A Comparison of Forest Biophysical Parameters Assessed with Lidar Data on Three Platforms: Ground, Airborne, and Satellite

نویسندگان

  • Sorin C. Popescu
  • Kaiguang Zhao
  • Demetrios Gatziolis
  • Ryan Sheridan
چکیده

7 Lidar remote sensing from three platforms – ground, airborne, and spaceborne – has 8 the capability to acquire direct three-dimensional measurements of the forest canopy that 9 are useful for estimating a variety of forest inventory parameters, including tree height, 10 volume, and biomass, and also for deriving useful information for characterizing wildlife 11 habitat or forest fuels. 12 The overall goal of this paper was to compare biomass estimates and forest structure 13 metrics obtained by processing ICESat waveform data and spatially coincident discrete-14 return airborne lidar and ground-based data over varied terrain conditions. For mostly 15 flat-terrain conditions, we investigated lidar data over forests in east Texas, which are 16 characteristics for most of the southeastern United States, thus allowing terrain to be 17 largely excluded as a source of error. For sloped-terrain, we used lidar data over forests in 18 Oregon. With biomass estimates derived from waveform height metrics, we also 19 compared ground elevation measurements and canopy parameters. Specific objectives 20 were to: compare ground elevations and canopy height parameters derived from ICESat 21 and airborne lidar; (2) investigate above ground biomass estimates; (3) develop a 3D ray-22 tracing model to simulate lidar waveforms over forests with sloped terrain; and (4) test 23 model performance with real lidar data over terrain with varied topography. Over flat 24 terrain, results indicated a very strong correlation for terrain elevations between ICESat 25 and airborne lidar, with R-square values of 0.98 and sub-meter RMSE. ICESat height 26

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Lidar Remote Sensing for Biomass Assessment

Optical remote sensing provides us with a two dimensional representation of land-surface vegetation and its reflectance properties which can be indirectly related to biophysical parameters (e.g. NDVI, LAI, fAPAR, and vegetation cover fraction). However, in our interpretation of the world around us, we use a three-dimensional perspective. The addition of a vertical dimension allows us to gain in...

متن کامل

A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data

A potential solution to reduce high acquisition costs for airborne lidar (light detection and ranging) data is to combine lidar transects and optical satellite imagery to characterize forest vertical structure. Although multiple regression is typically used for such modeling, it seldom fully captures the complex relationships between forest variables. In an effort to improve these relationships...

متن کامل

Detection of large above-ground biomass variability in lowland forest ecosystems by airborne LiDAR

Quantification of tropical forest above-ground biomass (AGB) over large areas as input for Reduced Emissions from Deforestation and forest Degradation (REDD+) projects and climate change models is challenging. This is the first study which attempts to estimate AGB and its variability across large areas of tropical lowland forests in Central Kalimantan (Indonesia) through correlating airborne li...

متن کامل

End-to-End Simulation for a Forest-Dedicated Full-Waveform Lidar Onboard a Satellite Initialized from Airborne Ultraviolet Lidar Experiments

In order to study forests at the global scale, a detailed link budget for a lidar system onboard satellite is presented. It is based on an original approach coupling airborne lidar observations and an end-to-end simulator. The simulator is initialized by airborne lidar measurements performed over temperate and tropical forests on the French territory, representing a wide range of forests ecosys...

متن کامل

Advances in forest characterisation, mapping and monitoring through integration of LiDAR and other remote sensing datasets

The diversity of scales and modes in which ground, airborne and spaceborne LiDAR operate has increased opportunities for quantitatively assessing forest structure, biomass and species composition and obtaining more general information on dynamics and ecological/commercial value. However, the level of information extracted can be increased even further by integrating data from other sensor types...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010