Dtm Generated from Lidar Data under Forest Conditions
نویسنده
چکیده
Since laser scanners systems became operational working tools, there have been many studies carried out to find the best way of their utilization. Generating a digital representation of the Earth surface and / or land cover has proven to be the biggest advantage of Light Detection and Ranging (LIDAR) data. The main objective of the presented study is to find out if there are any variations in accuracy between different resolutions of Digital Terrain Models (DTMs) generated from LIDAR data acquired in two seasons. The presented study was carried out in the forest range Głuchów, central Poland, owned by Warsaw University of Life Sciences in Warsaw and containing different types of forests: from one layer stands of Scots pine (Pinus silverstris L.) to multilayer and mixed stands with Birch (Betula), Alder (Alnus) and Hornbeam (Carpinus betulus L.). Generally flat relief covers the study area, with mean height above sea level around 185 m. The Falcon II airborne laser scanner system from Topographische Systemdaten GmbH (TopoSys, Biberach Germany) was used for LIDAR small footprint data acquisition. For this analysis the data of a flight in May and August 2007 were used. Ground survey data were recognized as reference data. During the 2007 and 2008 field sessions, 95 points spread throughout the area were measured. DTMs were generated in TreesVis software (FELIS, Germany). Models with 1 m, 2 m, 3 m, 5 m, 10 m and 20 m spatial resolution were interpolated. Results showed that if the bias error will be removed from data, even in forested areas measured in spring we can expect a DTM accuracy of 10 – 30 cm, comparing to reference data, for raster resolutions from 1 m to 20 m. Digital ground models up to 5 m can be generated in forested areas without significant statistical differences.
منابع مشابه
Algorithm for Extracting Digital Terrain Models under Forest Canopy from Airborne LiDAR Data
Extracting digital elevationmodels (DTMs) from LiDAR data under forest canopy is a challenging task. This is because the forest canopy tends to block a portion of the LiDAR pulses from reaching the ground, hence introducing gaps in the data. This paper presents an algorithm for DTM extraction from LiDAR data under forest canopy. The algorithm copes with the challenge of low data density by gene...
متن کاملAssessment of Errors Caused by Forest Vegetation Structure in Airborne LiDAR-Derived DTMs
Airborne Light Detection and Ranging (LiDAR) is a survey tool with many applications in forestry and forest research. It can capture the 3D structure of vegetation and topography quickly and accurately over thousands of hectares of forest. However, very few studies have assessed how accurately LiDAR can measure surface topography under forest canopies, which may be important, for example, in re...
متن کاملAirborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+
BACKGROUND Carbon stocks and fluxes in tropical forests remain large sources of uncertainty in the global carbon budget. Airborne lidar remote sensing is a powerful tool for estimating aboveground biomass, provided that lidar measurements penetrate dense forest vegetation to generate accurate estimates of surface topography and canopy heights. Tropical forest areas with complex topography prese...
متن کاملAboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest
We investigated the capabilities of a canopy height model (CHM) derived from aerial photographs using the Structure from Motion (SfM) approach to estimate aboveground biomass (AGB) in a tropical forest. Aerial photographs and airborne Light Detection and Ranging (LiDAR) data were simultaneously acquired under leaf-on canopy conditions. A 3D point cloud was generated from aerial photographs usin...
متن کاملAccuracy of Forest Parameters Derived from Medium Footprint Lidar under Operational Constraints
The objective of this study is to test the feasibility of nation-wide medium footprint airborne laser scanning (ALS) data for derivation of forest parameters. The comparison of canopy closure as one important parameter for many forest functions derived from ALS data and aerial photo interpretation was conducted. The present study was carried out in the framework of the Swiss National Forest Inv...
متن کامل