東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Testing the accuracy of lidar forest...

Arnold, Theresa Faye.

FindBook

Google Book

Amazon

博客來

Testing the accuracy of lidar forest measurement replications in operational settings.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Testing the accuracy of lidar forest measurement replications in operational settings./
作者:	Arnold, Theresa Faye.
面頁冊數:	69 p.
附註:	Source: Masters Abstracts International, Volume: 47-05, page: 2692.
Contained By:	Masters Abstracts International47-05.
標題:	Agriculture, Forestry and Wildlife. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1462605
ISBN:	9781109087994

Testing the accuracy of lidar forest measurement replications in operational settings.
Arnold, Theresa Faye.

Testing the accuracy of lidar forest measurement replications in operational settings. - 69 p.

Source: Masters Abstracts International, Volume: 47-05, page: 2692.

Thesis (M.S.)--Mississippi State University, 2009.

The repeatability of stand measurements derived from LiDAR data was tested in east-central Mississippi. Data collected from LiDAR missions and from ground plots were analyzed to estimate stand parameters. Two independent LiDAR missions were flown in approximate orthogonal directions. Field plots were generated where the missions overlapped, and tree data were taken in these plots. LiDAR data found 86-100% of mature pine trees, 64-81% of immature pine trees, and 63-72% of mature hardwood trees. Immature and mature pine tree heights measured from LiDAR were found to be significantly different (alpha=0.05) than field measured heights. Individual tree volumes and plot volume for mature pines were precisely predicted in both flight directions. The results of this study showed that LiDAR repeatability in mature pines can be accurately achieved, while immature pine and hardwood plots were unable to match the repeatability of the mature pine plots.

ISBN: 9781109087994Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Testing the accuracy of lidar forest measurement replications in operational settings.
LDR:01934nam 2200301 4500 001 1398052
005 20110907152316.5
008 130515s2009 ||||||||||||||||| ||eng d
020 $a 9781109087994
035 $a (UMI)AAI1462605
035 $a AAI1462605
040 $a UMI $c UMI
100 1 $a Arnold, Theresa Faye. $3 1676923
245 1 0 $a Testing the accuracy of lidar forest measurement replications in operational settings.
300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 47-05, page: 2692.
500 $a Adviser: David L. Evans.
502 $a Thesis (M.S.)--Mississippi State University, 2009.
520 $a The repeatability of stand measurements derived from LiDAR data was tested in east-central Mississippi. Data collected from LiDAR missions and from ground plots were analyzed to estimate stand parameters. Two independent LiDAR missions were flown in approximate orthogonal directions. Field plots were generated where the missions overlapped, and tree data were taken in these plots. LiDAR data found 86-100% of mature pine trees, 64-81% of immature pine trees, and 63-72% of mature hardwood trees. Immature and mature pine tree heights measured from LiDAR were found to be significantly different (alpha=0.05) than field measured heights. Individual tree volumes and plot volume for mature pines were precisely predicted in both flight directions. The results of this study showed that LiDAR repeatability in mature pines can be accurately achieved, while immature pine and hardwood plots were unable to match the repeatability of the mature pine plots.
590 $a School code: 0132.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Remote Sensing. $3 1018559
690 $a 0478
690 $a 0799
710 2 $a Mississippi State University. $b Forestry. $3 1023727
773 0 $t Masters Abstracts International $g 47-05.
790 1 0 $a Evans, David L., $e advisor
790 1 0 $a Schultz, Emily B. $e committee member
790 1 0 $a Parker, Robert C. $e committee member
790 $a 0132
791 $a M.S.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1462605