A forest inventory using LANDSAT imagery in the Mao-shan area of China
- 1 December 1985
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 6 (12), 1783-1795
- https://doi.org/10.1080/01431168508948328
Abstract
This paper presents a forest inventory study of the Mao-shan area, a region which is partly representative of the forest types of southern China. In the study, the effectiveness of various feature extraction techniques was investigated, new classification algorithms were developed and supervised classification schemes were implemented and assessed. A scheme involving two-dimensional spectrum decomposition classification, manual editing and Bayes classification is proposed. Its application gives results which show promising potential for forest inventory in southern China using computer processing of LANDSAT imagery.Keywords
This publication has 2 references indexed in Scilit:
- Adaptive bit allocation for image compressionComputer Graphics and Image Processing, 1982
- Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral dataInternational Journal of Remote Sensing, 1981