eCognition and valley following of ITC algorithms were used to delineate individual tree crowns produced a segmentation accuracy of 68% and 58% respectively. The region growing is based on finding the local minima to create the boundary and local maxima to locate the potential tree top. The valley following algorithm is also based on finding the local minima by following the shades between the valleys of the trees canopies. Shorea robusta trees were identified in the image using a nearest neighbor classification approach with an overall accuracy of 74%.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
PublisherCurran Associates Inc.
Pages1311-1316
Number of pages6
Volume2
ISBN (Print)9781618394972
Publication statusPublished - 1 Dec 2011
Event32nd Asian Conference on Remote Sensing, ACRS 2011: Sensing for Green Asia - Taipei, Taiwan, Province of China
Duration: 3 Oct 20117 Oct 2011
Conference number: 32

Conference

Conference32nd Asian Conference on Remote Sensing, ACRS 2011
Abbreviated titleACRS
CountryTaiwan, Province of China
CityTaipei
Period3/10/117/10/11

Keywords

  • Carbon stock map
  • Crown projection area
  • Region growing
  • Valley following

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