MANGROVE PLANTATION FOREST ASSESSMENT USING STRUCTURAL ATTRIBUTES DERIVED FROM LIGHT DETECTION AND RANGING (LiDAR) DATA
نویسندگان
چکیده
منابع مشابه
Estimation of Forest Structural Parameters from Lidar and Sar Data
Vegetation spatial structure including plant height, biomass, vertical and horizontal heterogeneity, is an important factor influencing the exchanges of matter and energy between landscape and atmosphere, and the biodiversity of ecosystems. Regional and global forest biomass and forest structure estimation is essential for understanding and monitoring ecosystem responses to human activities and...
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LiDAR and hyperspectral data provide rich and complementary information about the content of a scene. In this work, we examine methods of data fusion, with the goal of minimizing information loss due to point-cloud rasterization and spatial-spectral resampling. Two approaches are investigated and compared: 1) a point-cloud approach in which spectral indices such as Normalized Difference Vegetat...
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Small area estimation (SAE) techniques have been successfully applied in forest inventories to provide reliable estimates for domains where the sample size is small (i.e. small areas). Previous studies have explored the use of either Area Level or Unit Level Empirical Best Linear Unbiased Predictors (EBLUPs) in a univariate framework, modeling each variable of interest at a time, and not consid...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xli-b8-617-2016