Estimation of Forest Structural Attributes Using ICESat/GLAS-Spaceborne Laser Altimetry Data in the Western Ghats Region of India

被引:8
作者
Indirabai, Indu [1 ]
Nair, M. V. Harindranathan [1 ]
Nair, Jaishanker R. [2 ]
Nidamanuri, Rama Rao [3 ]
机构
[1] Cochin Univ Sci & Technol, Sch Environm Studies, Kochi, Kerala, India
[2] IIITM Kerala, CV Raman Lab Ecol Informat, Technopk Campus, Thiruvananthapuram, Kerala, India
[3] Indian Inst Space Sci & Technol, Dept Earth & Space Sci, Thiruvananthapuram, Kerala, India
关键词
ICESat GLAS; Full waveform; Canopy height model; LiDAR; WAVE-FORM LIDAR; CANOPY STRUCTURE; HEIGHT; AIRBORNE; GLAS; PARAMETERS; INTEGRATION; RETRIEVAL; INVENTORY; LVIS;
D O I
10.1007/s41651-019-0033-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Three-dimensional structural information of a forest plays a significant role in global forest ecosystem management practices. Optical remote sensing successfully provides abundant spectral information regarding the horizontal distribution of forests. However, measuring the vertical structural attributes of the forest ecosystems for highly complex and heterogeneous forests such as Western Ghats (India) is typically challenging for even these technologies. The measurements of the forest stand-level structural parameters in the Western Ghats of India have not been reported to date. Therefore, the objective of the present study was the estimation of the structural attributes of Mudumalai and Sholayar reserved forests in the Western Ghats region of India using spaceborne ICESat GLAS data. The forest structural attributes estimated in the present study were as follows: canopy height, canopy density, and understory vegetation height. The results obtained indicated a strong correlation with field measurements. The ICESat/GLAS data used in the present study enabled the analysis of structural parameters, contributing significantly to the better understanding of the heterogeneous complex forest ecosystem of the Western Ghats.
引用
收藏
页数:13
相关论文
共 61 条
[1]   Geoscience Laser Altimeter System (GLAS) on the ICESat mission: On-orbit measurement performance [J].
Abshire, JB ;
Sun, XL ;
Riris, H ;
Sirota, JM ;
McGarry, JF ;
Palm, S ;
Yi, DH ;
Liiva, P .
GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (21) :1-4
[2]  
Bae S, 2002, ALGORITHM THEORETICA
[3]   Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil [J].
Baghdadi, Nicolas ;
le Maire, Guerric ;
Fayad, Ibrahim ;
Bailly, Jean Stephane ;
Nouvellon, Yann ;
Lemos, Cristiane ;
Hakamada, Rodrigo .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (01) :290-299
[4]   Regional aboveground forest biomass using airborne and spaceborne LiDAR in Quebec [J].
Boudreau, Jonathan ;
Nelson, Ross F. ;
Margolis, Hank A. ;
Beaudoin, Andre ;
Guindon, Luc ;
Kimes, Daniel S. .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (10) :3876-3890
[5]   Nondestructive estimates of above-ground biomass using terrestrial laser scanning [J].
Calders, Kim ;
Newnham, Glenn ;
Burt, Andrew ;
Murphy, Simon ;
Raumonen, Pasi ;
Herold, Martin ;
Culvenor, Darius ;
Avitabile, Valerio ;
Disney, Mathias ;
Armston, John ;
Kaasalainen, Mikko .
METHODS IN ECOLOGY AND EVOLUTION, 2015, 6 (02) :198-208
[6]  
Chauve A, 2008, FORESTSAT C 07, P5
[7]   Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry [J].
Chen, Qi .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (07) :1610-1627
[8]   Estimation of Forest Aboveground Biomass in Changbai Mountain Region Using ICESat/GLAS and Landsat/TM Data [J].
Chi, Hong ;
Sun, Guoqing ;
Huang, Jinliang ;
Li, Rendong ;
Ren, Xianyou ;
Ni, Wenjian ;
Fu, Anmin .
REMOTE SENSING, 2017, 9 (07)
[9]   Integration of GLAS and Landsat TM data for aboveground biomass estimation [J].
Duncanson, L. I. ;
Niemann, K. O. ;
Wulder, M. A. .
CANADIAN JOURNAL OF REMOTE SENSING, 2010, 36 (02) :129-141
[10]   Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas [J].
El Hajj, Mohammad ;
Baghdadi, Nicolas ;
Fayad, Ibrahim ;
Vieilledent, Ghislain ;
Bailly, Jean-Stephane ;
Dinh Ho Tong Minh .
REMOTE SENSING, 2017, 9 (03)