+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Forecasted reference sample plot data in estimations of stem volume using satellite spectral data and the kNN method



Forecasted reference sample plot data in estimations of stem volume using satellite spectral data and the kNN method



International Journal of Remote Sensing 23(9): 1757-1774



When applying remote sensing in forestry, there is often a need for reference sample plot data as a link between what is seen in the image and the actual ground conditions. In this study, the effects on the estimation accuracy of using forecasted reference sample plot data when estimating stem volume in forests are investigated. The k nearest neighbour (kNN) estimation method is applied, using spectral information in a satellite image and sample plot reference data forecasted up to 25 years.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 003775640

Download citation: RISBibTeXText

DOI: 10.1080/01431160110075794


Related references

Interpolate volume tables (total volume) for use in compilation of sample plot data. Misc. Serv. Dom. For. Serv, 3, 23, 1944

Estimating stem volume and basal area in forest compartments by combining satellite image data with field data. Scandinavian Journal of Forest Research 15(1): 103-111, 2000

Airborne low-frequency synthetic aperture radar and optical satellite data as complementary data sources for forest stem volume estimation. Scandinavian Journal of Forest Research 25(1): 89-99, 2010

The role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas. Isprs Journal of Photogrammetry and Remote Sensing 66(6): 787-797, 2011

Cost-plus-loss analyses of forest inventory strategies based on kNN-assigned reference sample plot data. Silva Fennica 37(3): 381-398, 2003

Comparing and combining stem analysis and permanent sample plot data in site index models. Forest Science 51(4): 277-283, 2005

A system of growth models for even-aged pure stands based on the Richards growth function. (IV) Estimation of the parameters using data from a temporary sample plot and stem-analysed sample trees. Journal of the Japanese Forestry Society 70(3): 95-103, 1988

Estimating plot-level forest structural attributes using high spectral resolution ASTER satellite data in even-aged Eucalyptus plantations in southern KwaZulu-Natal, South Africa. Southern Forests: A Journal Of Forest Science: 3, 227-236 10, 2008

Assimilation of Satellite Cloud Data into the GMAO Finite-Volume Data Assimilation System Using a Parameter Estimation Method. Part I: Motivation and Algorithm Description. Journal of the Atmospheric Sciences 64(11): 3880-3895, 2007

Quantifying ChIP-seq data: a spiking method providing an internal reference for sample-to-sample normalization. Genome Research 24(7): 1157-1168, 2014

Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data. Scandinavian Journal of Forest Research 28(4): 373-385, 2013

Impacts of Plot Location Errors on Accuracy of Mapping and Scaling Up Aboveground Forest Carbon Using Sample Plot and Landsat TM Data. IEEE Geoscience and Remote Sensing Letters 10(6): 1483-1487, 2013

Forest inventory. Volume II. Inventory data collected by terrestrial measurements and observations. Data processing in forest inventory. The sample plot. Plotless sampling and regeneration survey. List sampling with unequal probabilities. Planning, performance and field checking of forest inventories. Forest inventory Volume II Inventory data collected by terrestrial measurements and observations Data processing in forest inventory The sample plot Plotless sampling and regeneration survey List sampling with unequal probabilities Planning, performance and field checking of forest inventories: 469, 1973

Estimations of optimum plot size using data from bromegrass uniformity trials. Res. Bull. Ia. Agric. Exp. Sta, 396, 296-320, 1953

Digital registration of topographic data and satellite MSS data for augmented spectral analysis. Proceedings of the American Society of Photogrammetry, Annual Meeting, 1972-? 42): 180-187, 1976